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DTSTART;TZID=America/Detroit:20190410T080000
DTEND;TZID=America/Detroit:20190410T170000
DTSTAMP:20260604T061619
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
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SUMMARY:The 2019 MICDE Symposium
DESCRIPTION:[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]The Michigan Institute for Computational Discovery and Engineering 2019 Symposium will feature eminent scientists from around the world and the U-M campus. \n\n\nSPEAKERS\n\n\n\n\n\n\n\n\n\n\nMarsha Berger\nProfessor\, Computer Science and Mathematics\nNew York University Courant Institute of Mathematical Sciences \n\nMarisa Eisenberg\nAssociate Professor\, Epidemiology and Mathematics\nUniversity of Michigan \n\nCarla Gomes\nProfessor and Director\, Institute for Computational Sustainability\nCornell University \n\nJan Hesthaven\nDean\, School of Basic Sciences\nEPFL\, Switzerland \n\nNecmiye Ozay\nAssistant Professor\, Electrical Engineering and Computer Science\nUniversity of Michigan \n\nStephen Wolfram\nFounder and CEO\, Wolfram Research\nCreator of Mathematica \n\n\n\n\n\n\n\nA poster competition will be held\, open to post-docs and graduate students. \nMore information will be posted here as it becomes available. Also see micde.umich.edu/symposium19[/vc_column_text][/vc_column][/vc_row]
URL:https://micde.umich.edu/event/the-2019-micde-symposium/
LOCATION:Michigan League\, 911 N. University\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Featured Events,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190404T120000
DTEND;TZID=America/Detroit:20190404T130000
DTSTAMP:20260604T061619
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000220-1554379200-1554382800@micde.umich.edu
SUMMARY:MICDE Seminar: Prith Banerjee\, Chief Technology Officer\, ANSYS\, Inc.
DESCRIPTION:Bio: Prith Banerjee is the Chief Technology Officer of ANSYS where he is responsible for leading the evolution of ANSYS’ Technology strategy and champion the company’s next phase of innovation and growth. He also serves on the Board of Directors of Cray\, Inc. and Cubic Corporation. Previously he used to be Senior Client Partner at Korn Ferry where he was responsible for IOT and Digital Transformation in the Global Industrial Practice. Formerly\, he was Executive Vice President\, Chief Technology Officer of Schneider Electric. Previously\, he was Managing Director of Global Technology Research and Development at Accenture. Formerly\, he was Chief Technology Officer and Executive Vice President of ABB. Earlier\, he was Senior Vice President of Research at HP and Director of HP Labs. Formerly\, he was Dean of the College of Engineering at the University of Illinois at Chicago. Formerly\, he was the Walter P. Murphy Professor and Chairman of Electrical and Computer Engineering at Northwestern University. Prior to that\, he was Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. In 2000\, he founded AccelChip\, a developer of products for electronic design automation\, which was acquired by Xilinx Inc. in 2006. During 2005-2011\, he was Founder\, Chairman and Chief Scientist of BINACHIP Inc.\, a developer of products in electronic design automation. He was listed in the FastCompany list of 100 top business leaders in 2009. He is a Fellow of the AAAS\, ACM and IEEE\, and a recipient of the 1996 ASEE Terman Award and the 1987 NSF Presidential Young Investigator Award. He received a B.Tech. in electronics engineering from the Indian Institute of Technology\, Kharagpur\, and an M.S. and Ph.D. in electrical engineering from the University of Illinois\, Urbana. \nFUTURE OF SIMULATION-BASED PRODUCT INNOVATION IN THE DIGITAL WORLD\nDigital transformation refers to the use of digital technologies such as cloud\, IOT\, AI/ML\, to transform the way business is executed. Digital transformation is impacting every industry – automotive\, agriculture\, logistics\, healthcare and manufacturing. In this talk we will discuss how Digital Transformation is disrupting the manufacturing industry. In the past\, engineered products were designed with mechanical and electrical CAD tools\, simulated and validated for correctness with CAE tools\, prototypes were fabricated and tested\, and products were then manufactured at scale in factories. This process required long product cycles often requiring years to build a new product. Today\, one can use unlimited computing and storage available from the cloud to do generative design to explore 10\,000 design choices in near real-time\, verify these products accurately through simulation (eliminating the need to build physical prototypes) and manufacture the products using additive manufacturing and factory automation (Industrie 4.0). In the past\, simulation tools were used to model specific physics such as mechanical structures\, or fluid dynamics\, or electromagnetic interactions by solving second order partial differential equations using numerical methods. Today the simulation tools are being used to solve multi-physics problems (fluid-structure-electromagnetics interactions) at scale using the most complex solvers. These products once built are connected using IOT so that manufacturers have 24/7 connectivity to all these products\, and can monitor how customers are using these product; this helps the manufacturers design future generations of products even faster. The connectivity also allows them to monitor the products for failures using predictive analytics\, and service these products remotely. In this talk I will discuss how the ANSYS Pervasive Simulation Platform allows hardware and software developers to work together in all phases of a product development lifecycle including Ideation\, Design Manufacturing\, and Operations. Simulation tools are increasingly being used in the ideation phase by designers to get real-time simulation of the parts as soon as they are being conceptualized. This has resulted in shorter\, agile product cycles even for hardware products allowing innovative products to be designed and produced in months and days. Companies are increasingly using model-based systems engineering concepts to take high level requirements of products\, and manage the complexity of product design using concepts of Digital Threads\, Digital Twins\, and Digital Continuity. We will touch upon some future directions of simulation-based product innovation around AI/Machine Learning\, Multi-physics Platforms\, Hyperscale Simulation\, and the convergence of the Digital and Physical worlds using IOT and Augmented Reality/Virtual Reality.
URL:https://micde.umich.edu/event/prith-banerjee-ansys/
LOCATION:1005 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190314T150000
DTEND;TZID=America/Detroit:20190314T160000
DTSTAMP:20260604T061619
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000154-1552575600-1552579200@micde.umich.edu
SUMMARY:MICDE Seminar: Narayana R. Aluru\, Professor\, Department of Mechanical Science and Engineering\, Beckman Institute for Advanced Science and Technology\, University of Illinois at Urbana-Champaign
DESCRIPTION:Bio: Professor Aluru studies problems at the crossroads of mechanical engineering\, electrical engineering\, materials science and chemical engineering. His work in the area of microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS) revealed previously unknown nonlinear dynamic phenomena\, such as complex oscillations\, period doubling bifurcation to chaos\, and U-sequence. These insights led him to perform fundamental studies on thermoelastic damping in MEMS and to develop a new model to predict thermoelastic damping for complex nonlinear oscillations encountered in NEMS. \nIn another effort\, he developed the first bio-MEMS and microfluidics models for the analysis and design of lab-on-a-chip applications\, as well as mathematical models for pH- and electric field-responsive hydrogels-materials with potential applications in small-scale sensing and actuation. \nProfessor Aluru also studies the unique physics that occur at the nanometer level. He discovered several new physical phenomena through nanofluidics research\, including charge inversion\, flow reversal\, anomalously immobilized water\, asymmetric dependence of fluid and ion transport on surface charge\, and enhanced conductivity in nanopores. His recent investigations of surface diffusion demonstrated that liquid molecules move as much as 30 times faster over a solid surface when that surfaced is only partially covered by such molecules\, and that larger molecules move faster on a partially covered surface than shorter ones do. His other work in nanofluidics includes the multiscale modeling of the transport of water and other ions through membranes\, studying the function of biological channels in the membranes of living cells\, investigating the use of carbon nanotubes to filter pathogens and other toxins out of water\, and exploring the use of carbon and boron nanotubes to speed the removal of salt from water during reverse osmosis. \nCOMPUTATIONAL NANOSCALE HYDRODYNAMICS\nMany applications in biology\, engineering and science rely on efficient hydrodynamic transport through nanometer scale pores and channels. For example\, channels and pores in cellular membranes regulate the functionality of the cell by selectively and efficiently exchanging water and ions between extra and intra cellular environments. Selective pores in ultrathin membranes have been shown to be highly efficient for water desalination and power generation. Classical theories often fail to describe fluid physics at nanometer scale. For example\, density layering\, size dependent fluid properties\, restricted translational and rotational motions\, charge inversion\, flow reversal and several other important phenomena have been observed at nanometer scale. The focus of this talk is to develop efficient theories and computational approaches to accurately describe fluid physics at nanometer scales. First\, we will introduce an empirical potential-based quasi-continuum theory (EQT) to accurately predict the structure of confined fluids. We show that the density layering from EQT matches well with molecular dynamics (MD) and EQT is many orders of magnitude faster compared to MD. Next\, we show that the EQT framework can be combined with the generalized Langevin theory to compute diffusion of confined fluids and with the classical Navier-Stokes equations to compute the transport of confined fluids. We will show several examples to demonstrate the accuracy and efficiency of the quasi-continuum theory for confined fluids. \nProf. Aluru is being hosted Professors Krishna Garikipati and Eric Michielssen. If you would like to meet Prof. Aluru\, please send an email to micde-events@umich.edu. If you are an MICDE student or fellow\, or a post-doc\, and would like to join Prof. Aluru for lunch\, please RSVP here.
