معرفی
Raktim Kumar Mondol is a PhD candidate and Tutor at the University of New South Wales (UNSW), Faculty of Engineering, School of Computer Science and Engineering. He specializes in computer vision, bioinformatics, multimodal analysis, and deep learning with a focus on medical applications.
Education:
- PhD in Computer Science and Engineering (ongoing) at UNSW
- MEng in Engineering with High Distinction from RMIT University, Australia (2019)
- B.Sc. in Electrical and Electronic Engineering with High Distinction from BRAC University (2013)
Research Interests: His research primarily focuses on histopathological image analysis, clinical prognosis prediction, and enhancing clinical understanding through interpretable computational models. He works at the intersection of computer vision, deep learning, and healthcare applications, with particular emphasis on making AI models transparent and useful for healthcare professionals. His work spans multimodal risk prediction, survival analysis in oncology, and the integration of diverse data types to improve patient outcome forecasting.
Research Trends: Analysis of his publications reveals a strong trajectory in applying deep learning to medical image analysis, particularly in oncology. His work increasingly emphasizes model interpretability and clinical utility, moving from basic computer vision applications toward integrated multimodal approaches that combine imaging data with clinical metrics for more accurate prognosis prediction.
Awards and Recognition:
- Research Training Program (RTP) Scholarship for Doctoral Research Studies (2021)
- Masters by Research with High Distinction (2019)
- RMIT Research Stipend Scholarship (2017)
- RMIT Research International Tuition Fee Scholarship (2017)
- Vice Chancellor Award from BRAC University (2013)
- Multiple Dean Awards from BRAC University (2010-2011)
Teaching and Mentoring: Mr. Mondol serves as a tutor for several advanced computer science courses at UNSW including COMP9444 (Neural Networks and Deep Learning), COMP9517 (Computer Vision), and COMP9414 (Artificial Intelligence). His teaching directly complements his research interests, allowing him to integrate current research findings into the classroom.
