Ali AlQahtani | Cybersecurity | Best Researcher Award

Assistant Professor at North Carolina Agricultural and Technical State University,United States🎓

Dr. Ali Abdullah S. AlQahtani is a highly accomplished researcher and academic with over 13 years of diverse experience in academia, research, industry, and military settings. His career is distinguished by a strong commitment to global perspectives and Saudi Vision 2030, combined with a proven track record of teaching, research, and leadership. Known for his flexibility and adaptability, Dr. AlQahtani excels in motivating teams, developing innovative research programs, and contributing meaningfully to the academic and technological communities.

Professional Profile 

🎓Education

Dr. AlQahtani earned his Doctor of Philosophy in Engineering Cyberspace Engineering from Louisiana Tech University, where he completed a dissertation titled “0E2FA: Zero Effort Two Factor Authentication.” His academic journey includes a Master of Engineering in Electrical Engineering from the same institution, a Master of Science in Computer and Information Science from Southern Arkansas University, and a Bachelor of Science in Computer Science from Grambling State University. His educational background highlights his expertise in cybersecurity, artificial intelligence, and machine learning.

💼Work Experience

Dr. AlQahtani currently serves as an Assistant Professor of Computer Systems Technology at North Carolina Agricultural and Technical State University (NCAT). In this role, he teaches undergraduate and graduate courses, mentors students, and engages in program assessment and accreditation. Previously, he held positions at the University of Wisconsin Extended Campus and the University of Wisconsin Green Bay, where he introduced hands-on cybersecurity labs, developed curricula, and supervised research projects. His experience as a Teaching Assistant at Louisiana Tech University further underscores his dedication to teaching and mentoring.

🔍Research Focus 

Dr. AlQahtani’s professional achievements have been recognized through various accolades, including successful mentoring of students leading to notable academic publications and significant contributions to curriculum development and program assessment. His commitment to excellence in teaching and research has established him as a respected figure in his field.

🏆Awards and Honors

Dr. AlQahtani’s research interests include IoT security, user authentication, adaptive cryptography, and the application of AI & ML in cybersecurity. His work is focused on advancing knowledge and addressing contemporary challenges in technology and security, reflecting his dedication to driving innovation and improving user security and privacy.

Conclusion

Dr. Ali Abdullah S. AlQahtani is a highly qualified candidate for the Best Researcher Award. His extensive experience, research expertise, and commitment to advancing technology and education make him a standout nominee. His contributions to academia and research demonstrate his potential to drive innovation and inspire future researchers.

📖Publications : 

    • Comprehensive survey: Biometric user authentication application, evaluation, and discussion
      Authors: Alrawili, R., AlQahtani, A.A.S., Khan, M.K.
      Journal: Computers and Electrical Engineering, 2024, 119, 109485
      Publication Type: Article • Open access
      Emoji: 🕵️‍♂️📊
    • Credit Card Transactions Fraud Detection for Multiple Consumer Behaviors
      Authors: Smadi, B.A., Glisson, W.B., Tahat, M., Alamleh, H., Alqahtani, A.A.S.
      Conference: 2024 International Conference on Computing, Networking and Communications (ICNC 2024)
      Year: 2024
      Pages: 26–32
      Publication Type: Conference Paper
      Emoji: 💳🚨
    • Advancing Privacy Research: A Novel Realistic Persona-Based Dataset
      Authors: Godwin, C., Alqahtani, A.A.S., Alamleh, H., Hu, W.-C., Elsaid, A.
      Conference: 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS 2024)
      Year: 2024
      Pages: 1720–1725
      Publication Type: Conference Paper
      Emoji: 🔐📈
    • Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication
      Authors: Alqahtani, A.A.S., Alshayeb, T., Nabil, M., Patooghy, A.
      Journal: IEEE Access, 2024, 12, pp. 13277–13289
      Publication Type: Article • Open access
      Emoji: 📶🔒
    • Securing IoT-Based Healthcare Systems Against Malicious and Benign Congestion
      Authors: Kamarei, M., Patooghy, A., Alsharif, A., Alqahtani, A.A.S.
      Journal: IEEE Internet of Things Journal, 2023, 10(14), pp. 12975–12984
      Publication Type: Article
      Emoji: 🏥🌐
    • Distinguishing Human-Written and ChatGPT-Generated Text Using Machine Learning
      Authors: Alamleh, H., Alqahtani, A.A.S., Elsaid, A.
      Conference: 2023 Systems and Information Engineering Design Symposium (SIEDS 2023)
      Year: 2023
      Pages: 154–158
      Publication Type: Conference Paper
      Emoji: ✍️🤖
    • Secure Mobile Payment Architecture Enabling Multi-factor Authentication
      Authors: Alamleh, H., Alqahtani, A.A.S., Al Smadi, B.
      Conference: 2023 Systems and Information Engineering Design Symposium (SIEDS 2023)
      Year: 2023
      Pages: 19–24
      Publication Type: Conference Paper • Open access
      Emoji: 📱💳🔐
    • Optimizing Smart Home Performance and User Convenience with RSSI-based Proximity Detection
      Authors: Alqahtani, A.A.S., Alamleh, H.
      Conference: 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC 2023)
      Year: 2023
      Pages: 319–325
      Publication Type: Conference Paper
      Emoji: 🏠📡
Ali AlQahtani | Cybersecurity | Best Researcher Award

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