URL:https://micde.umich.edu/event/micde-seminar-narayana-aluru-department-of-mechanical-engineering-uicuc/
LOCATION:1005 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190218T150000
DTEND;TZID=America/Detroit:20190218T160000
DTSTAMP:20260604T061619
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000207-1550502000-1550505600@micde.umich.edu
SUMMARY:MICDE Seminar: Jim Haxby\, Evans Family Distinguished Professor; Director\, Center for Cognitive Neuroscience\, Dartmouth College
DESCRIPTION:Bio1: James V. Haxby is a professor in the Department of Psychological and Brain Sciences at Dartmouth College and the Director for the Dartmouth Center for Cognitive Neuroscience. He is best known for his work on face perception and applications of machine learning in functional neuroimaging. Haxby received a BA from Carleton College in 1973 and completed a Fulbright Scholarship at the University of Bonn in 1974. He obtained a PhD in clinical psychology at the University of Minnesota in 1981. After receiving his PhD\, Haxby held several clinical psychology positions at the Minneapolis VA Medical Center. Starting in 1982\, Haxby began a two-decade tenure at the National Institutes of Health\, working as a research psychologist at the National Institute on Aging and later as chief of the Section on Functional Brain Imaging at the National Institute of Mental Health. In 2002\, Haxby began a professorship in the Department of Psychology at Princeton University\, and in 2008 became the Evans Family Distinguished Professor of Psychological and Brain Sciences at Dartmouth College. \nHaxby’s scientific contributions span several topics in cognitive neuroscience. He has published numerous papers using functional neuroimaging to investigate the cortical organization underlying visual perception and semantic memory.He has also proposed an influential model of face perception where certain brain areas process invariant face properties such identity\, while others process dynamic features critical for social interaction\, such as emotional expressions and eye gaze. Haxby has played a critical role in introducing machine learning methods to functional magnetic resonance imaging (fMRI) data analysis. This approach was popularized by a paper demonstrating that neural representations of faces and object categories are encoded in a distributed fashion in human ventral temporal cortex\, a position that is typically contrasted with more modular accounts of the functional neuroanatomy of face processing. \n[1] https://en.wikipedia.org/wiki/James_V._Haxby \nBRIDGING THE DIVIDE: FOSTERING INTERDISCIPLINARY COLLABORATIVE RESEARCH IN COMPUTATIONAL COGNITIVE NEUROSCIENCE\nComputational cognitive neuroscience is a burgeoning field. Sensitive imaging methods can now measure changing patterns of brain activity noninvasively producing massive\, rich datasets. With open neuroscience\, vast amounts of functional brain imaging data are publicly available. Advances in computational methods for analyzing these data and modeling the underlying cognitive processes have produced a host of sophisticated algorithms that produce surprising new insights\, and these algorithms are available in extensive repositories of open source code. Building the interdisciplinary community for this type of collaborative research\, however\, presents challenges. Taking advantage of these resources requires integration of knowledge of cognitive neuroscience to direct projects to important questions and knowledge of rapidly evolving computational approaches that can tackle these questions in innovative ways. Building an interdisciplinary community will involve developing both productive interdisciplinary collaborative teams and a new breed of “bilingual” computational cognitive neuroscientist. \nProf. Haxby is being hosted my MICDE and the Michigan Neuroimaging Initiative. If you would like to meet Prof. Haxby\, please send an email to micde-events@umich.edu. If you are an MICDE\, MIDAS or Neuroscience student or postdoc and would like to join him for lunch\, please RSVP here (space is limited\, first-come\, first-serve)
URL:https://micde.umich.edu/event/micde-seminar-jim-haxby-evans-family-distinguished-professor-director-center-for-cognitive-neuroscience-dartmouth-college/
LOCATION:1017 H. H. Dow\, 2300 Hayward St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190215T130000
DTEND;TZID=America/Detroit:20190215T140000
DTSTAMP:20260604T061619
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000205-1550235600-1550239200@micde.umich.edu
SUMMARY:MICDE Seminar: Rhonda Dzakpasu\, Associate Professor\, Department of Physics\, Georgetown University
DESCRIPTION:Bio: Rhonda Dzakpasu received a B.S. in Computer Science from The City College of New York. After working as a research assistant in a semiconductor laboratory\, she entered the PhD program at the University of Michigan where she completed a PhD in experimental optical physics. Her thesis work resulted in the development of an optical technique that images dynamically scattered light fluctuation decay rates.  She remained at the University of Michigan for her postdoctoral training where she performed computational modeling to study how architecture influences the dynamics within networks of coupled non-linear oscillators. As part of her postdoctoral training\, she also participated in two intensive neuroscience summer courses at the Marine Biological Laboratory (MBL) in Woods Hole\, MA: SPINES and Neurobiology. Prof. Dzakpasu joined the faculty in the Department of Physics as well as the Department of Pharmacology and Physiology at Georgetown University in 2008. Her current research incorporates experimental in vitro as well as computational techniques to probe the dynamical patterns that arise from the interactions within networks of neurons. \nWhat can we learn from neurochemical and cellular perturbations of in vitro neuronal network dynamics?\nProbing neural systems is essential to understanding the circuitry that underlies complex neuronal dynamics. Tools such as pharmacological assays are widely employed to assess differences between healthy and pathological states of a network and to elucidate biochemical mechanisms of a variety of cognitive processes. Manipulating the cellular composition of neural systems can also provide insights into the basic interactions between the constituent partners within the neural circuit.\nI will discuss results from two studies. In the first study\, we use neuromodulation to perturb the excitatory/inhibitory balance within a network of hippocampal neurons using pharmacological agents. Neuromodulation impacts oscillatory activity within cortical and hippocampal circuits and these oscillations have been shown to be important for cognitive processes such as working memory and attention. The oscillatory states are indicative of information transmission within the neural circuit and to examine changes in information transmission\, we perform extracellular recordings of action potentials from cultured hippocampal neuronal networks using an array of microelectrodes. We show a time-dependent effect on bursting dynamics after application of one of these agents and will discuss two possible mechanisms that may be involved.\nIn the second study\, I will present results from a new tissue co-culture system designed to investigate the network effects due to APOE\, the strongest genetic risk factor for Alzheimer’s disease. While the pathogenesis of Alzheimer’s is not well understood\, neural seizure-like activity has been shown to influence disease progression. Recent research suggests a link between Alzheimer’s disease and seizure-like brain activity. However\, little is known about how APOE affects activity across networks of neurons. I will discuss how APOE genotype impacts spiking dynamics of developing in vitro neuronal networks and its impact on the basic biophysical properties of the extracellular network voltage. \nProf. Dzakpasu is being hosted by Prof. Zochowski (Physics & Biophysics). If you would like to meet with her during her visit\, please send an email to micde-events@umich.edu. If you are an MICDE students\, or a Physics graduate student and would like to join Prof. Dzakpasu for lunch\, please sign up here.
URL:https://micde.umich.edu/event/micde-seminar-rhonda-dzakpasu-associate-professor-department-of-physics-georgetown-university/
LOCATION:411 West Hall (1085 S. University)\, 1085 S. University Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190208T150000
DTEND;TZID=America/Detroit:20190208T160000
DTSTAMP:20260604T061619
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000206-1549638000-1549641600@micde.umich.edu
SUMMARY:MICDE Seminar: David Nordsletten\, Associate Professor\, Department of Biomedical Engineering and Cardiac Surgery\, U-M
DESCRIPTION:Bio: Dr. Nordsletten joined the University of Michigan in January 2019 as an Associate Professor\, is a Reader in cardiovascular biomechanics at King’s College London\, and is the recipient of the EPSRC HTCA leadership fellowship. His research focuses on the novel application of biomechanics integrated with magnetic resonance imaging (MRI) for the advancement of human cardiovascular health. This broad focus encompasses a range of projects spanning from numerical methods development through to direct analysis of medical imaging data for diagnostics in cardiovascular disease. \nTRANSLATIONAL CARDIOVASCULAR BIOMECHANICS AND MAGNETIC RESONANCE IMAGING\nThe application of biomechanics in the heart and cardiovascular system has presented many opportunities to provide unique insights into physiology as well as potential tools for translation to clinical medicine. Key to this analysis is the merger with imaging and experimental tissue mechanics\, providing a core underpinning for studying the heart and cardiovascular system. In this presentation\, I will present recent work in my team exploring a variety of ways in which imaging\, biomechanics and modelling can be leveraged to better understand tissues and blood flow in health and disease.
