Department of Computer Science and Engineering

Shekhar's research and teaching interests include spatial computing, spatial data science, spatial data mining, spatial databases and Geographic Information Systems (GIS). His contributions include scalable algorithms for eco-routing, evacuation route planning and spatial pattern (e.g., colocation, statistically significant hotspots, spatial variability aware neural networks) mining, along with an Encyclopedia of GIS, a Spatial Databases textbook, and…

Schrater's domain is in the development of predictive models of human behavior, with a focus on perception, action, decision-making, learning and motivation. The approach is rooted in the idea that human behavior is a rational adaptive response to the problems of surviving and reproducing in our environment given limited information. He uses probabilistic methods like hierarchical probabilistic models, Bayesian Reinforcement learning, Bayesian…

Sattar’s primary research focus is on making robots work safely and intuitively with people, so humans and robots can coexist and collaborate. This means looking into improving a robot's perception about people, their intentions, and/or actions, engaging in dialog, as well as the environment. Perceiving the world robustly, particularly under changing and degraded conditions is an open challenge; this research interest extends into multi-modal sensory…

Qian’s research interests cover the broad areas of intelligent mobile systems (including 5G), virtual, augmented, and mixed reality (VR/AR/MR) systems, cross-layer system design and analysis, application and transport layer protocols, real-world system measurement, and system security.

Research Division
Computing Systems

Current Research
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Park's research aims to develop computational social intelligence—an ability to perceive, model, and predict such visual social signals. His current research interests include human interaction by sending visible social signals, such as gaze movements, facial expressions, and body gestures.

Research Areas
Robotics and Artificial Intelligence

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Papanikolopoulos' research interests include robotics, sensors for transportation applications, computer vision, and control systems.

Research Division
Robotics and Artificial Intelligence

Current Research
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Nadathur's research and teaching focuses on the foundational aspects of computer science. He has taught courses on programming languages and programming principles, compilation, logic, and computability theory. His research has spanned topics in computational logic, structural proof theory, and logic based programming languages and their implementation. At a practical level, he has collaboratively developed implementations of languages and proof…

Myers' research focuses on machine learning approaches for integrating diverse genomic data to make inferences about biological networks. The main purpose of the work is to further understanding of gene function and how genes or proteins interact to carry out cellular processes.

Research Division
Data Science and Machine Learning

Current…

Mokbel's research is at the intersection of database systems and spatial communities. He designs new algorithms and develops system modules that inject spatial awareness in various systems, including database systems, big data systems, knowledge-base systems, recommender systems, and machine learning systems. He builds systems that are tailored to support important applications that heavily rely on spatial data, including urban computing,…

Prof. McCamant's research focuses on applications of program analysis for software security and correctness. Much of his work analyzes software at the binary (executable) level, and uses decision procedures and symbolic execution. Application areas of his work include binary transformation, instruction-level hardening and isolation, dynamic binary translation, information flow, and taint analysis.

Research Division
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