Interested AI Mentors List

Name	Title	Primary Department:	Tagline:
Mark Ackerman	George Herbert Mead Collegiate Professor	School of Information; Electrical Engineering and Computer Science, College of Engineering; Learning Health Sciences, Medical School	Computer-supported cooperative work, human-computer interaction, social computing
Fadhl Alakwaa	Assistant Research Scientist	Internal Medicine	Machine learning, personalized medicine, predictive modeling
Karen Alofs	Assistant Professor	School for Environment and Sustainability	Integrating data on environmental change and ecological communities
Camille Avestruz	Assistant Professor	Physics, LSA	Simulations to model, predict, and interpret observed large-scale cosmic structures
Laura Balzano	Associate Professor	EECS, College of Engineering	Statistical signal processing and optimization with large data.
Nikola Banovic	Associate Professor	Computer Science and Engineering, College of Engineering	Behavior-aware User Interfaces, Computational Interaction, Computational models of human behavior
Kira Barton	Associate Professor, Director of COE Research	Mechanical Engineering and Robotics, College of Engineering	Control theory and applications; iterative learning control; multi-agent systems; human/robot collaborations; smart manufacturing; manufacturing robotics; high-performance micro/nano-scale printing for electrical and biomedical applications
Erhan Bayraktar	Professor	Mathematics, LSA	Mathematical finance and stochatic analysis
Eric Bell	Arthur F. Thurnau Professor	Astronomy, LSA	Galaxy evolution, machine learning in merger inference and star-galaxy separation
Dennis Bernstein	James E Knott Professor	Aerospace Engineering, College of Engineering	Linear and nonlinear systems, identification, optimal, robust and adaptive control
Anthony Bloch	Alexander Ziwet Collegiate Professor	Mathematics, LSA	Control, Hamiltonian and Lagrangian Systems, gradient flows
Elizabeth Bondi-Kelly	Assistant Professor	Computer Science and Engineering, College of Engineering	AI for social impact (especially health and conservation)
Christopher Brooks	Research Assistant Professor	School of Information Director, Learning Analytics and Research in the Office of Digital Education & Innovation	Visualizing the interaction between learners and learning technology
Ceren Budak	Assistant Professor	School of Information	Computational social science
Dallas Card	Assistant Professor	School of Information	Natural language processing, and computational social science, machine learning
Neil Carter	Associate Professor	Environment, School for Environment and Sustainability	Addressing challenging local to global wildlife conservation issues in the Anthropocene
Timothy Cernak	Associate Professor	Medicinal Chemistry	Computational design of chemical reactions and synthesis
Joyce Chai	Professor	Computer Science and Engineering, College of Engineering	Artificial Intelligence, Natural language processing, situated communication
Yang Chen	Assistant Professor	Statistics, LSA	Statistical inference and applied statistics in biology and astronomy
Cynthia Chestek	Associate Professor and Associate Chair	Biomedical Engineering, College of Engineering and Medical School, EECS, College of Engineering	Brain machine interface (BMI) systems
Mosharaf Chowdhury	Morris Wellman Faculty Development Assistant Professor	EECS (Computer Science and Engineering Division), College of Engineering	Large-scale systems for emerging machine learning and big data workloads
Kevyn Collins-Thompson	Associate Professor	School of Information, EECS, College of Engineering	Intelligent information systems that help people learn and discover
William Currie	Associate Dean of Research and Engagement, Professor of Environment and Sustainability, Professor of Environment	Research and Engagement, School for Environment and Sustainability, LSA	Ecosystem modeling, sustainability, water quality, knowledge representation
Matias del Campo	Associate Professor	Taubman College of Architecture and Urban Planning	Research on Architecture Design and Artificial Intelligence
Michał Dereziński	Assistant Professor	EECS, College of Engineering	Scalable randomized algorithms with robust statistical guarantees for machine learning, data science and optimization
Ivo D. Dinov	Professor	Computational Medicine and Bioinformatics	Mathematical modeling, statistical analysis and data visualization
Karthik Duraisamy	Associate Professor	Aerospace Engineering, College of Engineering	Data-driven modeling of computational physics problems
August (Gus) Evrard	Professor	Physics and Astronomy, LSA	Computational cosmology