URL:https://micde.umich.edu/event/micde-seminar-david-nordsletten-associate-professor-department-of-biomedical-engineering-and-cardiac-surgery-u-m/
LOCATION:NCRC Building 10 Research Auditorium\, 2800 Plymouth Rd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/01/David-Nordsletten.png
GEO:42.3016367;-83.7054664
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NCRC Building 10 Research Auditorium 2800 Plymouth Rd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2800 Plymouth Rd:geo:-83.7054664,42.3016367
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190207T120000
DTEND;TZID=America/Detroit:20190207T130000
DTSTAMP:20260604T061619
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000129-1549540800-1549544400@micde.umich.edu
SUMMARY:MICDE 2019 Catalyst Grants Informational Session
DESCRIPTION:MICDE seeks proposals for innovative research projects in computational science that combine elements of mathematics\, computer science\, and cyberinfrastructure. Of interest is innovative computational research in any emerging area\, including but not limited to  \n\nComputational science approaches\, algorithms\, frameworks\, etc.\nEmerging paradigms in computing (exascale computing\, quantum computing\, FPGA computing\, etc.)\nApplications in emerging areas (neuroscience\, ecology\, evolutionary biology\, human-made complex systems\, mobility etc.)\nExtensions of traditional computational sciences to complex decision making (reinforcement learning\, transfer learning\, neuromorphic computing\, etc.)\nArtificial Intelligence informing and informed by science\n\nGeneric big data problems that do not fundamentally advance computational science algorithms are not suitable for MICDE Catalyst Grants. Priority will be given to high-impact projects with potential to eventually attract external funding. MICDE expects to fund 3-4 one-year projects at up to $100\,000 each. \nIn this informational session\, MICDE officials will clarify the program’s intent\, answer questions and facilitate team formation among attendees. \nRSVP is appreciated\, but not required. Lunch will be provided. \nThe session will be broadcasted via this bluejeans link. For more information go to micde.umich.edu/catalyst/
URL:https://micde.umich.edu/event/micde-2019-catalyst-grants-info-session/
LOCATION:Weiser Hall\, Room 747\, 500 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,Info Session
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190201T110000
DTEND;TZID=America/Detroit:20190201T120000
DTSTAMP:20260604T061619
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000176-1549018800-1549022400@micde.umich.edu
SUMMARY:MICDE Seminar: Amir Ali Ahmadi\, Assistant Professor\, Operations Research and Financial Engineering\, Princeton University
DESCRIPTION:Bio: Amir Ali Ahmadi is an Assistant Professor at the Department of Operations Research and Financial Engineering at Princeton University and an Associated Faculty member of the Program in Applied and Computational Mathematics\, the Department of Computer Science\, the Department of Mechanical and Aerospace Engineering\, and the Center for Statistics and Machine Learning. Amir Ali received his PhD in EECS from MIT and was a Goldstine Fellow at the IBM Watson Research Center prior to joining Princeton. His research interests are in optimization theory\, computational aspects of dynamics and control\, and algorithms and complexity. Amir Ali’s distinctions include the Sloan Fellowship in Computer Science\, a MURI award from the AFOSR\, the NSF CAREER Award\, the AFOSR Young Investigator Award\, the DARPA Faculty Award\, the Google Faculty Award\, the Howard B. Wentz Junior Faculty Award as well as the Innovation Award of Princeton University\, the Goldstine Fellowship of IBM Research\, and the Oberwolfach Fellowship of the NSF. His undergraduate course at Princeton (ORF 363\, “Computing and Optimization’’) has received the 2017 Excellence in Teaching of Operations Research Award of the Institute for Industrial and Systems Engineers and the 2017 Phi Beta Kappa Award for Excellence in Undergraduate Teaching at Princeton University. Amir Ali is also the recipient of a number of best-paper awards\, including the INFORMS Optimization Society’s Young Researchers Prize\, the INFORMS Computing Society Prize (for best series of papers at the interface of operations research and computer science)\, the Best Conference Paper Award of the IEEE International Conference on Robotics and Automation\, and the prize for one of two most outstanding papers published in the SIAM Journal on Control and Optimization in 2013-2015. \nPOLYNOMIAL OPTIMIZATION AND DYNAMICAL SYSTEMS\nIn recent years\, there has been a surge of exciting research activity at the interface of optimization (in particular polynomial\, semidefinite\, and sum of squares optimization) and the theory of dynamical systems. In this talk\, we focus on two of our current research directions that are at this interface. In part (i)\, we propose more scalable alternatives to sum of squares optimization and show how they impact verification problems in control and robotics\, as well as some classic questions in polynomial optimization and statistics. Our new algorithms do not rely on semidefinite programming\, but instead use linear programming\, or second-order cone programming\, or are altogether free of optimization. In particular\, we present the first Positivstellensatz that certifies infeasibility of a set of polynomial inequalities simply by multiplying certain fixed polynomials together and checking nonnegativity of the coefficients of the resulting product.\nIn part (ii)\, we introduce a new class of optimization problems whose constraints are imposed by trajectories of a dynamical system. As a concrete example\, we consider the problem of optimizing a linear function over the set of initial conditions that forever remain inside a given polyhedron under the action of a linear\, or a switched linear\, dynamical system. We present a hierarchy of linear and semidefinite programs that respectively lower and upper bound the optimal value of such problems to arbitrary accuracy. \nThis seminar is co-sponsored by the department of Industrial and Operations Engineering. Prof. Ahmadi is being hosted by Prof. Shen (IOE). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-amir-ali-ahmadi-assistant-professor-operations-research-and-financial-engineering-princeton-university/
LOCATION:2717 IOE\, 1205 BEAL AVE\, ANN ARBOR\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190118T150000
DTEND;TZID=America/Detroit:20190118T160000
DTSTAMP:20260604T061619
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000155-1547823600-1547827200@micde.umich.edu
SUMMARY:MICDE Seminar: Mattia Gazzola\, Department of Mechanical Science and Engineering\, University of Illinois at Urbana-Champaign
DESCRIPTION:Bio: Mattia Gazzola is an Assistant Professor in the department of Mechanical and Science Engineering at the University of Illinois\, Urbana-Champaign. Originally from Galliate\, Italy\, he obtained his B. Sc. in Energy Engineering and M. Sc. in Nuclear Engineering from the Politecnico di Milano. He then was granted a PhD. in Mechanical Engineering from ETH Zurich where he worked with Prof. Petros Koumoutsakos specializing in simulation\, optimization and learning of artificial swimmers. His research interests include locomotion in fluids\, where he combines theory\, numerical simulations and AI to advance our understanding of the physical mechanisms involved. He is also interested in creating artificial animals – or cyborgs – to link neuro-dynamics\, mechanics and complex controllable gaits-coupling sensory information to motor coordination and movement that leads to behavior. His research group develops numerical algorithms that allow the integration of AI with large scale simulations. \nMODELING\, SIMULATION AND CONTROL OF COMPLEX MUSCULOSKELETAL ARCHITECTURES\nWe introduce a modeling approach based on assemblies of Cosserat rods for the simulation and characterization of arbitrary muscoloskeletal architectures. The obtained solver is coupled to evolutionary optimization techniques for the rational design of soft artificial creatures characterized by different scales and operating across environments. A control approach for these distributed mechanical systems is outlined and demonstrated in simple settings. Applications range from slithering\, swimming and flying biolocomotion strategies to bio-hybrid systems. \nThis is a joint seminar with the Applied and Interdisciplinary Mathematics seminar series. Prof. Gazzola is being hosted by Prof. Alben (Mathematics). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu.
URL:https://micde.umich.edu/event/micde-seminar-mattia-gazzola-department-of-mechanical-science-and-engineering-uicuc/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190111T150000
DTEND;TZID=America/Detroit:20190111T160000
DTSTAMP:20260604T061619
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SUMMARY:MICDE Seminar: Yuri Bazilevs\, School of Engineering\, Brown University
DESCRIPTION:Bio: Yuri Bazilevs is the E. Paul Sorensen Chair in the School of Engineering at Brown University. He was previously a Professor and Vice Chair in the Structural Engineering Department at the University of California\, San Diego. Yuri is the original developer of Isogeometric Analysis (IGA)\, a new computational methodology that aims to integrate engineering design (CAD) and simulation (FEM). For his research contributions Yuri received a number of awards and honors\, including the 2018 ASCE Walter L. Huber Research Prize. He is included in the 2014-2018 lists of Highly Cited Researchers\, both in the Engineering and Computer Science categories. \nISOGEOMETRIC METHODS FOR SOLIDS\, STRUCTURES\, AND FLUID-STRUCTURE INTERACTION: FROM EARLY RESULTS TO RECENT DEVELOPMENTS\nThis presentation is focused on Isogeometric Analysis (IGA) with applications to solids and structures\, starting with early developments and results\, and transitioning to more recent work. Novel IGA-based thin-shell formulations are discussed\, and applications to progressive damage modeling in composite laminates due to low-velocity impact and their residual-strength prediction are shown. Fluid–structure interaction (FSI) employing IGA is also discussed\, and a novel framework for air-blast-structure interaction (ABSI) based on an immersed approach coupling IGA and RKPM-based Meshfree methods is presented and verified on a set of challenging examples. The presentation is infused with examples that highlight effective uses of IGA in advanced engineering applications. \nProf. Bazilevs is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet him during his visit please send an email to micde-events@umich.edu. If you are an MICDE or ME student and would like to join Prof. Bazilevs for lunch please RVSP here by Wednesday\, January 9.
