Data Science

Data science is a growing field of understanding the world through data mining and deep learning and reasoning/artificial intelligence. Research Themes are Urban Infrastructures, Image Analysis and Computer Vision, Machine learning, Real-time scheduling, Heuristic Problem Solving. Four T/TT and 2 NTT Teaching faculty have at least a 50% commitment in Data Science. The work is funded by NSF, Dept of Transportation, DOE, and some industrial support ($1.7M).  Recent awards to junior faculty have increased this figure.

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Interested in discussing the research we are working on or learning more? Please contact:

Dr. Jennifer Leopold

Associate Professor

Areas of Interest

Qualitative Spatial Reasoning, Programming Languages, Scientific Visualization, Ontologies, Database Accessessibility and Analysis

Dr. Ricardo Morales

Assistant Teaching Professor

Areas of Interest

Introduction to Programming with C++, Data Structures, Discrete Mathematics For Computer Science, and Algorithms

Dr. Venkata Sriram Siddhardh Nadendla

Assistant Professor

Areas of Interest

Cyber-Physical-Human Systems; Statistical Inference & Machine Learning; Nudge & Persuasion; Security, Fairness, Transparency and Trust

Dr. Chaman Sabharwal

Professor

Areas of Interest

Spatial Reasoning, Graphics, Robotics, Vision and Parallel Algorithms