Publications

Journals

  1. M. Elnour, R. Atat, A. Takiddin, M. Ismail, and E. Serpedin, “Eigenvector centrality-enhanced graph network for attack detection in power distribution systems”, Electric Power Systems Research, vol. 241, p. 111339, April 2025, DOI: 10.1016/j.epsr.2024.111339.
  2. S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Dynamic spatio-temporal planning strategy of EV charging stations and DGs using GCNN-based predicted power demand”, IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 4, pp. 4528–4542, April 2025, DOI: 10.1109/TITS.2025.3541190.
  3. R. Atat, A. Takiddin, M. Ismail, and E. Serpedin, “Graphon neural networks-based detection of false data injection attacks in dynamic spatio-temporal power systems”, IEEE Open Access Journal of Power and Energy, vol. 12, pp. 24–35, Jan. 2025, DOI: 10.1109/OAJPE.2025.3530352.
  4. W. Liao, R. Zhu, A. Takiddin, M. Tariq, G. Ruan, X. Cui, and Z. Yang, “Transfer learning-driven electricity theft detection in small sample cases”, IEEE Transactions on Instrumentation and Measurement, Oct. 2024, DOI: 10.110.9/TIM.2024.3470061.
  5. A. Takiddin, M. Ismail, R. Atat, and E. Serpedin, “Spatio-temporal graph-based generation and detection of adversarial false data injection evasion attacks in smart grids”, IEEE Transactions on Artificial Intelligence, Sept. 2024, DOI: 10.1109/TAI.2024.3464511.
  6. W. Liao, A. Takiddin, M. Tariq, S. Chen, L. Ge, and Z. Yang, “Sample adaptive transfer for electricity theft detection with distribution shifts”, IEEE Transactions on Power Systems, Mar. 2024, DOI: 10.1109/TPWRS.2024.3375939.
  7. S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Graph autoencoder-based power attacks detection for resilient electrified transportation systems”, IEEE Transactions on Transportation Electrification, Jan. 2024, DOI: 10.1109/TTE.2024.3355094.
  8. A. Takiddin, M. Ismail, R. Atat, K. R. Davis, and E. Serpedin, “Robust graph autoencoder-based detection of false data injection attacks against data poisoning in smart grids”, IEEE Transactions on Artificial Intelligence, vol. 5, no. 3, pp. 1287–1301, Mar. 2024, DOI: 10.1109/TAI.2023.3286831.
  9. A. Takiddin, R. Atat, M. Ismail, O. Boyaci, K. R. Davis, and E. Serpedin, “Generalized graph neural network-based detection of false data injection attacks in smart grids”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 3, pp. 618–630, Jun. 2023, DOI: 10.1109/TETCI.2022.3232821.
  10. A. Takiddin, M. Ismail, and E. Serpedin, “Robust data-driven detection of electricity theft adversarial evasion attacks in smart grids”, IEEE Transactions on Smart Grid, vol. 14, no. 1, pp. 663–676, Jan. 2023, DOI: 10.1109/TSG.2022.3193989.
  11. A. Takiddin, S. Rath, M. Ismail, and S. Sahoo, “Data-driven detection of stealth cyber-attacks in dc microgrids”, IEEE Systems Journal, vol. 16, no. 4, pp. 6097–6106, Dec. 2022, DOI: 10.1109/JSYST.2022.3183140.
  12. A. Takiddin, M. Ismail, U. Zafar, and E. Serpedin, “Deep autoencoder-based anomaly detection of electricity theft cyberattacks in smart grids”, IEEE Systems Journal, vol. 16, no. 3, pp. 4106–4117, Sept. 2022, DOI: 10.1109/JSYST.2021.3136683.
  13. A. Takiddin, M. Shaqfeh, O. Boyaci, E. Serpedin, and M. A. Stotland, “Toward a universal measure of facial difference using two novel machine learning models”, Plastic and Reconstructive Surgery Global Open, vol. 10, no. 1, Jan. 2022, DOI: 10.1097/GOX.0000000000004034.
  14. A. Takiddin, J. Schneider, Y. Yang, A. Abd-Alrazaq, and M. Househ, “Artificial intelligence for skin cancer detection: Scoping review”, Journal of Medical Internet Research, vol. 23, no. 11, p. e22934, Nov. 2021, DOI: 10.2196/22934.
  15. A. Takiddin, M. Ismail, M. Nabil, M. M. E. A. Mahmoud, and E. Serpedin, “Detecting electricity theft cyber-attacks in AMI networks using deep vector embeddings”, IEEE Systems Journal, vol. 15, no. 3, pp. 4189–4198, Sept. 2021, DOI: 10.1109/JSYST.2020.3030238.
  16. A. Takiddin, M. Ismail, U. Zafar, and E. Serpedin, “Robust electricity theft detection against data poisoning attacks in smart grids”, IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 2675–2684, May 2021, DOI: 10.1109/TSG.2020.3047864.
  17. J. Almulla, A. Takiddin, and M. Househ, “The use of technology in tracking soccer players’ health performance: A scoping review”, BMC Medical Informatics and Decision Making, vol. 20, no. 184, pp. 1–10, Aug. 2020, DOI: 10.1186/s12911-020-01156-4.

