Dr Blesson Varghese
Reader
Biography
Blesson Varghese is Reader in the School of Computer Science at the University of St Andrews. He directs the Edge Computing Hub funded by Rakuten, Japan.
He was the recipient of the 2021 IEEE Rising Star Award and a Royal Society industry fellowship to British Telecoms plc, UK. His research interests are in developing large-scale distributed systems spanning the cloud and the edge of the network and has academic, industry and consulting experience in multiple continents.
He has featured in 'Clouded', a documentary on the cloud produced by Hewlett Packard and VMWare, and has interviewed on broadcast media.
Find more information on his personal homepage or Google Scholar profile.
Teaching
I teach CS5052: Data-Intensive Systems that focuses on the design of large-scale distributed systems encompassing the cloud and the edge.
I also supervise undergraduate and postgraduate projects.
Research areas
My research focuses on addressing systems-related challenges for developing large-scale distributed systems, specifically those encompassing the cloud and the edge of the network. My current interests are in unlocking the scientific and societal potential in 'Edge computing', referred to as the next Internet frontier.
PhD supervision
- Bailey Eccles
- Zihan Zhang
- Dhananjay Saikumar
Selected publications
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Open access
DNNShifter: an efficient DNN pruning system for edge computing
Eccles, B. J., Rodgers, P., Kilpatrick, P., Spence, I. & Varghese, B., Mar 2024, In: Future Generation Computer Systems. 152, p. 43-54Research output: Contribution to journal › Article › peer-review
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Open access
EcoFed: efficient communication for DNN partitioning-based federated learning
Wu, D., Ullah, R., Rodgers, P., Kilpatrick, P., Spence, I. & Varghese, B., 4 Jan 2024, In: IEEE Transactions on Parallel and Distributed Systems. Early Access, 13 p., 10380682.Research output: Contribution to journal › Article › peer-review
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Open access
Enabling privacy-aware interoperable and quality IoT data sharing with context
Chhetri, T. R., Dehury, C. K., Varghese, B., Fensel, A., Srirama, S. N. & DeLong, R. J., Aug 2024, In: Future Generation Computer Systems. 157, p. 164-179Research output: Contribution to journal › Article › peer-review
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Open access
NeuroFlux: memory-efficient CNN training using adaptive local learning
Saikumar, D. & Varghese, B., Apr 2024, EuroSys '24: Proceedings of the Nineteenth European Conference on Computer Systems. ACM, p. 999-1015 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Open access
PiPar: Pipeline parallelism for collaborative machine Learning
Zhang, Z., Rodgers, P., Kilpatrick, P., Spence, I. & Varghese, B., Nov 2024, In: Journal of Parallel and Distributed Computing. 193, 17 p., 104947.Research output: Contribution to journal › Article › peer-review
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Open access
Rapid deployment of DNNs for edge computing via structured pruning at initialization
Eccles, B. J., Wong, L. & Varghese, B., 8 Oct 2024, 2024 IEEE/ACM 24th International symposium on cluster, cloud and internet computing (CCGrid). Los Alamitos: IEEE, p. 317 - 326 10 p. 10701394. (IEEE International symposium on cluster, cloud and internet computing (CCGrid)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Open access
ScissionLite: accelerating distributed deep learning with lightweight data compression for IIoT
Ahn, H., Lee, M., Seong, S., Na, G.-J., Chun, I.-G., Varghese, B. & Hong, C.-H., 24 Jun 2024, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. Early Access, 11 p.Research output: Contribution to journal › Article › peer-review
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Open access
AI-based fog and edge computing: a systematic review, taxonomy and future directions
Iftikhar, S., Gill, S. S., Song, C., Xu, M., Aslanpour, M. S., Toosi, A. N., Du, J., Wu, H., Ghosh, S., Chowdhury, D., Golec, M., Kumar, M., Abdelmoniem, A. M., Cuadrado, F., Varghese, B., Rana, O., Dustdar, S. & Uhlig, S., 1 Apr 2023, In: Internet of Things. 21, 41 p., 100674.Research output: Contribution to journal › Review article › peer-review
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Open access
Multi-tier GPU virtualization for deep learning in cloud-edge systems
Kennedy, J., Sharma, V., Varghese, B. & Reaño, C., Jul 2023, In: IEEE Transactions on Parallel and Distributed Systems. 34, 7, p. 2107-2123 17 p.Research output: Contribution to journal › Article › peer-review
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Open access
ROMA: run-time object detection to maximize real-time accuracy
Lee, J., Varghese, B. & Vandierendonck, H., 6 Feb 2023, Proceedings 2023 IEEE/CVF winter conference on applications of computer vision (WACV): 3-7 January 2023, Waikoloa, Hawaii. Berg, T. & Farrell, R. (eds.). Piscataway, NJ: IEEE, p. 6394-6403 10 p. 10030225. (2023 IEEE/CVF winter conference on applications of computer vision (WACV)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution