speaker-photo

ERIC LARSON

Day 1 Speaker

Dr. Larson is the Bobby B. Lyle Endowed Professor in Engineering Innovation and an Altshuler Distinguished Teaching Professor. He is an Associate Professor in the Department of Computer Science at SMU with courtesy appointment in the Department of Operations Research and Engineering Management. He joined SMU in August 2013 after he received his PhD from the University of Washington. He is a member of the Darwin Deason Institute for Cyber-security, Center for Global Health, SMU AT&T Center for Virtualization, and Academy of Distinguished Teachers. He is also a fellow of the Hunt Institute for Engineering Humanity. His research explores the interdisciplinary relationship of machine learning and signal/image processing with the fields of security, mobile health, education, and ubiquitous computing. Like most academics, he has a passion for teaching and mentoring, and views research as an ideal opportunity to instruct the next generation of computer scientists and engineers. He has positioned himself (with plenty of help from others) in a unique role, supporting different research applications via the integration of machine learning and ubiquitous sensing. He has become increasingly interested in sensing markers of health and context awareness using commonplace sensors. His research supports many healthcare, educational, and security initiatives by creating applications that (1) manage and diagnose chronic/infectious ailments, (2) help learners master educational topics, and (3) investigate security and privacy through the lens of machine learning, especially side channels, information leakage, and anomaly detection. Dr. Larson has published numerous papers at top journals and conferences, one textbook, and two book chapters, garnering over 6,500 citations (Google Scholar H-index of 35). He has established grant funding for projects as PI and Co-PI with funding from a variety of sources including private contracts and government agencies, in excess of $12M. Dr. Larson has received federal grant funding from the National Science Foundation, National Institutes of Health, Department of Education, National Institutes for Standards and Technology, Department of Homeland Security, Office of Naval Research, United States Air Force, and Army Research Labs.