Put AI to Work
April 15-18, 2019
New York, NY
Mohammad Mavadati

Mohammad Mavadati
Lead Computer Vision Scientist, Affectiva

Website

Mohammad Mavadati is lead computer vision scientist at Affectiva, where he leads the computer vision team to deliver state-of-the-art emotion-aware AI technology. Mohammad’s mission is to bring emotional intelligence to human-machine interaction and utilize his extensive research and affective-computing expertise to deliver smarter and more emotionally aware services to the automotive industry. He has coauthored more than 20 technical publications related to affective computing. Mohammad holds a PhD in computer science from University of Denver.

Sessions

4:55pm5:35pm Thursday, April 18, 2019
Case Studies, Machine Learning
Location: Sutton South
Secondary topics:  Models and Methods, Reliability and Safety, Temporal data and time-series
Mohammad Mavadati (Affectiva)
According to the CDC, drowsy drivers cause up to 6,000 fatal crashes annually. Driver alertness monitoring systems will enable more reliable vehicles and safer roads. Mohammad Mavadati offers an overview of state-of-the-art vision-based DNN techniques for drowsiness (intensity) annotations and modeling and reveals some of the AI solutions for in-car drowsiness predictions. Read more.