Conferences

  1. F. Joad, R. Atat, H. Mbayed, and A. Takiddin, “Recurrent graph neural network-based identification of replay attacks in power networks”, in 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Male, Maldives, 04 – 06 Nov. 2024, pp. 1 – 6, doi: 10.1109/ICECCME62383.2024.10796488.
  2. A. Takiddin, R. Atat, H. Mbayed, M. Ismail, and E. Serpedin, “Resilience of data-driven cyberattack detection systems in smart power grids”, in 32nd European Signal Processing Conference (EUSIPCO), Lyon, France, Aug. 2024, doi: EUSIPCO.2024.
  3. S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Generalized FDIA detection in power dependent electrified transportation systems”, in 32nd European Signal Processing Conference (EUSIPCO), Lyon, France, 26 – 30 Aug. 2024, pp. 1851 – 1855, doi: 10.23919/EUSIPCO63174.2024.10715443.
  4. S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Forecasting EV charging demand: A graph convolutional neural network-based approach”, in 4th International Conference on Smart Grid and Renewable Energy (SGRE), Doha, Qatar, Jan. 2024, doi: 10.1109/SGRE59715.2024.10428726.
  5. J. Sweeten, A. Takiddin, M. Ismail, S. S. Refaat, and R. Atat, “Cyber-physical GNN-based intrusion detection in smart power grids”, in IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, United Kingdom, Nov. 2023, doi: 10.1109/SmartGridComm57358.2023.10333949.
  6. S. Poudel, J. E. Baugh, A. Takiddin, M. Ismail, and S. S. Refaat, “Injection attacks and detection strategy in front-end vehicle-to-grid communication”, in IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, United Kingdom, Nov. 2023, doi: 10.1109/SmartGridComm57358.2023.10333927.
  7. A. Takiddin, R. Atat, M. Ismail, K. Davis, and E. Serpedin, “Graph autoencoder-based detection of unseen false data injection attacks in smart grids”, in Intelligent Systems Conference (IntelliSys), Amsterdam, Netherlands, Sept. 2023, doi: 10.1109/978-3-031-47721-8_16.
  8. A. Takiddin, R. Atat, M. Ismail, K. Davis, and E. Serpedin, “A graph neural network multi-task learning-based approach for detection and localization of cyberattacks in smart grids”, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, Jun. 2023, doi: 10.1109/ICASSP49357.2023.10096822.
  9. A. Takiddin, M. Ismail, and E. Serpedin, “Detection of electricity theft false data injection attacks in smart grids”, in 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, Sept. 2022, doi: 10.1109/EUSIPCO55093.2022.9909779.
  10. A. Takiddin, M. Shaqfeh, O. Boyaci, E. Serpedin, and M. Stotland, “Gauging facial abnormality using Haar-cascade object detector”, in 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, United Kingdom, Jul. 2022, doi: 10.1109/EMBC48229.2022.9871337.
  11. A. Takiddin, M. Ismail, U. Zafar, and E. Serpedin, “Deep autoencoder-based detection of electricity stealth cyberattacks in AMI networks”, in International Symposium on Signals, Circuits and Systems (ISSCS), Iasi, Romania, Jul. 2021, doi: 10.1109/ISSCS52333.2021.9497376.
  12. A. Takiddin, M. Ismail, and E. Serpedin, “Robust detection of electricity theft against evasion attacks in smart grids”, in IEEE International Conference on Communications (ICC), Montreal, Canada, Jun. 2021, doi: 10.1109/ICC42927.2021.9500822.
  13. A. Takiddin, M. Ismail, U. Zafar, and E. Serpedin, “Variational autoencoder-based detection of electricity stealth cyber-attacks in AMI networks”, in 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, Jan. 2021, doi: 10.1109/Eusipco47968.2020.9287764.

Book Chapters

  1. A. Takiddin, R. Atat, M. Ismail, K. Davis, and E. Serpedin, “Graph autoencoder-based detection of unseen false data injection attacks in smart grids”, in Intelligent Systems Conference (IntelliSys), Amsterdam, Netherlands, Sept. 2023, doi: 10.1109/978-3-031-47721-8_16.
  2. A. Takiddin, M. Elhissi, S. Abuhaliqa, and Y. Yang, “Reinforcement Learning Applications in Health Informatics”, Cham: Springer International Publishing, Aug. 2021, DOI: 10.1007/978-3-030-67303-1_12.