• Professor, Electrical & Computer Engineering
Google Scholar Profile
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 in Transmission and Processing of Information, Ecole Superieure d’Electricite (SUPELEC), Paris, France.
  • D.E.E., Polytechnic Institute of Bucharest

Research Interests

    • Signal Processing for wireless communications
    • Machine learning
    • Artificial Intelligence
    • Smart Power Grids
    • Bioinformatics and genomics
    • Cybersecurity

Awards & Honors

  • IEEE ICC 2019 Best Paper Award
  • IEEE Signal Processing Magazine Best Column Award (2018)
  • Globecom 2014 - Global Communications Conference - Best Paper Award
  • IEEE Fellow (2013)
  • TEES Fellow (2005)
  • Outstanding Faculty Award (2004)
  • NSF Career Award (2001)

Selected Publications

  • 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.
  • M. Ismail, M. F. Shaaban, M. Naidu and E. Serpedin, "Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation," in IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3428-3437, July 2020.
  • S. Mohamed, M. F. Shaaban, M. Ismail, E. Serpedin and K. A. Qaraqe, "An Efficient Planning Algorithm for Hybrid Remote Microgrids," in IEEE Transactions on Sustainable Energy, vol. 10, no. 1, pp. 257-267, Jan. 2019.
  • S. Park, E. Serpedin, and K. Qaraqe, "On the equivalence between Stein identity and de Bruijn identity,'' IEEE Trans. On Information Theory, vol. 58, no. 12, pp. 7045 - 7067, Dec. 2012.
  • S. Ekin, M. Abdallah, E. Serpedin, and K. Qaraqe, "Random Access and Scheduling in Spectrum Sharing OFDM-Based Wireless Networks,'' IEEE Trans. On Signal Processing, vol. 60, no. 9, pp. 4758 - 4774, Sept. 2012
  • K. -l. Noh, E. Serpedin and K. Qaraqe, "A New Approach for Time Synchronization in Wireless Sensor Networks: Pairwise Broadcast Synchronization," in IEEE Transactions on Wireless Communications, vol. 7, no. 9, pp. 3318-3322, September 2008.
  • W. Zhao, E. Serpedin and E. Dougherty, "Inferring gene regulatory networks from time series data using the minimum description length principle," Bioinformatics, Oxford, Sept. 2006: 22: 2129-2135.
Google Scholar Profile