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Associate Professor in the Department of Computer Science+44 (0) 191 33 44025


I am an Associate Professor of Computer Science at Durham University and a Fellow of Durham Energy Institute. Before this, I worked as a research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at the University of Klagenfurt (Austria) and in various academic positions for over a decade. I received my PhD from Thapar University (India) and my Master's and Bachelor's degrees from the Punjab Technical University (India).

I recieved the IEEE TCSC Award for Excellence in Scalable Computing (ECR) 2022 for contributions on research and development of sustainable edge-cloud continuum for resource-constrained smart environments. I also received "Early-Career Award 2022 (Runner-up)" from the IEEE TEMS TC on Blockchain and Distributed Ledger Technologies for contributions to the research and teaching in blockchain and distributed leder technologies. I received the 2018 IEEE TCSC Outstanding PhD Dissertation Award for contributions to designing and developing methods for self-sustainable cloud data centres. I also received 2021 IEEE Systems Journal Best Paper Award for my work 'An Adaptive Grid Frequency Support Mechanism for Energy Management in Cloud Data Centers' and TIET Best Paper Award for my work 'Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay'.

I worked on various funded research projects awarded by UKRIEPSRC, the Department of Science and Technology (India), and the Austrian Federal Ministry of Education, Science and Research. Some of my ongoing and completed research projects are listed below.

  • National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality (EP/Y028813/1) | Funder: EPSRC | £10,277,846 (£15m including in-kind Industry support) | 01 February 2024 to 31 January 2029
  • CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research - TMF uplift (EP/Y037421/1) | Funder: EPSRC | £8,558,479 | 01 December 2023 to 31 March 2025
  • CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research (EP/X040518/1) | Funder: EPSRC | £3,028,049 | 01 June 2023 to 31 May 2026
  • Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation (VPP-WARD) (EP/Y005376/1)  | Funder: UKRI | £1,845,327 | 01 May 2023 to 31 March 2025
  • Traffic management in smart cities using IoT for reducing carbon emissions  | Funder: Royal Society International Exchanges | £12,000 | 02 Nov 2022 - 10 Nov 2024
  • Carbon-Intelligent Computing for handling Uncertainties in Data Centres | Funder: Durham University SeedCorn Grant |  £11,554 | 01 Mar 2022 - 31 Jul 2023
  • QoS-aware Energy Management Scheme for Self-sustainable Data Centres using Renewable Energy Sources (INT/AUSTRIA/BMWF/P-03/2017 and IN/06/2017) | Funder: Department of Science and Technology (DST), India and Austrian Agency for International Cooperation in Education and Research (OeAD-GmbH), Austria | £25,000 | 01 June 2017 to 30 June 2019

I serve as Co-Sectratary, IEEE UK and Ireland Diversity, Equality and Inclusion Committee and Environment Champion (Durham Greenscpace). I led my team in organising workshops (BlockSecSDN, BlockCPS, SecSDN and EdgeAI) with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, ACM/IEEE UCC and many more. Contributing to the research community, I serve as an Area Editor for Ad hoc Networks (Elsevier), an Associate Editor for IET Smart Grid, and an Associate Editor for Concurrency and Computation: Practice and Experience (Wiley). I have also served as a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Wireless Communications and IEEE Network.

Working with Me

The central theme of my research revolves around data-driven applications (smart city, smart grid, Edge-Cloud systems, healthcare systems, transportation systems, drones) with key contributions around energy efficiency, resilience, security, privacy and intelligence. If you aspire to conduct high-quality research, do explore working with me on the following research strands:

  • Data-driven and data-intensive cyber-physical systems and digital twins
  • AI-based Network Control for SDN-IoT-Edge Systems.
  • Edge AI for Future Wireless Systems.
  • Blockchain and distributed ledger technologies for Multi-disciplinary applications.
  • Privacy (or compliance)-aware Ecosystems or Trusted Cloud Systems.
  • Sustainable and Carbon Intelligent Environments

Research interests

  • Sustainable Computing and Energy-efficiency
  • Edge-Cloud Computing
  • Blockchain and Distributed Ledger Tecnology
  • Smart Grid and Electric Vehicles
  • Software-defined Networking
  • Machine/Deep Learning
  • Internet of Things (Smart City, Healthcare Systems, Intelligent Transportation Systems)

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