Robotics and Computer Vision Faculty

Jia Deng
Division: CSE
Address: 3765 Beyster
Phone: TBD
Email:
Degree: PhD, Computer Science, Princeton, 2012
Title: Visiting Assistant Professor; Assistant Professor
Research Interests: Harvesting, understanding, and harnessing big visual data for object recognition, activity recognition, scene understanding, image and video retrieval, and other applications.
Research Areas: Artificial Intelligence; Robotics and Computer Vision.
Areas of Specialty: Machine Learning; Computer Vision.
 
 
Ryan M. Eustice
Division: CSE
Address: 204 NAME Building
Phone: (734) 647-9411
Fax: (734) 936-8820
Email:
Degree: Ph.D. MIT / WHOI Joint Program
Title: Associate Professor Naval Architecture and Marine Engineering; Associate Professor of Elec. Eng. and Computer Science
Research Interests: Theoretical and experimental research in probabilistic robotics for large-scale mapping and navigation. Specific topics include vision-based simultaneous localization and mapping, underwater computer vision and image processing, data fusion, underwater vehicle navigation, and autonomous vehicles.
Research Areas: Robotics and Computer Vision.
 
 
James S. Freudenberg
Division: ECE
Address: 4425 EECS
Phone: (734) 763-0586
Fax: (734) 764-8041
Email:
Degree: Ph.D. U-Illinois
Title: Professor
Research Interests: Fundamental design limitations in feedback control systems, embedded control systems.
Research Areas: Control Systems; Robotics and Computer Vision.
Areas of Specialty: Modeling and Control of Automotive Powertrain Systems; Linear Feedback Control; Embedded Control Systems; Cyber-Physical Systems.
 
 
Anna C. Gilbert
Division: ECE
Address: 4831 East Hall
Phone: (734) 763-5728
Fax: 734 763-0937
Email:
Degree: Ph.D. Princeton
Title: Associate Professor, Electrical Engineering and Computer Science; Associate Professor, Mathematics
Research Interests: My research interests include analysis, probability, networking, and algorithms. I am especially interested in randomized algorithms with applications to harmonic analysis, signal and image processing, networking, and massive datasets.
Research Areas: Signal and Image Processing; Robotics and Computer Vision.
Areas of Specialty: Compressive Sampling and Sensing; Computer Vision.
 
 
Jessy W Grizzle
Division: ECE
Address: 4421 EECS
Phone: (734) 763-3598
Fax: (734) 763-8041
Email:
Degree: Ph.D. U-Texas Austin
Title: Jerry W. and Carol L. Levin Professor of Electrical Engineering; Professor of Mechanical Engineering
Research Interests: Analysis and feedback control of nonlinear systems; Control of bipedal robot locomotion; Automotive safety systems.
Research Areas: Control Systems; Robotics and Computer Vision; Energy Science and Engineering.
Areas of Specialty: Modeling and Control of Automotive Powertrain Systems; Nonlinear Control; Bipedal Robot Locomotion; Power/Energy Systems Analysis, Optimization and Control; Electric and Hybrid Electric Vehicles; Cyber-Physical Systems.
 
 
Alfred O. Hero
Division: CSE ECE
Address: 4417 EECS
Phone: (734) 763-0564
Fax: (734) 763-8041
Email:
Degree: Ph.D. Princeton
Title: R. Jamison and Betty Williams Professor of Engineering; Professor, Electrical Engineering and Computer Science; Professor, Biomedical Engineering and Statistics
Research Interests: Statistical signal and image processing.
Research Areas: Signal and Image Processing; Robotics and Computer Vision.
Areas of Specialty: Computational Imaging and Inverse Problems; Statistical Estimation and Learning; Signal Processing for Sensing and Sensor Networks; Computer Vision; Machine Learning.
 
 
Benjamin Kuipers
Division: CSE
Address: 3741 Beyster Bldg.
Phone: (734) 647-6887
Fax: (734) 763-1260
Email:
Degree: PhD., Massachusetts Institute of Technology
Title: Professor
Research Areas: Artificial Intelligence; Robotics and Computer Vision.
Areas of Specialty: Machine Learning; Robotics; Computer Vision.
 
 
Honglak Lee
Division: CSE
Address: 3773 Beyster Bldg.
Phone: (734) 764-3726
Email:
Degree: PhD Stanford University
Title: Assistant Professor
Research Interests: Machine Learning, Computer Vision, Audio Recognition, Text Processing, Robotic Perception, Cognitive Architectures, Data Mining
Research Areas: Artificial Intelligence; Signal and Image Processing; Robotics and Computer Vision.
Areas of Specialty: Machine Learning; Statistical Estimation and Learning; Computer Vision; Healthcare Computing.
 
 
Edwin Olson
Division: CSE
Address: 3737 Beyster Bldg.
Phone: (734) 647-1049
Fax: (734) 763-1260
Email:
Degree: PhD, Massachusetts Institute of Technology
Title: Assistant Professor
Research Interests: Prof. Edwin Olson's interests focus on finding ways for robots to sense and understand their environment while coping with uncertainty and ambiguity. The perception problem is central to a variety of practical applications, from indoor robots that can lead tours or deliver mail to autonomous cars that can navigate urban environments. His work includes both fundamental algorithm research (optimization, state estimation, classification) and system building.
Research Areas: Artificial Intelligence; Robotics and Computer Vision.
Areas of Specialty: Machine Learning; Robotics.
 
 
Necmiye Ozay
Division: ECE
Address: 4229 EECS
Phone: 734-936-0269
Email:
Title: Assistant Professor
Research Interests: Computational aspects of control system design; hybrid and cyber-physical systems; system identification and validation; dynamics-based data analysis
Research Areas: Control Systems; Robotics and Computer Vision.
Areas of Specialty: Discrete Event and Hybrid Systems; Embedded Control Systems; Nonlinear Control; Cyber-Physical Systems.
 
 
Shai Revzen
Division: ECE
Address: 4225 EECS
Phone: (734) 763-3561
Email:
Degree: PhD University of California, Berkeley
Title: Assistant Professor; Assistant Professor in Ecology and Evolutionary Biology
Research Interests: Bio-inspired control; dynamical systems; biomechanics; legged locomotion; modular robotics.
Research Areas: Control Systems; Robotics and Computer Vision.
Areas of Specialty: Discrete Event and Hybrid Systems; Nonlinear Control; Bio-inspired Control; Experimental Robotics.