Muhammad Tayyab
Senior Lecturer
Department of Computer Science, Shifa School of Computing.
tayyab.ssc@stmu.edu.pk

Google Scholar:https://scholar.google.co.uk/citations?user=Muhammad Tayyab
Publon Profile: https://publons.com/dashboard/summary/

MUHAMMAD TAYYAB has received a Ph.D. degree in computer science from Taylor’s University, Subang Jaya, Malaysia. 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 a senior lecturer at Shifa school of computing, Shifa Tameer-e-Millat University, Islamabad.  He has seven years of experience in a well-reputed university from 2014 till now. 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.

Publications:

Journal Publications

  1. 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 Science Review, 2021.IF= 7.07
  2. 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” Under Review
  3. 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
  4. 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).
  5. 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).
  6. 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
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