Associate Research Professor in the Robotics Institute, School of Computer Science;
Courtesy Professor in the Electrical and Computer Engineering (ECE) department;
Director of the Master of Science Computer Vision (MSCV) Program
Carnegie Mellon University

Research Fellow in the Institute of Industrial Science at the
University of Tokyo

Research Areas: Computer Vision, Machine Learning, Autonomous Systems
Lab Research Focus:
The vision of our lab is to realize robust autonomous systems built for real-world perception and interactive decision-making. The key focus areas of our lab are perception, decision-making and interaction. Our focus is broad because we believe that innovating at the system-level requires expertise and integration at the component level.

We innovate across the full spectrum of perception including vision-based human pose estimation, action recognition, object detection/tracking/forecasting, 3D scene understanding. We develop computational models for reinforcement learning, inverse reinforcement learning, imitation learning, game-theoretic modeling and Neural Architecture Search. We build real-world systems to enable cyber-physical interaction including wearable camera systems, multi-modal sensors, portable navigational aides and assistive mobile robots.

Hiring Information:
(Jan 2021) Internal positions available at all levels (UG, MS, PhD, PD, RA). CMU is currently under a hiring freeze for external hires but do contact me if you are looking for a position at the end of 2021. Please send complete emails with a short description of why you would be a good fit for the lab and please don't forget to attach your CV.


Research Projects

Research Sponsors and Supporters
Shimizu Corporation
DENSO Corporation
Toyota Research Institute
Caterpillar Inc.
Facebook Reality Labs / FAIR
Highmark / Allegheny General Hospital
National Science Foundation (NSF) - NRI
Japan Science and Tecnology Agency (JST) - CREST, AIP
Intelligence Advanced Research Projects Activity (IARPA) - DIVA
Mational Instite of Disability, Independent Living and Rehabilitation Research (NIDILRR)
Department of Homeland Security (DHS)