Muhammad Bilal

Muhammad Bilal,

Postdoctoral Asssociate

Department: Pharmaceutical Outcomes & Policy
Business Phone: (352) 273-6268
Business Email: muhammad.bilal@ufl.edu

About Muhammad Bilal

Muhammad Bilal is currently working as a Postdoctoral Associate – NLP and AI at University of Florida. 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 National University of Computer and Emerging Sciences (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 in Project Management from COMSATS University Islamabad, Islamabad, Pakistan, as well as a BS degree in Software Engineering 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.”

Accomplishments

Taylor’s PhD Scholarship
2018 · Taylor's University, Selangor, Malaysia
Bronze Medal
2013 · University of Sargodha, Punjab, Pakistan

Research Profile

Open Researcher and Contributor ID (ORCID)

0000-0002-9827-5023

Areas of Interest
  • Artificial Intelligence
  • Big data analytics
  • Data Integration
  • Deep Learning
  • Machine Learning
  • Social Media Analysis for Health and Well-Being

Publications

2024
Effectiveness of Pre-Trained CNN Networks for Detecting Abnormal Activities in Online Exams
IEEE Access. 12:21503-21519 [DOI] 10.1109/access.2024.3359689.
2023
Classification of Helpful and Unhelpful Online Customer Reviews Using XLNet and BERT Variants
International Conference on Green Energy, Computing and Intelligent Technology. [DOI] https://doi.org/10.1007/978-981-99-9833-3_18.
2023
Effectiveness of fine-tuned BERT model in classification of helpful and unhelpful online customer reviews
Electronic Commerce Research. 23(4) [DOI]  https://doi.org/10.1007/s10660-022-09560-w.
2023
Next Generation Infectious Diseases Monitoring Gages via Incremental Federated Learning: Current Trends and Future Possibilities
Computational Intelligence and Neuroscience. 2023
2022
Analysing Machine Learning Techniques for Cyberbullying Detection: A Review Study
.
2022
BD-ECG: Identification of Myocardial Infarction in ECG via Behavior Coupling
.
2022
Human activity recognition: Review, taxonomy and open challenges
Sensors. 22(17)
2022
Skin cancer detection using combined decision of deep learners
IEEE Access. 10
2021
A fuzzy rule-based system for classification of diabetes
Sensors. 21(23)
2021
Modeling class diagram using nlp in object-oriented designing
2021 National Computing Colleges Conference (NCCC). [DOI] https://doi.org/10.1109/NCCC49330.2021.9428817.
2021
Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer reviews
Electronic Commerce Research and Applications. 45
2020
Smart cities data: Framework, applications, and challenges
Handbook of smart cities.
2019
Predicting elections: Social media data and techniques
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2019
Predicting helpfulness of crowd-sourced reviews: A survey
.
2019
Profiling and predicting the cumulative helpfulness (Quality) of crowd-sourced reviews
Information. 10(10)
2019
Social profiling: A review, taxonomy, and challenges
Cyberpsychology, Behavior, and Social Networking. 22(7)
2017
Effectiveness of social media data in healthcare communication
Journal of Medical Imaging and Health Informatics. 7(6) [DOI] https://doi.org/10.1166/jmihi.2017.2148.

Contact Details

Phones:
Business:
(352) 273-6268
Emails:
Addresses:
Business Street:
1225 CENTER DR
GAINESVILLE FL 32610