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DTSTART;TZID=UTC:20170109T170000
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - Central Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
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DTSTART;TZID=UTC:20170111T170000
DTEND;TZID=UTC:20170111T180000
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
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DTSTART;TZID=America/Detroit:20170127T120000
DTEND;TZID=America/Detroit:20170127T130000
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SUMMARY:MICDE Seminar: Vipin Kumar\, Computer Science and Engineering\, University of Minnesota
DESCRIPTION:Bio: Vipin Kumar is a Regents Professor and holds William Norris Chair in the department of Computer Science and Engineering  at the University of Minnesota.  His research interests include data mining\, high-performance computing\, and their applications in Climate/Ecosystems and health care. He is currently leading an NSF Expedition project on understanding climate change using data driven approaches.  He has authored over 300 research articles\, and co-edited or coauthored 10 books including the widely used text book “Introduction to Parallel Computing”\, and “Introduction to Data Mining”.  Kumar co-founded SIAM International Conference on Data Mining and served as a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining (an official journal of the American Statistical Association).  Kumar is a Fellow of the ACM\, IEEE and AAAS.  He received the Distinguished Alumnus Award from the Indian Institute of Technology (IIT) Roorkee (2013) and the Distinguished Alumnus Award from the Computer Science Department\, University of Maryland College Park (2009).  Kumar’s foundational research in data mining and high performance computing has been honored by the ACM SIGKDD 2012 Innovation Award\, which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD)\, and the 2016 IEEE Computer Society Sidney Fernbach Award\, one of IEEE Computer Society’s highest awards. \nBig Data in Climate: Opportunities and Challenges for Machine Learning and Data Mining\nThis talk will present an overview of research being done in a large interdisciplinary project on the development of novel data mining and machine learning approaches for analyzing massive amount of climate and ecosystem data now available from satellite and ground-based sensors\, and physics-based climate model simulations. These information-rich data sets offer huge potential for monitoring\, understanding\, and predicting the behavior of the Earth’s ecosystem and for advancing the science of global change. This talk will discuss challenges in analyzing such data sets and some of our research results in mapping the dynamics of surface water globally as well as detecting deforestation and fires in tropical forests using data from Earth observing satellites. \nResearch funded by the NSF Expeditions in Computing Program and  NASA \nPizza lunch will be provided
URL:https://micde.umich.edu/event/micde-seminar-vipin-kumar-computer-science-and-engineering-university-of-minnesota/
LOCATION:1008 EECS\, 1301 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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DTSTART;TZID=America/Detroit:20170127T160000
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SUMMARY:Emily Mower Provost\, PhD\, University of Michigan - MIDAS Seminar Series
DESCRIPTION:Emily Mower Provost\, PhD\nAssistant Professor\nComputer Science Engineering\nUniversity of Michigan\n  \n“Human-Centered Computing: Using Speech to Understand Behavior”\n  \nBio: Emily Mower Provost is an Assistant Professor in the Computer Science and Engineering Department (CSE) at the University of Michigan.  She received her B.S. degree in electrical engineering from Tufts University\, Boston\, MA\, in 2004 and her M.S. and PhD degrees in electrical engineering from the University of Southern California (USC)\, Los Angeles\, in 2007 and 2010\, respectively.  Her research interests are in human-centered speech and video processing and multimodal interfaces design. The goals of her research are motivated by the complexities of human emotion generation and perception. She seeks to provide a computational account of how humans perceive emotional utterances (“emotion perception”) and combines this with knowledge gleaned from perception estimation studies (“emotion recognition”) to develop systems capable of interpreting naturalistic expressions of emotion utilizing a new quantification measure (“emotion profiles”). She has published many articles in these areas and is a contributor to the winning paper in the classifier category of the 2009 Interspeech Emotion Challenge\, a best student paper at ACM Multimedia 2014\, and an honorable mention at IEEE ICMI 2016.  She received the Oscar Stern Award for Depression Research (2015) \nAbstract: Emotion and mood have intrigued researchers for generations. This fascination has permeated the engineering community\, motivating the development of affective computational models for classification\, particularly in the domain of assistive technology for mental health.  Effective treatment and monitoring for individuals with mental health disorders is an enduring societal challenge. Regular monitoring increases access to preventative treatment\, but is often cost prohibitive or infeasible given high demands placed on health care providers. Yet\, it is critical for individuals with Bipolar Disorder (BPD)\, a chronic psychiatric illness characterized by mood transitions between healthy and pathological states. Transitions into pathological states are associated with profound disruptions in personal\, social\, vocational functioning\, and emotion regulation.  I will present our ongoing work investigating new approaches in speech-based mood and emotion modeling. \nFor more information on MIDAS or the Seminar Series\, please contact midas-contact@umich.edu. MIDAS gratefully acknowledges Northrop Grumman Corporation for its generous support of the MIDAS Seminar Series.
URL:https://micde.umich.edu/event/emily-mower-provost-phd-university-of-michigan-midas-seminar-series/
LOCATION:Forum Hall\, Palmer Commons\, 100 Washtenaw Ave\, Ann Arbor\, MI\, 48109\, United States
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