Short Biography

Haibo Yang is an Assistant Professor in the Dept. of Computing and Information Sciences Ph.D. at Golisano College of Computing and Information Sciences in Rochester Institute of Technology. He received his Ph.D degree from the Dept. of Electrical and Computer Engineering at Ohio State University, advised by Prof. Jia(Kevin) Liu.

Immediate openings for fully funded Ph.D. students:

Openings for Ph.D. students and interns are available and expected to be filled as early as Spring 2025 or Fall 2025. Students with strong backgrounds in statistics, mathematics, optimization, computer science, electrical engineering and physics are encouraged to apply. Please drop me an email if you are interested in working with me!

Research Interests

My research generally centers around distributed/federated learning. More specifically, I am interested in providing fundamental understandings of how distributed/federated learning algorithms are influenced by statistical variability and system variability due to privacy, communication and other constrains. Inspired by the theoretical insights, I am seeking to develop intelligent and efficient algorithms to better fit large-scale distributed/federated system.

  • Optimization algorithms.
  • Communication-Efficient Distributed/Federated Learning.
  • Robust Machine Learning.