The University of Southampton

Dr Amit Kumar Singh

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Amit Kumar Singh received the B.Tech. degree in Electronics Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in 2006. Thereafter, he worked with HCL Technologies, India for year and half before starting his PhD at School of Computer Engineering, Nanyang Technological University (NTU), Singapore, in 2008. He completed his PhD in 2012. He worked as a post-doctoral researcher at National University of Singapore (NUS) from 2012 to 2014 and at University of York, UK from 2014 to 2016. Currently, he is working as senior research fellow at University of Southampton, UK. His research interests include system level design-time and run-time optimizations of 2D and 3D multi-core systems with focus on performance, energy, temperature, and reliability. He has published over 45 papers in these areas in leading international journals/conferences. He was the receipt of ISORC 2016 Best Paper Award, PDP 2015 Best Paper Award, HiPEAC Paper Award, and GLSVLSI 2014 Best Paper Candidate. He has served on the TPC of IEEE/ACM conferences like ISED, MES, NoCArc and ESTIMedia.


Research interests

- Low Power and High Performance Embedded Systems

- NoC based Multi-cores

- Large Scale and 3D Multi-cores

- Design Space Exploration Techniques

- Run-time Mapping Algorithms

- HPC Data Centers and Cloud Computing.



Jan 2008 – Feb 2012: PhD, Computer Engineering, Nanyang Technological University (NTU), Singapore.

Jul 2002 - May 2006: B Tech, Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India.


Basireddy, Karunakar Reddy, Singh, Amit, Merrett, Geoff V. and Al-Hashimi, Bashir M. (2017) ITMD: run-time management of concurrent multi-threaded applications on heterogeneous multi-cores At Conference on Design, Automation and Test in Europe 2017 (DATE'17), Lausanne, Switzerland. 27 - 31 Mar 2017. 1 pp.

Leech, Charles, Basireddy, Karunakar Reddy, Singh, Amit, Merrett, Geoffrey and Al-Hashimi, Bashir (2017) Dataset for Learning-based Run-time Power and Energy Management of Multi/Many-core Systems: Current and Future Trends University of Southampton doi:10.5258/SOTON/D0109 [Dataset]

Singh, Amit, Dziurzanski, Piotr, Mendis, Hashan Roshantha and Soares Indrusiak, Leandro (2017) A Survey and comparative study of hard and so real-time dynamic resource allocation strategies for multi/many-core systems ACM Computing Surveys, 50, (2) (doi:10.1145/3057267).

Singh, Amit, Prakash, Alok, Basireddy, Karunakar Reddy, Merrett, Geoffrey and Al-Hashimi, Bashir (2017) Dataset supporting the article entitled "Energy-Efficient Run-time Mapping and Thread Partitioning of Concurrent OpenCL Applications on CPU-GPU MPSoCs" University of Southampton doi:10.5258/SOTON/D0164 [Dataset]

Dziurzanski, Piotr, Singh, Amit and Soares Indrusiak, Leandro (2017) Multi-criteria resource allocation in modal hard real-time systems EURASIP Journal on Embedded Systems

Singh, Amit, Prakash, Alok, Basireddy, Karunakar Reddy, Merrett, Geoffrey and Al-Hashimi, Bashir (2017) Energy efficient run-time mapping and thread partitioning of concurrent OpenCL applications on CPU-GPU MPSoCs ACM Transactions on Embedded Computing Systems

Wang, Xiaohang, Singh, Amit, Li, Bing, Yang, Yang, Li, Hong and Mak, Terrence (2017) Bubble budgeting: throughput optimization for dynamic workloads by exploiting dark cores in many core systems IEEE Transactions on Computers

Singh, Amit, Leech, charlie, 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


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