About

Research focus and background

My work centers on multimodal learning, explainable AI, and transformer-based computer vision systems—especially for medical imaging and real-world deployment constraints.

Google Scholar LinkedIn CV (PDF)

Research interests

Bioinformatics, Multimodal Learning, XAI, Federated Learning, Computer Vision, Deep Learning, NLP, Transformers, Human-Computer Interaction, Medical Imaging, AI-driven Threat Detection.

Location

Dhaka, Bangladesh · Collaborations across universities and industry partners (as listed in CV).

Education

Degrees and thesis topics.

Master of Science in Computer Science and Engineering

East West University, Dhaka, Bangladesh June 2025 – Present

Data Science
  • Thesis (Ongoing): Explainable Multimodal Large Language Model for Laryngeal Cancer Diagnosis and Clinical Decision Support.

Bachelor of Science in Computer Science and Engineering

East West University, Dhaka, Bangladesh Jan 2019 – Sept 2023

Data Science CGPA: 3.17/4.00
  • Thesis: Vision-Audio Multimodal Object Recognition Using Hybrid and Tensor Fusion Techniques, published in *Information Fusion*, Elsevier, 2025.

Skills

Programming, ML/DL frameworks, and research expertise.

Programming

Python, C++, Java, PHP, JavaScript, SQL, NoSQL, HTML/CSS

Frameworks and Libraries

PyTorch, TensorFlow, OpenCV, SciPy, NLTK, spaCy, Django, Flask

Tools and Software

MATLAB, Anaconda, VS Code, Git, LaTeX

Research and Technical Expertise

Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Transfer Learning, Explainable AI, Federated Learning, Multimodal Learning, Data Preprocessing, Predictive Analytics, Model Optimization, AI-driven Decision Support Systems, Technical Writing

Mentorship and collaboration

A key part of my work is building repeatable research workflows and mentoring student researchers.

Professional activities
  • Supervision and training of undergraduate and graduate researchers in AI experimentation, data analysis, and scientific publishing (as stated in CV).
  • Regular collaboration with supervisors and research teams to address experimental challenges and publication preparation.
  • Applied deployments spanning medical imaging, agriculture, and industry settings.