The University of Southampton
Telephone:
+442380592774
Email:
c.leech@soton.ac.uk

Charles Leech

Research Staff

Github

Charles Leech is a Senior Research Assistant on the EPSRC-funded PRiME Programme Grant in the Cyber Physical Systems Research Group based in the School of Electronics and Computer Science. He was awarded his first class honours degree in Electronic Engineering from the University of Southampton in 2013 where he is currently completing a PhD entitled "Runtime Energy Management of Multi-core Systems".

His work focuses on power and performance optimisation of computer vision applications on heterogeneous embedded systems. Additionally, he is involved in the development of software frameworks for runtime management of many-core systems. He has interests in approximate computing, stereo vision, and machine learning for embedded devices.

Professional

Qualifications

BEng Electronic Engineering (Southampton, 2013) - 1st Class (Hons)

Publications

Vala, Charan Kumar, Immadisetty, Koushik, Acharyya, Amit, Leech, Charles, Balagopal, Vibishna, Merrett, Geoffrey and Al-Hashimi, Bashir (2017) High Speed Low Complexity Guided Image Filtering Based Disparity Estimation University of Southampton doi:10.5258/SOTON/D0170 [Dataset]

Singh, Amit, Leech, Charles, Basireddy, Karunakar Reddy, Al-Hashimi, Bashir and Merrett, Geoffrey (2017) Learning-based run-time power and energy management of multi/many-core systems: current and future trends Journal of Low Power Electronics

Tenentes, Vasileios, Leech, Charles, Bragg, Graeme, Merrett, Geoffrey, Al-Hashimi, Bashir, Amrouch, Hussam, Henkel, Jörg and Das, Shidhartha (2017) Hardware and software innovations in energy-efficient system-reliability monitoring In IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems. IEEE. 5 pp.

Vala, Charan Kumar, Immadisetty, Koushik, Acharyya, Amit, Leech, Charles, Balagopal, Vibishna, Merrett, Geoff V. and Al-Hashimi, Bashir (2017) High-speed low-complexity guided image filtering-based disparity estimation IEEE Transactions on Circuits and Systems - I (doi:10.1109/TCSI.2017.2729084).

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