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Research Interests & Publications

Dr. Sherif and Spen Lab actively explore the following areas, publishing cutting-edge research that advances cybersecurity, privacy, and network technologies.

Research Interests

Our key focus areas involve protecting data, ensuring privacy, and optimizing performance in modern networked systems.

Autonomous Vehicle Security

Cybersecurity & Privacy in Autonomous Vehicles (AVs)

  • Design secure communication systems for connected vehicles
  • Create privacy protection for location and travel data
  • Explore security solutions for future transportation networks
IoT Security

IoT and Smart Grid Security

  • Analyze security challenges in smart home and city technologies
  • Develop safer ways to collect and manage energy usage data
  • Investigate vulnerabilities in connected device networks
AI-Enhanced Security

AI-Enhanced Security Solutions

  • Apply machine learning to detect and prevent cyber attacks
  • Develop privacy-friendly ways to analyze sensitive data
  • Create smart systems that protect user information
Authentication

Authentication for Next-Generation Networks

  • Design innovative methods to verify device identities
  • Create security solutions for drone and aerial networks
  • Develop user-friendly yet highly secure login systems
Privacy

Privacy-Preserving Applications

  • Build privacy protections for healthcare applications
  • Design secure systems for smart energy management
  • Create data sharing methods that maintain user privacy

Publications

*my MSc Student, **PhD Student, ^ Visiting Scholar, ^^Undergrad Student, ++Postdoc (current/former)

Journal Papers

  1. 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, under review.
    Preprint PDF
  2. **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 Journal, MDPI, under review.
  3. Niveshitha Niveshitha, Fathi Amsaad, A. Sherif, Noor Zaman Jhanjhi (2024), "Efficient Distributed Cloud-based ML Approach for Safe Urban Smart Cities" in IEEE Access, under review.
    Preprint PDF
  4. **Ujunwa Madububambachu, ***Rabeea Fatima, A. Sherif, Kasem Khalil, (2024) "Security and Privacy Solutions in Intelligent Transportation Systems: A Survey," Internet of Things Journal, Elsevier, under review.
  5. Khalil, K.; Khan Mamun, M.; Sherif, A.; Elsersy, M.; Imam, A.; Mahmoud, M.; Alsabaan, M. (2023) "A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer's Disease". Sensors 2023, 23, 8272.
    Preprint PDF
  6. Khan Mamun, M.M.R.; Sherif, A., (2023) "Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges". Bioengineering 2023, MDPI, 10, 27.
  7. M. Nabil, Sherif, A., M. Mahmoud, W. ALSMARY and M. ALSABAAN, (2022) "Accurate and Privacy-Preserving Person Localization using Federated-Learning and the Camera Surveillance Systems of Public Places," in IEEE Access, vol. 10, pp. 109894-109907, 2022.
    Preprint PDF
  8. **M. Hataba, Sherif, A., M. Mahmoud, M. Abdallah and W. Alasmary, (2022) "Security and Privacy Issues in Autonomous Vehicles: A Layer-Based Survey," in IEEE Open Journal of the Communications Society, vol. 3, pp. 811-829, 2022.
  9. **M. Hataba, Sherif, A., and R. Elkhouly, (2022) "Enhanced Obfuscation for Software Protection in Autonomous Vehicular Cloud Computing Platforms," in IEEE Access, vol. 10, pp. 33943-33953, 2022.
  10. Baza, M., Pazos-Revilla, M., Sherif, A., Nabil, M., Aljohani, A., Mahmoud, M., Alasmary, W. (2022). "Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grid". in IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 4, pp. 2226-2243, 1 July-Aug. 2022.
  11. M. Nabil, Sherif, A., M. ALSABAAN, M. Mahmoud, W. ALSMARY, (2021) "Privacy-Preserving Non-Participatory Surveillance System for COVID-19-Like Pandemics". in IEEE Access, vol. 9, pp. 79911-79926, 2021.
  12. Nabil, M., Sherif, A., Mahmoud, M., Alsharif, A., Abdallah, M. (2021). "Efficient and Privacy-Preserving Ridesharing Organization for Transferable and Non-Transferable Services". in IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 3, pp. 1291-1306, 1 May-June 2021.
  13. Baza, M., Sherif, A., Mahmoud, M., Bakiras, S., Lin, X., Abdallah, M. (2021) "Privacy-Preserving Blockchain-based Energy Trading Schemes for Electric Vehicles". IEEE Transactions on Vehicular Technology.
  14. Alsharif, A., Nabil, M., Sherif, A., Mahmoud, M., Song, M. (2019). "MDMS: Efficient and Privacy-Preserving Multidimension and Multisubset Data Collection for AMI Networks". in IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10363-10374, Dec. 2019.

