CGSW 7.0 Plenary Speakers
January 15th, 2020
8 St. Mary’s Street
Photonics Building, Room PHO 210
Amin Tahmasbi, Research Scientist and Software Engineer, Optimus Ride: 3D Detection for Autonomous Driving
Amin Tahmasbi is a Research Scientist and Software Engineer at Optimus Ride, an MIT spinoff company that develops self-driving vehicle technologies to enable efficient, sustainable, and equitable mobility systems and solutions. At Optimus Ride, Tahmasbi is part of the perception team where he applies his expertise and experience in Perception, and Artificial Intelligence to continue building Autonomous driving software. Before joining Optimus Ride, Tahmasbi was a research scientist at Honda R & D. Tahmasbi received his M.S. in artificial intelligence from Sharif University of Technology, and his Ph.D. in computer science from West Virginia University with a focus on connected and automated vehicles.
Shiv Vitaladevuni, Senior Manager, Machine Learning, Amazon: Alexa Speech and AI
Shiv Vitaladevuniis a Senior Manager in Machine Learning at Amazon Alexa, focusing on R&D for Alexa family of devices such as Echo, Dot, Tap, FireTV, etc.At Amazon, Shiv leads a team of 65+ scientists and engineers inventing embedded speech and ML products used by millions of Alexa customers across all Alexa devices, around the globe. His team conducts research in areas such as Federated ML, Large scale semi/unsupervised learning, User diversity and fairness in ML, Speaker adaptation and personalization, memory efficient deep learning models, etc. Prior to Amazon, Shiv worked on video and text document analysis at Raytheon BBN Technologies, and bio-medical image analysis at Howard Hughes Medical Institute.
Lin Li, Technical Staff Member, AI and Technology Systems, MIT Lincoln Laboratory: Counter Illicit Marketplaces on Dark Web
Dr. Lin Li is a member of the technical staff in the Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory. Her research is focused on social network analysis, advanced graph analytics, and anomaly detection in networks. She is currently investigating approaches on entity disambiguation in networks, community detection across different social networks, and dark web analytics. Before joining Lincoln Laboratory in 2015, Dr. Li worked at the U.S. Army Research Laboratory, Adelphi, Maryland, as a postdoctoral researcher. Her research was on learning the sparse representations of high-dimensional data, developing a modeling framework for learning the dynamic patterns in the collective behaviors of social agents, and numerically analyzing interactions between connected agents in social networks. Dr. Li is a member of the IEEE. She received the 2014 Young Author Best Paper Award from the IEEE Signal Processing Society for her work on distributed principal subspace estimation in wireless sensor networks. Dr. Li received a PhD degree in 2013 and a BS degree in 2008, both in electrical and computer engineering from the University of California, Davis.