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Durham University

Email and Telephone Directory

Staff Profile

Dr Gagangeet Singh Aujla, Ph.D, Senior Member, IEEE

Assistant Professor in the Department of Computer Science

(email at


I am an Assistant Professor of Computer Science at Durham University. Before this, I worked as a post-doctoral research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at University of Klagenfurt (Austria) and on various academic positions for more than a decade. I received my PhD degree from the Thapar University (India), my Master and Bachelor degrees from the Punjab Technical University (India). For my contributions to the area of scalable and sustainable computing, I was awarded the 2018 IEEE TCSC Outstanding PhD Dissertation Award. The main theme of my research is related to energy-efficiency, reconfiguration, resilience and intelligence in smart IoT applications (smart city, smart grid, Edge-Cloud systems, healthcare systems, transportation systems). To develop myself as a researcher, I worked on various research projects awarded by EPSRC, the Department of Science and Technology (India), and Austrian Federal Ministry of Education, Science and Research. This facilitated me to collaborate with international researchers from the UK, US, Canada, Australia, China, Austria, