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Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […] |
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Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The 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 […] |
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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 […]
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Emily Mower Provost, PhD Assistant Professor Computer Science Engineering University of Michigan "Human-Centered Computing: Using Speech to Understand Behavior" Bio: 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 […] |
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Simon Adorf (PhD Candidate, Chem. Eng.) will give a presentation about "Simple Data Management with Signac". ABSTRACT: We will give a brief introduction to the signac data management framework for agile computational workflows, followed by presenting interactive examples using jupyter notebooks hosted online. The signac framework aids in the management of large and heterogeneous data […] |
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In partnership with Stanford University, MIDAS will participate in the 2017 Women in Data Science conference, with live speakers on campus and a simulcast of the conference proceedings from Stanford. Speakers at U-M are: Amy Cohn, Associate Professor, Industrial and Operational Engineering, Center for Healthcare Engineering and Patient Safety, U-M Stephanie Teasley, Research Professor, School […]
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Bio: Anna Krylov is a Gabilan Distinguished Professor in Science and Engineering, Chemistry at the University of Southern California. She received her M.Sc. in Chemistry from Moscow State University and later her Ph.D. from The Hebrew University of Jerusalem. Upon completing her Ph.D. in 1996 (summa cum laude), she joined the group of Prof. Martin […]
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Yao Xie, PhD Georgia Institute of Technology Bio: Yao Xie is an assistant professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Her research interests are in sequential statistical methods, statistical signal processing, big data analysis, compressed sensing, optimization, and has been involved in applications to wireless communications, sensor networks, medical and astronomical […] |
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