- 'Diffusion-based knowledge distillation for effective multi-organ segmentation with reduced computational time' (First author, equal contribution)
- 'Mammo-Light: A lightweight convolutional neural network for diagnosing breast cancer from mammography images' (First author)
- 'Atrous spatial pyramid pooling with swin transformer model for classification of gastrointestinal tract diseases from videos with enhanced explainability' (Co-first author, equal contribution)
Received scholarships such as Monash Graduate Scholarships (MGS) and Monash International Tuition Scholarship (MITS).
Research Experience
Previously worked as a Consultant-Research Assistant (Remote) at Charles Darwin University, Australia, under the supervision of Prof. Azam, contributing to several academic and industry-oriented computer vision projects that integrated Machine Learning algorithms. Started as a Research Assistant under a funded IAR grant at UIU in July 2022.
Education
Currently a Ph.D. student in the Department of Data Science and Artificial Intelligence at Monash University, Australia, specializing in Computer Vision and Machine Learning. Undergraduate studies were conducted at United International University, Bangladesh, under the supervision of Prof. Mukta and Prof. Shatabda, working on medical imaging and mental health modeling using computer vision methods.
Background
Research interests include Artificial Life, Computer Vision, Explainable Artificial Intelligence, and Large Language Models. Strongly believes in the importance of outreach in academia and actively mentors researchers from Bangladesh.
Miscellany
Personal interests include active participation in academic outreach and mentoring researchers.