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Details of Mr. K. M. Tahsin Kabir

Home  /  Faculty Members  /  Mr. K. M. Tahsin Kabir

K. M. Tahsin Kabir received his B.Sc. in Computer Science and Engineering from the American International University–Bangladesh (AIUB) in 2025. He is currently a Lecturer in the Department of Computer Science and Engineering at the Asian University of Bangladesh. He previously served as a Research Intern at the Applied Intelligence and Informatics Lab, Nottingham, U.K. His research interests include machine learning, artificial intelligence, biomedical engineering, and data analytics for sustainable development. He has published several papers in IEEE, Springer, and Scopus-indexed venues. Mr. Kabir has been recognized on the Dean’s List multiple times for academic excellence and actively participates in national and international conferences.

Research and Publication

Journals

Published Papers

  1. PoXeptionNet: Accelerating Pox Disease Identification Usinga Dual Neural Network Fusing Xception and EfficientNetB0 Architectures. Mahin Montasir Afif; Abdullah Al Noman; K. M. Tahsin Kabir; Sunipun Seemanta; Md. Mortuza Ahmmed; Md. Obaidur Rahman; Jasim Uddin; Wai-Keung Fung. IEEE Access, 2026. DOI: 10.1109/ACCESS.2026.3664510. Electronic ISSN: 2169-3536. [Q1] (IEEE Access)
  2. Reviewing Impacts of Academic Pressure on Mental Health Through Automatic Online Assessment. K. M. Tahsin Kabir, Kabir, Md. Sayem., Mian Mohammad Rassel, Tasnim Sultana Sintheia, Kazi Tanvir, Mohamed Kaisarul Haq, Farzana Nazera, & Valliappan Raju. (2024). Journal of Reproducible Research, 2(2), 135–143.

