Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Kameshwar Poolla Dept of Mechanical Engineering Division of Electrical Engineering (EECS) modeling, control, estimation, smart grids, renewable energy, electricity markets, transportation networks, integrated circuit design and manufacturing
Richard Stanton Haas School of Business mortgage markets, prepayment modeling, valuation, hedging, term structure modeling valuation of derivative securities, application of non-parametric estimation techniques, pricing of derivatives
Barbara Romanowicz Dept of Earth and Planetary Science earth & planetary science, deep earth structure & dynamics, earthquake processes & scaling laws, real time estimation of earthquake parameters, development of modern broadband seismic and geophysical observatories, planetary seismology
Avideh Zakhor Division of Electrical Engineering (EECS) signal processing, image processing, computer vision, Deep Learning
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Xiao-Jun Zhang Haas School of Business security valuation, financial statement analysis, accounting theory, corporate disclosure, auditing, international accounting, machine learning and asset pricing
Sophia Rabe-Hesketh School of Education biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems