Profile

Rohul Amin is a Lecturer in the Department of Computer Science and Engineering at Bangladesh Army University of Science and Technology and a postgraduate student pursuing an M.Sc. Engineering in CSE at Rajshahi University of Engineering and Technology. His academic and research activities span machine learning, medical AI, computer vision, federated learning, explainable artificial intelligence, image forgery detection, and healthcare-oriented large language model systems. He completed his B.Sc. Engineering in CSE from BAUST with a CGPA of 3.88 and is continuing his graduate studies with a CGPA of 3.75 (up to the second semester). Alongside teaching undergraduate courses and supervising student learning activities, he actively contributes to interdisciplinary research with publications and submissions in internationally recognized journals and conferences. His recent works include research on clinical decision support systems, image classification, social media image forgery detection, Bangla sign language recognition, cyberbullying detection, and parallel search optimization techniques. He has also worked as a Teaching Assistant and mentor, developing educational content and conducting training sessions on programming, algorithms, machine learning, and technical writing.

M.Sc. Engineering in Computer Science and Engineering (CSE) Mar 2025 – Present
Rajshahi University of Engineering and Technology (RUET), Rajshahi
CGPA: 3.75 (up to 2nd Semester)

B.Sc. Engineering in Computer Science and Engineering (CSE) Dec 2019 – Dec 2023
Bangladesh Army University of Science and Technology (BAUST), Saidpur, Nilphamari
CGPA: 3.88

Lecturer Feb 2026 – Present
Dept. of CSE, Bangladesh Army University of Science and Technology (BAUST), On Site – Khulna

Lecturer Jul 2024 – Feb 2026
Dept. of CSE, Bangladesh Army University of Science and Technology (BAUST), On Site – Nilphamari

• Develop and deliver lectures for undergraduate students, assess performance, and provide constructive feedback.

• Advise students on academic and career planning.

• Conduct research in Computer Science and publish findings.

• Participate in curriculum development, organize and lead academic events.

Teaching Assistant Jan 2024 – Jul 2024
Dept. of CSE, Bangladesh Army University of Science and Technology (BAUST), On Site – Nilphamari

• Develop course materials, assist with lectures, and engage with students.

Mentor Apr 2023 – Jul 2024
Sohoj Coding, Remote – Dhaka

• Develop and organize well-structured courses covering programming languages, Data Structures and Algorithms, Machine Learning, and Technical Writing.

• Conduct masterclasses providing in-depth insights into specific programming topics, practical tips, and advanced concepts.

Journals:
1. S. Hossain and R. Amin, “Intelligent Dual Optimization of a Compact Defected Ground Microstrip Antenna for High-Performance Early Brain Tumor Detection at 2.5 GHz,” Measurement, Under Peer Review.

2. M. M. R. Rana, M. A. Rahman, K. H. Talukder, R. Amin, W. Bouchelligua, A. Ksibi, and M. A. Samad, “FIDF: A Multi-View Discrepancy-Gated Hypergraph Framework for Social Media Image Forgery Detection using FIDD-13000,” Applied Sciences, submitted.

3. R. Amin, S. Ahmed, S. Aktar, and M. M. R. Rana, “ASEM: An Attention-Augmented Stacking Ensemble Framework for Explainable and Generalizable Clinical Disease Prediction Across Heterogeneous Datasets,” SN Computer Science, Under Peer Review.

4. R. Amin, S. Aktar, and M. M. R. Rana, “Distribution-Aware Federated Learning for Diabetes Prediction Using Tabular Clinical Data
Under Non-IID and Class-Imbalanced Settings”, SN Computer Science, Under Peer Review.

5. R. Amin, S. Aktar, and M. M. R. Rana, Z. Aktar “Symbolic Execution of Consensus Guidelines Achieves 75.7% Accuracy on the MIMIC-IV-Ext CDM Benchmark: A Normative Baseline for LLM Clinical Decision-Making”, 4 of 2,237 Network Modeling Analysis in Health Informatics and Bioinformatics, submitted.

6. R. Amin, S. Aktar, and M. M. R. Rana, Z. Aktar, “An Agentic Large Language Model Pipeline for Automated Triage, Documentation, and Decision Support in Acute Abdominal Surgical Emergencies”, Journal of Medical Systems, submitted.

7. R. Amin, Q.M. Rahman, S. Aktar, M. M. R. Rana “ProCAMMix: Progressive Class Activation Map Guided Mixing Augmentation with Semantic Label Correction for Image Classification”, International Journal of Machine Learning and Cybernetics, submitted.

8. R. Amin, M. M. R. Rana, M. Hossain, S. M. A. S. Prodhan, F. A. Farid, S. Mansur, and A. S. M. Miah, “Improve the Performance of Search Processes in Large linked lists using Multi-threading and Caching Techniques”, Journal of Tianjin University of Science and Technology, Accepted.

Conferences:
1. M. A. Mandal, S. S. Khushi, M. Z. Hassan, A. Ali, S. Ahmed and R. Amin, “Image Surface Micro-Texture Classification Using an Ensemble Deep Learning Technique,” 2025 28th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2025, pp. 4112-4117, doi: 10.1109/ICCIT68739.2025.11490109.

2. R. Amin, M. M. Rahman Tusher, M. K. Syfullah, S. M. J. Alam, M. Manirujjaman and F. Faisal, “Enhancing Bangla Sign Language Recognition with Max Voting Ensemble”, 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox’s Bazar, Bangladesh, 2024, pp. 1-6, doi: 10.1109/COMPAS60761.2024.1079 6802.

3. M. K. Syfullah, R. Amin, M. Manirujjaman, M. M. Hasan, M. Ragib Abid and S. Ahmed, “Detecting and Understanding Cyberbullying in Bengali: An Explainable AI Approach”, 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), Cox’s Bazar, Bangladesh, 2024, pp. 1-7, doi: 10.1109/COMPAS60761.2024.10797170.

4. N. Ahmed, S. N. Romiz, R. Amin, M. S. Shan and M. Mahmud, “Drivers Real time Drowsiness, Attention Detection and Alarm System using Eye Aspect Ratio(EAR) Analysis”, 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-4, doi: 10.1109/ICAEEE62219.2024.10561659.