Conference

Published Papers

1. PT-TwinDCNN: A Dual-Stream Deep Learning Model for Arsenic-Induced Skin Lesions Classification. M. S. Kabir, K. Tanvir, T. S. Sintheia, M. M. Rassel, K. M. T. Kabir, M. F. K. Chowdhury. Proceedings of the 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1–6. DOI: 10.1109/QPAIN66474.2025.11172180 [IEEE: Scopus, Q4]
2. Machine Learning Perspectives on Safe Motherhood Determinants in Bangladesh. K. M. Tahsin Kabir, M.N. Noor, M. Mortuza Ahmmed. ICDAI 2024, Lecture Notes in Networks and Systems, vol 1233, Springer, Singapore, 2025. DOI: 10.1007/978-981-96-3287-9_1 [Scopus: LNNS, Q4]
3. Quantitative Insights into Renewable Energy: A Statistical Perspective on Solar, Wind, and Hydro Energy in Bangladesh. S. Puri, M.M. Ahmmed, V. Choudhary, K. M. Tahsin Kabir, M.M. Rassel. MMCITRE 2024, Lecture Notes in Networks and Systems, vol 1192, Springer, Singapore, 2025. DOI: 10.1007/978-981-96-1449-3_39 [Scopus: LNNS, Q4]
4. Mapping Bangladesh’s Healthcare Outside Government Influence: A Statistical Approach. M. Ahmmed, S.Puri, V. Choudhary, K. M. Tahsin Kabir, M.M. Rassel. MMCITRE 2024, Lecture Notes in Networks and Systems, vol 1192, Springer, Singapore, 2025. DOI: 10.1007/978-981-96-1449-3_35 [Scopus: LNNS, Q4]
5. AI-Driven Hybrid Approach to Optimizing Dragonfruit Quality Assessment for Sustainable Agriculture. M. F. K. Chowdhury, M. S. Kabir, S. M. Rohan, K. M. T. Kabir, K. Tanvir, M. M. Rahman. 2024 27th ICCIT, Cox’s Bazar, Bangladesh, pp. 1582–1587. DOI: 10.1109/ICCIT64611.2024.11021877 [IEEE, Scopus: Q4]
6. Enhancing Watermelon Diseases Detection using Dense-EfficientNet and Explainable AI. J. Islam, M. S. Kabir, K. M. Tahsin Kabir, T. S. Sintheia, K. Tanvir, D. Gomes. 2024 27th ICCIT, Cox’s Bazar, Bangladesh, pp. 1452–1457. DOI: 10.1109/ICCIT64611.2024.11021973 [IEEE, Scopus: Q4]
7. Explainability in Orange Disease Detection through a Res-Inception Framework Integrating Deep Learning Techniques. T. Kazi, S. A. Tanim, M. S. Kabir, K. M. T. Kabir, M. M. Rassel, M. F. A. Sohan. Procedia Computer Science, vol. 258, pp. 2597–2606, 2025. DOI: 10.1016/j.procs.2025.04.521 [Scopus: Procedia, Q2]
8. Unveiling Bangladesh’s Climate Tapestry: A Quantitative Exploration of Change. M. M. Rassel, K. M. Tahsin Kabir, M. M. Ahmmed. ICISET 2024, Chittagong, Bangladesh, pp. 1–6. DOI: 10.1109/ICISET62123.2024.10939161 [IEEE, Scopus: Q4]
9. A Statistical Odyssey: Mapping the Current and Future Terrain of Wind Energy in Bangladesh. S. Puri, M.M. Ahmmed, V. Choudhary, K. M. T. Kabir, E. Haque, M. N. Noor. AIP Conference Proceedings, vol. 3253(1), 030005, 2025. DOI: 10.1063/5.0248581 [Scopus: Q4]
10. Safe Birth Predictors: A Machine Learning Study in the Context of Bangladesh. M. M. Ahmmed, K. M. Tahsin Kabir, M. N. Noor, M. Babu, V. Bhatnagar. ICICV 2024, Lecture Notes in Networks and Systems, vol 1116, Springer, Singapore. DOI: 10.1007/978-981-97-6995-7_6 [Scopus: Q4]
11. From Remittances to Revolution: Blockchain’s Potential to Transform Social Interactions and Financial Inclusion in Bangladesh. K. M. Tahsin Kabir, M. M. Rassel, M. M. Islam, M. M. Ahmmed, S. Puri, M. A. Babu. ICICV 2024, Lecture Notes in Networks and Systems, vol 1116, Springer, Singapore. DOI: 10.1007/978-981-97-6995-7_8 [Scopus: Q4]
12. Dengue Dynamics in Bangladesh: Unveiling Insights through Statistical and Machine Learning Analysis. M. M. Ahmmed, M. A. Babu, M. M. Rahman, M. N. Noor, K. M. T. Kabir, M. M. Islam, S. S. Rafith. Lecture Notes in Networks and Systems, pp. 599–613, 2024. DOI: 10.1007/978-981-97-3937-0_41 [Scopus: Q4]

Presented Papers (Full Papers)

