Bangladesh Army International University of Science and Technology

Cumilla, Bangladesh

BAIUST

Md. Fahim Kabir Chowdhury

Lecturer

fahim.cse@baiust.ac.bd

• AI
• Machine learning  
• Concatenation Layer,
• Confusion Matrix,
• Data Augmentation,
• Deep Learning,
• Image Augmentation,
• Image Resampling

M.Sc. in Computer Science and Engineering
Bangladesh University of Professionals (BUP)
(Ongoing)

B.Sc. in Computer Science and Engineering
American International University Bangladesh (AIUB)
passing Year: 2023

Lecturer, CSE
Metropolitan University
(2023 – 2024)

Lecturer, CSE
Port City International University
(2024 – 2025)

Lecturer, CSE
Bangladesh Army International University of Science and Technology (BAIUST)
(2025 – Present )

Publications

  • A Low-Cost IoT and Machine Learning-Based Web Application for Smart Hydroponic Horticulture and Plant Disease Detection – 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2026 https://doi.org/10.1109/ICECTE69292.2026.11429402 [IEEE, Scopus: Q4]
  • LC cancer classification using Lightweight ShuffleNetV2 & TDO-Optimized GNB with xAI – 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (IEEE QPAIN), Accepted 2026 https://doi.org/10.1109/QPAIN69676.2026.11546415 [IEEE, Scopus: Q4]
  • Automated Paratuberculosis Diagnosis Using Pyramid Vision Transformer and Metaheuristic-Optimized Random Forest – International Conference on Electrical, Computer and Communication Technologies (ECCT 2026), Accepted 2026
  • ProtestPulseBD: Identifying Social Movement Dynamics in Bangladesh through Topic Modeling and Temporal Sentiment Shifts on Social Media – 4th International Conference on Data Analytics and Insights (ICDAI-2026), Techno International New Town, Kolkata, Accepted 2026
  • Securing Agent to Agent Communication via Multi-Class Information-Flow Control – 4th International Conference on Computing Advancements (ICCA 2026), Accepted 2026
  • FractureNet: An Optimized Hybrid Transformer–Ensemble Architecture for Bone Fracture Detection in Multi-Region X-ray Images – 6th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2026), Bali, Indonesia, Accepted 2026.
  • Usage and Perceptions of Generative AI in Learning among University Students in Bangladesh – 6th International Applied Intelligence and Informatics (AII 2026) London, UK, Accepted 2026.
  • RegNetX–FPA–KNN: An Explainable Hybrid Framework for Tulsi Leaf Classification – The First WiDS NSU International Conference (2026) Hosted by North South University, part of WiDS Worldwide initiative, founded at Stanford University, Accepted 2026.

 

  • PT-TwinDCNN A Dual-Stream Deep Learning Model for Arsenic-Induced Skin Lesions Classification – International Conference on Quantum Photonics, Artificial Intelligence, and Networking (IEEE QPAIN),2025. https://doi.org/10.1109/QPAIN66474.2025.11172180 [IEEE, Scopus: Q4]
  • Enhancing Jackfruit Leaf Diseases Classification using Res-NASNet model with xAI – 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), Accepted 2025
  • Hybrid CNN-Based Automated Betel Leaf Disease Detection Using XAI – 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), Accepted 2025
  • Capsule Endoscopy Image Classification using ResNeXt & VCS-Optimized KNN with XAI – IEEE International Conference on Signal Processing, Information, Communication and Systems 2025, (SPICSCON 2025), 2025 https://doi.org/10.1109/SPICSCON69221.2025.11504272 [IEEE, Scopus: Q4]
  • Colonoscopy Classification using PVT-Xception ensemble Framework with Explainable AI – IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health 2025(IEEE BECITHCON 2025),2025 https://doi.org/10.1109/BECITHCON69222.2025.11504223 [IEEE, Scopus: Q4]

 

AI-Driven Hybrid Approach to Optimizing Dragonfruit Quality Assessment for Sustainable Agriculture – 27th International Conference on Computer and Information Technology (ICCIT), 2024.  https://doi.org/10.1109/ICCIT64611.2024.11021877 [IEEE, Scopus: Q4]