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Muhammad Bilal

Muhammad Bilal

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

Introduction

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.

Interest

Data mining

social computing

machine learning

information processing

social media data analytics

software engineering.

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. Arshad, M.H., Bilal, M., & Gani, A. (2022). Human Activity Recognition: Review, Taxonomy and Open Challenges. Sensors, 22(17), 6463. (ISI Indexed)

2. Bilal, M., & Almazroi, A. A. (2022). Effectiveness of Fine-Tuned BERT Model in Classification of Helpful and Unhelpful Online Customer Reviews. Electronic Commerce Research, 1-21. (ISI Indexed)

3. Aamir, K. M., Sarfraz, L., Ramzan, M., Bilal, M., Shafi, J., & Attique, M. (2021). A Fuzzy Rule-Based System for Classification of Diabetes. Sensors, 21(23), 8095. (ISI Indexed).

4. 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. (ISI Indexed).

5. 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. (HEC “Y-Category”).

6. 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. (ISI Indexed).

7. 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. (ISI Indexed)

8. 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. (Scopus, ESCI Indexed).

9. 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. Information, 10, 295. (Scopus, ESCI Indexed)

10. Bilal, M., Gani, A., Lali, M. I. U., Marjani, M., & Malik, N. (2019). Social Profiling: A Review, Taxonomy, and Challenges. Cyberpsychology, Behavior, and Social Networking, 22(7), 433-450. (ISI Indexed)

11. Fatima, A., Javaid, N., Anjum Butt, A., Sultana, T., Hussain, W., Bilal, M., … & Ilahi, M. (2019). An Enhanced Multi-Objective Gray Wolf Optimization for Virtual Machine Placement in Cloud Data Centers. Electronics, 8(2), 218. (ISI Indexed)

12. Zahid, M., Ahmed, F., Javaid, N., Abbasi, R. A., Kazmi, Z., Syeda, H., … & Ilahi, M. (2019). Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids. Electronics, 8(2), 122. (ISI Indexed)

13. Fatima, A., Javaid, N., Sultana, T., Hussain, W., Bilal, M., Shabbir, S., … & Ilahi, M. (2018). Virtual Machine Placement via Bin Packing in Cloud Data Centers. Electronics, 7(12), 389. (ISI Indexed)

14. 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 Informatics, 7(6), 1365-1371. (ISI Indexed)

15. Bilal, M., Malik, N., Khalid, M., & Lali, M. I. U. (2017). Exploring Industrial Demand Trend’s in Pakistan Software Industry Using Online Job Portal Data. University of Sindh Journal of Information and Communication Technology, 1(1), 17-24. (HEC “Y-Category”)

Conferences and Book Chapters

1. Iqbal, U., Wah, T. Y., Ur Rehman, M. H., Bilal, M., & Ahmed, A. (2022, May). BD-ECG: Identification of Myocardial Infarction in ECG via Behavior Coupling. In 2022 the 6th International Conference on Information System and Data Mining (pp. 76-80). ACM.

2. 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.

3. Bilal M. et al. (2020). Smart Cities Data: Framework, Applications, and Challenges. In: Augusto J. (eds) Handbook of Smart Cities. Springer, Cham.

4. 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.

5. 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.

6. 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.

7. Mateen, A., Javaid, N., Bilal, M., Farooq, M. A., Khan, Z. A., & Riaz, F. (2019, February). Towards Optimizing Energy Efficiency and Alleviating Void Holes in UWSN. In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 516-527). Springer, Cham.

8. 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.

9. 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.

10. Ullah, R., Amjid, A., Javaid, N., Bilal, M., Rehman, A. U., & Khan, M. (2018, April). Collaborative Buildings-to-Cloud Communication and Comparison of Service Broker Policies in Smart Grid. In 2018 21st Saudi Computer Society National Computer Conference (NCC) (pp. 1-6). IEEE.

11. Khan, M., Javaid, N., Iqbal, M. N., Bilal, M., Zaidi, S. F. A., & Raza, R. A. (2018, July). Load Prediction Based on Multivariate Time Series Forecasting for Energy Consumption and Behavioral Analytics. In Conference on Complex, Intelligent, and Software Intensive Systems (pp. 305-316). Springer, Cham.

12. Butt, H., Javaid, N., Bilal, M., Naqvi, S. A. A., Saif, T., & Tehreem, K. (2018, September). Integration of Cloud-Fog Based Environment with Smart Grid. In International Conference on Intelligent Networking and Collaborative Systems (pp. 423-436). Springer, Cham.

Collaborations at National and International Level

Detail of Funded Projects

 

  1. PKR 3,00,000, FAST National University of Computer and Emerging Sciences, Faculty Research Support Grant (FRSG-Fall-2021), Project titled “Detecting Mis/Disinformation and Reducing Information Overload in Social Media Platforms using Machine Learning”. (3 Jan 2022 – 31 Dec 2022)