Muhammad Bilal

Assistant Professor
  • Department of Computer Science
  • bilal.m@nu.edu.pk
  • (041) 111-128-128
  • Ext: 127

Introduction

  • Interests:
  • Data mining, social computing, machine learning, information processing, social media data analytics, and software engineering.

Muhammad Bilal joined FAST National University of Computer and Emerging Sciences (NUCES), Chiniot-Faisalabad (CFD) Campus, Pakistan as an Assistant Professor in August 2021. Before joining NUCES he worked as a Tutor for three years at the School of Computer Science and Engineering, Taylor’s University, Subang Jaya, Malaysia. He has served more than four years as a Lecturer with the Department of CS and IT, University of Sargodha, Sargodha, Pakistan. He also worked as a Software Developer in Sofizar, Lahore.

He has published several research articles in journals and conferences. His research interests include data mining, social computing, machine learning, information processing, social media data analytics, and software engineering.

 

Honors and Awards:

Taylor’s Ph.D. Scholarship 2018-21 worth MYR 170,000 approx.

Taylor’s Conference allowance of MYR 6,000

3rd Position (Bronze Medal) in BS Software Engineering

Fauji Foundation Distinction Achievement Award.

Education

Ph.D. (CS), Taylor’s University, Malaysia (2021)

MS (PM), COMSATS University Islamabad, Pakistan (2016)

BS (SE), University of Sargodha, Pakistan (2013)

Publications

Journal Publications

  1. Shamim, A., Qureshi, M. A., Jabeen, F., Liaqat, M., Bilal, M., Jembre, Y. Z., & Attique, M. (2021). Multi-Attribute Online Decision-Making Driven by Opinion Mining. Mathematics, 9(8), 833.
  2. Ahmad, A., Bilal, M., Latif, K., & Zainab (2021). A Study of Project Management Processes for Sustainable and Successful Projects in Software Industry: Expectations vs Perceptions of Managers. Journal of Accounting and Finance in Emerging Economies, 7(1), 103-115.
  3. Bilal, M., Marjani, M., Hashem, I. A. T., Malik, N., Lali, M. I. U., & Gani, A. (2021). Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer reviews. Electronic Commerce Research and Applications, 45, 101026.
  4. Bilal, M., Marjani, M., Lali, M. I., Malik, N., Gani, A., & Hashem, I. A. T. (2020). Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”. IEEE Access, 8, 77227-77244.
  5. Bilal, M., Gani, A., Liaqat, M., Bashir, N., & Malik, N. (2020). Risk Assessment Across Life Cycle Phases for Small and Medium Software Projects. Journal of Engineering Science and Technology, 15(1), 572-588.
  6. Bilal, M., Marjani, M., Hashem, I.A.T., Gani, A., Liaqat, M., Ko, K. (2019). Profiling and Predicting the Cumulative Helpfulness (Quality) of Crowd-Sourced Reviews. Information10, 295.
  7. Bilal, M., Gani, A., Lali, M. I. U., Marjani, M., & Malik, N. (2019). Social Profiling: A Review, Taxonomy, and Challenges. Cyberpsychology, Behavior, and Social Networking22(7), 433-450.
  8. Nawaz, M. S., Bilal, M., Lali, M. I., Ul Mustafa, R., Aslam, W., & Jajja, S. (2017). Effectiveness of social media data in healthcare communication. Journal of Medical Imaging and Health Informatics7(6), 1365-1371.

 

Conferences and Book Chapters

  1. Bashir, N., Bilal, M., Liaqat, M., Marjani, M., Malik, N., & Ali, M. (2021, March). Modeling Class Diagram using NLP in Object-Oriented Designing. In 2021 National Computing Colleges Conference (NCCC) (pp. 1-6). IEEE.
  2. Bilal et al. (2020). Smart Cities Data: Framework, Applications, and Challenges. In: Augusto J. (eds) Handbook of Smart Cities. Springer, Cham.
  3. Bilal, M., Marjani, M., Hashem, I. A. T., Abdullahi, A. M., Tayyab, M., & Gani, A. (2019, December). Predicting helpfulness of crowd-sourced reviews: A survey. 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (pp. 1-8). IEEE.
  4. Bilal, M., Malik, N., Bashir, N., Marjani, M., Hashem, I. A. T., & Gani, A. (2019, December). Profiling Social Media Campaigns and Political Influence: The Case of Pakistani Politics. 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (pp. 1-7). IEEE.
  5. Bilal, M., Gani, A., Marjani, M., & Malik, N. (2019, February). Predicting Elections: Social Media Data and Techniques. 5th International Conference on Engineering & Emerging Technologies (2019-ICEET), IEEE.
  6. Bilal, M., Gani, A., Marjani, M., & Malik, N. (2018, November). A Study on Detection and Monitoring of Water Quality and Flow. 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), IEEE.
  7. Tiwana, M. S., Javeed, F., Lali, I. U., Dar, H., & Bilal, M. (2018, October). Comparative Analysis of Context Based Classification Of Twitter. Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA 2018), IEEE.