Dr Blesson Varghese

Reader

Phone: +44 (0)1334 46 3262
Email: blesson@st-andrews.ac.uk

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
Di Wu
Dhananjay Saikumar

Selected publications

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. 43-54
Research output: Contribution to journal › Article › peer-review
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
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. 164-179
Research output: Contribution to journal › Article › peer-review
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
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
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
Open access

Stochastic modeling for intelligent software defined vehicular networks: a survey
Ravi, B., Varghese, B., Murturi, I., Donta, P. K., Dustdar, S., Dehury, C. K. & Sriram, S. N., 12 Aug 2023, In: Computers. 12, 8, 34 p., 162.
Research output: Contribution to journal › Article › peer-review
Open access

CONTINUER: maintaining distributed DNN services during edge failures
Majeed, A. A., Kilpatrick, P., Spence, I. & Varghese, B., 24 Aug 2022, 2022 IEEE International conference on edge computing and communications (EDGE 2022). Ardagna, C. A., Bian, H., Chang, C. K., Chang, R. N., Damiani, E., Elia, G., He, Q., Puig, V., Ward, R., Xhafa, F. & Zhang, J. (eds.). Piscataway, NJ: IEEE Computer Society, p. 143-152 10 p. 9860277. (IEEE International conference on edge computing and communications).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access

Context-aware distribution of fog applications using deep reinforcement learning
Wang, N. & Varghese, B., Jul 2022, In: Journal of Network and Computer Applications. 203, 14 p., 103354.
Research output: Contribution to journal › Article › peer-review
Open access

FedAdapt: adaptive offloading for IoT devices in federated learning
Wu, D., Ullah, R., Harvey, P., Kilpatrick, P., Spence, I. & Varghese, B., 13 May 2022, (Accepted/In press) In: IEEE Internet of Things Journal. 13.
Research output: Contribution to journal › Article › peer-review

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