Dr. Albert Berahas

Biography

Albert S. Berahas is an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan (U-M). His research broadly focuses on the design of algorithms to solve large-scale nonlinear optimization problems. He received his Ph.D. in Engineering Sciences with a specialization in Applied Mathematics from Northwestern University in 2018, where he also obtained his M.Sc. in the same field. He completed his B.Sc. in Operations Research and Industrial Engineering at Cornell University in 2009. Berahas’s work spans a range of topics in nonlinear optimization, with particular interests in general nonlinear optimization algorithms, optimization algorithms in machine learning, constrained optimization, stochastic optimization, derivative-free optimization, and distributed optimization. His aim is to advance both the theoretical foundations and practical performance of optimization methods across a wide range of applications. Berahas is also an active member of several professional societies including the Institute of Industrial and Systems Engineers (IISE) and the Institute for Operations Research and the Management Sciences (INFORMS).

Research Interests

Awards