ICME Xpo Research Symposium 2017

 

 

1:15-1:30 Prof. Aaron Sidford, Assistant Professor of Management Science & Engineering

Aaron Sidford is an Assistant Professor of Management Science and Engineering and, by courtesy, of Computer Science at Stanford University. Aaron received his PhD from the Electrical Engineering and Computer Science Department at the Massachusetts Institute of Technology where he was advised by Professor Jonathan Kelner.

Aaron's research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. He is particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.

1:30-1:45 Prof. Ali Mani, Assistant Professor of Mechanical Engineering

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Ali Mani is an Assistant Professor at the Flow Physics and Computational Engineering and the Mechanics and Computation groups in the Mechanical Engineering Department at Stanford University. He received his Bachelor of Science in mechanical engineering from Sharif University of Technology in 2002, and his Master of Science in mechanical engineering from Stanford University in 2004, followed by his Ph.D in 2009. He worked as an engineering research associate at Stanford and a senior postdoctoral associate at MIT's department of chemical engineering before joining Stanford as a faculty.

The Mani Research Lab is broadly defined around multiphysics problems in fluids and transport engineering, commonly involving phenomena such as: interfaces, shocks, electrohydrodynamics, turbulence, and micro/nano-scale engineering. Our work contributes to the understanding of these problems primarily through theoretical tools such as large-scale computation and techniques of applied mathematics. Numerical simulations enable quantitative visualization of the detailed physical processes which can be difficult to detect experimentally. They also provide insight for the development of reduced-order models. The ultimate goal in each problem is to provide a simple representation of the essential physics (ideally ODE-level) which would naturally induce insight into design, optimization and control. While these efforts at core rely on mathematical techniques such as asymptotic methods or statistical analysis, close interaction with experiments is crucial in identification of practical bottlenecks and validation of the theoretical assumptions.

1:45-2:00 Ken Jung, Research Engineer at the School of Medicine 

Ken Jung, Research Engineer at the School of Medicine, Stanford - Transfer Learning with Electronic Health Record Data

Ken Jung is a Research Engineer at Stanford University in the Center for Biomedical Informatic Research.  His primary focus is predictive models of clinical outcomes using data from Electronic Health Records.  He has worked as a software engineer at Thinking Machines and as a computational biologist at Genentech prior to returning to Stanford University, where he received his PhD under the supervision of Nigam Shah in 2015.

2:00-2:15 Prof. Mary Wootters, Assistant Professor of Computer Science and of Electrical Engineering

 

 

 

Mary Wootters is an Assistant Professor of Computer Science and Electrical Engineering at Stanford University. She received a PhD in mathematics from the University of Michigan in 2014 and a BA in math and computer science from Swarthmore College in 2008; she was an NSF postdoctoral fellow at Carnegie Mellon University from 2014 to 2016. Her research interests include randomized algorithms, coding theory, dimension reduction, matrix completion, and sparse signal processing.

 

2:15-2:30 Prof. Amin Saberi, Associate Professor of Management Science and Engineering

 

Amin Saberi is an Associate Professor and 3COM faculty scholar in Stanford University. His research interests include algorithms, design and analysis of social networks, and applications. He is a recipient of the Terman Fellowship, Alfred Sloan Fellowship and a number of best paper awards. Amin is also co-founder and chairman of NovoEd, a social learning environment used by Stanford, UC Berkeley, as well as other non-profit and for-profit institutions for offering courses to hundreds of thousands of learners around the world.

 

2:30-2:45 Amir Zamir, Postdoctoral Researcher of Computer Science 

 

Amir R. Zamir is a postdoctoral researcher at Stanford and UC Berkeley. His  research interests lie broadly in computer vision and machine learning with a focus on self-supervised/unsupervised learning, open-world vision, and video understanding. He is particularly passionate about going beyond task-specific models and developing the theoretical and experimental grounds of a human-like comprehensive and generalizable perception. Amir is the recipient of CVPR Best Student Paper Award (2016), UCF Graduate Research Forum Award (2014), National Geospatial-Intelligence Agency (NGA) NARP-SW Award (2013), and UCF Research Excellence Award (2013).

 

2:45-3:00 Prof. Mykel Kochendorfer, Assistant Professor of Aeronautics and Astronautics

 

 

3:30 Johnny Kuo Global Business Systems (Kayvis Damptey Consulting and Support and Johnny Kuo Global Business Systems (Presenting on the key activities reported in Stanford University's advances, and the over 150 countries for which those advances were issued, respectively)

4:00 Pediatric Cardiology Virtual Reality for Collaborative Learning (The Stanford Division of Pediatric Cardiology and Department of Engineering have collaborated to exhibit the Stanford Virtual Heart at the HIVE. Developed by Lighthaus Inc, the Stanford Virtual Heart is an immersive and interactive virtual reality (VR) experience in congenital heart disease. Students and trainees can interact with individual hearts and teleport inside a heart with a congenital heart defect, while displaying the VR heart on the massive high fidelity HIVE screen. Drs. Alison Marsden and David Axelrod continue to collaborate as they bring the complete congenital heart disease experience to life at the HIVE. The Stanford Virtual Heart was developed with support from the Betty Irene Moore Children’s Heart Center at Stanford and Oculus VR)

4:30 David Rumsey Map Center (How high resolution digitized maps can show many surprises)