Papers

1. Sufian, M.A., Alsadder. L, Hamzi.W., ,Zaman.S., Sagar.A. S. M. S., Hamzi.B.(2024).Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics MDPI, Diagnostics 2024, 14(23), 2675, PMID: 39682584 Q1.
2. Sufian, M.A., Niu, M., and Miah, M.S. (2024).Trailblazing Multi-Phase Machine Learning Framework for Clinical Validation in Triple-Negative Breast Cancer Diagnosis: Integrating Advanced Imaging and Prognostic Analysis Techniques BMC Cancer,Springer, Accepted Q1.
3. Sufian.M.A., Hamzi,W.;Sharifi,T.;Zaman, S.;Alsadder,L.;Abdoun M.N.; Varadarajan,J.; Agha,S.; Hamzi,B. (2024). AI-Driven Thoracic X-ray Diagnostics: Transformative Transfer Learning for Clinical Validation in Pulmonary Radiography.J. Pers. Med. 2024, 14(8), 856, Journal of Personalised Medicine, MDPI, PMID: 39202047 Q1.
4. Sufian, M.A.;Hamzi,W.;Zaman,S.;Alsadder,L.;Hamzi,B.;Varadarajan,J.;Azad,M.A.K. 2024 Enhancing Clinical Validation of Cardiovascular Disease Prediction: Integrating Simulation, AI, and Web Tech for Early Cardiovascular Disease Detection. Diagnostics 2024, 14, 1308, MDPI, PMID: 38928723 Q1.
5. Sufian, M.A.;Hamzi, W.;Hamzi,B.; Sagar,A.S.M.S.;Rahman, M.;Varadarajan,J.; Hanumanthu, M.;Azad, M.A.K. 2024 Innovative Machine Learning Strategies for Early Detection and Prevention of Pregnancy Loss: The Vitamin D Connection and Gestational Health. Diagnostics 2024,14, 920, MDPI, PMID: 38732334Q1.
6. Sufian, M.A., Varadarajan, J. & Niu, M., 2024 Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research. Heliyon,Elsevier, 10(7), e28547, PMID: 38623197Q1.
7. Sufian, M.A.,Niu, M., 2024 Hybrid Deep Learning for Computational Precision in Cardiac MRI Segmentation: Integrating Autoencoders, CNNs, and RNNs for Enhanced Structural AnalysisAccepted, Computers in Biology and Medicine, CIBM-D-24-067341 Q1.
8. Sufian, M.A. (2024) Developing Trading Strategies in Decentralized Markets Prediction by Using AI, ML, and Blockchain Technology1st ed.In: Blockchain and AI-The Intersection of Trust and Intelligence. CRC Press, Taylor & Francis Group, Chapter 3. ISBN 9780367753313
9. Sufian, M.A., Levesley, J. (2023)Machine Learning and Sustainability Metrics: Optimising Risk Assessment and Default Prediction vol-1, pp 377–414., Springer
10. Sufian, M.A., Boomer,J. (2024)Optimizing E-Sports Revenue: A Novel Data Driven Approach to Predicting Merchandise Sales Through Data Analytics and Machine Learning vol3.pp 522–567, Springer
11. Islam.M.A & Sufian, M.A. (2023). Employing AI and ML for Data Analytics on Key Indicators: Enhancing Smart City Urban Services and Dashboard-Driven Leadership and Decision-Making Emerald Publishing Limited,Tylor & Francis, ISBN: 978-1-83753-023-6, eISBN: 978-1-83753-022-9, Publication date: 25 October 2023.
12. Varadarajan, J. & Sufian, M.A. (2023).Neuro App: AI-driven 4D brain image processing on standalone platforms.Journal of Computer Engineering & Information Technology.ISSN: 2324-9307 Published: 21-09-2023.
13. Sufian, M.A. and Varadarajan, J.,2023.Revolutionizing Cardiac Care: Exploring the Synergy Between Entrepreneurial Ecosystems and 3D Deep Learning for Enhanced Heart Imaging in MedTech.Salient Journal of Cardiology (ISSN 2994-774X) , 2(1), pp.1-36.
14. Sufian, M.A., Miah, M.S., Niu, Mb. (2024)Bridging Social Media and Cryptocurrency: A Deep Learning-Based Twitter Sentiment Analysis for Bitcoin Market vol7.pp 231–256, Springer
15. Sufian, M.A. (2022).The Impact of Consumer Decision Making Process towards Apparel Buying in the U.K. International Journal of Scientific Research and Engineering Development, ijsred, Volume 5 Issue 3, Page(s): 1241-1269.
16. Sufian, M.A. Hannan.M.A.(2016).Comparative Study Of Fastness Properties And Color Absorbance Criteria Of Conventional And Avitera Reactive Dyeing On Cotton Knit Fabric. European Scientific Journal, ESJ, 12(15), 352.




Contribution in Others' Papers as Co-Author

1. Islam, M.A., Islam, R., Chowdhury, S.A., Nur, A.H., Sufian, M.A., Hasan, M. (2024). Assessing Cybersecurity Threats: The Application of NLP in Advanced Threat Intelligence Systems . Recent Trends and Advances in Artificial Intelligence. ICAETA 2024. Lecture Notes in Networks and Systems, vol 1138. Springer, Cham.
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