Ranjana Roy Chowdhury
PhD Scholar
Indian Institute of Technology Ropar

Greetings everyone,

I am Ranjana Roy Chowdhury, a current PhD candidate within 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

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
Ranjana Roy Chowdhury, Soumi Chattopadhyay, Chandranath Adak,"CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering", in IEEE Transactions on Services Computing (2020). 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.
Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula, “Prototypical Aggregate Network - Boosting Few-Shot Learning for Medical Image Classification” (Under Major Review in Multimedia Tools and Applications(2024))
Ranjana Roy Chowdhury, Deepti R. Bathula, “Selective Feature Representation in Prototypical Networks for Medical Image Classification” (Under Review in International Journal of Computer Applications(2025))

Conferences

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

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

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