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University of Michigan

University of Michigan

University of Michigan has 330 faculty across 5 departments on GradNova. 151 researchers hold 189 active NSF grants and 35 active NIH grants totaling $265.9M.

Departments

Computer Science and Engineering
Department of Mechanical Engineering
Department of Electrical and Computer Engineering
Computer Science
Department of Chemical Engineering

Faculty

L
M
Mingyan Liu

Robert J. Vlasic Dean of Engineering; T. C. Chang Professor of Engineering; Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), EECS – Computer Science and Engineering

Department of Electrical and Computer Engineering

University of Michigan

Game Theory and Incentive Mechanisms, With Applications to Large-Scale Networked Systems, Cybersecurity and Cyber Risk Quantification
Performance Modeling
Resource Allocation
Sequential Decision and Learning Theory
+3
J
Jie Liu

Associate Professor of Computational Medicine and Bioinformatics, Medical School; Associate Professor (courtesy), EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Bioinformatics
Machine Learning
Genomics and Chromatin Dynamics
Mesenchymal Stem Cell Research
+3
Q
Q. Vera Liao

Associate Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Algorithmic Fairness
Human-AI Interaction
Human-Computer Interaction
Ethics and Social Impacts of AI
+4
H
Honglak Lee

Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computer Vision
Deep Learning
Machine Learning
Multimodal Machine Learning Applications
+4
E
Euiwoong Lee

Associate Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Approximation Algorithms for Np-Hard Optimization Problems
Computational Complexity
Graph Theory
Optimization
+6
L
Laird, John E.

John L. Tishman Professor Emeritus of Engineering, Professor Emeritus

Computer Science and Engineering

University of Michigan

And Computer Games
Cognitive Architectures
Machine Learning
L
Lafortune, Stéphane

N. Harris McClamroch Collegiate Professor Emeritus of Electrical Engineering and Computer Science, Professor Emeritus

Computer Science and Engineering

University of Michigan

Application to Computer and Communication Systems
Discrete Event Systems
System and Control Theory
K
The Representation of Common Sense and Expert Knowledge
With Particular Emphasis on the Effective Use of Incomplete Knowledge
K
Human Cognition and Performance
Human-Computer Interaction
Natural Language Processing
User Interface Design
K
M
Manos Kapritsos

Associate Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Distributed Systems
Fault Tolerance
Formal Methods
Distributed Systems and Fault Tolerance
+4
D
David Jurgens

Associate Professor, EECS – Computer Science and Engineering; Associate Professor, School of Information

Computer Science and Engineering

University of Michigan

Computational Social Science
Crowdsourcing
Generative AI
Natural Language Processing
+5
J
And Image Generation
Vision and Language
Visual Reasoning
C
Chad Jenkins

Professor, College of Engineering Robotics Institute; Associate Director, Michigan Robotics Institute; Professor (courtesy), EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Human-Robot Interaction, Including Exploration of Methods That Enable Robots to Learn Human Skills
Robotics and Automated Systems
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
J
Jean-Baptiste Jeannin

Associate Professor, Aerospace Engineering; Associate Professor (courtesy), EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Autonomous Vehicle Technology and Safety
Formal Methods in Verification
Logic, Programming, and Type Systems
Logic, Reasoning, and Knowledge
+1
S
Sugih Jamin

Associate Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computer Graphics
Computer Network Protocols and Architectures
Dynamic Behaviors of Large-Scale Systems
Probabilistic Distributed Algorithms
+5
F
Farnaz Jahanbakhsh

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Designing Systems That Give People More Autonomy and Democratize Power That Is Otherwise in the Hands of a Centralized Authority
Social Computing Systems That Have Pro-Social Outcomes, With Applications to Social Media, Education, Collaboration, Social Justice, and Gig Economy
Social Media and Politics
Sentiment Analysis and Opinion Mining
+3
H
H.V. Jagadish

Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science; Edgar F. Codd Distinguished University Professor of Electrical Engineering and Computer Science; Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Bioinformatics
Data Mining
Database Systems
Scientific Computing and Data Management
+3
R
Ryan Huang

Associate Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Cloud and Mobile Computing
Distributed Systems
Operating Systems
Program Analysis
+6
W
Wei Hu

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Large Language Models
Theory and Science of Deep Learning
Concrete and Cement Materials Research
Innovative Concrete Reinforcement Materials
+3
H
Experimental Distributed Systems
A
Alfred O. Hero

John H. Holland Distinguished University Professor of EECS; R. Jamison and Betty Williams Professor of Engineering; Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Biomedical Engineering; EECS – Computer Science and Engineering; Statistics

Department of Electrical and Computer Engineering

University of Michigan

Theory and Algorithms Underlying Data Science and Machine Learning. Theory Includes Applied Probability, Statistical Modeling, and Optimization. Applications Include Complex Networks, Spatio-Temporal Processes, Computational Biology, Personalized Health, and Security.
Sparse and Compressive Sensing Techniques
Distributed Sensor Networks and Detection Algorithms
Statistical Methods and Inference
+2
N
Nicole Hamilton

Lecturer, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

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