URL:https://micde.umich.edu/event/micde-seminar-yuri-bazilev-school-of-engineering-brown-university/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181212T160000
DTEND;TZID=America/Detroit:20181212T170000
DTSTAMP:20260604T061619
CREATED:20230905T171422Z
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SUMMARY:MICDE Seminar: Aaron Frank\, Chemistry and Biophysics\, University of Michigan
DESCRIPTION:Bio: Aaron Frank is originally from Grenada\, a small island in the Caribbean. After moving to the US in 2001\, Aaron received his BA in chemistry from Brooklyn College in 2006\, where he carried out research in the groups of Professors Charlene Forest\, Shaneen Singh\, and Alexander Greer. He then moved to Michigan to attend graduate school at the University of Michigan and then\, with his Ph.D advisor Professor Ioan Andricioaei\, moved to UC Irvine in 2008. Aaron received his Ph.D in chemistry in 2011. Following a 2 year stint at Nymirum Inc. — a small biotech company in Ann Arbor founded by a close collaborator\, Professor Hashimi Al-Hashimi — he returned to the University of Michigan as a Presidential Postdoctoral Fellow where he was mentored by Professor Charles L. Brooks\, III. Aaron is now an Assistant Professor at the University of Michigan in the Chemistry Department and the Biophysics Department. \nDATA SCIENCE AT THE INTERFACE OF BIOLOGY\, CHEMISTRY\, AND PHYSICS\nIn this talk\, I will describe examples of how my research group uses data science tools to tackle research problems that fall at the interface between Biology\, Chemistry\, and Physics. First\, I will describe ongoing research focused on mapping the structure-landscape of functional ribonucleic acids (or RNAs). In this project\, we combined machine learning and secondary structure modeling tools to predict the structure of RNAs conditioned on available NMR chemical shift data. This method now enables us to model individual conformational states\, including previously invisible states of an RNA\, based on its sequence and available chemical shift data. Second\, I will describe ongoing research centered around decoding structure-kinetic relationships (SKRs) in sparse datasets. There is now immense interest in developing drugs that exhibit elevated residence times on their target. In this project\, we used machine learning to encapsulate SKRs for CDK2\, a prominent cancer target\, from a dataset containing only fourteen (14) samples. I will describe our efforts to build and test CDK2-specific SKR models that take as input\, the atomic structure of receptor-ligand complexes and output estimates of their residence times. Additionally\, I will describe proof-of-concept studies that demonstrate the utility of our CDK2-specific SKR models as tools to help efficiently explore chemical space in search of novel chemical scaffolds that are enriched with high-residence time and potent inhibitors of CDK2.
URL:https://micde.umich.edu/event/micde-seminar-aaron-frank-chemistry-and-biophysics-university-of-michigan/
LOCATION:1210 Chemistry & Willard H Dow Laboratory\, 930 University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181203T160000
DTEND;TZID=America/Detroit:20181203T170000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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SUMMARY:MICDE Seminar: Youssef Marzouk\, Department of Aeronautics and Astronautics\, MIT
DESCRIPTION:Bio: Youssef Marzouk is an associate professor in the Department of Aeronautics and Astronautics at MIT\, and co-director of the MIT Center for Computational Engineering. He is also director of MIT’s Aerospace Computational Design Laboratory. \nHis research interests lie at the intersection of physical modeling with statistical inference and computation. In particular\, he develops methodologies for uncertainty quantification\, inverse problems\, large-scale Bayesian computation\, and optimal experimental design in complex physical systems. His methodological work is motivated by a wide variety of engineering\, environmental\, and geophysics applications. \nHe received his SB\, SM\, and PhD degrees from MIT and spent several years at Sandia National Laboratories before joining the MIT faculty in 2009. He is a recipient of the Hertz Foundation Doctoral Thesis Prize (2004)\, the Sandia Laboratories Truman Fellowship (2004-2007)\, the US Department of Energy Early Career Research Award (2010)\, and the Junior Bose Award for Teaching Excellence from the MIT School of Engineering (2012). He is an Associate Fellow of the AIAA and currently serves on the editorial boards of the SIAM Journal on Scientific Computing\, Advances in Computational Mathematics\, and the SIAM/ASA Journal on Uncertainty Quantification. He is also an avid coffee drinker and classical pianist. \nA TOUR OF TRANSPORT METHODS FOR BAYESIAN COMPUTATION\nBayesian inference provides a natural framework for quantifying uncertainty in parameter estimates and model predictions\, and for combining heterogeneous sources of information. Characterizing the results of Bayesian inference—by simulating from the posterior distribution—often proceeds via Markov chain Monte Carlo or sequential Monte Carlo sampling\, but remains computationally challenging for complex posteriors and large-scale models. \nThis talk will describe a broad framework for using measure transport in Bayesian computation. This framework seeks deterministic couplings of the posterior measure with a tractable “reference” measure (e.g.\, a standard Gaussian). Such couplings are induced by transport maps\, and enable direct simulation from the desired measure simply by evaluating the transport map at samples from the reference. Approximate transports can also be used to “precondition” and accelerate standard Monte Carlo schemes. Within this framework\, one can describe many useful notions of low-dimensional structure associated with inference: for instance\, sparse or decomposable transports underpin modeling and computation with non-Gaussian Markov random fields\, and low-rank transports arise frequently in inverse problems. \nWe will then describe recent work specializing transport maps to the problem of nonlinear filtering in high-dimensional state-space models. The idea is to transform a forecast ensemble into samples from the current filtering distribution via a sequence of nonlinear transport maps\, computed via convex optimization. Construction of the maps is regularized by leveraging potential structure in the filtering problem—e.g.\, decay of correlations\, approximate conditional independence\, and local likelihoods—thus extending notions of localization to nonlinear updates. The proposed framework can be understood as a non-Gaussian generalization of the ensemble Kalman filter. \nThis is joint work with Alessio Spantini\, Daniele Bigoni\, Ricardo Baptista\, and Matthew Parno. \nProf. Marzouk is being hosted by Prof. Duraisamy (Aerospace). If you would like to meet him during his visit please send an email to micde-events@umich.edu. If you are an MICDE student and would like to join Prof. Marzouk for lunch please RVSP here by Friday\, November 30.
URL:https://micde.umich.edu/event/micde-seminar-youssef-marzouk-department-of-aeronautics-and-astronautics-mit/
LOCATION:107 Gorguze Family Laboratory\, 2609 Draper Dr\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181126T150000
DTEND;TZID=America/Detroit:20181126T160000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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SUMMARY:CANCELLED --MICDE Seminar: Ali Yilmaz\, Electrical Engineering\, University of Texas at Austin
DESCRIPTION:CANCELLED\nBio: Ali Yilmaz is an Associate Professor of Electrical and Computer Engineering and a core faculty member at the Institute for Computational Engineering and Sciences at the University of Texas at Austin. \nDr. Yilmaz received the Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2005. He spent 2005 to 2006 as a post-doctoral research associate with the Center for Computational Electromagnetics at the University of Illinois; in 2006\, he joined the faculty of The University of Texas at Austin. \nHis research interests include computational electromagnetics (particularly fast frequency- and time-domain integral equation solvers)\, parallel algorithms\, antenna and scattering analysis\, bioelectromagnetics\, geoelectromagnetics\, and electronic packages. He has authored or co-authored over 170 papers in refereed journals and international conferences on these topics. \nUSING (SUPER) COMPUTERS JUDICIOUSLY FOR HIGHER FIDELITY ELECTROMAGNETIC ANALYSIS\nIncreasing the fidelity of the electromagnetic models generally increases the predictive power of the analyses based on the models. It also generally increases the results’ sensitivity to model features/parameters as well as the difficulty of constructing the models\, accurately solving the governing equations\, and interpreting the resulting data. Therefore\, one should base the analysis on the lowest-fidelity model one can get away with or\, equivalently\, the highest-fidelity model one can afford. The sweet spot for the tradeoff\, “the appropriate model”\, has changed over time in part because past successes in simulation-based science and engineering have increased expectations/requirements from electromagnetic analysis and in part because tremendous improvements in computing infrastructure and advances in computational methods have increased the affordability of complex analysis. Finding the appropriate model requires understanding both the benefits and the costs of analysis when a lower- or higher-fidelity model is used; neither side of the ledger\, however\, is known beforehand (unless one is repeating previously established analyses). A possible approach to revealing these unknowns is to construct models by gradually increasing their fidelity\, performing analysis at each fidelity level\, and comparing the analysis results and costs to those from the previous steps. I will show examples of this “analysis-driven modeling” in bioelectromagnetics (using the AustinMan and AustinWoman human body models) and signal integrity (using an electronic package example) by employing parallel algorithms and advanced integral-equation solvers on leading-edge supercomputers. \nThe examples will highlight many of the challenges arising from this approach to modeling. An important one is that “the appropriate method” of analysis generally depends on the model\, e.g.\, a method can outperform alternatives for low-fidelity models but underperform them for high-fidelity ones; indeed\, inappropriate (but convenient) methods can not only inflate the cost side of the ledger but also deflate the benefit side\, leading to misjudgment of the appropriate model fidelity. Thus\, not surprisingly\, the development of appropriate electromagnetic models and appropriate computational methods are tightly linked (aka “if all you have is a hammer\, everything looks like a nail”). Unfortunately\, evaluating computational methods to find the appropriate one for a given model is surprisingly difficult\, even for unbiased experts\, as method performances depend not just on the models but also on the computers\, the software realizations of the methods\, and the users/developers of the software. On the one hand\, theoretical comparisons (e.g.\, of asymptotic complexities\, error convergence rates\, parallel scalability limits) are often incapable of factoring in the large impact of software and hardware infrastructure on the realized/observed performance of a computational method—a problem that has worsened as the traditional Dennard scaling of clock frequencies ended in the last decade. On the other hand\, empirical comparisons are beset by the same problems that physical measurements face (including irreproducible and uncertain results)\, require many (potentially low-efficiency) computations\, and suffer from the large number of alternative methods. I will discuss whether benchmark suites can improve the judicious use of computational methods for electromagnetic analysis and what the necessary ingredients for such benchmarks are. \nProf. Yilmaz is being hosted by Prof. Michielssen (EECS). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu. If you are an MICDE student and would like to join Prof. Yilmaz for lunch\, please fill out this form.
