DEPARTMENT.FACULTY
- DEPARTMENT_STAFF.QUALIFICATION
Ph.D., M.C.A., B.Sc. (Hons.) Computer Applications
- DEPARTMENT_STAFF.DESIGNATION
Associate Professor
- DEPARTMENT_STAFF.THRUST_AREA
Artificial Intelligence, Machine Learning, Cybersecurity, Software Engineering
- DEPARTMENT_STAFF.ADDRESS
Department of Computer Science, AMU, Aligarh
- DEPARTMENT_STAFF.MOBILE
7078636860
- DEPARTMENT_STAFF.EMAIL
airshad.cs@amu.ac.in
- DEPARTMENT_STAFF.TIME_TABLE
Dr. Asif Irshad Khan is an accomplished Associate Professor in the Department of Computer Science at AMU, Aligarh. With over 20 years of experience spanning teaching, research, and corporate roles, Dr. Khan brings a wealth of expertise to his current position. Prior to joining AMU, he served as an Assistant Professor at King Abdulaziz University, Jeddah, Saudi Arabia, and as a Senior Lecturer at Jazan University, Saudi Arabia. He also contributed significantly as a Software Engineer at the Mohd Yusuf Naghi Group of Industries, Jeddah.
He was honored with the prestigious College Hero award for the 2023-2024 academic year by the Dean of the Faculty of Computing and Information Technology, KAU, Jeddah in recognition of his exceptional contributions and services to the department and college. Additionally, he served as the Head of Academic Accreditation for National Center for Academic Accreditation and Evaluation (NCAAA) in the Department of Computer Science at KAU, Jeddah.
Dr. Khan's research
spans Component-Based Software Development, Software Security, AI, Health
Science, and Cyber Security. His interests extend to fitting process models to
experimental data, learning fuzzy rule bases, and exploring neural networks. He
has actively collaborated with researchers across diverse computer science
disciplines and has led numerous research projects funded by both private and
public sectors. His research profile
can be seen by visiting the following URLs:
A prolific author, Dr. Khan has published over 100 papers in esteemed international journals and conference proceedings. He has served on program committees for major research conferences and has been Principal Investigator or Co-Principal Investigator on more than a dozen sponsored projects funded by the Deanship of Scientific Research at King Abdulaziz University, KSA.
Dr. Khan is also a respected reviewer for leading computer science journals including Engineering Applications of AI, IEEE Access, PeerJ Computer Science, PLOS ONE, Multimedia Tools and Applications, MDPI (Energies and Sensors), and the International Journal of Information Management. His dedication to teaching excellence has earned recognition in both graduate and undergraduate education. He mentors Ph.D. students at universities in KSA and internationally, and he continues to serve as a scientific consultant for national and international institutions.
- Artificial intelligence-based power controller for low voltage ride-through control of grid connected distributed generation networks
Alam, Md Mottahir, Ibrahim M. Mehedi, Nebras Sobahi, Asif Irshad Khan, Md Moddassir Alam, Ahteshamul Haque, Samir Ka sim, and Varaha Satya Bharath Kurukuru. "Artificial intelligence-based power controller for low voltage ride-through control of grid connected distributed generation networks." U.S. Patent 11,362,539 issued June 14, 2022.
- Planar antenna for wireless communication
Alam, Md Mottahir, Rezaul Azim, Mohammad Tariqul Islam, Asif Irshad Khan, and Ibrahim M. Mehedi. "Planar antenna for wireless communication." U.S. Patent 11,329,373 issued May 10, 2022.
- Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production Asif Irshad Khan, Abdullah S. Almalaise Alghamdi, Yoosef B. Abushark, Fawaz Alsolami, et al., "Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production", Journal: Chemosphere, 2022,Q1, (IF:8.8),
- Managing Security of Healthcare Data for a Modern Healthcare System
Almalawi, Abdulmohsen, Asif Irshad Khan, Fawaz Alsolami, Yoosef B. Abushark, and Ahmed S. Alfakeeh. 2023. "Managing Security of Healthcare Data for a Modern Healthcare System" Journal: Sensors 23, no. 7: 3612, Q2 (IF:3.9), https://doi.org/10.3390/s23073612
- Novel energy management scheme in IoT enabled smart irrigation system using optimized intelligence methods
Asif Irshad Khan, Fawaz Alsolami, Fahad Alqurashi, et al., “Novel energy management scheme in IoT enabled smart irrigation system using optimized intelligence methods”, Journal: Engineering Applications of Artificial Intelligence,(2022), Q1, (IF:8.0), https://doi.org/10.1016/j.engappai.2022.104996
- Prediction of breast cancer based on computer vision and artificial intelligence techniques
Asif Irshad Khan, Yoosef B Abushark, Fawaz Jaber Alsolami, et al., “Prediction of Breast Cancer based on Computer Vision and Artificial Intelligence Techniques”, Journal: Measurement, (2023), Q1, (IF=5.6), https://doi.org/10.1016/j.measurement.2023.113230
- Anomaly Detection of Breast Cancer Using Deep Learning
Ahad Alloqmani, Yoosef B Abushark, Asif Irshad Khan, “Anomaly Detection of Breast Cancer Using Deep Learning”, Journal: Arabian Journal for Science and Engineering, (2023), Q2, (IF=2.9), https://doi.org/10.1007/s13369-023-07945-z
- Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions
Iqbal H Sarker, Asif Irshad Khan, YB Abushark, F Alsolami, Internet of Things (IoT) security intelligence: a comprehensive overview, machine learning solutions and research directions, Journal: Mobile Networks and Applications 28 (1), 296-312, (2022), Q2, (IF=3.8), https://doi.org/10.1007/s11036-022-01937-3
- An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique
Abdulmohsen Almalawi, Fawaz Alsolami, Asif Irshad Khan, Ali Alkhathlan, Adil Fahad, “An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique”, Journal: Environmental Research, (2022), Q1 (IF:8.3) https://doi.org/10.1016/j.envres.2021.112576
- BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, "BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model,” Journal: Mobile Networks and Applications, (2019), Q2, (IF=3.8), https://doi.org/10.1007/s11036-019-01443-z
- An artificial intelligence-based solar radiation prophesy model for green energy utilization in energy management system
Fawaz Alassery, Ahmed Alzahrani, Asif Irshad Khan, Kashif Irshad, “An artificial intelligence-based solar radiation prophesy model for green energy utilization in energy management system”, Journal: Sustainable Energy Technologies and Assessments, (2022), Q1 (IF:8.0), https://doi.org/10.1016/j.seta.2022.102060
- IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model
Sarker, Iqbal H., Yoosef B. Abushark, Fawaz Alsolami, and Asif Irshad Khan. 2020. "IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model", Journal: Symmetry 12, no. 5: 754. , Q2 (IF:2.7) https://doi.org/10.3390/sym12050754
- Web-Informed-Augmented Fake News Detection Model Using Stacked Layers of Convolutional Neural Network and Deep Autoencoder
Abdullah Marish Ali, Fuad A Ghaleb, Mohammed Sultan Mohammed, Asif Irshad Khan, et al., "Web-Informed-Augmented Fake News Detection Model Using Stacked Layers of Convolutional Neural Network and Deep Autoencoder", Journal: Mathematics, (2023), Q1, (IF=2.4), https://doi.org/10.3390/math11091992