Kannan Ramchandran Division of Computer Science (EECS) Division of Electrical Engineering (EECS) statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
Avideh Zakhor Division of Electrical Engineering (EECS) signal processing, image processing, computer vision, Deep Learning
Preeya Khanna Dept of Neuroscience Division of Electrical Engineering (EECS) biosystems and computational biology, human-computer interaction, signal processing
Borivoje Nikolic Division of Electrical Engineering (EECS) digital integrated circuits, VLSI implementation of communications, signal processing systems
Aaron Parsons Dept of Astronomy cosmic reionization, experimental cosmology, radio interferometry, digital signal processing, observational astrophysics
Chunlei Liu Division of Electrical Engineering (EECS) brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing
Ren Ng Division of Computer Science (EECS) imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Gopala Krishna Anumanchipalli Division of Computer Science (EECS) biosystems and computational biology, artificial intelligence, cyber-physical systems and design automation, human-computer interaction, signal processing, intelligent systems and robotics
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Sandrine Dudoit Dept of Statistics School of Public Health statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Oscar Dubon Dept of Materials Science and Engineering magnetic, optical materials, processing, properties in electronic
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Alistair Sinclair Dept of Statistics Division of Electrical Engineering (EECS) algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
Jiyun Kang Dept of Materials Science and Engineering physical metallurgy, manufacturing, autonomous metal processing, correlative microscopy
Kunxin Luo Dept of Molecular & Cell Biology signal transduction pathways, mechanisms controlling the receptor kinases, regulation of mammary epithelial cell differentiation, breast carcinogenesis
Jay T. Groves Dept of Chemistry physical chemistry, intracellular signal transduction mechanisms, physical chemistry of cell membranes, single molecule imaging, stochastic processes
Karthik Shekhar Dept of Chemical & Biomolecular Engineering cellular and systems biology, statistical inference, single-cell genomics
Kannan Ramchandran
Kannan Ramchandran
Kannan Ramchandran