URL:https://micde.umich.edu/event/micde-seminar-ali-yilmaz-electrical-engineering-university-of-texas-at-austin/
LOCATION:1311 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181109T130000
DTEND;TZID=America/Detroit:20181109T140000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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SUMMARY:SC2 Alumni Seminar Series: Eric Harper\, NRC Research Associate\, AFRL
DESCRIPTION:Bio: Dr. Eric Harper is a Postdoctoral Fellow at the Air Force Research Laboratories (AFRL) at Wright-Patterson Air Force Base (WPAFB) in Dayton\, Ohio as part of the Air Force Science and Technology Fellowship Program (STFP). He is a member of the Optical Theory Group (OTG)\, simulating optical metamaterials to optimize their design using scientific computing techniques. He earned his B.S. in Chemical Engineering at the University of Dayton (2011) and his M.S. (2014) and Ph.D. at the University of Michigan (2017). \nMachine Accelerated Nano-targeted Inhomogenous Structures\nThe ability for nanoscale materials to control the propagation of light is well-known\, both in biological systems and synthetic applications. However\, the possible “solution-space” to search for nanoscale designs is near-infinite\, requiring advanced computational techniques to optimize structures for targeted device performance. Here we consider a subset of the infinite design space\, a simple bilayer structure of nanocylinders\, to demonstrate the capabilities of machine learning to accelerate the design process. We compare the performance of human-driven optimization to a genetic algorithm based optimization routine. We also consider potential machine-learning tools to further accelerate the design of these structures. \nThe SC2 is holding a Meet the Speaker lunch at noon. If you would like to attend\, please RSVP here.
URL:https://micde.umich.edu/event/sc2-alumni-seminar-series-eric-harper-nrc-research-associate-afrl/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,SC2,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181024T160000
DTEND;TZID=America/Detroit:20181024T170000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
UID:10000150-1540396800-1540400400@micde.umich.edu
SUMMARY:MICDE/IOE Seminar: Juan Pablo Vielma\, Sloan School of Management\, MIT
DESCRIPTION:Bio: Juan Pablo Vielma is the Richard S. Leghorn (1939) Career Development Associate Professor at MIT Sloan School of Management and is affiliated to MIT’s Operations Research Center. Dr. Vielma has a B.S. in Mathematical Engineering from University of Chile and a Ph.D. in Industrial Engineering from the Georgia Institute of Technology. His current research interests include the theory and practice of mixed-integer mathematical optimization and applications in natural resource management\, marketing and statistics. In January of 2017 he was named by President Obama as one of the recipients of the Presidential Early Career Award for Scientists and Engineers (PECASE). Some of his other recognitions include the NSF CAREER Award\, the INFORMS Computing Society Prize and a first prize in the INFORMS Junior Faculty Interest Group Paper Competition. He served as vice-chair of Integer and Discrete Optimization for the INFORMS Optimization Society and as chair of the INFORMS Section on Energy\, Natural Resources\, and the Environment. He is currently an associate editor for Operations Research and Operations Research Letters\, a member of the NumFocus steering committee for JuMP\, and the Faculty Director for the MIT-Chile program of MIT’s International Science and Technology Initiatives (MISTI). \nModeling power of mixed integer convex optimization problems and their effective solution with Julia and JuMP\nMore than 50 years of development have made mixed integer linear programming (MILP) an extremely successful tool. MILP’s modeling flexibility allows it describe a wide range of business\, engineering and scientific problems\, and\, while MILP is NP-hard\, many of these problems are routinely solved in practice thanks to state-of-the-art solvers that nearly double their machine-independent speeds every year. Inspired by this success\, the last decade has seen a surge of activity on the solution and application of mixed integer convex programming (MICP)\, which extends MILP’s versatility by allowing the use of convex constraints in addition to linear inequalities. In this talk we cover various recent developments concerning theory\, algorithms and computation for MICP. Solvers for MICP can be significantly more effective than those for more general non-convex optimization\, so one of the questions we cover in this talk is what classes of non-convex constraints can be modeled through MICP. We also cover the solution of MICP problems through polyhedral approximation algorithms that exploit the power of extended formulations. Finally\, we cover various topics concerning the modeling and computational solution of MICP problems using the Julia programming language and the JuMP modeling language for optimization. In Particular\, we show how mixed integer optimal control problems where the variables are polynomials can be easily modeled and solved by seamlessly combining several Julia packages and JuMP extensions with the Julia-written MICP solver Pajarito. \nThis seminar is co-sponsored by the department of Industrial and Operations Engineering. Prof. Vielma is being hosted by Prof. Shen (IOE). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-juan-pablo-vielma-operations-research-mit/
LOCATION:1680 IOE\, 1205 BEAL AVE\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181022T120000
DTEND;TZID=America/Detroit:20181022T130000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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SUMMARY:MICDE/Quantitative Biology Seminar: Padmini Rangamani\, Mechanical and Aerospace Engineering\, UC San Diego
DESCRIPTION:Bio: Padmini Rangamani is an associate professor in Mechanical Engineering at the University of California\, San Diego. She joined the department in July 2014. Earlier\, she was a UC Berkeley Chancellor’s Postdoctoral Fellow\, where she worked on lipid bilayer mechanics. She obtained her Ph.D. in biological sciences from the Icahn School of Medicine at Mount Sinai. She received her B.S. and M.S. in Chemical Engineering from Osmania University (Hyderabad\, India) and Georgia Institute of Technology respectively. She is the recipient of the ARO\, AFOSR\, and ONR Young Investigator Awards\, and a Sloan Research Fellowship for Computational and Molecular Evolutionary Biology. She is also the lead PI for a MURI award on Bioinspired low energy information processing from the AFOSR. \nGEOMETRIC PRINCIPLES OF SPATIO-TEMPORAL DYNAMICS OF SECOND MESSENGERS IN DENDRITIC SPINES\nThe ability of the brain to encode and store information depends on the plastic nature of the individual synapses. The increase and decrease in synaptic strength\, mediated through the structural plasticity of the spine\, are important for learning\, memory\, and cognitive function. Dendritic spines are small structures that contain the synapse. They come in a variety of shapes (stubby\, thin\, or mushroom-shaped) and a wide range of sizes that protrude from the dendrite. These spines are the regions where the postsynaptic biochemical machinery responds to the neurotransmitters. Spines are dynamic structures\, changing in size\, shape\, and number during development and aging. While spines and synapses have inspired neuromorphic engineering\, the biophysical events underlying synaptic and structural plasticity remain poorly understood. \nOur current focus is on understanding the biophysical events underlying structural plasticity. I will discuss two recent efforts from my group — first\, a systems biology approach to construct a mathematical model of biochemical signaling and actin-mediated transient spine expansion in response to calcium influx caused by NMDA receptor activation and second\, a series of spatial models to study the role of spine geometry and organelle location within the spine for calcium and cyclic AMP signaling. I will conclude with some new efforts in using reconstructions from electron microscopy to inform computational domains. I will conclude with how geometry and mechanics plays an important role in our understanding of fundamental biological phenomena and some general ideas on bio-inspired engineering. \nProf. Rangamani is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with her please send an email to micde-events@umich.edu. If you are an MICDE student and would like to join Prof. Rangamani for lunch please fill out this form
URL:https://micde.umich.edu/event/micde-quantitative-biology-seminar-padmini-rangamani-mechanical-and-aerospace-engineering-uc-san-diego/
LOCATION:335 West Hall\, 1085 S University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181016T083000
DTEND;TZID=America/Detroit:20181016T123000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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SUMMARY:CNSECCS 2018 Symposium
DESCRIPTION:The Center for Network and Storage Enabled Collaborative Computation is hosting its second Symposium on October 15 and 16\, 2018\, exploring the themes the Center was founded on. The Center seeks to address the challenges of extracting scientific results collaboratively from large\, distributed or diverse data. \nFor more information please visit https://indico.cern.ch/event/692449/registrations/39788/ \n\n\n\nConfirmed speakers:\n\n\nStefan Robila\, Program Director\, Office of Advanced Cyberinfrastructure\, Research Core Program\, National Science Foundation\nSaul Youssef\, Research Associate Professor\, Boston University Department of Physics\nIlkay Altintas\, Director\, Center of Excellence in Workflows for Data Science\, San Diego Supercomputer Center\, University of California\, San Diego\nAllison Steiner\, Professor\, Department of Climate and Space Science and Engineering\, University of Michigan\nChris Miller\, Associate Professor\, Astronomy and Physics\, University of Michigan\nJesse Capecelatro\, Assistant Professor\, Mechanical Engineering\, University of Michigan\nAlberto Figueroa\, Professor\, Biomedical Engineering\, University of Michigan\nIvo Dinov\, Professor\, Computational Medicine and Bioinformatics\, School of Nursing; Associate Director\, Education and Training of the Michigan Institute for Data Science (MIDAS)\, University of Michigan\nShawn McKee\, Research Scientist\, Department of Physics\, U-M; Director\, Center for Network and Storage Enabled Collaborative Computational Science (CNSECCS)\n\n\n\n—\n\nMonday\, October 15\, 2018 @ 8:30 a.m. – 5:00 p.m.\nTuesday\, October 16\, 2018 @ 8:30 a.m. – 12:30 p.m.
