Dr. Kaushiki Roy
Assistant Professor
Computer Science & Engineering Department
Introduction
Dr. Kaushiki Roy is an Assistant Professor in the Department of Computer Science and Engineering at
the Indian Institute of Information Technology Raichur. She received her Ph.D. in Computer Science
and Engineering from Jadavpur University.
Her research focuses on medical image analysis, deep learning, and automated lesion detection from
CT, microscopy, and time-lapse images for accurate disease diagnosis. She develops hybrid deep
learning models, segmentation frameworks, and ensemble methods for biomedical applications.
She has published multiple journal and conference papers, received several national and
international fellowships and awards, and actively mentors students in AI, computer vision, and
biomedical imaging projects.
Research Interests
- Medical Image Processing
- Deep Learning
- Machine Learning
- Pattern Recognition
- Multimodal Image Segmentation and Classification
Education
Ph.D. in Computer Science and Engineering
Jadavpur University, India
M.Tech in Computer Science and Engineering
Jadavpur University, India
B.Tech in Computer Science and Engineering
West Bengal University of Technology (WBUT), India
Experience
- Postdoctoral Fellow, Czech Technical University, Czech Republic (Dec 2024 – Oct 2025)
- Assistant Professor, Techno Main Salt Lake, Kolkata (Apr 2024 – Nov 2024)
- Assistant Professor, Institute of Engineering and Management, Kolkata (Jan 2023 – Apr 2024)
- Senior Research Fellow (DST INSPIRE), Govt. of India (Aug 2017 – Aug 2022)
- Overseas Visiting Doctoral Fellow, University of Alberta, Canada (May 2019 – Aug 2020)
Awards & Fellowships
- M.Tech Gold Medalist
- DST INSPIRE Ph.D. Fellowship
- SERB Overseas Visiting Doctoral Fellowship
- CTU Global Postdoctoral Fellowship, Czech Technical University
- KTH Digital Future Fellowship, Sweden
Publications
- Kaushiki Roy, Debapriya Banik, Gordon K. Chan, Ondrej Krejcar, and Debotosh Bhattacharjee, “2pClPr: A 2-phase Clump Profiler for Segmentation of Cancer Cells in Fluorescence Microscopic Images,” IEEE Transactions on Instrumentation and Measurement, vol. 72, Article ID 3277975, 2023. (IF: 5.332)
- Kaushiki Roy, Debapriya Banik, Debotosh Bhattacharjee, Ondrej Krejcar, and Christian Kollmann, “LwMLA-NET: A Lightweight Multi-Level Attention-Based Network for Segmentation of COVID-19 Lung Abnormalities from CT Images,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–13, 2022. (IF: 5.332)
- Kaushiki Roy, Cody W. Lewis, Gordon K. Chan, and Debotosh Bhattacharjee, “Automated Classification of Mitotic Catastrophe Using Centromere Fragmentation Morphology,” Biochemistry and Cell Biology, vol. 99, no. 2, pp. 261–271, 2021. (IF: 3.626)
- Kaushiki Roy, Debapriya Banik, Debotosh Bhattacharjee, and Mita Nasipuri, “Patch-Based System for Classification of Breast Histology Images Using Deep Learning,” Computerized Medical Imaging and Graphics, vol. 71, pp. 90–103, Elsevier, 2019. (IF: 7.422)
- Kaushiki Roy, Debapriya Banik, Gordon K. Chan, Ondrej Krejcar, and Debotosh Bhattacharjee, “Nuclei-Net: A Multi-Stage Fusion Model for Nuclei Segmentation in Microscopy Images,” Innovations in Systems and Software Engineering, Springer, 2023.
- Debapriya Banik, Kaushiki Roy, Debotosh Bhattacharjee, Mita Nasipuri, and Ondrej Krejcar, “Polyp-Net: A Multimodel Fusion Network for Polyp Segmentation,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1–12, 2020. (IF: 5.332)
- Debapriya Banik, Kaushiki Roy, Ondrej Krejcar, and Debotosh Bhattacharjee, “dHBLSN: A Diligent Hierarchical Broad Learning System Network for Cogent Polyp Segmentation,” Knowledge-Based Systems, vol. 300, Article ID 112228, 2024. (IF: 7.2)
- Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven A. Hicks, Nikhil Kumar Tomar, et al., “Validating Polyp and Instrument Segmentation Methods in Colonoscopy through Medico 2020 and MedAI 2021 Challenges,” Medical Image Analysis, vol. 99, Article ID 103307, 2025. (IF: 10.7)
- Kaushiki Roy, Debotosh Bhattacharjee, et al., “A Multi-Organ Nucleus Segmentation Challenge,” IEEE Transactions on Medical Imaging, vol. 39, no. 5, pp. 1380–1391, 2019. (IF: 11.037)