Albert S. Berahas

About

Albert S. Berahas is an Assistant Professor at the University of Michigan in the United States. His research focuses on nonlinear equality-constrained stochastic optimization, distributed Bayesian optimization, and decentralized optimization methods. He has contributed to various recent articles, exploring topics such as gradient tracking algorithms, trust-region methods, and derivative-free optimization techniques.