URL:https://micde.umich.edu/event/cnseccs-2018-symposium/2018-10-16/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference,Featured Events
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GEO:42.2807324;-83.7400253
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181015T083000
DTEND;TZID=America/Detroit:20181015T170000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
UID:10000164-1539592200-1539622800@micde.umich.edu
SUMMARY:CNSECCS 2018 Symposium
DESCRIPTION:The Center for Network and Storage Enabled Collaborative Computation is hosting its second Symposium on October 15 and 16\, 2018\, exploring the themes the Center was founded on. The Center seeks to address the challenges of extracting scientific results collaboratively from large\, distributed or diverse data. \nFor more information please visit https://indico.cern.ch/event/692449/registrations/39788/ \n\n\n\nConfirmed speakers:\n\n\nStefan Robila\, Program Director\, Office of Advanced Cyberinfrastructure\, Research Core Program\, National Science Foundation\nSaul Youssef\, Research Associate Professor\, Boston University Department of Physics\nIlkay Altintas\, Director\, Center of Excellence in Workflows for Data Science\, San Diego Supercomputer Center\, University of California\, San Diego\nAllison Steiner\, Professor\, Department of Climate and Space Science and Engineering\, University of Michigan\nChris Miller\, Associate Professor\, Astronomy and Physics\, University of Michigan\nJesse Capecelatro\, Assistant Professor\, Mechanical Engineering\, University of Michigan\nAlberto Figueroa\, Professor\, Biomedical Engineering\, University of Michigan\nIvo Dinov\, Professor\, Computational Medicine and Bioinformatics\, School of Nursing; Associate Director\, Education and Training of the Michigan Institute for Data Science (MIDAS)\, University of Michigan\nShawn McKee\, Research Scientist\, Department of Physics\, U-M; Director\, Center for Network and Storage Enabled Collaborative Computational Science (CNSECCS)\n\n\n\n—\n\nMonday\, October 15\, 2018 @ 8:30 a.m. – 5:00 p.m.\nTuesday\, October 16\, 2018 @ 8:30 a.m. – 12:30 p.m.
URL:https://micde.umich.edu/event/cnseccs-2018-symposium-2/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference,Featured Events
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181009T160000
DTEND;TZID=America/Detroit:20181009T170000
DTSTAMP:20260604T061619
CREATED:20230905T171421Z
LAST-MODIFIED:20230905T171421Z
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SUMMARY:MICDE Seminar: Nandini Ananth\, Department of Chemistry and Chemical Biology\, Cornell University
DESCRIPTION:Bio: Nandini Ananth is an associate professor in the department of Chemistry and Chemical Biology at Cornell University. She received her bachelor’s degree in Chemistry from Stella Maris College in Chennai\, India\, and a Masters in chemistry from the Indian Institute of Technology Madras.  Nandini moved to the United States in the fall of 2003 to pursue doctoral research at the University of California\, Berkeley in William Miller’s group\, working on developing semiclassical methods to model quantum dynamical behavior in complex chemical reactions. Upon graduation\, she accepted a position as postdoctoral scholar in Thomas Miller’s group at the California Institute of Technology\, Pasadena\, where her research focused on developing path-integral methods for the simulation of electronically nonadiabatic processes in the condensed phase. She joined the faculty of the department of Chemistry and Chemical Biology at Cornell University in the Fall of 2012\, and during her time here has received the Cottrell Scholar Award\, NSF CAREER Award\, NSF EAGER Award\, Sloan Research Fellowship\, and Army Research Office’s Young Investigator Award. \nCharge Transfer Dynamics\, Excited State Energetics\, and Organic Photovoltaics\nDesigning molecular materials for use as organic photovoltaics\, molecular electronics\, and photocatalysts is a multifaceted challenge requiring a detailed understanding of both the excited state energetics and the dynamics of charge and energy transfer. We address the dynamic challenge by developing new methods based on the path integral formulation of quantum mechanics that are uniquely suited to the simulation of photo-initiated excited state dynamics in the condensed phase. We then tackle the characterization of the excited state manifold in molecular systems using a combination of high-level electronic structure methods to accurately calculate excited state energies\, normal mode analysis to quantify vibronic couplings\, and novel orbital analyses to uncover structure-spectrum correlations.\nIn this talk\, we focus on one target application: designing chromophores that exhibit ultrafast Singlet Fission (SF)\, a phenomenon that has the potential to significantly increase organic solar cell efficiency. We investigate SF in non-bonded and covalently bonded pentacene dimers: we uncover two distinct mechanistic pathways for ultrafast SF and we identify molecular geometries and bonding motifs that can be modified to enhance efficiency in each case. Finally\, we combine the insights obtained from our theoretical investigations to generate a priori design principles for next-generation SF chromophores\, and working with experimental collaborators\, we verify them. \nProf. Ananth is being hosted by Prof. Geva (Chemistry). If you would like to meet her during her visit please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-nandini-ananth-department-of-chemistry-and-chemical-biology-cornell/
LOCATION:CHEM 1300\, 930 N University Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181005T150000
DTEND;TZID=America/Detroit:20181005T160000
DTSTAMP:20260604T061619
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000152-1538751600-1538755200@micde.umich.edu
SUMMARY:MICDE Seminar: Pavel Bochev\, Center for Computing Research\, Sandia National Laboratories
DESCRIPTION:Bio: Pavel Bochev is a Distinguished Member of the Technical Staff at Sandia National Laboratories in Albuquerque where he works in the Center for Computing Research. He joined Sandia in 2000 after six years of teaching and research at the University of Texas at Arlington. \n\nPavel’s research interests include compatible discretizations for partial differential equations\, optimization and control problems\, and the development of new\, property preserving heterogeneous numerical methods for complex applications relevant to the mission of the US Department of Energy and the National Nuclear Security Administration.\n\nPavel’s thesis was awarded the SIAM Student paper prize in 1994. In 2012 he was elected a Fellow of the Society for Industrial and Applied Mathematics. Pavel is a recipient of 2014 US Department of Energy’s E. O. Lawrence Medal in the category of “Computer\, information and knowledge sciences”. This award honors U.S. scientists and engineers\, at mid-career\, for exceptional contributions in research and development supporting the Department of Energy and its mission to advance the national\, economic and energy security of the United States. In 2017 Pavel was awarded the Thomas J.R. Hughes Medal by the U.S. Association for Computational Mechanics for his contributions to the field of numerical partial differential equations.\n\nPavel has authored and co-authored over 100 research papers\, two books and several book chapters\, and has given numerous plenary and invited lectures in the US and abroad. He served two terms as Editor-in-Chief of the SIAM Journal on Numerical Analysis and is currently member of the editorial board of SINUM. \nCompatible Mesh-Free Methods\nParticle and mesh-free methods offer significant computational advantages in settings where quality mesh generation required for many compatible PDE discretizations may be expensive or even intractable. At the same time\, the lack of underlying geometric grid structure makes it more difficult to construct mesh-free methods mirroring the discrete vector calculus properties of mesh-based compatible and mimetic discretization methods. In this talk we survey ongoing efforts at Sandia National Laboratories to develop new classes of locally and globally compatible meshfree methods that attempt to recover some of the key properties of mimetic discretization methods. \nWe will present two examples of recently developed “mimetic”-like meshfree methods. The first one is motivated by classical staggered discretization methods. We use the local connectivity graph of a discretization particle to define locally compatible discrete operators. In particular\, the edge-to-vertex connectivity matrix of the local graph provides a topological gradient\, whereas a generalized moving least-squares (GMLS) reconstruction from the edge midpoints defines a divergence operator. The second method can be viewed as a meshfree analogue of a finite volume type scheme. In this method\, the metric information that would be normally provided by the mesh\, such as cell volumes and face areas\, is reconstructed algebraically\, without a mesh. This reconstruction process effectively creates virtual cells having virtual faces and ensures a local conservation property matching that of mesh-based finite volumes. In contrast to similar recent efforts our approach does not involve a solution of a global optimization problem to find the virtual cell volumes and faces areas. Instead\, we determine the necessary metric information by solving a graph Laplacian problem that can be effectively preconditioned by algebraic multigrid. \nSeveral numerical examples will illustrate the mimetic properties of the new meshfree schemes. The talk will also review some of the ongoing work to build a modern software toolkit for mesh-free and particle discretizations that leverages Sandia’s Trillinos library and performance tools such as Kokkos. \nThis is a joint seminar with the Applied and Interdisciplinary Mathematics program. Dr. Bochev is being hosted by Prof. Robert Krasny (Mathematics). If you would like to meet with him\, please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-pavel-bochev-center-for-computing-research-sandia-national-laboratories/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181001T160000
DTEND;TZID=America/Detroit:20181001T170000
