Artificial Intelligence (AI) research at the University of Michigan comprises a multidisciplinary group of researchers conducting theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision making, distributed systems of multiple agents, machine learning, reinforcement learning, cognitive modeling, game theory, natural language processing, machine perception, healthcare computing, and robotics.
Research in artificial intelligence tends to be highly interdisciplinary, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and philosophy. In pursuing this approach, faculty and students work closely with colleagues throughout the University. This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.
CSE Faculty
Nikola Banovic
WebsiteMentoring PlanComputational Interaction, Human-centered Explainable AI, Behavior-aware InterfacesSatinder Baveja
WebsiteReinforcement Learning, Machine Learning, Computational Game Theory, Adaptive Human Computer Interaction.Elizabeth Bondi-Kelly
WebsiteMentoring PlanMulti-agent systems, human-AI collaboration, and machine learning for social impact.Joyce Chai
WebsiteMentoring PlanNatural language processing, language grounding to vision and robotics, situated human-machine communication, interactive task learning.Mithun Chakraborty
WebsiteMulti-Agent Systems, Computational Economics, Algorithmic Game Theory and Mechanism Design, Fair Allocation, Collective Forecasting.Michał Dereziński
WebsiteMentoring PlanMachine learning and statistical learning theory, scalable stochastic and distributed optimization, randomized numerical linear algebra, dimensionality reduction.Benjamin Fish
WebsiteMentoring PlanFoundations of algorithmic fairness, ethics and justice in machine learning, theory of machine learning, learning with social context.Anhong Guo
WebsiteMentoring PlanHuman-computer interaction, artificial intelligence, accessibility, augmented reality, human-AI interactionWei Hu
WebsiteMentoring PlanTheoretical foundations of machine learning, including deep learning, representation learning, and optimization.Ryan Huang
WebsiteMentoring PlanOperating systems, distributed systems, cloud and mobile computing, software dependability, program analysis.Dhruv Jain
WebsiteMentoring PlanAccessibility, Human Computer Interaction, Sound Design, Augmented & Virtual Reality.David Jurgens
WebsiteMentoring PlanNatural language processing, Generative AI, Computational social science, CrowdsourcingDanai Koutra
WebsiteMentoring PlanData mining, graph summarization and visualization, and applied machine learning.Honglak Lee
WebsiteMentoring PlanMachine Learning, Deep Learning, Artificial Intelligence, Computer VisionYatin Manerkar
WebsiteMentoring PlanFormal methods (modeling, verification, and synthesis) for hardware and software, hardware security, memory consistency, cache coherence, concurrency, ethical AI.Jason Mars
WebsiteMentoring PlanCross-layer systems architectures for emerging applications, datacenter and warehouse-scale computer architecture, and hardware / software co-design.Rada Mihalcea
WebsiteMentoring PlanNatural language processing, computational social sciences, multimodal tracking and understanding of human behavior.Emily Mower Provost
WebsiteMentoring PlanAudio-visual modeling of human behavior focusing on emotion. Focus on assistive speech-based technologies.Barzan Mozafari
WebsiteMentoring PlanLarge-scale data-intensive systems, database-as-a-service clouds, distributed systems, and crowdsourcing.Jeong Joon Park
WebsiteMentoring PlanComputer vision; computer graphics; 3D reconstruction and generative models; applications of vision and graphics to robotics, medical imaging, and scientific problems.Gokul Ravi
WebsiteMentoring PlanQuantum computing: Application-tailored full-stack optimization, Hardware-tailored error mitigation, Hybrid quantum-classical systems, Quantum error correction decoding, Classical simulation for quantum, Resource management (e.g., in the quantum cloud), Scalable quantum compilers; Computer architecture and systems; ML-assisted systems, Accelerating scientific applications.Alexander Rodríguez
WebsiteMentoring PlanArtificial intelligence, machine learning, multi-agent systems, computational epidemiology, public health.Karem Sakallah
WebsiteMentoring PlanComputer-aided design of electronic systems, Boolean satisfiability, discrete optimization, and hardware and software verification.Muhammad Shahbaz
WebsiteMentoring PlanComputer Systems, Networks, and Architecture and their interaction with Machine Learning.Ke Sun
WebsiteMentoring PlanMobile computing, Human-computer interaction, embedded systems, and IoT security and privacy, with the vision of developing intelligent, cost-effective, deployable, human-centric, and trustworthy mobile, wearable, and IoT systems.Lingjia Tang
WebsiteMentoring PlanComputer architecture and compiler and runtime systems, especially such systems for large scale data centers.Georgios Tzimpragos
WebsiteMentoring PlanComputer architecture, new models of computation, computing with emerging devicesLu Wang
WebsiteMentoring PlanNatural language processing, computational social sciences, machine learningXinyu Wang
WebsiteMentoring PlanProgramming Languages, Formal Methods, Software Engineering. Program synthesis, verification, analysis, and testing.Xu Wang
WebsiteMentoring PlanHuman-computer interaction, artificial intelligence in education, computer supported collaborative learning and work, human-AI interaction, learning sciences and technologies, cognitive science.Stella Yu
WebsiteMentoring PlanI study visual perception from multiple perspectives: human vision, computer vision, robotic vision, and artistic vision. To me, visual perception presents not just a fascinating computational problem, but more importantly an intelligent solution for large-scale data mining and pattern recognition applications.ECE Faculty
Laura Balzano
WebsiteStatistical signal processing, machine learning, numerical linear algebra, and optimization theory and methods for dealing with large complex data.Jason Corso
WebsiteComputer vision, robotics, artificial intelligence.Jeffrey Fessler 
WebsiteMentoring PlanStatistical signal and image processing; Tomographic imaging; Parameter estimation; machine-learning methods for inverse problems.Jun Gao 
WebsiteComputer vision, 3D generative AI, computer graphics, machine learning.Alfred Hero
WebsiteTheory 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.Clayton Scott
WebsiteMachine learning theory, methods, and applications.Courtesy and Affiliated Faculty
Chad Jenkins
WebsiteHuman-robot interaction, including exploration of methods that enable robots to learn human skills.Jie Liu
WebsiteBioinformatics, Machine LearningQiaozhu Mei
WebsiteInformation retrieval, text mining, social network analysis, and biomedical informatics