Prof. Aasim Zafar

    Ph.D., M.C.A., M.Sc., B.Ed.




    Virtual Learning Environment (VLE), Mobile Ad-Hoc Networks(MANETs), Image Processing, Video Analytics, Information Retrieval, Soft Computing


    C-19, K.K.Residency, Near Rabia Manzil, Badar Bagh, Civil Lines, Aligarh -202002 (U.P.), India





    Time Table with Office Hours Odd Sem (2021-22)


Prof. (Dr.) Aasim Zafar is Professor at Computer Science Department, Aligarh Muslim University, Aligarh, India. He holds Master in Computer Science and Applications and obtained the degree of Ph. D. in Computer Science, from Aligarh Muslim University, Aligarh, India. His research areas and special interests include Mobile Ad hoc and Sensor Networks, Image Processing and Video Analytics, Information Retrieval, E-Systems, e-Security, Virtual Learning Environment, Neuro-Fuzzy and Soft Computing, and Software Engineering. His areas of teaching interest include Computer Networks, Network Security, Software Engineering, E-Systems, Database Management Systems and Computer Programming. He has presented many papers in National and International Conferences and published various research papers in journals of international repute.

Prof. Aasim Zafar has a teaching and research experience of more than 27 years both at national and international level. He has executed NMEICT-EdRP project funded by MHRD, Govt. of India as Co-PI, which was executed in consortium mode with AMU being one of the partner Institute (with a share of Rs 1.2 crore) and IIT, Kanpur being the Coordinating Institute. AMU successfully contributed two major outcomes, namely, a cloud-based multi-lingual and multi-Institutional Library Management System (LibMS) and Election Management System (EMS) to this project.

During his 5-year tenure of International teaching assignment at King Abdulaziz University (KAU), Jeddah, he has executed three research projects, two DSR funded (SR 50,000 each) as PI and one funded by KACST (SR 2 Million) as Co-PI. He was awarded with “Excellence in Teaching Award” at KAU, Jeddah.

Besides teaching and research, Prof. Aasim Zafar has a rich administrative experience and is actively involved in various developmental work of the university in various capacities. He has served as Chairperson/Head of the Department of Computer Science during 19.01.2021 to 18.01.2024. He is presently UGC SWAYAM Coordinator, Coordinator of IGNOU Study Centre of AMU, Convener of University Website Committee, Convener of Digital Monitoring Cell, Member, CIQA, CDOE, AMU and member of various high powered committee constitute by the Hon’ble Vice Chancellor of AMU. He has immensely contributed in ICT Infrastructure Development of the University. At KAU, Prof. Zafar successfully led the Academic Accreditation Unit of FCIT, KAU in the capacity of Director to achieve ABET (American Accreditation Board of Engineering and Technology) accreditation.

Prof. Aasim Zafar has been actively working in the area of e-Learning and utilizing Open Source ICT Tools and Technologies in Research, Teaching & Learning and Student Evaluation since 1995, both at the Graduate and Post Graduate levels. He has served CDOE, AMU as Coordinator of e-Learning Programmes. He has expertise in Educational Technologies and contributed in spreading the culture of ICT enabled Pedagogy among teachers of HEIs through various workshops, orientation, training and capacity building programmes. He has also organised various webinars, workshops, and training programmes on e-Content Development and ICT related topics.

Prof. Aasim Zafar is a valuable resource person and delivered skill based technical sessions/lectures across the country for Faculty Development Programmes [FDP], Faculty Induction Programmes [FIP], Refresher Courses and Orientation Programmes at UGC HRDCs and different Universities in India on e-Learning, SWAYAM MOOCs, e-Content Development, Capacity building for blended learning, Educational Technologies for Online Teaching and Learning, Learning Management Systems (LMS), and e-Governance, etc. He has trained over 5000 faculty members belonging to various universities/colleges across the country for Online Teaching and Learning during COVID-19 pandemic since March 2020.

  1. Publication
    1. K. Roshan and Aasim Zafar, Boosting robustness of network intrusion detection systems: A novel two phase defense strategy against untargeted white-box optimization adversarial attack, Expert Systems with Applications, February 2024, SCIE Indexed (Q1). DOI:10.1016/j.eswa.2024.123567.1      
    2. S. Masood and Aasim Zafar, “Deep?efficient?guard: securing wireless ad hoc networks via graph neural network”, International Journal of Information Technology, February 2024, Scopus Indexed (Q2), DOI: 10.1007/s41870-023-01702-z.
    3. K. Roshan and Aasim Zafar, “AE-Integrated: Real-time network intrusion detection with Apache Kafka and autoencoder”, Concurrency and Computation: Practice and Experience, January 2024, DOI:, SCIE Indexed (Q3).