  • Exploring Wind Energy Opportunities in Jashore, Bangladesh: A Comprehensive Analysis using Rayleigh and Weibull Models by Shalini Puri, Md. Mortuza Ahmmed, K. M. Tahsin Kabir, at IEEE Contemporary Computing Innovations Conference 2026 by Mohan Babu University held at Mohan Babu University, Tirupati, India on 6–7 February 2026. [IEEE: Scopus, Q4]
  • Capturing Dialectal Variation in Code-Mixed Banglish through Multi-Task Transformers by Hasin Almas Sifat, Koushik Biswas Arko, Abida Afrin, K. M. Tahsin Kabir, Abdullah Rakib Akand, Md. Mortuza Ahmmed at 11th IEEE WIECON–ECE 2025 by IEEE Bangladesh Section and IEEE Women in Engineering (WIE) Affinity Group Bangladesh Section, held at Long Beach Hotel, Cox’s Bazar, Bangladesh on 21–22 Dec 2025. [IEEE: Scopus [Q4]]
  • CBiG: A Deep Learning-Based Hybrid Model for Early Diabetes Detection with Explainable AI by Mahin Montasir Afif, Abdullah Al Noman, Koushik Biswas Arko, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, M. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu at 5th International Conference on Trends in Electronics and Health Informatics (TEHI 2025) by Samarkand State University named after Sharof Rashidov, Samarkand, Uzbekistan on 7–8 Nov 2025. [Scopus: LNNS, Q4]
  • CBC-ViT: Blood Cell Type Classification Using a Hybrid Convolutional Multi-Head Attention Vision Transformer with Explainable AI by Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir, Koushik Biswas Arko, Md. Mortuza Ahmmed at 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) by IEEE BDS and EMBS at Eastern University, Dhaka, Bangladesh on 29–30 November 2025. [IEEE: Scopus, Q4]
  • Sensitivity of Generative Adversarial Network Augmentation on Brain Tumor Detection Using Convolutional Neural Network by Mahin Montasir Afif, Abdullah Al Noman, Md Moynul Islam, K. M. Tahsin Kabir, Md. Mortuza Ahmmed at 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) by IEEE BDS and EMBS at Eastern University, Dhaka, Bangladesh on 29–30 November 2025. [IEEE: Scopus, Q4]
  • Optimizing and Enhancing Model Performance in the Analysis of Male Domestic Violence with XAI by Md. Sayem Kabir, K. M. Tahsin Kabir, Tasnim Sultana Sintheia, Mian Mohammad Rassel, Md. Saef Ullah Miah at 5th International Conference on Applied Intelligence and Informatics (AII 2025) by AII on 28–30 Oct 2025. [Scopus: CCIS, Q2]
  • Improving Future Safety with Robotics in Disaster Management (DM) in Bangladesh. K. M. T. Kabir, Koushik Biswas Arko, Mahin Montasir Afif, Md. Mortuza Ahmmed, M. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu. Proceedings of the 3rd International Conference on Data Analytics and Insights (ICDAI-2025), August 28–30, 2025. Lecture Notes in Networks and Systems (Springer Nature). [Scopus: LNNS, Q4]
  • Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability. K. M. T. Kabir, Asif Aman Jihad, Mahin Montasir Afif, Md. Mortuza Ahmmed, M. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu. Proceedings of the 3rd International Conference on Data Analytics and Insights (ICDAI 2025), August 28–30, 2025. Lecture Notes in Networks and Systems, Springer Nature. [Scopus: LNNS, Q4]
  • City Lights, Dimming Diversity: A Statistical Analysis of Urbanization’s Impact on Biodiversity in Bangladesh by K. M. Tahsin Kabir, Sunipun Seemanta, Md. Mortuza Ahmmed, Md Saef Ullah Miah, Goh Kah Ong Michael in 5th International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2025), Multimedia University Cyberjaya, Malaysia, 21–23 July 2025. [Scopus Indexed: AIP Conf. Proceeding, Q4]

Accepted Papers

  • ProtestPulseBD: Identifying Social Movement Dynamics through Topic Modeling and Temporal Sentiment Shifts on Social Media by Mahin Montasir Afif, Md. Fahim Kabir Chowdhury, Abdullah Al Noman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, at IEEE QPAIN 2026. [Accepted with Minor Revision; IEEE, Scopus]
  • VignaX-Net: Explainable Vision Transformer–Based Early Classification of Black Gram Leaf Diseases by Md. Fahim Kabir Chowdhury, Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, at IEEE QPAIN 2026. [Accepted with Minor Revision; IEEE, Scopus]
  • SoilSyncX: A Low-Cost IoT-Enabled Smart Irrigation System with LSTM-Based Drought Detection and Real-Time Web Monitoring by Koushik Biswas Arko, Md. Jobarul Islam, Mahin Montasir Afif, Md Anjir Jaman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, at IEEE QPAIN 2026. [Accepted with Minor Revision; IEEE, Scopus]

Book Chapter

Published Papers

1. Puri, S., Ahmmed, M. M., Dadhich, A., Punhani, R., Kabir, T., Rassel, M. M., & Noor, M. N. (2025). Towards a Greener Tomorrow: Unpacking the Current and Future Outlook of Renewable Energy in Bangladesh. In R. Pandey, N. Srivastava, R. Prasad, J. Prasad, & M. Garcia (Eds.), Open AI and Computational Intelligence for Society 5.0 (pp. 157–174). IGI Global Scientific Publishing. Link [Scopus: Q4]

Accepted Papers

1. Afif, M. M., Noman, A. A., Kabir, K. M. T., Ahmmed, M. M., Babu, M. A., & Lahby, M. (2025). RivUNet: An Attention-Gated Deep U-Net for Water Body Segmentation in Satellite Imagery to Enhance River Encroachment Monitoring. In Generative AI and Optimization Techniques for Sustainable Water Management. Springer. [Scopus: Q3]