Dr. Muhammad Tayyab

Assistant Professor,

Department of Computing, Shifa School of Computing.

Shifa Tameer-e-Millat University, Islamabad.

tayyab.ssc@stmu.edu.pk

MUHAMMAD TAYYAB has been working as Assistant Professor at Department of computing since November 2021. He has ten years of teaching experience in national and international universities. He has received a Ph.D. degree in computer science from Taylor’s University, Subang Jaya, Malaysia which is number 1 private university in Asia. His area of specialization in Ph.D. is information security, security of Deep Learning algorithms, and Machine Learning algorithms. He has received MS degree in Information security with majors in information security, big data, and cloud computing from COMSATS University Islamabad campus, Pakistan, and a Bachelor of Computer Engineering (BCE) from Bahira University Islamabad. Currently, he is working as Assistant Professor at Shifa school of computing, Shifa Tameer-e-Millat University, Islamabad. His area of interest includes Information security, Deep Learning, big data, applied cryptography, and Data Science. He has research publications in well-reputed journals and conferences. Dr. Tayyab has been associated with education for last 10 years and had participated more than 10 FYPs for BS students. He has been associated with UMT Sialkot for 2 years as lecturer and 3 years with COMSATS Islamabad as a research associate under the supervision of Dr. Abid khan and Dr. Mansoor Ali. Beside teaching, he is active researcher and have published 6 impact journal paper with commutative IF= 11.25 in couple of years. He has authored three book chapters, and more than 6 papers in IEEE and ACM conferences. During his PhD research, Dr. Tayyab has been associated with 4 industrial workshops and member of trainings like Hadoop, Kafka, rapid RapidMiner, and pig related to data science analytics. Moreover, he has also worked as junior lecturer at Taylor’s University Malaysia where main responsibility was to take undergraduate classes, tutorials, and labs.  

Publications:

Journal Publications

  1. Siddiqui, Maraj Uddin Ahmed, Faizan Qamar, Muhammad Tayyab, MHD Nour Hindia, Quang Ngoc Nguyen, and Rosilah Hassan. “Mobility Management Issues and Solutions in 5G-and-Beyond Networks: A Comprehensive Review.” Electronics 11, no. 9 (2022): 1366.
  2. Muhammad Tayyab, Mohsen Marjani, Noor Zaman Jhanjhi, Ibrahim Abaker Targio Hashem, Raja Sher Afgun Usmani, Faizan Qamar,” A Comprehensive Review on Deep Learning Algorithms: Security and Privacy Issues” Under Review in Computers and security, 2021.IF= 5.10
  3. Muhammad Tayyab, Mohsen Marjani, Noor Zaman Jhanjhi, Ibrahim Abaker Targio Hashem, Raja Sher Afgun Usmani,” A Watermark-Based Model for Ensuring Data Security and Robustness against Poisoning and Evasion attacks for Deep Learning Algorithms” accepted for publication in JESTEC
  4. Muhammad Tayyab, Mohsen Marjani, N.Z. Jhanjhi, Abdulaleem Ali Almazroi, Abdulwahab Ali Almazroi,” Cryptographic Based Secure Model on Dataset Using Deep Learning Algorithms”, Computer Material & Continua (CMC), DOI:10.32604/cmc.2021.017199, IF= 4.89
  5. Junaid Haseeb, Muhammad Tayyab, Khizar Hameed, Samia Rehman, Muhammad Junaid “ODSA: A Novel Ordering Divisional Scheduling Algorithm for Modern Operating System”, International Journal of Advanced Computer Science and Applications (IJACSA), vol. 8, no. 7, 2017 (ISI-Indexed) (Researchgate IF= 0.63).
  6. Rida Maryam, Adnan Naseem, Junaid Haseeb, Khizar Hameed, Muhammad Tayyab “Introducing Time based Competitive Advantage in IT Sector with Simulation”, International Journal of Advanced Computer Science and Applications (IJACSA), vol. 8, no. 7, 2017 (ISI-Indexed) (Researchgate IF= 0.63).
  7. Syed Hassnain Faraz, Adnan Naseem, Junaid Haseeb, Shahid Bashir, Muhammad Tayyab, “A Simulation: Impact of communication factors for the success of GSD ”JURNAL KOMUNIKASI MALAYSIAN JOURNAL OF COMMUNICATION , (ISI-Indexed) (Annual ISSN:2289151X) (Accepted 2017)

Conference Publications

  • Tayyab, M., Marjani, M., Jhanjhi, N. Z., Hashem, I. A. T. (2021, March). A Light-weight Watermarking-Based Framework on Dataset Using Deep Learning Algorithms. In 2021 National Computing Colleges Conference (NCCC) (pp. 1-6). IEEE.
  • Tayyab, M., Marjani, M., Jhanjhi, N. Z., Hashem, I. A. T. Usmani R. S. A (2021,May). A Light-weight Digital Signatures Based Secure Model on Daily COVID-19 Dataset for Deep Learning Algorithms . 15th Eureca 2021 International Engineering and Computing Research Conference. Accepted for Presentation
  • Khizar Hameed, Junaid Haseeb, Muhammad Tayyab, Muhammad Junaid, Talal Bin Maqsood, Mustahsan Hammad Naqvi “Secure Provenance in Wireless Sensor Networks- A Survey of Provenance Schemes”,IEEE 2017 International Conference on Communication, Computing and Digital Systems (C-CODE), Islamabad, Pakistan, 2017, pp. 11-16. doi: 10.1109/CCODE.2017.7918893
  • Faiqa Maqsood, Khizar Hameed, Junaid Haseeb, Muhammad Tayyab, Agha Mohammad Musa “Performance Evaluation of Cryptographic Techniques ”,International Conference on Innovative Engineering Technologies, Proceedings of 59th The IRES International Conference, Rawalpindi, Pakistan, pp. 27, 2017 ISBN: 978-93-86291-97-4
  • Muhammad Tayyab, Samia Rehman, Junaid Haseeb, Khizar, Shahid Bashir, “ODSA: A Novel Ordering Divisional Scheduling Algorithm for Modern Operating System”, International Conference on Innovative Engineering Technologies, Proceedings of 59th The IRES International Conference, Rawalpindi, Pakistan, pp. 34, 2017 ISBN: 978-93- 8629197-4

Book Chapters

  1. Usmani, Raja Sher Afgun, Anum Saeed, and Muhammad Tayyab. “Role of ICT for community in education during COVID-19.” In ICT Solutions for Improving Smart Communities in Asia, pp. 125-150. IGI Global, 2021.
  2. Bilal, Muhammad, Raja Sher Afgun Usmani, Muhammad Tayyab, Abdullahi Akibu Mahmoud, Reem Mohamed Abdalla, Mohsen Marjani, Thulasyammal Ramiah Pillai, and Ibrahim Abaker Targio Hashem. “Smart cities data: Framework, applications, and challenges.” Handbook of smart cities (2020): 1-29.
  3. Alex, Suja A., S. Ponkamali, T. R. Andrew, N. Z. Jhanjhi, and Muhammad Tayyab. “Machine Learning-Based Wearable Devices for Smart Healthcare Application With Risk Factor Monitoring.” In Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence, pp. 174-185. IGI Global, 2022.