Dr. Muhammad Bilal

Faculty Member

Dr. Muhammad Bilal

Assistant Professor (PhD)

HEC Approved PhD Supervisor
(+9251 111 128 128) 3409
muhammad.bilal@isb.nu.edu.pk

Education

Postdoc (NLP & AI), University of Florida, 2025

PhD (Computer Science), Taylor's University, 2021

MS (Project Management), COMSATS University Islamabad, 2016

BS (Hons.) (Software Engineering), University of Sargodha, 2013

Summary

Dr. Muhammad Bilal is currently working as an Assistant Professor in the Department of Software Engineering at FAST National University of Computer and Emerging Sciences (NUCES), Islamabad Campus, Pakistan. He has postdoctoral experience from the University of Florida, USA. Previously, he served as a Senior Lecturer at Sunway University?s School of Engineering and Technology and as an Assistant Professor at the University of Southampton Malaysia. He also held positions as an Assistant Professor and Incharge in the Department of Software Engineering at FAST NUCES, Chiniot-Faisalabad (CFD) Campus, Pakistan. Earlier in his career, he worked as a Tutor at the School of Computer Science and Engineering at Taylor?s University in Subang Jaya, Malaysia, for three years. He has more than four years of experience as a Lecturer at the Department of Computer Science and Information Technology at the University of Sargodha, Sargodha, Pakistan. Additionally, he gained practical experience as a Software Developer at Sofizar in Lahore. Dr. Bilal earned his Ph.D. degree from Taylor?s University, Subang Jaya, Malaysia, and received a MS degree from COMSATS University Islamabad, Islamabad, Pakistan, as well as a BS degree with Distinction (Bronze Medal) from the University of Sargodha, Sargodha, Pakistan. He was awarded the Taylor?s Ph.D. Scholarship from 2018 to 2021 and has authored and co-authored several journal and conference research papers. His research interests encompass a wide range of topics, including natural language processing, data mining, social computing, machine learning, information processing, social media data analytics, and software engineering. Dr. Bilal has also been granted a Faculty Research Support Grant for his project titled ?Detecting Mis/Disinformation and Reducing Information Overload in Social Media Platforms Using Machine Learning.

Publications

Journal Papers

  1. Bilal, M., & Almazroi, A. A., Effectiveness of Fine-Tuned BERT Model in Classification of Helpful and Unhelpful Online Customer Reviews, Electronic Commerce Research
  2. Zandbiglari, K., Kumar, S., Bilal, M., Goodin, A., & Rouhizadeh, M., Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation, Journal of Biomedical Informatics
  3. Bilal, M., Malik, N., Khalid, M., & Lali, M. I. U., Exploring Industrial Demand Trend’s in Pakistan Software Industry Using Online Job Portal Data, University of Sindh Journal of Information and Communication Technology
  4. Arshad, M.H., Bilal, M., & Gani, A., Human Activity Recognition: Review, Taxonomy and Open Challenges, Sensors
  5. Hamza, A., Bilal, M., Ramzan, M., Malik, N., Effectiveness of Encoder-Decoder Deep Learning Approach for Colorectal Polyp Segmentation in Colonoscopy Images, Applied Intelligence, Springer
  6. Zahid, M., Ahmed, F., Javaid, N., Abbasi, R. A., Kazmi, Z., Syeda, H., ... & Ilahi, M., Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids, Electronics
  7. Ramzan, M., Abid, A., Bilal, M., Aamir, K. M., Memon, S. A., & Chung, T. S., Effectiveness of Pre-Trained CNN Networks for Detecting Abnormal Activities in Online Exams, IEEE Access
  8. Ahmad, A., Bilal, M., Latif, K., & Zainab, 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
  9. Hashem, I.A., Siddiqa, A., Alaba, F.A., Bilal, M. & Alhashmi, S.M., Distributed Intelligence for IoT-based Smart Cities: A Survey, Neural Computing and Applications
  10. Aamir, K. M., Sarfraz, L., Ramzan, M., Bilal, M., Shafi, J., & Attique, M., A Fuzzy Rule-Based System for Classification of Diabetes, Sensors
  11. Xu M, Cui J, Ma X, Zou Z, Xin Z, Bilal M., Image enhancement with art design: a visual feature approach with a CNN-transformer fusion model, PeerJ Computer Science
  12. Nawaz, M. S., Bilal, M., Lali, M. I., Ul Mustafa, R., Aslam, W., & Jajja, S., Effectiveness of social media data in healthcare communication, Journal of Medical Imaging and Health Informatics

Conference Papers

  1. Butt, H., Javaid, N., Bilal, M., Naqvi, S. A. A., Saif, T., & Tehreem, K., Integration of Cloud-Fog Based Environment with Smart Grid, International Conference on Intelligent Networking and Collaborative Systems, Springer
  2. Khan, M., Javaid, N., Iqbal, M. N., Bilal, M., Zaidi, S. F. A., & Raza, R. A., Load Prediction Based on Multivariate Time Series Forecasting for Energy Consumption and Behavioral Analytics, Conference on Complex, Intelligent, and Software Intensive Systems, Springer
  3. Bilal, M., Gani, A., Marjani, M., & Malik, N., A Study on Detection and Monitoring of Water Quality and Flow, 12th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), IEEE
  4. Razaq, F., Bilal, M., Ramzan, M., Naveed, M., & Razzaq, S., Computer-Aided Potato Disease Detection by Using Deep Learning Techniques, International Conference on Green Energy, Computing and Intelligent Technology, Springer Nature Singapore