Contact Details
| Name: | Dr. Mohd Abdul Rahim Khan |
| Job Title: | Assistant Professor-Cyber Security |
| College: | College of Engineering |
| Email: | mohd.khan@asu.edu.om |
| Phone: +96898051356 | Ext. |
Contact Details
Dr. Mohd Abdul Rahim Khan is working at College of Engineering A'sharqiyah University Ibra as an Assistant Professor in Cyber Security in the department of Electric Engineering and Computer Science.
He has a Doctor of Philosophy (Ph.D.) degree and is an expert in fields including network security, cyber security, information security, machine learning, and Android security.
Schooling In 2008, Dr. Khan received a Master of Technology in Information Technology from Guru Gobind Singh Indraprastha University in Delhi, India.
Additionally, he has a Master of Science in Computer Science from Delhi, India's Jamia Hamdard University, which he earned in 2006. In 2003, he also graduated with a Bachelor of Computer Applications from Chaudhary Charan Singh University in Meerut, India.
Academic and Professional Experience: Dr. Khan began his academic career as a Lecturer in the Computer Science Department at Majmaah University in 2009 up to Jan 2025. Prior to that, he served as a Lecturer in Computer Science Engineering Dept. at BBDIT College, affiliated with U.P. Technical University, from 2008 to 2009.
Recognition: In 2021, 2022, 2023, 2024, Dr. Khan was honored with the "Instructor of the Year Award" by EC-Council, recognizing his excellence in cybersecurity education.
Ph.D. in Computer Science & Engineering, Lingayas Vidyapeeth, Fridabad Haryana India 2018-2022
Thesis: A Novel Approach for Detection and Analysis of Malware for Smart Devices
Supervisor: Prof. Nand Kumar
M.Tech. in Information Technology, GGSIP University, Delhi India, 2006-2008
Thesis: Adversarial Machine Learning for Intrusion Detection and Malware Analysis
Supervisor: Prof. PK Jain
M.Sc. in Computer Science, Jamia Hamdard University, New Delhi, India, 2004- 2006
Thesis: Optimization power control algorithm in CDMA cellular system Supervisor:
Prof. Basheer Alam
B.Sc. in Computer Application, CCS University, Meerut India, 2000-2003
Major: Computer Science and Application
Research Interests and Publications: Dr. Khan's research focuses on network security, cyber security, information security, Android security, and machine learning. He has authored several notable publications, including:
1. Khan, A. R., Ahmed, S. S., Khan, M. A.R., & Sharma, S. (2024). FinSafeNet: Securing Digital Transactions using optimized Deep learning and Multi-kernal PCA (MKPCA) with Nyström Approximation. Scientific Report
2. Almotairi, S., Khan, M. A. R., Alharbi, O., Alzaid, Z., Hausawi, Y. M., & Almutairi, J. (2024).Detection of Android Malware Using Deep Learning Ensemble with Cheetah-Optimized Feature Selection. Advances and Applications in Discrete Mathematics, 41(5), 357-392.
3. Jilani, A. K., Ahmad, F., Khan, M. A. R., & Jabeen, A. (2023, October). Machine Learning Based Framework for Attack Detection on IoT Devices. In 2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS) (pp. 1-8). IEEE.
4. Kaur, S., Kaur, N., Bhatia, K. S., Khan, M. A. R., Gupta, M., Sharma, N. K., & Sharma,S. K.(2022). Node localization and data aggregation scheme using cuckoo search and neural network. Expert Systems, e13033.
5. Khan, M. A. R., Shavkatovich, S. N., Nagpal, B., Kumar, A., Haq, M. A., Tharini, V. J., ... &Alazzam, M. B. (2022). Optimizing Hybrid Metaheuristic Algorithm with Cluster Head toImprove Performance Metrics on the IoT. Theoretical Computer Science.
6. Khan, M. A. R., Kumar, N., & Tripathi, R. C. (2022). Detection of Android Malware App through Feature Extraction and Classification of Android Images. International Journal of Advanced Computer Science and Applications, 13(5).
7. Haq, M. A., Khan, M. A. R., & Alshehri, M. (2022). Insider Threat Detection Based on NLP Word Embedding and Machine Learning. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 33(1), 619-635.
8. Haq, M. A., Rehman, Z., Ahmed, A., & Khan, M. A. R. (2022). Machine Learning based classification of Hyperspectral Imagery. International Journal of Computer Science & Network Security, 22(4), 193-202.
9. K. , M. Anul Haq, U. Garg, M. A. R. Khan and V. Rajinikanth, "Fusion-based deep learning model for hyperspectral images classification," Computers, Materials & Continua, vol. 72, no.1, pp. 939–957, 2022.
10. Haq, M. A., Khan, M. A. R., & Talal, A. H. (2022). Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing. CMC-COMPUTERS MATERIALS & CONTINUA, 71(1), 1769-1788.
11. Haq, M. A., & Khan, M. A. R. (2022). DNNBoT: Deep Neural Network-Based Botnet Detection and Classification. CMC-COMPUTERS MATERIALS & CONTINUA, 71(1),1729-1750.
12. Khan, M.A.R., Jain, M.K. A novel technique for detecting repacked Android applications using constant key point selection-based hashing and limited binary pattern texture feature
IEEE
ACM
Five Projects Grant from Majmaah University KSA.