    4. Sheikh Burhan ul Haque and Aasim Zafar, “Robust Medical Diagnosis: A Novel Two?Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images”, Journal of Imaging Informatics in Medicine (2024), January 2024, SCIE Indexed (Q1), DOI:
    5. Faiza Farhat, Emmanuel Sirimal Silva, Hossein Hassani, Dag Øivind Madsen, Shahab Saquib Sohail, Yassine Himeur, M Afshar Alam, Aasim Zafar, “The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase”, Frontiers in Artificial Intelligence (Sec. Natural Language Processing), Volume 6 (2023), January 2024, Scopus Indexed (Q2), DOI:
    6. Syed Shamikh Iqbal and Aasim Zafar, “Enhanced Shor’s Algorithm with Quantum Circuit Optimization”, International Journal of Information Technology, January 2024, Scopus Indexed (Q2).
    7. K. Roshan and Aasim Zafar “Ensemble Adaptive Online Machine Learning in Data Stream: A Case Study in Cyber Intrusion Detection System”, International Journal of Information Technology, December 2023, Scopus Indexed (Q2), DOI:
    8. Khalid Anwar, Aasim Zafar and Arshad Iqbal, “An Efficient Approach for Improving the Predictive Accuracy of Multi-Criteria Recommender System, International Journal of Information Technology, November 2023, Scopus Indexed (Q2), DOI:
    9. Fahad Alqurashi, Aasim Zafar, Asif Irshad Khan, Abdulmohsen Almalawi, Md. Mottahir Alam, and Rezaul Azim, “Deep Neural Network and Predator Crow Optimization-Based Intelligent Healthcare System for Predicting Cardiac Diseases”, Mathematics 2023, 11(22), 4621 (Special Issue "Artificial Intelligence Solutions in Healthcare"),, SCIE Indexed (Q2), November 2023.
    10. K. Roshan, Aasim Zafar and Sheikh Burhan ul Haque,  Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System”, Computer Communications, October 2023, SCIE Indexed (Q1), DOI:
    11. Mohd Farooq, Aasim Zafar and Abdus Samad, "Contention-free Dynamic Task Scheduling Approach for Network-on-Chip based Quad-core Systems", International Journal of Information Technology, DOI: 10.1007/s41870-023-01542-x, October 2023, Scopus Indexed (Q2).
    12. Sheikh Burhan ul Haque and Aasim Zafar, "White-Box Inference Attack: Compromising the security of Deep Learning Based COVID-19 Diagnosis Systems", International Journal of Information Technology, September 2023, DOI: 10.1007/s41870-023-01538-7, Scopus Indexed (Q2).
    13. M. A. Wajid, Aasim Zafar, M. S. Wajid, “A Deep Learning Approach for Image and Text Classification using Neutrosophy”, International Journal of Information Technology, September 2023, Scopus Indexed (Q2).
    14. Sheikh Burhan ul Haque and Aasim Zafar"Unlocking adversarial transferability: a security threat towards deep learning?based surveillance systems via black box inference attack? a case study on face mask surveillance", Multimedia Tools and Applications, August 2023, SCIE Indexed (Q1), DOI:

