Affiliated Faculty – CENTER FOR DATA SCIENCE

Professor

Correctness, reliability, security, and high performance, concurrency and parallelism applications, statistical approaches to correct performance, and data errors

Associate Professor

software trace analysis, data-based software documentation inference,data-driven automatic software repair, software security, cloud systems

Research Associate Professor

AI and its applications, computer vision, deep learning, natural language processing, search and recommendation

Assistant Professor

reinforcement learning, decision making, robotics, AI safety

Professor Emeritus

verification and requirements engineering for human-intensive systems, techniques for detecting errors and safety and security vulnerabilities in complex processes in domains such as healthcare and digital government

Bruce Croft

Distinguished University Professor

information retrieval, search engines and digital libraries

Yanlei Diao

Associate Professor

information infrastructures and data management systems, big data systems, data stream systems, interactive data exploration, high-performance genomic data processing

Justin Domke

Assistant Professor

machine learning, probabilistic graphic models, convex optimization, structured learning

Madalina Fiterau Brostean

Assistant Professor

machine learning, ensembles, multimodal data fusion, hybrid models, healthcare applications

Deepak Ganesan

Associate Professor

platforms and algorithms for mobile and wearable health sensing, learning and inference on multi-modal sensor data, micro-powered sensors

Przemyslaw Grabowicz

Research Assistant Professor

computational social science, social computing systems, machine learning, causality, network science

Peter Haas

Professor

Information management; mining, analytics, and exploration of massive data; probabilistic database systems; machine learning; modeling and computer simulation of complex stochastic systems.

Mohammad Hajiesmaili

Research Assistant Professor

rigorous system design using optimization, learning, and algorithmic tools, with applications to computer networks, energy, and cyber-physical systems

Mohit Iyyer

Assistant Professor

Deep neural networks for traditional natural language processing tasks

David Jensen

Professor

causal modeling, fraud detection, social network analysis, computational social science, directed graphical models, statistical relational learning

Evangelos Kalogerakis

Assistant Professor

visual content creation, 3D modeling, shape analysis and synthesis, surface reconstruction from 3D data, animation, machine learning for computer graphics, artistic rendering

Andrew Lan

Assistant Professor

personalized education, convex optimization, probabilistic models, machine learning, signal processing

Erik Learned-Miller

Professor

computer vision, machine learning, probabilistic and statistical methods in vision and image processing, non-parametric statistics, information theoretic methods, unsupervisedlearning

Brian Levine

Professor

networking and security, including digital forensics, mobile networking, privacy, and digital forensics

Narges Mahyar

Assistant Professor

Human-Computer Interaction (HCI), Information Visualization, Digital Civics, Social Computing, Crowdsourcing, Design Thinking

Subhransu Maji

Assistant Professor

computer vision, recognition, grouping, segmentation, human computation and statistical learning

Benjamin Marlin

Associate Professor

machine learning, graphical models, approximate inference and learning

Arya Mazumdar

Assistant Professor

machine learning, information theory, coding theory

Andrew McCallum

Distinguished Professor

machine learning, information extraction, information integration, natural language processing, distributed representations, social network analysis, scalable parallel-distributed machine learning, scientometrics, open peer review

Andrew McGregor

Associate Professor

theoretical computer science

Alexandra Meliou

Assistant Professor

data and information management, provenance, causality, and reverse data management, intersection of database systems and business intelligence applications, optimization problems over large data

Gerome Miklau

Professor

Data mining, modeling, and analysis in the presence of privacy constraints; data protection through access control and auditing; market-based approaches to data sharing and resource allocation in the cloud; data provenance

Eliot Moss

Professor

machine learning, programming language implementation and computer architecture, particularly memory management; analyze and extract information from program traces; application of chaos theory

Cameron Musco

Assistant Professor

Algorithm design and analysis, large scale data analytics, randomization in computation, theoretical computer science, numerical linear algebra, machine learning & data science, biological distributed algorithms