Dr. Md Taimur Ahad

Invited Book Chapter

Ahad, M.T., Morshed, M.M., Atkins, A.S., & Yu, H. An IoT-enabled blockchain system to secure medical data. Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City.

Refereed Jounals 

Q1: Ahad, M.T., Song, B., & Li, Y. BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection. Brain Inf. (2026). https://doi.org/10.1186/s40708-026-00303-3

Q1: Ahad, M.T., Song, B., & Li, Y. A novel qVGG-4 model for optimizing a parameterized quantum circuit in a quantum-IoT-based brain tumor detection and monitoring system. Computer Methods and Programs in Biomedicine, 109362. https://doi.org/10.1016/j.cmpb.2026.109362

Q1: Ahad, M.T., Chowdhury, N.H., Ahmed, A., Noor, A.A., Song, B., & Li, Y. A lightweight convolutional neural network for real-time monitoring of smart mango orchard systems. Scientific Reports.

Q1: Ahad, M.T., Song, B., & Li, Y. A Minimal-Net CNN model for an IoT-based brain tumor detection and monitoring system. Scientific Reports.

Q1: Ahmmed, J., Ahmed, F., Kabir, M.A., Ahad, M.T., Jadoon, M.A., Rehman, A., et al. LBNet: an optimized lightweight CNN for mammographic breast cancer classification with XAI-based interpretability. Scientific Reports.

Q1: Ahad, M.T., Song, B., & Li, Y. oCCT: An Optimized Lightweight CCT for Lung and Colon Cancer Histopathological Image Classification with XAI-Based Interpretability. Neural Computing and Applications.

Q1: Ahad, M.T., Song, B., & Li, Y. A novel hybrid Graph Convolutional Network for Brain Tumor detection and classification (In Press). PLOS One.

Q1: Bhowmik, A.C., Ahad, M.T., Emon, Y.R., Ahmed, F., Song, B., & Li, Y. A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease. Smart Agricultural Technology, 8, 100500.

Q1: Ahad, M.T., Ahmed, F., Bhowmik, A.C., Mim, Z.M., Anu, A.D., & Busch, P. Exploring micro-credential affordances in Bangladeshi higher education. Education and Information Technologies, 30(10), 13565-13597.

Q1: Mustofa, S., Emon, Y.R., Mamun, S.B., Akhy, S.A., & Ahad, M.T. A novel AI-driven model for student dropout risk analysis with explainable AI insights. Computers and Education: Artificial Intelligence, 8, 100352.

Q1: Islam, R., Ahad, M.T., Ahmed, F., Song, B., & Li, Y. Mental health diagnosis from voice data using convolutional neural networks and vision transformers. Journal of Voice.

Q1: Ahad, M.T., Li, Y., Song, B., Bhuiyan, T. Comparison of CNN-based deep learning architectures for rice diseases classification. Artificial Intelligence in Agriculture, 9, 22-35.

Q2: Mamun, S.B., Payel, I.J., Ahad, M.T., Atkins, A.S., Song, B., & Li, Y. Grape Guard: A YOLO-based mobile application for detecting grape leaf diseases. Journal of Electronic Science and Technology, 23(1), 100300.

Q2: Mustofa, S., Ahad, M.T., Emon, Y.R., & Sarker, A. BDPapayaLeaf: A dataset of papaya leaf for disease detection, classification, and analysis. Data in Brief, 57, 110910.

Q2: Khanom, S., Sakib, M., Chisty, N.M., Mimi, M.A., Ahad, M.T., & Ahmed, F. Detection of Leg Tremors in Parkinson's Disease Patients: An Experimental Wearable Leg Band Solution. 2024 21st International Conference on Electrical Engineering, Computing.

Q2: Ahad, M.T., Emon, Y.R., Mustofa, S. Data of history: An open-source and multiformat wall image dataset of Panam city, a historical place. Data in Brief, 56, 110774.

Q2: Shakib, M.M.H., Mustofa, S., Ahad, M.T. MLD24: An image dataset for mango leaf disease detection. Mendeley Data 1.

Q2: Ahad, T., Busch, P. Exploring the factors influencing Mobile-based Ubiquitous System adoption in the Bangladesh RMG sector: A view through DOI and TOE. The Electronic Journal of Information Systems in Developing Countries, 90(1).

Q2: Ahad, M.T., Mustofa, S., Sarker, A., Emon, Y.R. BDPapayaLeaf: A dataset of papaya leaf for disease detection, classification, and analysis. Classification, and Analysis.

Q2: Ahad, M.T., Song, B., Li, Y. A Comparison of Convolutional Neural Network, Transfer Learning and Ensemble Technique for Brain Tumour Detection of Classification. Transfer Learning and Ensemble Technique for Brain Tumour Detection.

Q2: Shefat, S.N., Ahmed, N., Ahad, M.T. Analyzing the Impact of COVID‐19 on the Mental Health of Students. International Journal of Computer and Information System (IJCIS), 4(2), 79-86.

Q2: Woishe, M.F., Sultana, N., Bristy, T.Z., Khan, N.A., Ahad, M.T. A secured model of IoT-based smart gas detecting and automatic alarm system. International Journal of Computer and Information System, 3(2), 45-50.

Q2: Ahmed, N., Shefat, S.N., Ahad, T. Keep me in Distance: An Internet of Things based Social Distance Monitoring System in Covid19. International Journal of Advanced Networking and Applications, 13(5), 5128-5133.

Q2: Ahad, M.T., Busch, P. Mobile phone ubiquitous system adoption by manufacturing: a view through DOI and TOI. Electronic Journal of Information Systems in Developing Countries.

