About

Research focus and background

I work at the intersection of computer vision, multimodal learning, and trustworthy AI—with a strong emphasis on explainability and deployment-ready systems for medical imaging and real-world decision support.

Research interests

Bioinformatics & Medical Imaging · Computer Vision & Deep Learning · NLP & Social Network Analysis · Multimodal & Trustworthy AI · AI-driven Threat Detection · Internet of Things (IoT)

Contact

rezaulh603@gmail.com
+8801314996147
Dhaka, Bangladesh

Education

Degrees and thesis topics.

MS in Computer Science and Engineering

East West University, Dhaka, Bangladesh · Sept 2025 – Present

  • Focus: advanced AI and medical imaging research (ongoing).

B.Sc. in Computer Science and Engineering

East West University, Dhaka, Bangladesh · Sept 2017 – Jan 2022

CGPA 3.07 / 4.00
  • Thesis: Multi-class sentiment classification on Bengali social media comments using ML (published in a Q1 journal).

Technical skills

Programming, tools, and ML stack.

Programming

Python, SQL, NoSQL, Swift 5, PHP, C++, HTML/CSS, JavaScript

ML libraries

Scikit-learn, SciPy, pandas, TensorFlow, PyTorch, NLTK, spaCy, Spark MLlib, Statsmodels, Seaborn, Plotly

Tools

Anaconda, PyCharm, Django, Flask, MATLAB, Tableau, Visual Studio, ASP.NET, Xcode, LaTeX, Linux, Jira, GitHub

Specialty

Data analytics · Image processing · Signal-to-image conversion · Transfer learning · Explainable AI · Signal processing · Classification & forecasting · Project management · Technical writing

Mentorship and collaboration

Building repeatable research workflows with students and interdisciplinary teams.

Professional activities
  • Trained 300+ undergraduate and graduate students in medical image analysis, trustworthy AI systems, and research methodology.
  • Collaborated across academia and industry on clinical decision support, web deployments, and privacy-preserving pipelines.