Hulya Seferoglu
Associate ProfessorDepartment of Electrical and Computer EngineeringUniversity of Illinois Chicago
Contact
Department of ECE (MC 154)1037 SEO, 851 S Morgan St., Chicago, IL, 60607Phone: (312) 413-7573E-mail: hulya{at}uic.eduOffice hours: by appointmentBiography
Hulya Seferoglu is an Associate Professor in the Electrical and Computer Engineering Department of University of Illinois at Chicago. Before joining University of Illinois at Chicago, she was a Postdoctoral Associate at Massachusetts Institute of Technology. She received her Ph.D. degree in Electrical and Computer Engineering from University of California, Irvine, M.S. degree in Electrical Engineering and Computer Science from Sabanci University, and B.S. degree in Electrical Engineering from Istanbul University. She worked as a summer intern in AT&T Labs Research, Docomo USA Labs, and Microsoft Research, Cambridge. She served as associate editors for IEEE Transactions on Mobile Computing (2022-current) and IEEE/ACM Transactions on Networking (2017–2021). She received the NSF CAREER award in 2020. Her CV is here.
Recent News
04/18, 2024, We presented our work on "Efficient Coded Multi-Party Computation at Edge Networks” in IEEE ICASSP as an SPS Journal Presentation, Seoul, South Korea, April 2024.
01/06/2024, Our work on "DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates," is accepted by IEEE Transactions on Machine Learning in Communications and Networking.
10/04/2023, Our work on "Efficient Coded Multi-Party Computation at Edge Networks," is accepted by IEEE Transactions on Information Forensics & Security.
09/26/2023, Elahe Vedadi defended her Ph.D. thesis. Congratulations!
09/25/2023, Pengzhen Li defended his Ph.D. thesis. Congratulations!
06/19/2023, Our work on "Fast and Communication Efficient Decentralized Learning with Local Updates," is accepted by FL-ICML 2023.
05/24/2023, Our work on “Random Walking Snakes for Decentralized Learning at Edge Networks,” is accepted by IEEE LANMAN 2023.
05/17/2023, Our work on “Adaptive and Resilient Model-Distributed Inference in Edge Computing Systems,” is accepted by IEEE Open Journal of the Communications Society.