Conference Papers

  1. Kasem Khalil, Md Rahat Kader Khan, A. Sherif, Ashok Kumar, and Magdy Bayoumi, "Secure and Efficient Physically Unclonable Function Architecture with Feedback Loops" IEEE 2025 18th Dallas Circuits and Systems Conference (DCAS'25), TX, USA, April 11-13, 2025, under review.
  2. **Muhammad Zain Chaudhary, **Eduardo Hernandez Escobar, A. Sherif, Kasem Khalil, and Rabab Abdelfatah "Dynamic Key-Based Privacy-Preserving Authentication Scheme for Internet of Drones", IEEE SoutheastCon 2025, Charlotte, NC, USA, March 22-23, 2025, under review.
  3. ***Tim Leonhardt, A. Sherif, and Mohamed Elsersy "Performance Comparison of Machine Learning and Federated Learning for Intrusion Detection in Vehicular Ad-Hoc Networks" IEEE 4th International Conference on Computing and Machine Intelligence (ICMI 2025), Michigan, USA, April 05-06, 2025, under review.
  4. **U. Madububambachu, ***R. Fatima, ***K. White, ***J. Riley, A. Sherif and K. Khalil, "Hardware-Acceleration Based Privacy-Aware Authentication Scheme for Internet of Vehicles," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-5.
  5. ***J. Romeo, **M. Abbass, A. Sherif, M. M. R. Khan Mamun, M. Elsersy, and K. Khalil, "Privacy-Preserving Machine Learning for E-Health Applications: A Survey," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-6.
  6. K. Khalil, R. Abdelfattah, K. Abdelfatah and A. Sherif, "Hardware Acceleration-Based Scheme for UNET Implementation Using FPGA," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-5.
  7. K. Khalil, M. R. Khan, M. Bayoumi and A. Sherif, "Efficient Hardware Design of Convolutional Neural Networks for Accelerated Deep Learning," 2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), Springfield, MA, USA, 2024, pp. 1075-1079.
  8. **Eduardo Hernandez Escobar, ***Zain Chaudhary, A. Sherif, Mohamed Elsersy, Kasem Khalil, "A Novel Classification of Authentication Schemes for Internet of Drones," 5th International Symposium on Intelligent Computing Systems - ISICS 2024, Springer, 06–07 November 2024, Sharjah, UAE, accepted.
  9. **R. P. Swiley, **R. Alsulieman, A. Sherif, M. Elsersy, and K. Khalil, "Taxonomy of Proactive Detection Methods of Drunk Driving for Enhancing Traffic Safety," 2024 IEEE 17th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Kuala Lumpur, Malaysia, 2024, pp. 294-301.
  10. ***Kayla White, **Ujunwa Madububa Mbachu, Sherif, A., Kasem Khalil, "Privacy-Aware and Hardware Acceleration-Based Aggregation Scheme for Smart Grid Networks", 2023 IEEE Eighth International Conference On Mobile And Secure Services (MobiSecServ), Miami, Florida, USA, 4-5 November 2023.
  11. **Ujunwa Madububa Mbachu, ***Kayla White, ***Kenechukwu Sibeudu, Sherif, A., Mohamed Elsersy, (2023) "Secure and Privacy-Preserving Aggregation Scheme For Traffic Management Systems", IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), September 16-17, 2023, Michigan, USA.
  12. ***Christopher Bourn, ***Joseph Heirendt, ***Kamsiyochukwu Ben-chiob, ***Alexander Haastrup, Sherif, A., Mohamed Elsersy, (2023) "Privacy-Preserving Data Sharing Scheme for E-Health Systems", IEEE 2023 9th International Conference on Information Technology Trends (ITT), Dubai, United Arab Emirates, 2023, pp. 20-25.
  13. ***Alexander Haastrup, **Muhammad A Hataba, Sherif, A., Mohamed Elsersy, (2023) "Privacy-Aware Blockchain-Based AV Parking System Registration Scheme", 2023 IEEE International Conference on Assured Autonomy (IEEE ICAA'23), June 6-8, 2023, Maryland, USA.
  14. ***Matthew Watkins, ***Colby Dorsey, ***Daniel Rennier, ***Timothy Polley, Sherif, A., Mohamed Elsersy, (2022) "Privacy-Preserving Data Aggregation Scheme for E-Health", 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2022), Springer, 02–03 September 2023 (Best Paper Award).

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", in Transportation and Power Grid in Smart Cities: Communication Networks and Services, John Wiley, UK. 2018.
  2. "Digital Transformation and Emerging Technologies for Tackling COVID-19 Pandemic, Studies in Systems, Decision and Control", published by Springer. Chapter: "Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches", Mohamed Elsersy, A. Sherif, Ashraf Darwish, Abu Ella Hassanien, 2020.