Published papers in IEEE Transactions on Systems, Man and Cybernetics: Systems and IEEE Transactions on Power Systems; Gave talks at INFORMS, IISE, and IEEE Blockchain; Won the 2020 Institute of Information Security and Privacy (IISP) Demo Day Commercialization Track award.
Research Experience
NASA HOME Postdoctoral Fellow at Georgia Tech’s School of Industrial and Systems Engineering, working on using Vertical Federated Learning for future habitats on Mars; Interned at NEC Labs America, working on decentralized blockchain algorithms for large-scale Federated Learning.
Education
PhD in Computational Science and Engineering from Georgia Tech, co-advised by Prof. Nagi Gebraeel (Industrial Engineering) and Prof. Edmond Chow (Computational Science). Master's degree in Computer Science from Georgia State University, advised by Prof. Wenzhan Song.
Background
Assistant Professor in the School of Industrial Engineering and Management at Oklahoma State University. Research interests include asynchronous solutions to large-scale decentralized optimization problems with applications to power systems, machine learning, and linear solvers. Also explored the use of blockchain as a decentralization tool.