Q2: Sultana, N., Woishe, M.F., Bristy, T.Z., Ahad, M.T. An Efficient IoT Enabled Smart Ambulance Routing Applying LOADng Routing Protocol: Aiming to Achieve Sustainable Development Goals. Turkish Journal of Computer and Mathematics Education, 13(02), 157-170.

Q2: Woishe, M.F., Bristy, T.Z., Sultana, N., Chaity, S.K., Ahad, T. Optimizing IoT Based Parallel Server in a Low Power Operational Environment. International Journal of Advanced Networking and Applications, 13(4), 5069-5075.

Q2: Ahad, M.T., Song, B., Li, Y., Rahman, F.M.N. Research Article Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App. Mobile Information Systems, 2022(1), 5606833.

Q2: Ahad, M.T., Song, B., Li, Y., Rahman, F.M.N. Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App. Mobile Information Systems, 2022(1), 5606833.

Q2: Ahad, T., Busch, P., Blount, Y., Picoto, W. Bangladeshi ready-made garment development via ubiquitous and mobile computing. The Electronic Journal of Information Systems in Developing Countries, 87(4).

Refereed Conference Publications

2024 Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease. SB Mamun, MT Ahad, MM
Morshed, N Hossain, YR Emon, In International Conference on Trends in Computational and
Cognitive Engineering. Singapore: Springer Nature Singapore.
2024 A Fuzzy-Based Vision Transformer Model for Tea Leaf Disease Detection Check for updates.
In International Conference on Trends in Computational and Cognitive Engineering. Singapore:
Springer Nature Singapore.
2023 Blockchain-based secure refugee identity management using the assistance smartcontract Habib
et al. (2023), 2023 3rd International Conference on Robotics, Electrical and Signal ...
2016 Empowering RMG workers: towards a conceptual framework, Ahad et al., (2016),28th International
Business Information Management Association Conference.
2016 Mobile phone enabled SCM: the Bangladeshi RMG sector, Ahad et al., (2016), 28th International
Business Information ManagementAssociation Conference.
2014 Investigating the role of mobile phones in achieving of Vision2020 goals for the rural SMEs in
Bangladesh, Ahad (2014), The 24th International Business Information Management Association.
2013 Exploring M-Banking for Rural SMEs from the Bank’s Perspective: A Focus Group Study in
Bangladesh, Ahad et al. (2012), PASIC, 2013, Jeju Island. MT Ahad, LE Dyson, V Gay

🔹 CTRG Grant (2026–2027)

Amount: 420,000 BDT
Project Title: Towards a Smart Agriculture: Implementing SWARM Intelligence
Institution: North South University, Bangladesh

🔹 Research Training Program (2022–2025)

Amount: 250,000 AUD
Project Title: Brain Tumor Detection Using Deep Learning Models
Institution: University of Southern Queensland, Australia

🔹 Research Training Program (2015–2018)

Amount: 150,000 AUD
Project Title: Mobile-Based Information System for Manufacturing Organizations
Institution: Macquarie University, Australia

PhD in BioMedical Engineering, University of Southern Queensland, Australia

PhD (Computer Science), Macquarie University, Australia

MSc (Computing), UTS, Australia

Master's in IT (Web Engineering), Western Sydney University, Australia

Bachelor's in Computing (Honors), Charles Sturt University, Australia

Bachelor's in Information Systems, Southern Cross University, Australia. 

Bachelor in Arts (English), Aligarh Muslim University, India

2025 (September) to Cont: 

North South university, Bangladesh 

Assistant Professor (Department of Management)

2024 -2025 (September): Independent University of Bangladesh

Assistant Professor and Head of the Department (MIS Department)

2022 - 2024: Daffodil International University (DIU) 

Associate Professor and Associate Head (Computer Science and Engineering)

2023-2024: Daffodil International University (DIU) 

Coordinator- 4IR Research center 

2020 - 2022: American International University (AIUB)

Assistant Professor (Computer Science and Engineering)

2018-2022: Eastern University

Assistant Professor (Computer Science and Engineering)

2010-2016: Martin College, Charles Sturt University - Sydney Campus, Australia

Lecturer, Information Technology

2015-2017: Macquarie University, Australia

Casual Academic

2010-2012: University of Technology Sydney, Australia

Casual Lecturer, Information Technology

I supervised over 40 BSc and 15 MSc theses. Details are as follows:

2024:

• Investigating Eating Disorders from a Machine Learning Perspective
• Investigating Alzheimer's Disease from a Machine Learning Perspective
• Investigating Parkinson’s Disease from a Machine Learning Perspective

2023:

• A Customized Vision Transformer for Accurate Detection and Classification of Java Plumleaf Disease
  (Published in Smart Agriculture Technology, Q1)
• Mental Health Diagnosis from Voice Data Using Convolutional Neural Networks and Vision Transformers
  (Published in Journal of Voice, Q1)
• A Novel AI-Driven Model for Student Dropout Analysis with Explainable AI
  (Accepted in Computers & Education: Artificial Intelligence, Q1)

2022:

• Scratch Vision Transformer Model for Diagnosis of Grape Leaf Disease
• A Fuzzy-Based Vision Transformer Model for Tea Leaf Disease Detection
  (Published in the International Conference on Trends in Computational and Cognitive Engineering, Singapore: Springer Nature Singapore)
• Blockchain-Based Secured Refugee Identity Management Using Smart Contracts
  (Published in 2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE)
• Aiming for Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App
  (Published in Mobile Information System)