Dr Sukhpal Singh Gill

Sukhpal Singh Gill
BE, ME, PhD, SFHEA

Lecturer (Assistant Professor) in Cloud Computing
Director of Academic Integrity, Academic Misconduct Officer (AMO), Programme Director for MSc Advanced Computer Science, MSc Business Analytics, MSc Financial Computing , Deputy Chair (Main Misconduct), Lead - Networks & Systems Teaching Group (N&STG)

School of Electronic Engineering and Computer Science
Queen Mary University of London
www.qmul.ac.uk/eecs/people/profiles/gillsukhpalsingh.html
Centre for Networks, Communications and Systems
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Research

Cloud Computing, Energy Efficiency, Edge AI, Internet of Things, Resource Management, Edge Computing

Interests

Dr. Gill is an Assistant Professor with the School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London, UK. He was awarded the title of Senior Fellow of the Higher Education Academy (SFHEA) in 2025 for Leadership and Excellence within the area of Computer Science Education by AdvanceHE. He is serving as Director of Academic Integrity, Academic Misconduct Officer (AMO), Programme Director for MSc Advanced Computer Science, MSc Business Analytics, MSc Financial Computing , Deputy Chair (Main Misconduct), Lead - Networks & Systems Teaching Group (N&STG). He is leading the IGI Global International Journal of Applied Evolutionary Computation (IJAEC) as an Editor-in-Chief and serves as Executive Editor for Elsevier IoT, Area Editor for the Springer Cluster Computing Journal and Associate Editor for IEEE IoT, Nature Scientific Reports, Wiley SPE, Wiley ETT, Elsevier Telematics and Informatics Reports and IET Networks Journals. He has co-authored 200+ peer-reviewed papers (with Citations 16000+ and H-index 62 as per Google Scholar) and has published in prominent international journals and conferences such as IEEE TPDS, IEEE TFS, IEEE TGCN, IEEE TCC, IEEE TSC, IEEE TSUSC, IEEE COMST, IEEE TCE, ACM TOIT, ACM CSUR, ACM TAAS, IEEE TII, IEEE TNSM, IEEE IoT Journal, Elsevier JSS/FGCS, IEEE/ACM UCC and IEEE CCGRID. He was a recipient of several research awards, including the Outstanding Reviewer Award from IEEE IT Professional Magazine 2024, the Elsevier Internet of Things Editor’s Choice Award 2024, the Elsevier Best Paper Award 2023, the Distinguished Reviewer Award from Software: Practice and Experience Wiley, 2018, the Best Paper Award AusPDC at ACSW 2021, Queen Mary University Education Excellence Award 2023 and the EECS 2023 Award. His research has been featured in leading international magazines such as IEEE Spectrum, Ars Technica, Tech Monitor, Cutter Consortium, and ICT Academy. For further information, please visit www.ssgill.me. Dr. Gill is leading GillNet Research Lab; please visit for further information: iamssgill.wordpress.com/gillnetlab/.