SPEN Lab research environment

Research Interests & Publications

Current scholarship, sponsored research, and peer-reviewed publications from Dr. Sherif and SPEN Lab.

Research Interests

Cybersecurity

Secure and privacy-preserving artificial intelligence

Security and privacy preservation in autonomous vehicles and vehicular ad hoc networks

Security and privacy of biometric identification

Smart grid advanced metering infrastructure communication network security

Location privacy-preserving schemes

Security and privacy of e-health applications

Artificial intelligence in cybersecurity

Autonomous vehicular cloud computing security and privacy

Sponsored Research Highlights

Submitted / Pending

Funded

Peer-Reviewed Publications

The full CV includes 22 journal articles, 48 conference proceedings, and 2 book chapters. The site now reflects the newest CV entries and grouped earlier work.

Journal Articles

  1. Rabab Abdelfattah, Moustafa Zagho, A. Sherif, Ahmad Imam, Mostafa Sliem, Ramy Elsalhy (2026). Smarter Chemical Oxygen Demand (COD) Prediction in Urban Wastewater Treatment Based on Post-Hoc Residual-Correction, Springer, under review.
  2. Murad Hasan, Rabab Abdelfattah, Kareem Abdelfattah, Mostafa M. Fouda, A. Sherif (2026). A Comprehensive Survey on Facial Expression Generation, ICT Express, Elsevier, under review.
  3. Razan Alsulieman, Mahmoud Abbass, Richard Swilley, A. Sherif, Mohamed Elsersy, Rabab Abdelfattah (2026). Proactive Detection of Alcohol Intoxication, IEEE Transactions on Emerging Topics in Computing, under review.
  4. Razan Alsulieman, Richard Preston Swiley, A. Sherif, Mohamed Elsersy, Mohammad Mahbubur Rahman Khan Mamun, Ahmad Imam, Rabab Abdelfattah, Kasem Khalil (2026). AI-Based Approaches for Drunk Driving Detection for Traffic Safety, IEEE Open Journal of the Computer Society, accepted.
  5. Rabeea Fatima, Ujunwa Madububa Mbachu, A. Sherif, Muhammad Hataba, Nick Rahimi, Kasem Khalil (2026). Physical Unclonable Function Based Privacy-Preserving Authentication Scheme for Autonomous Vehicles Using Hardware Acceleration, Sensors 2026, 26, 1088.
  6. Mahmoud Abbass, A. Sherif, Justin Riely, Kasem Khalil (2026). AI-Powered Secure and Privacy-Aware Maintenance Prediction Scheme for Autonomous Vehicles Using Hardware Acceleration, IEEE Internet of Things Journal, vol. 13, no. 3.
  7. Razan Alsulieman, Mahmoud Abbass, Richard Swilley, A. Sherif, Mohamed Elsersy, Rabab Abdelfattah (2026). Identification of Drinking Intoxication, IEEE Internet of Things Journal, vol. 13, no. 10.
  8. Ujunwa Madububambachu, Rabeea Fatima, A. Sherif, Kasem Khalil (2025). Security and Privacy Solutions in Intelligent Transportation Systems: A Survey, Internet of Things Journal, Elsevier, Volume 34.
  9. Khan Mamun, M., A. Sherif, Elsersy M., Khalil K., Imam A., Abouzaid K. (2025). A Distributed Deep Learning Approach for Blood Sample-Based Early Detection of Dementia, Image and Vision Computing Journal, Elsevier, Volume 164.
  10. Ujunwa Madububambachu, Rabeea Fatima, A. Sherif, Kasem Khalil, Elbert Dockery, Mohamed Mahmoud, Maazen Alsabaan (2025). Hardware-Acceleration Based Privacy-Aware Authentication Scheme for Internet of Vehicles Using Physical Unclonable Function, Sensors 2025, 25, 1629.
  11. Earlier journal work includes Sensors 2023, Bioengineering 2023, IEEE Access 2022, IEEE Open Journal of the Communications Society 2022, IEEE TDSC 2022/2021/2019, IEEE Transactions on Vehicular Technology 2021, and IEEE IoT Journal 2019/2017.

Conference Proceedings

  1. 2026 papers at IEEE MWSCAS, IEEE SoutheastCon, and Springer conferences cover smart insoles, smart grid aggregation, insider threat prediction, federated plant disease detection, EV route planning, EV charging authentication, UAV path planning, and IoV federated learning integrity.
  2. 2025 papers include IEEE ASET, IEEE AIBThings, IEEE SoutheastCon, and IEEE ICMI work on drug interactions, cotton crop disease detection, arthritis detection, Internet of Drones authentication, intrusion detection, lung cancer detection, cotton health monitoring, UAV detection, alcohol impairment detection, eVTOL authentication, and power line segmentation.
  3. 2024 papers include IEEE ICMI, IEEE MWSCAS, ISICS, and IEEE MCSoC work on IoV authentication, privacy-preserving e-health machine learning, UNET hardware acceleration, CNN acceleration, Internet of Drones authentication, drunk driving detection, and NoC architecture.
  4. 2023 papers include IEEE MobiSecServ, AIBThings, NAECON, MWSCAS, ITT, and ICAA work on smart grid aggregation, traffic management privacy, dementia diagnosis, hardware Trojan detection, SRAM-PUFs, e-health data collection, e-health data sharing, and AV parking.
  5. Earlier conference work includes ICETIS 2022 Best Paper Award, IEEE SoutheastCon 2022, IEEE MENACOMM 2021, IEEE MWSCAS 2021, IEEE SoutheastCon 2020, NAECON 2018, IEEE ICT 2018, IEEE ICC 2018, and AMECSE 2017.

Book Chapters

  1. A. Sherif, M. Ismail, M. Mahmoud, K. Akkaya, E. Serpedin, K. Qaraqe, Privacy Preserving Power Charging Coordination Scheme in the Smart Grid, John Wiley, 2018.
  2. Mohamed Elsersy, A. Sherif, Ashraf Darwish, Abu Ella Hassanien, Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches, Springer, accepted 2020.