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Research

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.

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.

Reinforcement Learning

Machine learning paradigm for sequential decision making.

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.