Research output per year
Research output per year
Personal profile
Research Interests
Sensor and mobile networks, Algorithms, Computational geometry, Networks, Distributed Computing
Qualifications
| 2010 | PhD in Computer Science, Stony Brook University, USA |
| 2005 | M.Tech, IIT Bombay, India |
Biography
Rik Sarkar is a Lecturer and a Chancellor's Fellow in Informatics at The University of Edinburgh. His PhD was from Stony Brook University, USA, in 2010, and his M.Tech from IIT Bombay, India, in 2005. From 2010 to 2012, he was a researcher jointly at Technical, Freie and Humbolt Univeristies of Berlin, with the MDS Fellowship from the German Science Foundation.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Analyzing recursiveness in multimodal generative Artificial Intelligence: Stability or divergence?
Conde, J., Cheung, T., Martínez, G., Reviriego, P. & Sarkar, R., 9 Sept 2024, ArXiv.Research output: Working paper › Preprint
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Topological generalization bounds for discrete-time stochastic optimization algorithms
Andreeva, R., Dupuis, B., Sarkar, R., Birdal, T. & Şimşekli, U., 11 Jul 2024, ArXiv.Research output: Working paper › Preprint
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Machine learning and topological data analysis identify unique features of human papillae in 3D scans
Andreeva, R., Sarkar, A. & Sarkar, R., 14 Dec 2023, In: Scientific Reports. 13, 1, p. 1-14 14 p., 21529.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Metric space magnitude and generalisation in neural networks
Andreeva, R., Limbeck, K., Rieck, B. & Sarkar, R., 28 Jul 2023, Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML). TAG-ML, ICML ed. Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 221. p. 242-253 11 p. (Proceedings of Machine Learning Research; vol. 221).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Publishing Asynchronous Event Times with Pufferfish Privacy
Ding, J., Ghosh, A., Sarkar, R. & Gao, J., 12 Sept 2022, Proceedings of The 18th International Conference on Distributed Computing in Sensor Systems 2022. Institute of Electrical and Electronics Engineers, p. 53-60 8 p. (International Conference on Distributed Computing in Sensor Systems (DCOSS)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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AIVal: Valuation Protocols for Collaborative AI Marketplaces over Blockchains
Sarkar, R. (Principal Investigator)
1/09/23 → 28/02/27
Project: Research
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Locally ensured privacy in sensor data sharing through geometric perturbations
Sarkar, R. (Principal Investigator)
UK central government bodies/local authorities, health and hospital authorities
1/09/18 → 31/08/22
Project: Research
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Locally ensured privacy in sensor data sharing through geometric perturbations
Sarkar, R. (Principal Investigator)
Government Communications Headquarters
1/09/18 → 31/12/23
Project: Research
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GCHQ - RFA15088
Aspinall, D. (Principal Investigator), Cheney, J. (Co-investigator), Gascon Caro, A. (Co-investigator), Grot, B. (Co-investigator), Sarkar, R. (Co-investigator), Vaniea, K. (Co-investigator) & Wolters, M. (Co-investigator)
UK central government bodies/local authorities, health and hospital authorities
1/11/16 → 30/07/17
Project: Research
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GCHQ - RFA15088
Aspinall, D. (Principal Investigator), Cheney, J. (Co-investigator), Gascon Caro, A. (Co-investigator), Grot, B. (Co-investigator), Sarkar, R. (Co-investigator), Vaniea, K. (Co-investigator) & Wolters, M. (Co-investigator)
UK central government bodies/local authorities, health and hospital authorities
1/11/16 → 31/03/17
Project: Research