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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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DTSTART;TZID=America/Detroit:20190208T150000
DTEND;TZID=America/Detroit:20190208T160000
DTSTAMP:20260608T155542
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
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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
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DTSTART;TZID=America/Detroit:20190215T130000
DTEND;TZID=America/Detroit:20190215T140000
DTSTAMP:20260608T155542
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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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DTSTART;TZID=America/Detroit:20190218T150000
DTEND;TZID=America/Detroit:20190218T160000
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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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