Erchin Serpedin

Educational Background

Ph.D., Electrical Engineering, University of Virginia – 1999
M.S., Electrical Engineering (DSP and Telecommunications), Georgia Institute of Technology
Specialization Degree, Transmission and Processing of Information, École Supérieure d'Électricité (Supélec), Paris, France.
D.E.E., Polytechnic Institute of Bucharest

Best Paper Award, Institute of Electrical and Electronics Engineers (IEEE) International Conference on Communications – 2019
Best Column Award, IEEE Signal Processing Magazine – 2018
Best Paper Award, Globecom-Global Communications Conference – 2014

Keçeci, M. Shaqfeh, F. Al-Qahtani, M. Ismail and E. Serpedin, "Clustered Scheduling and Communication Pipelining for Efficient Resource Management of Wireless Federated Learning," in IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13303-13316, 1 Aug.1, 2023.
A. Takiddin, M. Ismail, U. Zafar and E. Serpedin, "Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids," in IEEE Systems Journal, vol. 16, no. 3, pp. 4106-4117, Sept. 2022.
O. Boyaci, M. R. Narimani, K. R. Davis, M. Ismail, T. J. Overbye and E. Serpedin, "Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks," in IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 807-819, Jan. 2022.
A. Takiddin, M. Ismail, U. Zafar and E. Serpedin, "Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids," in IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 2675-2684, May 2021.
O. Boyaci, E. Serpedin, and M. A. Stotland, “Personalized quantification of facial normality: a machine learning approach,” Nature-Scientific Reports, 2020 Dec 7; 10 (1): 21375.