    1. Sheikh Burhan ul Haque and Aasim Zafar“Beyond Accuracy and Precision: A Robust Deep Learning Framework to Enhance the Resilience of Face Mask Detection Models against Adversarial Attacks”, Evolving Systems (2023), July 2023, SCIE Indexed (Q2), DOI:
    2. Md. Mottahir Alam, Ahteshamul Haque, Asif Irshad Khan, Samir Kasim, Amjad Ali Pasha, Aasim Zafar, Kashif Irshad, Anis Ahmad Chaudhary, Md. Samsuzzaman,and Rezaul Azim, "Metasurface-Based Solar Absorption Prediction System Using Artificial Intelligence", Journal of Mathematics, Volume 2023, SCIE Indexed (Q3), DOI:, June 2023.
    3. Md. Mottahir Alam, Md. Moddassir Alam, Hidayath Mirza, Nishat Sultana, Nazia Sultana, Amjad Ali Pasha, Asif Irshad Khan, Aasim Zafar and Mohammad Tauheed Ahmad, “A Novel COVID-19 Diagnostic System Using Biosensor Incorporated Artificial Intelligence Technique”, Diagnostics 2023, 13(11), 1886, May 2023,
      SCIE Indexed (Q2), 
      DOI: .
    4. M. A. Wajid, Aasim Zafar, M. S. Wajid & H. Terashima-Marin, “Neutrosophic-CNN-based Image and Text Fusion for Multimodal Classification”, Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, May 2023, SCIE Indexed (Q2), DOI: 10.3233/JIFS-223752.
    5. Sheikh Burhan ul haque and Aasim Zafar, “Untargeted white?box adversarial attack to break into deepleaning based COVID?19 monitoring face mask detection system”, Multimedia Tools and Applications, May 2023, SCIE Indexed (Q1), DOI:
    6. S. A. Ansari and Aasim Zafar, “Multi Video Summarization Using Query Based Deep Optimization Algorithm”, International Journal of Machine Learning and Cybernetics, April 2023, SCIE Indexed (Q1), DOI:
    1. Khalid Anwar, Aasim Zafar, Arshad Iqbal, Shahab Saquib Sohail, Amir Hussain, Yeliz Karaca, Mohammad Haji, Abdul Khader Jilani Saudagar, Khan Muhammad, “Artificial Intelligence-Driven Approach to Identify and Recommend the Winner in a Tied Event in Sports Surveillance”, Fractals, April 2023, SCIE Indexed (Q1), DOI: 10.1142/S0218348X23401497.
    2. Sheikh Burhan ul haque and Aasim Zafar, “RRFMDS: Rapid Real Time Face Mask Detection System for Effective COVID?19 Monitoring”, SN Computer Science, 4, 288 (2023), March 2023, Scopus Indexed (Q2), DOI:
    3. Asif Irshad Khan, Aasim Zafar, Abdulmohsen Almalawi, Mohammed Saad Assiri, Abdulaziz Attaallah, Md Mottahir Alam, "A Smart Healthcare System Based on Predator Crow Optimization for Predicting Cardiovascular Diseases", Computer Systems Science and Engineering, March 2023, Scopus and SCIE Indexed (Q3).
    4. K. Anwar, Aasim Zafar, A. Iqbal, “Neutrosophic MCDM Approach for Performance Evaluation and Recommendation of Best Players in Sports League”, International Journal of Neutrosophic Science (IJNS), Volume 20, Issue 1, PP: 128-149, January 2023, Scopus Indexed (Q3), DOI:
    5. Mohd Yasir, Aasim Zafar and Mohd Anas Wajid, “NEP-2020's Implementation & Execution: A Study Conducted Using Neutrosophic PESTEL Analysis”, International Journal of Neutrosophic Science (IJNS), Volume 20, Issue 2, PP: 86-106, January 2023, Scopus Indexed (Q3), DOI:
    6. Mohd Anas Wajid and Aasim Zafar, "Neutrosophic Image Segmentation: An Approach for the Treatment of Uncertainty in Multimodal Information Systems”, International Journal of Neutrosophic Science, Volume 19 , Issue 1, PP: 217-230, September 2022, Scopus Indexed (Q3), DOI:
    7. S. Kharya, E. M. Onyema, Aasim Zafar, M. A. Wajid, R. K. Afriyie, T. Swarnkar, and S. Soni, “Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets”, Computational Intelligence and Neuroscience, Volume 2022, Article ID 3813705, Scopus and SCIE Indexed (Q1), DOI:
    8. S. A. Ansari and Aasim Zafar, “A Fusion of Dolphin Swarm Optimization and Improved Sine Cosine Algorithm for Automatic Detection and Classification of Objects from Surveillance Videos”, Measurement, Volume 192, March 2022, SCIE Indexed (Q1), DOI:
    9. K. Roshan and Aasim Zafar, “Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation (SHAP)”, International Journal of Computer Networks & Communications (IJCNC), Vol. 13, No. 6, November 2021, pp. 109-128, Scopus indexed (Q4), DOI: 10.5121/ijcnc.2021.13607.
    10. Mohd Anas Wajid and Aasim Zafar, "Multimodal Fusion: A Review, Taxonomy, Open Challenges, Research Roadmap and Future Directions", Neutrosophic Sets and Systems, vol. 45, September 2021, pp. 96-120, Web of Science and Scopus indexed (Q3), DOI: 10.5281/zenodo.5485570.
    11. Mohd Anas Wajid and Aasim Zafar, “PESTEL Analysis to Identify Key Barriers to Smart Cities Development in India”, Neutrosophic Sets and Systems, vol. 42, April 2021, pp. 39-48, Web of Science and Scopus indexed (Q3), DOI: 10.5281/zenodo.4711497.
    12. Aasim Zafar and Mohd Anas Wajid, "A Mathematical Model to Analyze the Role of Uncertain and Indeterminate Factors in the Spread of Pandemics like COVID-19 Using Neutrosophy: A Case Study of India", Neutrosophic Sets and Systems, vol. 38, December 2020, pp. 214-226, Web of Science and Scopus indexed (Q3), DOI: 10.5281/zenodo.4300498.
    13. Aasim Zafar and Arshad Iqbal, "Application of Soft Computing Techniques in Machine Reading of Quranic Kufic Manuscripts", Journal of King Saud University - Computer and Information Sciences, First Published version available Online-30-April-2020, Web of Science and Scopus indexed (Q1), DOI: 10.1016/j.jksuci.2020.04.017.
    14. Aasim Zafar and Mohd Anas, "Neutrosophic Cognitive Maps for Situation Analysis", Neutrosophic Sets and Systems, vol. 29, October 2019, pp. 78-88, Web of Science and Scopus indexed (Q3), DOI: 10.5281/zenodo.3514407.
    15. S. H. Hasan, D. M. Alghazzawi and Aasim Zafar, "Integrating Java Coding into Project Based Learning in M-Learning Environment", Malaysian Journal of Computer Science (MJCS), Vol.30(2), 2017, pp:91-98, Web of Science and Scopus indexed (Q4).
    16. Aasim Zafar and Ibrahim Albidewi, “Evaluation Study of eLGuide: A Framework for Adaptive e-Learning”, Computer Applications in Engineering Education, Volume 23, Issue 4, Pages 542–555, July 2015, Web of Science-indexed SCIE indexed (Q1), (ISSN: 1061-3773, EISSN: 1099-0542), DOI: 10.1002/cae.21625.
    17. Aasim Zafar and S. H. Hasan, “A Novel Scheme for Information Retrieval from e-Learning Repository”, Malaysian Journal of Computer Sciences (MJCS), Vol.28(1), 2015. pp:16-27, Web of Science and Scopus indexed (Q4).

