RBCDSAI Post-Doctoral Fellow
Work on independent research problems in an interdisciplinary environment under exceptional guidance and with access to high-performance computing infrastructure
RBCDSAI Post Baccalaureate Fellow 2024
Gain hands-on experience, working on cutting edge discoveries, with some of the best minds in the country in Data Science and AI.
Robert Bosch Centre for Data Science and Artificial Intelligence
Inaugurated by Dr. Michael Bolle CTO and Member of the Board of Management, Robert Bosch GmbH In the presence of Prof. Bhaskar Ramamurthi Director, IIT Madras on 6th February 2019.
About us
The Robert Bosch Centre for Data Science and AI (RBCDSAI) aims to leverage data science to give insights to make actionable, reliable and impactful decisions for adoption in engineering, finance and healthcare domains. We are one of the pre-eminent interdisciplinary research centres for Data Science and AI in India with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups.
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Publications
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
https://doi.org/10.48550/arXiv.2306.14357
Dynamical systems approaches to solving time-varying convex optimization problem with inequality constraints
https://arxiv.org/pdf/2312.10203.pdf
Analysis of potential flow networks: Variations in transport time with discrete, continuous, and selfish operation
https://doi.org/10.1016/j.physa.2023.129303
Equitable supply in intermittently operated rural water networks in emerging economies
https://doi.org/10.2166/ws.2023.268
MKT1 alleles regulate stress responses through posttranscriptional modulation of Puf3 targets in budding yeast
https://doi.org/10.1002/yea.3908
A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer
https://doi.org/10.1016/j.ymben.2023.08.006
Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
https://doi.org/10.1038/s41598-023-46391-7
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
https://doi.org/10.48550/arXiv.2311.07002
