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Welcome to my website. My name is Albert S. Berahas and I am an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan

My research focuses on designing, developing, analyzing and implementing algorithms for solving large scale nonlinear optimization problems. Such problems are ubiquitous, and arise in a plethora of areas such as engineering design, economics, transportation, robotics, machine learning and statistics. Specifically, I am interested in and have explored several sub-fields of nonlinear optimization such as: (i) general nonlinear optimization algorithms, (ii) optimization algorithms for machine learning, (iii) constrained optimization, (iv) stochastic optimization, (v) derivative-free optimization, and (vi) distributed optimization. I am affiliated with the Michigan Institute for Data Science (MIDAS) and with the Michigan Institute for Computational Discovery and Engineering (MICDE).

Email: aberahas@umich.edu, albertberahas@gmail.com

Office: 2783 IOE Building, 1205 Beal Avenue Ann Arbor, MI 48109 (map)

Quick Links: Full CV, Bio, Google Scholar, arxiv, LinkedIn


Announcements

I am looking for outstanding and highly motivated PhD students and Postdoctoral Research Fellows to join my team. If interested, please send me an email with your CV, and apply to our PhD program.


News

  • December 2021: Invited to be the co-chair of the Nonlinear Optimization cluster for the ICCOPT 2022 conference (International Conference on Continuous Optimization)
  • October 2021: Very interesting presentations in the Nonlinear Optimization cluster at the INFORMS Annual Meeting 2021; Thank you to all the speakers and session organizers.

(For the full list of news please check the News tab.)