Ranjana Roy Chowdhury
PostDoc Fellow@IISc Bangalore || PhD Scholar@IIT Ropar

Greetings everyone,

I am Ranjana Roy Chowdhury, currently serving as a Postdoctoral Fellow in the Department of Computational and Data Sciences at the Indian Institute of Science (IISc), Bangalore, and my Ph.D. is from the Department of Computer Science and Engineering at IIT Ropar. My academic journey includes completing my M.Tech at IIIT Guwahati and my B.Tech at Assam University, Silchar. With a foundation in computer science, I maintain a proactive stance towards emerging research avenues within the AI domain, recognizing their potential applications across various fields.Presently, my research focuses on Medical Image Analysis, where I am exploring machine learning techniques to enhance performance in the face of limited data availability, a prevalent challenge in the medical imaging domain. Beyond academia, I am an outgoing individual with a zest for life, always eager to embrace new experiences and engage with diverse communities.

I am keen on networking and collaborating with fellow professionals to foster innovative outcomes. I look forward to the opportunity to connect and collaborate with like-minded individuals.

Google Scholar

News Updates

Received "Best Paper Award" for presenting paper titled "Dual-Level Adaptive Sampling for Enhanced Few-Shot Medical Image Classification" in IEEE ISCI 2025 held in Malaysia.
Selected to attend ACM-W Grad Cohort at IIT Kanpur under ACM-W with a full travel grant support.
Received the SWE (Society of Women Engineers) Indian Scholarship for the year 2024-25

Publication Highlights

Journals

Ranjana Roy Chowdhury, Deepti R. Bathula, “Affinity Matrix Sampling for Enhanced Few-Shot Medical Image Classification” (submitted to Machine Vision and Applications 2026)
Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula, “Prototypical Aggregate Network - Boosting Few-Shot Learning for Medical Image Classification” in Multimedia Tools and Applications 2026. Link: https://link.springer.com/article/10.1007/s11042-026-21358-8
Ranjana Roy Chowdhury, Deepti R. Bathula, “Refining Prototypes with Selective Feature Maps: A Lightweight Approach to Few-Shot Medical Image Classification” in International Journal of Computer Applications 2025. Link:https://www.ijcaonline.org/archives/volume187/number36/chowdhury-2025-ijca-925622.pdf
Ranjana Roy Chowdhury, Soumi Chattopadhyay, Chandranath Adak,"CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering", in IEEE Transactions on Services Computing 2022. Link: https://ieeexplore.ieee.org/document/9275357
Soumi Chattopadhyay, Chandranath Adak, Ranjana Roy Chowdhury,” FES: A Fast Efficient Scalable QoS Prediction Framework”, (Submitted to IEEE Transactions on Services Computing 2021). Link: https://arxiv.org/abs/2103.07494
Ranjana Roy, Shivam Gupta, Sravanthi Chede,” World War III Analysis using Signed Social Networks”, in Social Network Analysis and Mining 2021. Link: https://link.springer.com/article/10.1007/s13278-021-00822- 3#:~:text=These%20weights%20measure%20the%20strength,less%20inter%2Dgroup%20harmonious%2 0ties.
Ilyas Abbasi, Ranjana Roy Chowdhury, H. Leishang Chanu, Sujit Rabha, Dr. Tapadhir Acharjee, "A Hybrid Image Steganography Method", in International Journal of Research Technology and Engineering (IJRTE) 2019, ISSN:2277- 3878, Volume-8 Issue-3, September 2019.Link:chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.ijrte.org/wp- content/uploads/papers/v8i3/C6436098319.pdf

Conferences

Ranjana Roy Chowdhury, Deepti R. Bathula,” Meta-Guided Sampling for Improved Few-Shot Skin Cancer Classification” in IEEE ISBI 2026
Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula,” Dual-Level Adaptive Sampling for Enhanced Few-Shot Medical Image Classification” in IEEE ISCI 2025 (Best paper Award). Link: https://ieeexplore.ieee.org/abstract/document/11167098/
Ranjana Roy Chowdhury, Deepti R. Bathula,”Class-Wise Feature Map Selection Based Prototypical Networks” in IEEE ISBI 2024 (Abstract Paper)
Ranjana Roy Chowdhury, Deepti R. Bathula,”Influencial Prototypical Networks for Few Shot Learning: A Dermatological Case Study” in IEEE ISBI 2022. Link: https://ieeexplore.ieee.org/document/9761403

Book Chapters

C. Adak, D. Ghosh, R. R. Chowdhury, S. Chattopadhyay, “COVID-19-affected Medical Image Analysis using Denser Net”, in Book Chapter of Data Science for COVID-19, Eds. U. Kose, D. Gupta, V.H.C. de Albuquerque, A. Khanna, Elsevier, 2020. Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137508/

Please contact me in the following :

Office: Lab 210, CSE, IIT Ropar

Mail Id1: ranjana.20csz0002@iitrpr.ac.in

Mail Id2: ranjanashontu@gmail.com

Page updated