KEYNOTE PRESENTATIONS and TUTORIALS
KEYNOTE SPEAKERS
Jose C. Principe, Distinguished Professor, Director of Computational NeuroEngineering Laboratory, University of Florida, website.
Jeff Schneider, Research Professor, The Robotics Institute, School of Computer Science, Carnegie Mellon University, website.
Nikolaos Sidiropoulos, Professor and Chair, Electrical and Computer Engineering Department, University of Virginia, website.
Yingbin Liang, Associate Professor, Electrical and Computer Engineering Department, Ohio State University, website.
TUTORIALS
Siheng Chen, Research Scientist at Mitsubishi Electric Research Laboratory (MERL).
Tutorial Title: Data science with graphs: From social network analysis to autonomous driving
Short biography: Siheng Chen is a research scientist at Mitsubishi Electric Research Laboratories (MERL). Before that, he was an autonomy engineer at Uber Advanced Technologies Group, working on the perception and prediction systems of self-driving cars. Before joining Uber, he was a postdoctoral research associate at Carnegie Mellon University. Dr. Chen received the doctorate in Electrical and Computer Engineering from Carnegie Mellon University in 2016, where he also received two masters degrees in Electrical and Computer Engineering and Machine Learning, respectively. He received my bachelor's degree in Electronics Engineering in 2011 from Beijing Institute of Technology, China. He is the recipient of the 2018 IEEE Signal Processing Society Young Author Best Paper Award. His coauthored paper received the Best Student Paper Award at IEEE GlobalSIP 2018. His research interests include signal processing, machine learning and autonomous driving
Amir Tahmasebi, Director of Machine Learning and AI, CODAMETRIX, Boston, MA
Tutorial Title: Natural Language Processing for Healthcare Applications
Short biography: Amir Tahmasebi is the director of machine learning and AI at CODAMETRIX, Boston, MA. He also serves as a lecturer in Electrical and Computer Engineering Department at Northeastern University, Boston, MA. Prior to joining CODAMETRIX, Dr. Tahmasebi was a Principal R&D Engineer at Disease Management Solutions Business of Philips HealthTech, Cambridge, MA. Dr. Tahmasebi’s research is focused on patient clinical context extraction and modeling through medical image analysis and Natural Language Processing. Dr. Tahmasebi received his PhD degree in Computer Science from the School of Computing, Queen's University, Kingston, Canada. He is the recipient of the IEEE Best PhD Thesis award and Tanenbaum Post-doctoral Research Fellowship award. He has been serving as an industrial Chair for IPCAI conference since 2015. Dr. Tahmasebi has published and presented his work in a number of conferences and journals including NIPS, MICCAI, IPCAI, SPIE, JDI, IEEE TMI, and IEEE TBME. He has also been granted more than 10 patent awards
KEYNOTE SPEAKERS
Jose C. Principe, Distinguished Professor, Director of Computational NeuroEngineering Laboratory, University of Florida, website.
Jeff Schneider, Research Professor, The Robotics Institute, School of Computer Science, Carnegie Mellon University, website.
Nikolaos Sidiropoulos, Professor and Chair, Electrical and Computer Engineering Department, University of Virginia, website.
Yingbin Liang, Associate Professor, Electrical and Computer Engineering Department, Ohio State University, website.
TUTORIALS
Siheng Chen, Research Scientist at Mitsubishi Electric Research Laboratory (MERL).
Tutorial Title: Data science with graphs: From social network analysis to autonomous driving
Short biography: Siheng Chen is a research scientist at Mitsubishi Electric Research Laboratories (MERL). Before that, he was an autonomy engineer at Uber Advanced Technologies Group, working on the perception and prediction systems of self-driving cars. Before joining Uber, he was a postdoctoral research associate at Carnegie Mellon University. Dr. Chen received the doctorate in Electrical and Computer Engineering from Carnegie Mellon University in 2016, where he also received two masters degrees in Electrical and Computer Engineering and Machine Learning, respectively. He received my bachelor's degree in Electronics Engineering in 2011 from Beijing Institute of Technology, China. He is the recipient of the 2018 IEEE Signal Processing Society Young Author Best Paper Award. His coauthored paper received the Best Student Paper Award at IEEE GlobalSIP 2018. His research interests include signal processing, machine learning and autonomous driving
Amir Tahmasebi, Director of Machine Learning and AI, CODAMETRIX, Boston, MA
Tutorial Title: Natural Language Processing for Healthcare Applications
Short biography: Amir Tahmasebi is the director of machine learning and AI at CODAMETRIX, Boston, MA. He also serves as a lecturer in Electrical and Computer Engineering Department at Northeastern University, Boston, MA. Prior to joining CODAMETRIX, Dr. Tahmasebi was a Principal R&D Engineer at Disease Management Solutions Business of Philips HealthTech, Cambridge, MA. Dr. Tahmasebi’s research is focused on patient clinical context extraction and modeling through medical image analysis and Natural Language Processing. Dr. Tahmasebi received his PhD degree in Computer Science from the School of Computing, Queen's University, Kingston, Canada. He is the recipient of the IEEE Best PhD Thesis award and Tanenbaum Post-doctoral Research Fellowship award. He has been serving as an industrial Chair for IPCAI conference since 2015. Dr. Tahmasebi has published and presented his work in a number of conferences and journals including NIPS, MICCAI, IPCAI, SPIE, JDI, IEEE TMI, and IEEE TBME. He has also been granted more than 10 patent awards