Babak Hassibi

Babak Hassibi is a Professor of Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). He obtained his B.S. from the University of Tehran (1989), M.S. and Ph.D. from Stanford University (1993, 1996), and has held positions at Caltech since 2001, including roles as Assistant Professor, Associate Professor, Professor, and Executive Officer.

• Education:
  • University of Tehran, B.S. (1989)
  • Stanford University, M.S. and Ph.D. (1993, 1996)
• Academic Roles:
  • Assistant Professor, Caltech (2001–03)
  • Associate Professor (2003–08)
  • Professor (2008–13)
  • Binder/Amgen Professor (2013–16)
  • Bohn Professor (2016–)
  • Executive Officer for Electrical Engineering (2008–15)
  • Associate Director for Information Science and Technology (2010–12)

Research Interests: Babak Hassibi’s work spans Communications, Signal Processing, Control Theory, and Machine Learning. He has contributed to wireless networks, genomic signal processing, multi-antenna systems, robust control, and high-dimensional statistics. His mathematical interests include Random Matrices and Group Representation Theory.

Recent Publications highlight his focus on Adaptive Control, Stochastic Optimization, and Quantum Detection. Notable trends include Regret-Optimal Control, Stochastic Mirror Descent, and DNA Microarray Applications.

Scientific Awards:

• Highly Cited Researcher

Advising and Grants: He has advised numerous graduate students and postdocs, many of whom now hold prominent positions at institutions like MIT, USC, and Stanford. His research includes collaborations on patents and projects related to Wireless Communications and Genomic Technologies.

Labs and Teams: Leads the Hassibi Group at Caltech, which explores nonlinear photonic systems, ultrafast optics, and quantum information processing.