Seminar
Unfolding an Indoor Origami World
Event Location: NSH 1507Bio: David Fouhey is a Ph.D. student at the Robotics Institute, Carnegie Mellon University, where he is supervised by Abhinav Gupta and Martial Hebert. He holds an A.B. in Computer Science from Middlebury College. His research addresses a variety of scene understanding tasks in computer vision, with a particular interest in inferring [...]
From Shape-from-shading through e-Heritage
Event Location: NSH 1305Bio: Dr. Katsushi Ikeuchi is a Professor at the University of Tokyo. He received a Ph.D. degree in Information Engineering from the University of Tokyo in 1978. After working at the Massachusetts Institute of Technology’s AI Lab for two years, Electrotechnical Lab, Japan for five years, and Carnegie Mellon University for ten [...]
From Compliant Mechanisms to Hyper-Elastic Robots
Event Location: NSH 1305Bio: Michael Yu Wang is a Professor at National University of Singapore (NUS). Before joining NUS in 2014, he served on the engineering faculty at University of Maryland and the Chinese University of Hong Kong. He has numerous professional honors–National Science Foundation Research Initiation Award, 1993; Ralph R. Teetor Educational Award from [...]
Guaranteeing Safety of Autonomous Vehicles with On-The-Fly Verification
Event Location: GHC 2109Bio: Matthias Althoff received the diploma in Mechatronics and Information Technology from the department of mechanical engineering at the Technische Universität München, Germany, in 2005. He received his PhD degree (summa cum laude) in electrical engineering from the same university under the supervision of Univ.-Prof. Dr.-Ing./Univ. Tokio Martin Buss in 2010. From [...]
Bio-Inspired Soft Robotics: New Ways of Sensing and Actuation
Event Location: NSH 1305Bio: Yong-Lae Park is an Assistant Professor in the Robotics Institute and the School of Computer Science at Carnegie Mellon University (CMU). Prior to joining CMU in 2013, Prof. Park completed his Ph.D. degree in Mechanical Engineering from Stanford University, in 2010, and conducted postdoctoral research in the School of Engineering and [...]
Vision for cognitive robotics and some open meta problems
Event Location: NSH 1507Bio: Michael Zillich received his diploma in Mechatronics from Johannes Kepler University Linz in 1998 and his PhD in Electrical Engineering from Vienna University of Technology in 2007. Michael Zillich is (co)-author of over 80 publications and served on the program committees of a number of international conferences and as reviewer for [...]
Wave function representations in shape matching and indexing
Event Location: NSH 3305Bio: Anand Rangarajan has worked in shape analysis for over twenty years. After receiving the Ph.D. from the University of Southern California in 1991, he worked at Yale University in both the radiology and computer science departments until the advent of the new millennium. Since then, he has been in the computer [...]
Learning Through Startups – What They Don’t Teach You in Graduate School
Event Location: NSH 1305Bio: Dr. Dowling is the VP of Engineering for 4moms, a fast-growing Pittsburgh-based company that develops and markets advanced high-tech juvenile products. Previously he was Vice-President of Research and Development at Cambridge-based MC10, Dr. Dowling was responsible for driving MC10's high-performance stretchable electronics technology into products and applications. He built and led [...]
Robust and Efficient Real-time Mapping for Autonomous Robots
Event Location: NSH 1507Bio: Michael Kaess is an Assistant Research Professor in the Robotics Institute at Carnegie Mellon University (CMU). Prior to joining CMU in 2013, he was a Research Scientist (2010-2013) and a Postdoctoral Associate (2008-2010) in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). He received [...]
Large Scale Visual Recognition in Real-World Images
Event Location: NSH 1507Bio: Jia Li is a research scientist at Yahoo! Research. She leads the Visual Computing and Learning Group. Her research interests are computer vision, machine learning，social network analysis and multimedia analysis. She received her Ph.D. degree from the Computer Science Department at Stanford University. She is the leader of the OPTIMOL team, [...]