Musfequa Rahman | Chattogram Veterinary and Animal Sciences University

Musfequa Rahman, is a Lecturer at Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh. A dedicated researcher and lecturer with a specialization in Machine Learning, Deep Learning, Data Science. My research spans a diverse array of topics including computer vision, natural language processing (NLP), and multimodal machine learning. I earned both my B.Sc. (Engg.) and M.Sc. (Engg.) in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh. Particularly interested in the intersection of deep learning, human computer interaction, bio-medical field and multimodal data, with the goal of advancing models that are both accurate and interpretable.

Research Interests

computer vision , nlp , biomedical , hci , multimodal , machine learning in food science

Experience

Teaching

•	Lecturer in Physical and Mathematical Sciences, Chattogram Veterinary and Animal Sciences University (CVASU) from June 30, 2024 to Present
•	Lecturer in Computer Science and Engineering, University of Asia Pacific (UAP) from Jan. 4, 2024 to June 27, 2024
•	Lecturer in Computer Science and Engineering, Uttara University from July 27, 2023 to Dec. 31, 2023

Teaching : Current Courses

Undergraduate

Course Name	Course Code	Department
Introductory Computer Science	ICS-102	Department of Physical and Mathematical Sciences
Computer Science	CSC-101	Faculty of Fisheries
Basic Electrical and Electronic Engineering	EEE- 201	Department of Physical and Mathematical Sciences
Engineering Drawing	END-201	Department of Physical and Mathematical Sciences
Physics-I	PHC- 101	Department of Physical and Mathematical Sciences
Physics-II	PHC- 102	Department of Physical and Mathematical Sciences

Contact

Email:
musfequa@cvasu.ac.bd
musfequa3147@gmail.com

Location

507, Yousuf Chowdhury Building, Department of Physical and Mathematical Sciences, Faculty of Food Science and Technology,,
Khulshi, Chattogram Main Campus..

Qualifications

Educational Qualifications

Degree	Institute	Discipline	Passing Year
M.Sc. (Engg.) in Computer Science and Engineering	Chittagong University of Engineering & Technology (CUET)	Computer Science and Engineering	2025
B.Sc. (Engg.) in Computer Science and Engineering	Chittagong University of Engineering & Technology (CUET)	Computer Science and Engineering	2023
HSC	BAF Shaheen College, Dhaka	Science	2017
SSC	Jan-E-Alam Sharker High School & College	Science	2015

Honours

Research Grants

Assessment of Artificial Food Colorants in Processed Foods: A Machine Learning Approach to Evaluate Consumer Perception and Health Risks in Bangladeshi Markets, Principal Investigator, Funded by Higher Education and Research division, Chattogram Veterinary and Animal Sciences University, Khulshi, Chattogram for the fiscal year 2024-25

Publications

Publications

Google Scholar: https://scholar.google.com/citations?user=a5OQmGoAAAAJ&hl=en

Research Gate: https://www.researchgate.net/profile/Musfequa-Rahman/research

S. Tahmina, M. Rahman, S. M. M. Hossain and K. Deb, "CounterfeitFace: A Convolution Neural Network Approach to Face Spoof Detection," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 2606-2611, doi: 10.1109/ICCIT64611.2024.11022069.
M. Rahman, M. Al-Mamun Provath, K. Deb, P. Kumar Dhar and T. Shimamura, "CAMFusion: Context-Aware Multi-Modal Fusion Framework for Detecting Sarcasm and Humor Integrating Video and Textual Cues," in IEEE Access, vol. 13, pp. 42530-42546, 2025, doi: 10.1109/ACCESS.2025.3535694.
M. Al-Mamun Provath, M. Rahman, K. Deb, P. Kumar Dhar and T. Shimamura, "DeepGuard: Enhancing Violence Detection in Smart Cities Through Deep Learning," in IEEE Access, vol. 13, pp. 58759-58777, 2025, doi: 10.1109/ACCESS.2025.3541059.
T. M. Mitul, M. Rahman and K. Deb, "A Deep Learning Based Approach for the Categorization of Actions in Cricket Videos," 2024 2nd International Conference on Information and Communication Technology (ICICT), Dhaka, Bangladesh, 2024, pp. 71-75, doi: 10.1109/ICICT64387.2024.10839726.
M. Rahman, K. Deb, P. K. Dhar and a. T. Shimamura, "ADBNet: An Attention-Guided Deep Broad Convolutional Neural Network for the Classification of Breast Cancer Histopathology Images," in IEEE Access, vol. 12, pp. 133784-133809, 2024, doi: 10.1109/ACCESS.2024.3419004.
Rahman, M., Deb, K., Jo, KH. (2023). Classifying Breast Cancer Using Deep Convolutional Neural Network Method. In: Na, I., Irie, G. (eds) Frontiers of Computer Vision. IW-FCV 2023. Communications in Computer and Information Science, vol 1857. Springer, Singapore. https://doi.org/10.1007/978-981-99-4914-4_11

Funding

Current Funding

Assessment of Artificial Food Colorants in Processed Foods: A Machine Learning Approach to Evaluate Consumer Perception and Health Risks in Bangladeshi Markets, Principal Investigator, Funded by Higher Education and Research division, Chattogram Veterinary and Animal Sciences University, Khulshi, Chattogram for the fiscal year 2024-25

Research Portfolio