    For Detail list of Publications, please refer my CV.

Assignment Sheet-CSM5021-04October2018
TCP/IP Programming-Unit-IV:Communication Security
TCP/IP Programming-Unit-II:Overview of TCP/IP Protocols
TCP/IP Programming-Unit-I:Overview of TCP/IP Programming
Assignment Sheet - CSM4001 - LastDate 24April2018
CSM-5021: TCP/IP Programming - Unit III Socket Programming
MCA-Vth Semester Assignment for CSM-5021:TCP/IP Programming
Lab Manual BCA-III Semester CCB-3P1 - 2017-18
Lab Manual BCA-V Semester - CCB-5P2 - Seminar Presentation - 2017-18
Lab Manual BCA-V Semester - CCB-5P1 - Mini Project - 2017-18
Lab Manual BCA-I Semester - CCB-1P1 - 2017-18
Lab Manual MCA-I Semester - CSM-11P1 - 2017-18
Lab Manual MCA-III Semester - CSM-3071 - Mini Project-2017-18
Lab Manual MCA-V Semester - CSM-5071 - Mini Project 2017-18
Assignment Sheet-CSM4001-LastDate29April2017
Introduction to Computer Networks-Chapter#1
Format for Final Project Report
Essentials of Data Communication
Reliable Data transfer
Network Classification
Introduction to Computer Networks
Internet terms and definitions
Design Issue for the Layers
Assignment Sheet-Network Programming-CSM4401-9April2019
Assignment Sheet-Data Communication and Computer Netwroks-CSM3304-04October2019
Lab Manual MCA II 2020
Lab Manual MCA IV 2020
CSM-4401 Network Programming - Unit I -Overview of TCP-IP
CSM-4401 Network Programming - Unit II - Routing Algorithms
CSM-4401 Network Programming - Unit III - Socket Programming
CSM-4401 Network Programming - Unit IV - Coomunication Security
CSM-4401 Firewalls and VPN-Unit IV
CSM-4401 Secure Communications Protocols-IPSec-VPN-WEP - Unit IV
CSM-4401 TCP-IP model overview - Unit I
Assignment#1-CSM4401-Last Date of Submission-19April2020
Assignment Sheet#2-Network Programming-CSM4401-26April2020
Assignment#4-Network Programming-CSM4401-4-10April2019
Assignment#1: CSM-3304
Routing Algorithms, Congestion Control Algorithms, QoS
Hierarchical Routing
Routing in Mobile Hosts
CSM-4401 Network Programming - Unit I -Overview of TCP-IP
CSM-4401 Network Programming - Unit II - Routing Algorithms
CSM-4401 Network Programming - Unit III - Socket Programming
CSM-4401 Network Programming - Unit IV - Communication Security
Firewalls and VPN
Secure Communications Protocols-IPSec-VPN-WEP
Assignment-CSM-4401-Network Programming-May2021