Salar Fattahi	Assistant Professor	Industrial and Operations Engineering, College of Engineering	Developing efficient and scalable computational methods for structured problems
Jeff Fessler	Professor	EECS, College of Engineering Biomedical Engineering, College of Engineering Radiology, Michigan Medicine	Large-scale inverse problems in image reconstruction
Danny Forger	Professor	Mathematics, LSA Center for Computational Medicine and Bioinformatics Center for Systems Biology	Computer simulation and mathematical modeling of biological clocks
Johann Gagnon-Bartsch	Assistant Professor	Statistics, LSA	High-throughput and high-dimensional data analysis
Vikram Gavini	Professor	Mechanical Engineering	Ab-initio calculations, DFT, electronic structure, exchange-correlation approximation, numerical methods
Alex Gorodetsky	Associate Professor	Department of Aerospace Engineering	Bayesian Inference, Decision making under uncertainty, Tensor Networks, Uncertianty Quantification
Robert Gregg	Associate Professor and Director of Locomotor Control Systems Laboratory	Robotics, EECS (ECE Division), and Mechanical Engineering, College of Engineering	Control mechanisms of bipedal locomotion with applications to wearable and autonomous robots
Yuanfeng Guan	Professor	Computational Medicine and Bioinformatics and Internal Medicine; Medical School	Developing novel and high-accuracy algorithms that integrate these data for predicting gene functions and networks
Emanuel Gull	Assistant Professor	Physics, LSA	Computational condensed matter physics
Yongqun Oliver He	Professor	Laboratory Animal Medicine and Veterinarian, Medical School	AI Expertise: Knowledge representation and reasoning; Ontology; Semantic Web.
Libby Hemphill	Research Associate Professor	School of Information	digital data, justice, social media
Alfred Hero	Professor	EECS, College of Engineering Biomedical Engineering, College of Engineering Statistics, LSA	Theory and algorithms for data collection, analysis and visualization
Wei Hu	Assistant Professor	Computer Science and Engineering, College of Engineering	Deep Learning
Xun Huan	Associate Professor	Mechanical Engineering, College of Engineering	Uncertainty quantification, and numerical optimization, data-driven modeling
Edward Ionides	Professor	Statistics, LSA	Time series analysis for ecology, epidemiology, health economics and biology
Abigail Jacobs	Assistant Professor	Information, School of Information Complex Systems, College of Literature, Science, and the Arts	Computational social science, empirical design, governance, observational data, social networks, statistical inference
H. V. Jagadish	Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor; MIDAS Director	EECS, College of Engineering	Database systems, query models and analytics processes for reliable insight
David Jurgens	Assistant Professor	School of Information	computational social science and natural language processing
Danai Koutra	Assistant Professor	Computer Science and Engineering, College of Engineering	Mining and making sense of interconnected or graph data
Elizaveta Levina	Vijay Nair Collegiate Professor	Statistics, LSA	Statistical inference on realistic models for network
Max Li	Assistant Professor	Aerospace Engineering, College of Engineering	Air transportation; Air traffic management; Machine learning and optimization
Rebecca Lindsey	Assistant Professor	Chemical Engineering, College of Engineering	Machine Learning & Simulation for Accelerated Materials Design & Discovery
Wei Lu	Professor	Mechanical Engineering, College of Engineering	Energy storage and electrochemistry; machine learning; simulation of nano/microstructure evolution; mechanics in nano/micro systems; advanced manufacturing; mechanical properties and performance of advanced materials and relation to microstructures
Rada Mihalcea	Professor	EECS, College of Engineering	Natural language processing, and applied machine learning, information retrieval
Emily Mower Provost	Assistant Professor	Computer Science and Engineering, College of Engineering	Emotion modeling and assistive technology
Raj Rao Nadakuditi	Associate Professor	EECS, College of Engineering	Statistical signal processing and random matrix theory
Long Nguyen	Professor	Statistics, LSA EECS, College of Engineering	Statistical inference in richly structured data
Gabor Orosz	Professor	Mechanical Engineering	Nonlinear dynamics and control, time delay systems, machine learning, and data-driven systems, connected and automated vehicles, traffic flow
Samet Oymak	Assistant Professor	EECS, College of Engineering	Optimization methods and statistical learning theory to design efficient algorithms/architectures.
