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:
(May 2020) CMU students: I will be hiring at all levels in the Fall. Please contact me during orientation week to setup a brief intervew.
(May 2020) Postdocs: Looking for researchers with experience in multi-agent forecasting, inverse reinforcement learning (structural parameter estimation) or simulated humanoid control.


Research Projects

Research Sponsors
Shimizu Corporation
DENSO Corporation
Caterpillar Inc.
Facebook Reality Labs
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)