Mohammad Shorfuzzaman

About

Prof. Dr. Mohammad Shorfuzzaman is a computer scientist specializing in applied AI, medical image analysis, deep learning, computer vision, big data for healthcare, data security, and IoT. Since August 2025, he has been with the College of Engineering & Advanced Computing at Alfaisal University (Riyadh, Saudi Arabia). Previously, he served as Professor of Computer Science at Taif University, leading curriculum and accreditation initiatives. He has 100+ peer-reviewed publications with 3,000+ citations, was listed in the 2023 Stanford–Elsevier global top-2% scientists, and holds CEH and CompTIA Security+ certifications. His experience includes roles at IBM T.J. Watson Research Center and Canadian universities, and ~1M SAR in funded projects across AI, big data, e-health, and cloud computing. He earned a Ph.D. and M.Sc. in Computer Science from the University of Manitoba, Canada and a B.Sc. in CSE from BUET.

Employment

• Alfaisal University Professor of Advanced Computing
  2025 - Present
• Taif University Professor
  2022 - 2025
• Taif University Associate Professor
  2018 - 2022
• Taif University Assistant Professor
  2013 - 2018
• Kwantlen Polytechnic University Instructor
  2012 - 2013

Education

• University of Manitoba PhD
  2006 - 2012
• University of Manitoba M.Sc.
  2003 - 2005
• Bangladesh University of Engineering and Technology BSc Engg
  1996 - 2001

Projects & Funding

• Taif University Researchers' Support Project Taif University
  2020 - 2022

Publications (54)

• PIWAD: A Physics-Informed Framework for Cyber-Physical Attack Detection in IoT-Enabled Water Systems
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3745593
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• Early Diabetic Retinopathy Cyber-Physical Detection System Using Attention-Guided Deep CNN Fusion
  IEEE Transactions on Network Science and Engineering 2025 DOI: 10.1109/TNSE.2025.3541138
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• An Enhanced Vehicle-to-Vehicle Wireless Power Transfer System for Electric Vehicle Applications Using a Reconfigurable Coil Approach
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3527513
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• Enhancing ECG Report Generation With Domain-Specific Tokenization for Improved Medical NLP Accuracy
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3567566
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• IoT—A Promising Solution to Energy Management in Smart Buildings: A Systematic Review, Applications, Barriers, and Future Scope
  Mukilan Poyyamozhi, Balasubramanian Murugesan, Rajamanickam Narayanamoorthi +2 more
  Buildings 2024 DOI: 10.3390/buildings14113446
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• Design and Control of Four-Port Non-Isolated SEPIC Converter for Hybrid Renewable Energy Systems
  Anuradha Chandrasekar, Vijayalakshmi Subramanian, Rajamanickam Narayanamoorthi +2 more
  Sustainability 2024 DOI: 10.3390/su16198423
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• Enhancing Power and Thermal Gradient of Solar Photovoltaic Panels with Torched Fly-Ash Tiles for Greener Buildings
  Mukilan Poyyamozhi, Balasubramanian Murugesan, Rajamanickam Narayanamoorthi +3 more
  Sustainability 2024 DOI: 10.3390/su16188172
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• Sustainable Concrete Roof Tiles: Integrating Aluminium Foil, Fly Ash, Solar PV, and Management
  Mukilan Poyyamozhi, Balasubramanian Murugesan, Rajamanickam Narayanamoorthi +3 more
  Sustainability 2024 DOI: 10.3390/su16188257
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• Enhancing Sustainable Transportation Infrastructure Management: A High-Accuracy, FPGA-Based System for Emergency Vehicle Classification
  M Pemila, R K Pongiannan, Rajamanickam Narayanamoorthi +2 more
  Sustainability 2024 DOI: 10.3390/su16166917
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• A Dual Receiver Inherent Hybrid CC-CV Topology With Half Active Rectifier Control Scheme for Semi-Dynamic WRIPT Electric Vehicle Charging System
  J Rahulkumar, Rajamanickam Narayanamoorthi, Mohammad Shorfuzzaman +1 more
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3496535
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• Czekanowsky Hypergraph-Based Deep Learning Classifier for Precision Cyclone Forecasting
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3433425
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• Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3510565
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• MetaParkinson: A Cyber-Physical Deep Meta-Learning Framework for n-Shot Diagnosis and Monitoring of Parkinson's Patients
  IEEE Systems Journal 2023 DOI: 10.1109/JSYST.2023.3308333
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• Peer-to-Peer Power Energy Trading in Blockchain Using Efficient Machine Learning Model
  Sustainability 2023 DOI: 10.3390/su151813640
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• Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks
  ACM Transactions on Internet Technology 2023 DOI: 10.1145/3533430
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• IoT-enabled stacked ensemble of deep neural networks for the diagnosis of COVID-19 using chest CT scans
  Computing 2023 DOI: 10.1007/s00607-021-00971-5
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• Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism
  IEEE Open Journal of Instrumentation and Measurement 2023 DOI: 10.1109/OJIM.2023.3303944
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• Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images
  Adnan Ahmed Rafique, Amal Al‐Rasheed, Amel Ksibi

  +7 more

  • Manel Farouk Ayadi
  • Ahmad Jalal
  • Khaled Alnowaiser
  • Hossam Meshref
  • Mohammad Shorfuzzaman
  • +2 more
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3234281
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• Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare Systems
  Randhir Kumar, Prabhat Kumar, Rakesh Tripathi +3 more
  IEEE Transactions on Industrial Informatics 2022 DOI: 10.1109/TII.2022.3161631
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• Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis
  Sensors 2022 DOI: 10.3390/s22186786
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