DTSTAMP:20260604T061619
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000156-1538409600-1538413200@micde.umich.edu
SUMMARY:MICDE Seminar: Sanjay Padhi\, AWS Research and Technical Computing
DESCRIPTION:Bio: Dr. Sanjay Padhi\, leads the AWS Research Initiatives including AWS’s federal initiatives with the National Science Foundation. He is a physicist and Adjunct Professor at Brown University. Dr. Padhi has more than 15 years of experience in large-scale distributed computing\, Data Analytics and Machine Learning. He is the co-creator of the Workload Management System currently used for all the data processing and simulations by CMS\, one of the largest experiments in the world at CERN\, consisting of more than 180 institutions across 40 countries. He also co-founded the ZEUS Computing Grid project at Deutsches Elektronen-Synchrotron (DESY)\, Germany before joining CERN. Sanjay obtained his Ph.D from McGill University in High Energy Physics\, co-author of more than 900 publications and is also currently appointed by the Dean of Faculty as an Adjunct Professor of Physics at Brown University. \nPredictive Analytics using Amazon Web Services\nOne of the most explored features of Big Data is predictive analytics. Predictive analytics is a set of techniques that are fundamental to large organizations like Amazon. Methods such as Machine Learning are used in many aspects of life\, including health care\, education\, financial modeling\, and marketing. Analytics on Big Data has given rise to various “smart” projects\, such as Connected Intersections\, Smart Cities\, and Smart Health. This talk will provide a range of such studies using predictive analytics including detailed overview of methods such as Machine Learning (ML) and Deep Learning using AWS. Fully managed Artificial Intelligence (AI) services to help researchers build\, train and deploy ML models in various domains including Computer Vision and Natural Language Processing (NLP) will also be outlined. Supervised and unsupervised based learning frameworks and its implications in the fields of Scientific Computing\, Medical Imaging\, Cancer detection\, Diabetic Retinopathy\, and Voice-enabled solutions to improve management of chronic disease will be discussed. The AWS Research Initiative with funding agencies such as the National Science Foundation (NSF) in the domains related to the foundation and innovative tracks\, as well as AWS Research Credit program will also be outlined. \nIf you would like to meet Dr. Sanjay Padhi on October 1\, please send a request to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-sanjay-padhi-aws-research-and-technical-computing/
LOCATION:1670 Bob and Betty Beyster Building\, 2260 Hayward Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2930138;-83.716372
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180913T160000
DTEND;TZID=America/Detroit:20180913T170000
DTSTAMP:20260604T061619
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
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SUMMARY:MICDE/EEB Seminar: Murat Eren\, Department of Medicine\, University of Chicago
DESCRIPTION:Bio:  Dr. Murat Eren is an Assistant Professor in the department of Medicine and affiliated with the Marine Biological Laboratory at the University of Chicago. He received his B.S. from Canakkale Onsekiz Mart University in Turkey in 2002\, and his PhD from the University of New Orleans in 2001\, both in computer science. His research focuses on the diversity and functioning of microbial communities in environments ranging from the human gastrointestinal tract and oral cavity\, to sewages\, oceans\, and soils. He designs algorithms and experiments to better understand microbes and their ecology. He pursues interesting ecological and evolutionary questions\, with some particularly interesting insights from molecular data into what constitutes a population in the microbial world. \nInsights into ecology and evolution of microbial populations through single-amino acid variants\nNeither the mechanisms by which genomic heterogeneity emerges within naturally occurring microbial populations\, nor how it drives the partitioning of ecological niches are well understood. Yet the increasing number of environmental metagenomes with astonishing depth of sequencing offer new opportunities to investigate evolutionary processes acting upon them\, and link genomic variation to predicted tertiary structures of genes to gain biochemical insights. \nMICDE is co-sponsoring this seminar with the department of Ecology and Evolutionary Biology. If you would like to meet Dr. Murat during his visit please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-eeb-seminar-murat-eren-department-of-medicine-university-of-chicago/
CATEGORIES:Featured Events,MICDE Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180604T110000
DTEND;TZID=America/Detroit:20180607T170000
DTSTAMP:20260604T061619
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000145-1528110000-1528390800@micde.umich.edu
SUMMARY:XSEDE HPC Summer Bootcamp
DESCRIPTION:ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. \nThis 4 day event will include MPI\, OpenMP\, OpenACC and accelerators. \nOfficial registration is done through the XSEDE portal. Please follow this link to read about the workshop (including the full agenda) and to register https://portal.xsede.org/course-calendar/-/training-user/class/611/session/1609 \nNote: you will need to create and XSEDE account if you don’t have one already \n 
URL:https://micde.umich.edu/event/xsede-hpc-summer-bootcamp/
LOCATION:NCRC B16 B003E\, 2800 Plymouth Rd.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,SC2,Workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180416T160000
DTEND;TZID=America/Detroit:20180416T170000
DTSTAMP:20260604T061619
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
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SUMMARY:MICDE Seminar: Vladimir Druskin\, Scientific Advisor\, Schlumberger Doll Research
DESCRIPTION:Bio: Vladimir Druskin is an applied mathematician with expertise in several areas including numerical algorithms\, large scale numerical simulations\, computational linear algebra\, inverse problems\, model reduction\, computational geophysics\, subsurface and medical imaging\, electrical engineering and financial mathematics. Dr. Druskin got his Ph.D. from Lomonosov Moscow State University (MSU) focused on applied mathematics. He is currently a scientific advisor at Schlumberger Doll Research working in energy research and development with demonstrated successful history of leading large collaborative industrial-academic projects in mathematical modeling and data-processing. \nReduced order models\, networks\, and applications to modeling and imaging with waves\nGeophysical seismic exploration\, as well as radar and sonar imaging require the solution of large-scale forward and inverse problems for hyperbolic systems of equations.  In this talk\, I will show how model order reduction can be used to address some intrinsic difficulties of these problems.  In model order reduction\, one approximates the response (transfer function) of a large-scale dynamical system using a smaller system\, called the reduced order model (ROM).  We consider ROMs that capture properties of the large problem that are essential for imaging and that can be realized via sparse graph-Laplacian networks.  The ROMs are data-driven\, i.e.\, they learn the underlying PDE problem from the transfer function.  One of the better-known applications of our ROMs is the efficient discretization of PDE problems in unbounded domains.  Here I will focus on two recent applications: (i) Multiscale modeling of elastic wave propagation via network approximations\, with low communication and computational cost; (ii) A direct\, nonlinear acoustic imaging algorithm in strongly heterogeneous media\, where the ROM is used to manipulate the data in such a way that multiply scattered waves are separated from the single scattered ones. \nDr. Druskin is being hosted by Prof. Borcea (Mathematics) and Prof. Schotland (Mathematics & Physics). If you would like to meet him\, please send an email to micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-vladimir-druskin-schlumberger-doll-research/
LOCATION:1360 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2757302;-83.7351764
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180406T150000
DTEND;TZID=America/Detroit:20180406T160000
DTSTAMP:20260604T061619
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
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SUMMARY:AIM Seminar: Christoph Börgers\, Mathematics\, Tufts University
DESCRIPTION:Bio: Christoph Börgers is a Professor of Mathematics at Tufts University. He got his Ph.D. under Prof. Charles Peskin at the Courant Institute of Mathematical Sciences\, in 1985. Prof. Börgers was a professor in the University of Michigan department of Mathematics until 1996 when he moved to Tufts. His expertise is in mathematical neuroscience\, applied dynamical systems\, numerical analysis\, scientific computing\, and during the past decade\, most of his work has been in the area of Computational Neuroscience. \nRhythms in neuronal networks with recurrent excitation\nInteracting excitatory and inhibitory neuronal populations often generate oscillations in electrical fields in the brain. I will briefly review this mechanism and the reasons to believe that it is important in brain function. Most of the talk will be focused on the effects of recurrent excitation\, i.e.\, of the neurons of a local network in the brain exciting each other. Recurrent excitation can sustain activity in a network that would otherwise be quiescent; this is believed to be the basis of working memory. It can also lead to a runaway process\, with excitation generating more excitation etc.\, much as the presence of a quadratic term on the right-hand side of a differential equation can lead to blow-up in finite time; this may be related to epileptic seizures. For model problems\, we prove that abrupt transitions to runaway activity require recurrent excitation with fast kinetics\, while working memory activity is more robust with recurrent excitation with slow kinetics. \nProf. Börgers is being hosted by Prof. Robert Krasny (Mathematics).
