Mikhail Bragin

University of Connecticut

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University of Connecticut


Assistant Research Professor at the Electrical and Computer Engineering at the University of Connecticut. At the core of my research interests is the development of advanced mathematical mixed-integer optimization methods with analytically proven convergence and empirically verifiable fast performance with applications to problems in multiple disciplines such as smart power grids and smart manufacturing scheduling to address complex technical and societal challenges. Accordingly, my research is at the intersection of operations research, discrete optimization, systems theory, power engineering, computer science and applied mathematics. Especially interesting are unconventional synergies of “classical” and “quantum” methods as well as machine learning approaches.