Γειά σου!
I am a post-doctoral fellow at The Cyprus Institute, hosted by Prof. Constantine Dovrolis. I graduated with a Ph.D. in Computer Science from National Institute of Science Education and Research, Bhubaneswar, India, and was advised by Dr. Subhankar Mishra.
Prior to this, I graduated from Goa College of Engineering with a B.E. in Computer Engineering and Goa University with a M.Tech in Computer Science.
Currently, I am working on ML applications in medical imaging as part of the PROTECT project funded by the European Union Recovery and Resilience Facility of the NextGenerationEU instrument, through the Research and Innovation Foundation, Cyprus.
Recently, I am actively exploring the area of alignment of AI.
Latest News
2025, February: Our paper 'Graph Neural Networks at a Fraction' accepted at PAKDD 2025
2024, November: Our recent publication GraphPrivatizer accepted at LoG Conference for poster presentation
2024, November: Our paper 'Transformers at a fraction' accepted in NLDL 2025
2024, August:Our paper titled 'GraphPrivatizer: Improved Structural Differential Privacy for Graph Neural Networks' accepted in TMLR
2024, August: Joined The Cyprus Institute as a post-doctoral fellow
2024, June: Defended my Ph.D. thesis successfully!
2024, February: Attended the first edition of Pingala Interactions in Computing
2023, November: Got selected to attend ACM India school on Algorithmic Foundations of Data Science at NISER in Dec 2023
Publications
- Graph Neural Networks at a Fraction - Rucha Bhalchandra Joshi, Sagar Prakash Barad, Nidhi Tiwari, and Subhankar Mishra, in PAKDD 2025
- Transformers at a Fraction - Aritra Mukhopadhyay, Rucha Bhalchandra Joshi, Nidhi Tiwari, and Subhankar Mishra, in NLDL 2025
- GraphPrivatizer: Improved Structural Differential Privacy for Graph Neural Networks - Rucha Bhalchandra Joshi*, Patrick Indri*, and Subhankar Mishra, in TMLR 2024
- IndoorGNN: A Graph Neural Network Based Approach for Indoor Localization Using WiFi RSSI - Rahul Vishwakarma, Rucha Bhalchandra Joshi, and Subhankar Mishra, in the Eleventh International Conference on Big Data and Artificial Intelligence 2023
- Locally and Structurally Private Graph Neural Networks - Rucha Bhalchandra Joshi, and Subhankar Mishra, in the Digital Threats, September 2023
- Graphs: Privacy and Generation through ML - Rucha Bhalchandra Joshi, in WSDM 2023 Doctoral Consortium
- Edge-level privacy in Graph Neural Networks - Rucha Bhalchandra Joshi and Subhankar Mishra, in MLG Workshop at ECMLPKDD, 2022
- eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph Neural Networks - Rucha Bhalchandra Joshi, Annada Prasad Behera, and Subhankar Mishra, in ENERGYCON, 2022
- GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation - Edward Elson Kosasih, Rucha Bhalchandra Joshi, Janamejaya Channegowda in CoSubmitting Summer (CSS) Workshop at ICLR 2022
- Learning Graph Representations - Rucha Bhalchandra Joshi and Subhankar Mishra, in Principles of Social Networking, 2021
- Temporal Motifs in Smart Grid- Rucha Bhalchandra Joshi, Annada Prasad Behera, and Subhankar Mishra, in SMARTGREENS 2020
Teaching
- 2024 Lead TA - CS460/660 : Machine Learning 2024
- 2022 TA - CS 142 : Programming and Data Structures Lab - II
- 2021 TA - CS 141 : Computational Laboratory - I
Miscellaneous
- Talk series: CS Katha Barta (Feel free to email me if you would like to give a talk!)