About Me

I am an Assistant Professor with over eight years of experience in teaching and research within data-centric disciplines. I serve as the Lab In-Charge of the Data Science Lab at Daffodil International University, where I coordinate research activities and supervise undergraduate and graduate students working on methodologically rigorous projects. My work is primarily situated in Computer Vision, Natural Language Processing, Machine Learning, Deep Learning, and Data Science, with an emphasis on applied and empirical research.

In addition to my academic responsibilities, I am involved in international research collaboration as a Research Assistant at Washington University of Science & Technology. This role supports collaborative research efforts in Computer Vision and Machine Learning, particularly in developing and evaluating data-driven models for real-world problems.

My broader research interests include Computer Vision, Natural Language Processing, Machine Learning, Deep Learning, Data Science, Software Engineering, Human–Computer Interaction, and Artificial Intelligence. My academic approach prioritizes careful problem formulation, reproducible experimentation, and the integration of research outcomes into teaching and student mentorship.