Research

Autonomous & Intelligent Robotics Laboratory (AIR Lab)

Developing theoretical & computational foundations to achieve long-term robot autonomy

Explainable Graph Learning

Focus on problems in the smart electric grid where much of the data infrastructure is in place & evaluation of developed methodologies

FinTech and Blockchain

Advancing blockchain technology for business-scale performance with attention to privacy, transparency, and regulatability.

Large Language Models (LLMs)

This research group consists of interdisciplinary researchers who are interested in exploring various research topics related to large language models and vision language models.

Quantum Computing & Optimization Lab (QCOL)

Quantum Computing has the potential to solve problems faster than classical supercomputers. This capability can change our world by enabling new methods to decrypt data, faster molecular analysis to design better drug treatments and to solve complex optimization problems rapidly.

Scalable Systems & Software

Developing software & hardware to maximize performance and reduce energy consumption in multi-core & distributed systems

Computational Social Science (CSS)

Computer Vision

Developing novel computationally efficient computer vision algorithms for visual understanding, forensic analysis, real/fake image/video detection, and AI-assisted healthcare

Human Centered Computing

As humans face a growing reliance on computer-mediated behaviors of all sorts, the need for smarter human-technology interfaces is growing

Machine Learning in Materials Science

Use of machine learning & deep learning for modeling complex physical systems of materials & chemical processes

Mathematical Optimization & Data Science (MODS)

Research on mathematical optimization, which involves the development of mathematical & computational tools that facilitate discovery, design, and decision-making throughout science, engineering & business