What is the Future of Driver Monitoring Technology?

FREE December 10, 2021 @ 11:00am ET
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Overview
Speakers

Overview

The recently passed US House of Representatives infrastructure bill has generated discussion about certain types of car technology such as those that monitor drivers for impairment as well as technology that assists in protecting pedestrians and cyclists. What are some of the technologies that are out there and what does it mean for the human in the car? 

This webinar showcases academic research in the technology and psychology of driver monitoring systems.

Researchers presenting in this webinar include:

  • Lishengsa Yue – Postdoctoral Researcher at University of Central Florida – An Augmentation Function for Active Pedestrian Safety System Based on Crash Risk Evaluation
  • Kapotaksha Das – Graduate Student, University of Michigan – Dearborn Computer & Information Science – Distracted and Drowsy Driving Modeling Using Deep Physiological Representations and Multitask Learning
  • Michael A. Nees, Ph.D – Associate Professor, Department of Psychology, Lafayette College, Easton, PA– Driver Monitoring Systems: Perceived Fairness of Consequences when Distractions are Detected
  • Suresh Kumaar Jayaraman Ph.D. – Postdoctoral Researcher, Cornell University- Multimodal Hybrid Pedestrian: A Hybrid Automaton Model of Urban Pedestrian Behavior for Automated Driving Applications

This webinar is part of our Applied Privacy Research Coordination Network. This project was funded by the National Science Foundation to facilitate dialogue between the academic community and industry on topics related to data protection and privacy.

Speakers

Kapotaksha Das

Ph.D. Student, University of Michigan-Dearborn

Kapotaksha has a MSc. in Data Science and is currently a Ph.D. student at the University of Michigan-Dearborn in the field of Computer and Information Sciences. His research explores the usage of multimodal data channels in Deep Learning, with current applications in detecting a subject’s drowsiness and distraction using thermal, visual, and physiological signals. 

Suresh Kumaar Jayaraman

Postdoctoral Associate, Cornell University

Suresh Kumaar Jayaraman is a postdoctoral scholar in the department of mechanical and aerospace engineering at Cornell University. He received the B.E. degree in production engineering from Anna University, India, in 2013, and the M.S. degree in mechanical engineering, in 2018, and the Ph.D. degree in mechanical engineering, in 2021, both from the University of Michigan, Ann Arbor, MI, USA. His research interests include human-autonomy interaction modeling, trust in autonomy, traffic user behavior modeling, and autonomous vehicle control. His current work focuses on developing behavior models and algorithms for trustworthy interaction between humans and AI/robotic agents. 

Dr. Michael Nees

Associate Professor, Lafayette College

Michael A. Nees is an Associate Professor and directs the Human Factors, Perception, and Cognition Lab in the Department of Psychology at Lafayette College. He was awarded a Ph.D. in psychology from the Georgia Institute of Technology in 2009.  His research interests include auditory perception and auditory interface design, human interactions with automation, and assistive technologies.  He teaches courses on human factors and engineering psychology, perception, statistics and research design, and disabilities and assistive technology. He also provides consulting services for user needs analysis, usability, and user experience.  Professor Nees taught previously at Spelman College and worked as a post-doctoral researcher at Georgia Tech. He also worked previously as a research scientist at the Indianapolis VA Medical Center and as a consultant for clinical research trials. 

​​Dr. Lishengsa Yue

Postdoctoral Researcher, University of Central Florida

Lishengsa Yue received his Ph.D. degree from the University of Central Florida and he is working as a postdoctoral researcher there.  His research relates to connected and autonomous vehicles, advanced driver assistance systems, and human factors. He has rich experience in integrated driving simulator development. Since 2017, Lishengsa Yue has published over 20 papers, and two papers were awarded as the highly cited paper by the Clarivate journal citation report; he has given many presentations regarding his research at the Transportation Research Boarding Annual Meeting (TRB) and American Society of Civil Engineers (ASCE) conference.  He is the recipient of the Florida ITS Anne Brewer Academic Scholarships (2019). Lishengsa Yue is the handling editor of the Journal of Transportation Research Record, the most cited journal in transportation policy and patent in 2018-2020.  

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