URL:https://micde.umich.edu/event/aim-seminar-christoph-borgers-mathematics-tufts-university/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180402T140000
DTEND;TZID=America/Detroit:20180402T150000
DTSTAMP:20260604T061619
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
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SUMMARY:MICDE Seminar: Amanda Randles\, Department of Biomedical Engineering\, Duke University
DESCRIPTION:Bio: Amanda Randles is an assistant professor of Biomedical Engineering at Duke University. She has courtesy appointments in the departments of Mechanical Engineering and Material Science\, Computer Science and Mathematics\, and is a member of the Duke Cancer Institute. She got her Ph.D. from Harvard University in 2013\, and has been the recipient of the Lawrence Fellowship (Lawrence Livermore National Lab.)\, the Anita Borg Memorial Scholarship (Google)\, and the George Michael Memorial High Performance Computing Fellowship (ACM/IEEE) among many accomplishments in her early career. Her research in biomedical simulation and high performance computing focuses on the development of new computational tools that she uses to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. \nMassively Parallel Simulations of Hemodynamics in the Human Vasculature\nThe recognition of the role hemodynamic forces have in the localization and development of disease has motivated large-scale efforts to enable patient-specific simulations. When combined with computational approaches that can extend the models to include physiologically accurate hematocrit levels in large regions of the circulatory system\, these image-based models yield insight into the underlying mechanisms driving disease progression and inform surgical planning or the design of next generation drug delivery systems. Building a detailed\, realistic model of human blood flow\, however\, is a formidable mathematical and computational challenge. The models must incorporate the motion of fluid\, intricate geometry of the blood vessels\, continual pulse-driven changes in flow and pressure\, and the behavior of suspended bodies such as red blood cells. In this talk\, I will discuss the development of HARVEY\, a parallel fluid dynamics application designed to model hemodynamics in patient-specific geometries. I will cover the methods introduced to reduce the overall time-to-solution and enable near-linear strong scaling on up to 1\,572\,864 core of the IBM Blue Gene/Q supercomputer. Finally\, I will present the expansion of the scope of projects to address not only vascular diseases\, but also treatment planning and the movement of circulating tumor cells in the bloodstream. \nProf. Randles is being hosted by Dr. Carrasco-Teja (MICDE). If you would like to meet her during her visit please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-amanda-randles-duke-university/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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GEO:42.2914823;-83.7138452
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180330T140000
DTEND;TZID=America/Detroit:20180330T150000
DTSTAMP:20260604T061619
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000125-1522418400-1522422000@micde.umich.edu
SUMMARY:MICDE Seminar: Michael Falk\, Department of Materials Science and Engineering\, Johns Hopkins University
DESCRIPTION:Bio: Michael Falk is a professor of Materials Science and Engineering at Johns Hopkins University where he also serves as the Vice Dean for Undergraduate Education. He holds a bachelor’s degree in physics and a master’s degree in Computer Science from Johns Hopkins. He completed his Ph.D. in physics at the University of California\, Santa Barbara and then launched his academic career as a computational materials scientist at the University of Michigan in 2000. In 2008 he returned to Johns Hopkins as an associate professor of Materials Science and Engineering with joint appointments in Mechanical Engineering and Physics. Prof. Falk’s research focuses on utilizing computer simulation on the atomic scale to understand the processes by which materials are pushed out of equilibrium by processes such as bending\, breaking\, charging and undergoing frictional sliding. His research has had an abiding focus on the ways glass structures accommodate plastic flow\, deformation and fracture. These investigations have involved developing new methodologies for deploying molecular dynamics simulations and the development of thermodynamically motivated constitutive theories. Prof. Falk also engages in educational research and is a strong advocate for diversity and inclusion\, engaging in outreach to Baltimore City elementary schools and advocating for a welcoming climate for LGBTQ people within the engineering and physics professions. \nConnecting atomistic simulations\, defect-based theories and continuum plasticity in amorphous solids\nGlasses\, and the more general category of materials known as amorphous solids\, lack crystal structure and find wide application from consumer goods to photovoltaics. Yet\, issues quantifying disorder have stymied the construction of physically grounded mechanical constitutive laws for these materials suitable for failure prediction. Atomistic simulation methods can provide some insight regarding the mechanisms of plastic deformation and strain localization. Recent investigations have aimed at quantifying the defects that control plastic flow by quantifying a yield stress field at the nanometer scale. Analysis of these fields have confirmed some of the assumptions built into the shear transformation zone theory of amorphous plasticity\, most notably the orientational nature of the defect and their pre-existence in the structure. I will further discuss methods for quantitatively predicting strain localization\, a limiting failure process in high-strength metallic glasses and other amorphous materials by parameterizing the effective-temperature shear transformation zone theory from molecular dynamics simulations. We have directly cross-compared molecular dynamics simulations and continuum representations of these same materials in order to test and validate our constitutive theories. The role of coarse graining in the linkage of continuum and atomistic methods is crucial\, and convergence only arises above a critical length scale on the order of tens of angstroms. The investigation makes clear the need to separate out the relevant fluctuations in material structure from the shorter wavelength fluctuations that serve to obscure them. It is\, in the end\, the interactions between these larger-scale relevant fluctuations via the material’s mechanical response that controls the failure process during strain localization. \nProf. Falk is being hosted by Prof. Yue Fan (Mechanical Engineering). If you would like to meet him during his visit please email micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-michael-falk-hopkins/
LOCATION:1303 EECS\, 1301 Beal Ave\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180322T080000
DTEND;TZID=America/Detroit:20180322T170000
DTSTAMP:20260604T061619
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000131-1521705600-1521738000@micde.umich.edu
SUMMARY:Computation: A Pillar of Science and a Lens to the Future — the 2018 MICDE Symposium
DESCRIPTION:The Michigan Institute for Computational Discovery and Engineering 2018 Symposium will feature eminent scientists from around the world and the U-M campus. The symposium this year will show how computational science is leading the research at all scales in our lives\, from the molecular level to the sky. \nVisit the Symposium page for more details. \nPlease register if you plan to attend. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSPEAKERS\n\n\n\n\n\n\n\n\n\n\nGuruduth Banavar\nChief Technology Officer\nViome \n\n\n\n\n\n\n\n\n\n\n\nCynthia Chestek\nAssistant Professor\, Biomedical Engineering and EECS\nUniversity of Michigan \n\n\n\n\n\n\n\n\n\n\n\nAlison Marsden\nPrincipal Investigator\, Cardiovascular Biomechanics Computation Lab\nStanford University \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nCleve Moler\nCofounder and Chief Mathematician\nMathWorks \n\n\n\n\n\n\n\n\n\n\n\nRaju Namburu\nChief\, Computational and Information Sciences Directorate\nArmy Research Lab \n\n\n\n\n\n\n\n\n\n\n\nStephen Smith\nAssistant Professor\, Ecology and Evolutionary Biology\nUniversity of Michigan \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nBeth Wingate\nProfessor\, Mathematics\nUniversity of Exeter \n\n\n\n\n\n\n\n\n\nPOSTER COMPETITION\nThe symposium will include a poster competition highlighting outstanding computational work from U-M students and postdocs. First place is awarded $500\, and second and third places win $250.
URL:https://micde.umich.edu/event/computation-a-pillar-of-science-and-a-lens-to-the-future-the-2018-micde-symposium/
LOCATION:Rackham Amphitheatre\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Conference,Featured Events,MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20180220T140000
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UID:10000099-1519135200-1519138800@micde.umich.edu
SUMMARY:MICDE Seminar: Heather Mayes\, Chemical Engineering\, University of Michigan
DESCRIPTION:Bio: Heather Mayes is an Assistant Professor in the Department of Chemical Engineering. Her research group uses multi-scale modeling to discover protein-sugar interactions and to harness them for renewable energy and improved health. The study of carbohydrate-protein interactions is an important step to create renewable fuels and chemicals from non-food biomass\, and the results can be applied to several human diseases\, including cancer and autoimmune disorders. Prof. Mayes uses computational tools in her research\, including quantum mechanics\, molecular dynamics\, and rare-event sampling methods. She collaborates with experimental groups to understand past and guide future wet-lab studies to advance renewable chemicals and fuels\, as well as disease understanding. \nSimulating Protein-Carbohydrate Interactions to Bridge the Gap Between Human Chemical Intuition and Molecular Biophysics\nIn complex reacting systems\, it can be exceedingly difficult\, or even impossible\, to tease out elementary reaction mechanisms from wet-lab data alone\, due to data convolution resulting from the multiple reacting steps and competing reactions that simultaneously occur. The systems that the Mayes group studies (multiple types of protein-carbohydrate interactions) certainly fall into this category\, with understanding further hindered by the conformational\, stereochemical\, and regiochemical degrees of freedom key to chemical reactions in these systems. Yet\, understanding these elementary mechanisms would not only help answer fundamental questions in biology\, but also improve our ability to harness these systems for applications from renewable energy to pharmaceutical interventions. I will discuss several systems that we are studying\, and focus on our investigations of how enzymes break down plant biomass. I will share how our computational research rationalizes non-intuitive wet-lab observations by revealing mechanisms that do not conform to human intuition. In doing so\, we gather lessons from how nature has evolved efficient enzymes that we can then apply to rational enzyme design.
URL:https://micde.umich.edu/event/micde-seminar-heather-mayes-chemical-engineering-university-of-michigan/
LOCATION:NCRC10 ACR2\, 2800 Plymouth Rd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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SUMMARY:MICDE Seminar: Dominika Zgid\, Chemistry\, University of Michigan
DESCRIPTION:Bio: Dominika Zgid is an assistant professor of Chemistry at the University of Michigan. She received her Ph.D. from the University of Waterloo\, Canada\, in 2008. Since starting at Michigan\, she has received a DOE Early Career Award in 2013 and an NSF Career Award in 2015. \nHer main interests are at the interface of theoretical chemistry and condensed matter physics with a major focus on designing new\, systematically improvable and controlled computational methods that can be used to study strongly correlated molecules and materials. She has worked on a variety of topics\, such as a molecular version of density matrix renormalization group\, solvers for dynamical mean field theory using explicit bath formulation\, conserving Green’s function methods for weakly correlated systems and the development of the self-energy embedding theory. \nTowards Accurate Quantum-Mechanical Calculations beyond Density Functional Theory on Large Systems\nWe present a detailed discussion of self-energy embedding theory (SEET) which is a quantum embedding scheme allowing us to describe a chosen subsystem very accurately while keeping the description of the environment at a lower cost. We apply SEET to molecular examples where commonly our chosen subsystem is made out of a set of strongly correlated orbitals while the weakly correlated orbitals constitute an environment. Such a self-energy separation is very general and to make this procedure applicable to multiple systems a detailed and practical procedure for the evaluation of the system and environment self-energy is necessary. We list all the intricacies for one of the possible procedures while focusing our discussion on many practical implementation aspects such as the choice of best orbital basis\, impurity solver\, and many steps necessary to reach chemical accuracy. \nFinally\, on a set of carefully chosen molecular examples\, we demonstrate that SEET\, which is a controlled\, systematically improvable Green’s function method can be as accurate as established wavefunction quantum chemistry methods.
URL:https://micde.umich.edu/event/micde-seminar-dominika-zgid-chemistry-university-of-michigan/
LOCATION:CHEM 1706\, 930 N University\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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