Necmiye Ozay	Assistant Professor	EECS, College of Engineering	Heterogeneous data from sensor and information-rich networked dynamical systems
Atul Prakash	Professor	EECS, College of Engineering	Design of operating systems and database mechanisms for sensitive data, Security, and adversarial machine learning., privacy
Qing Qu	Assistant Professor	EECS, College of Engineering	Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning
Majdi Radaideh	Assistant Professor	Nuclear Engineering and Radiological Sciences, College of Engineering	Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization
Venkat Raman	Associate Professor	Aerospace Engineering, College of Engineering	Simulation of large scale combustion systems
Jeffrey Regier	Assistant Professor	Statistics, LSA	Bayesian models and deep learning for scientific applications
Alexander Rodriguez	Assistant Professor	EECS, College of Engineering	The intersection of ML, time series, multi-agent systems, uncertainty quantification, and scientific modeling.
Daniel Romero	Associate Professor	Information, School of Information, Complex Systems, LSA, Electrical and Computer Engineering, College of Engineering	Empirical and theoretical analysis of social and information networks
Sarita Schoenebeck	Professor	School of Information	Human-Computer Interaction, issues in digital society, social computing, social media
Clayton Scott	Associate Professor	EECS, College of Engineering Statistics, LSA	Quantitative predictions and inferences about large, complex data
Kerby Shedden	Professor	Statistics, LSA Biostatistics, School of Public Health Director of Consulting for Statistics, Computing, and Analytics Research (CSCAR)	Applied statistics, data science and computing with data
Katie Skinner	Assistant Professor	Robotics, College of Engineering	Robot vision and perception, field robotics
Vijay Subramanian	Professor	EECS, College of Engineering	Stochastic modeling, decision and control theory and applications to networks
Misha Teplitskiy	Assistant Professor	School of Information	AI for social science (idea generation, evaluation, synthesis)
Jonathan Terhorst	Associate Professor	Statistics, LSA	Computational population genetics
Ambuj Tewari	Assistant Professor	Statistics, LSA EECS, College of Engineering	Statistical methods for sequential decision making in personalized health
Dawn Tilbury	Professor and Chair, Robotics	Robotics	Modeling and control for smart manufacturing, human-robot teaming
Sabina Tomkins	Assistant Professor	School of Information	Computational social science, Political science, education, sustainability
Shravan Veerapaneni	Associate Professor	Mathematics, LSA	Fast and scalable algorithms for differential and integral equations on complex moving geometries
Venkat Viswanathan	Associate Professor	Aerospace Engineering, College of Engineering	Programming languages, formal methods, software engineering, and artificial intelligence
Lu Wang	Assistant Professor	Computer Science and Engineering, EECS	Natural language processing
Xinyu Wang	Assistant Professor	EECS, College of Engineering	Programming languages, formal methods, software engineering, and artificial intelligence
Yixin Wang	Assistant Professor	Statistics, LSA	Large-scale probabilistic machine learning, causal inference, machine learning for science
Michael P. Wellman	Richard H Orenstein Division Chair of Computer Science and Engineering, Lynn A Conway Collegiate Professor	EECS (Computer Science and Engineering division), College of Engineering	Artificial Intelligence, electronic commerce
Jenna Wiens	Associate Professor	Computer Science and Engineering, College of Engineering	Machine learning and data mining for healthcare data
Kevin Wood	Associate Professor	Biophysics and Physics; LSA	Spatiotemporal dynamics in microbial communities
Zhenke Wu	Associate Professor	Biostatistics, School of Public Health	AI for affordable and equitable individualized healthcare; computational and interventional digital health.
Gongjun Xu	Assistant Professor	Statistics, LSA	cognitive diagnosis modeling, high-dimensional statistics, latent variable models, psychometrics, semiparametric statistics
Bing Ye	Professor	Life Sciences Institute	How neurons assemble into neural networks and how defects in this process lead to brain disorders
Lei Ying	Professor	EECS, College of Engineering	Complex stochastic systems and big-data, and large-scale graph mining, private data marketplaces
Y Z (Yang Zhang)	Professor	Nuclear Engineering and Radiological Sciences, College of Engineering	Far-from-equilibrium physics, extreme robots, liquid state physics, long timescale phenomena, neutron scattering, rare events, soft robots, statistical mechanics, swarm robots
Xiang Zhou	Professor	Biostatistics, School of Public Health	Statistical and computational methods for genetic and genomic studies
Ji Zhu	Professor	Statistics, LSA EECS, College of Engineering	analysis of high-dimensional data, and their applications in health sciences, biology, finance and marketing., machine learning, statistical network analysis
Kai Zhu	Associate Professor	School for Environment and Sustainability	Global change biology, ecological modeling, and environmental data science