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Farrukh Aslam Khan
PeerJ Author
235 Points

Contributions by role

Author 100
Editor 135

Contributions by subject area

Artificial Intelligence
Security and Privacy
Computer Networks and Communications
Data Mining and Machine Learning
Data Science
Cryptography
Software Engineering

Farrukh Aslam Khan

PeerJ Author

Summary

Farrukh Aslam Khan is a Professor of Cyber Security at the Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia. He has over 25 years of teaching and research experience at various institutions. He received an M.S. degree in Computer System Engineering from the GIK Institute of Engineering Sciences and Technology, Pakistan, and a Ph.D. degree in Computer Engineering from Jeju National University, South Korea, in 2003 and 2007, respectively. He also received professional training from the Massachusetts Institute of Technology (MIT), New York University, IBM, and other institutions. He has published over 145 research articles in refereed international journals and conferences. He has supervised/co-supervised 6 Ph.D. students and 20 M.S. thesis students. Prof. Khan is on the editorial board of several prestigious international journals. He has co-organized several international conferences and workshops and has delivered many keynote and invited speeches. He is a Fellow of the British Computer Society (BCS) and a Senior Member of the IEEE.

Artificial Intelligence Computer Networks & Communications Mobile & Ubiquitous Computing Security & Privacy

Past or current institution affiliations

King Saud University

Work details

Professor

King Saud University
Center of Excellence in Information Assurance (CoEIA)
Research & teaching in the areas of Cyber Security, IoT, E-Health, and Computational Intelligence.

Websites

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PeerJ Contributions

  • Articles 3
April 8, 2025
Fine-tuned deep transfer learning: an effective strategy for the accurate chronic kidney disease classification
Zeshan Aslam Khan, Muhammad Waqar, Hashir Ullah Khan, Naveed Ishtiaq Chaudhary, Abeer TMA Khan, Iqra Ishtiaq, Farrukh Aslam Khan, Muhammad Asif Zahoor Raja
https://doi.org/10.7717/peerj-cs.2800
December 23, 2024
ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms
Umm-e-Hani Tayyab, Faiza Babar Khan, Asifullah Khan, Muhammad Hanif Durad, Farrukh Aslam Khan, Aftab Ali
https://doi.org/10.7717/peerj-cs.2604
October 7, 2021
Hand-based multibiometric systems: state-of-the-art and future challenges
Anum Aftab, Farrukh Aslam Khan, Muhammad Khurram Khan, Haider Abbas, Waseem Iqbal, Farhan Riaz
https://doi.org/10.7717/peerj-cs.707