Institute for Data, Intelligent Systems, and Computation

Research

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Artificial Intelligence & Machine Learning
Focus on applying AI/ML methodologies in various engineering applications.
Computer Vision
Developing novel computationally efficient computer vision algorithms for visual understanding, forensic analysis, real/fake image/video detection, and AI-assisted healthcare
Data-Driven Inference & Control of Dynamic Systems
New initiative - focus on problems in the smart electric grid where much of the data infrastructure is in place & evaluation of developed methodologies.
FinTech and BlockChain
Use of machine learning for automated comparison & consistency and regulatory compliance & enforcement.
Human-Centered Computing
NEW
Machine Learning in Materials Science
Use of machine learning & deep learning for modeling complex physical systems of materials & chemical processes.
Operations Research & Machine Learning
Advancing the state-of-the-art in the intersection between operations research & machine learning, deep learning, and reinforcement learning.
Probabilistic Modeling
Developing innovative approaches in probabilistic analysis & transferring methodologies from one field to another.
Quantum Computing
NEW GROUP - Quantum Computing has the potential to solve problems faster than classical supercomputers.
Robotics
Developing theoretical & computational foundations to achieve long-term robot autonomy.
Scalable Systems Software
Developing software and hardware to maximize performance and reduce energy consumption in multi-core and distributed systems.