Hulya Seferoglu 

Hulya Seferoglu
Associate Professor
Department of Electrical and Computer Engineering
University of Illinois at Chicago

Department of ECE (MC 154)
1037 SEO, 851 S Morgan St., Chicago, IL, 60607
Phone: (312) 413-7573
E-mail: hulya{at}
Office hours: by appointment


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 serves as an associate editor for IEEE/ACM Transactions on Networking (2017–2021). She received the NSF CAREER award in 2020.

Recent News

  • 08/16/2021, Our paper on “Adaptive and Heterogeneity-Aware Coded Cooperative Computation at the Edge,” is accepted by IEEE Transactions on Mobile Computing.

  • 07/02/2021, Our paper on “Coded Privacy-Preserving Computation at Edge Networks,” is accepted by ICML 2021 Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning.

  • 06/06/2021, Our paper on “Model-Distributed DNN Training for Memory-Constrained Edge Computing Devices,” is accepted by LANMAN, 2021.

  • 04/30/2021, Two papers are accepted by IEEE ISIT 2021.

— E. Vedadi, H. Seferoglu, “Adaptive Coding for Matrix Multiplication at Edge Networks,” in IEEE ISIT, Virtual, July 2021.

— J. Denis, H. Seferoglu, “Efficient network coding scheme for disjoint clusters of D2D networks and cellular communications,” in IEEE ISIT, Virtual, July 2021.

  • 04/23/2021, Our paper on “Resilient Communication for First Responders in Disaster Management,” is accepted by ISCRAM, 2021.

  • 04/17/2021, Our paper on “Secure Coded Computation for Efficient Distributed Learning in Mobile IoT,” is accepted by IEEE SECON, 2021.

  • 01/29/2021, Our paper on “ResPipe: Resilient Model-Distributed DNN Training at Edge Networks,” is accepted by IEEE ICASSP, 2021.