BS Computer Science Stanford University Departmental honors 2001
MS Computer Science University of the Western Cape Cum Laude 2007
PhD Computer Science University of California, San Diego 2012
My research interests are in applied machine learning, computer vision, data science and their applications to education, affective computing, and human behavior recognition. My work is highly interdisciplinary and frequently intersects cognitive science, psychology, and education. Before joining WPI, I was a research scientist at the Office of the Vice Provost for Advances in Learning at Harvard University. In 2012, I co-founded Emotient, a San Diego-based startup company for automatic emotion and facial expression recognition. I also love teaching and have lectured, mentored, and tutored students in the USA, South Africa, Rwanda, and Germany.
Research Interests
Machine learning
Affective computing
Intelligent tutoring systems
Computer vision
Scholarly Work
Modeling one-on-one tutoring sessions K Dykstra, J Whitehill, L Salamanca, M Lee, A Carini, J Reilly, M Bartlett 2012 IEEE International Conference on Development and Learning and ...
Multilayer architectures for facial action unit recognition T Wu, NJ Butko, P Ruvolo, J Whitehill, MS Bartlett, JR Movellan IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42
Discriminately decreasing discriminability with learned image filters J Whitehill, J Movellan Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on ...
A stochastic optimal control perspective on affect-sensitive teaching JR Whitehill University of California, San Diego
The Motion in Emotion—A CERT based approach to the FERA emotion challenge G Littlewort, J Whitehill, TF Wu, N Butko, P Ruvolo, J Movellan, M Bartlett Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE ...
Action unit recognition transfer across datasets T Wu, NJ Butko, P Ruvolo, J Whitehill, MS Bartlett, JR Movellan Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE ...
In its College Town section, The Telegram & Gazette featured how Jacob Whitehill, assistant professor of computer science, is collaborating with colleagues at the University of Colorado Boulder to explore how artificially intelligent (AI) teaching agents might help encourage more meaningful collaboration among students in school classrooms.
Forbes reported online about research led by Shichao Liu to study the optimal indoor conditions for learning. Liu, Jacob Whitehill and Steven Van Dessel received $299,991 develop technologies that detect and boost student engagement in lessons by controlling classroom temperature, ventilation, and lighting.
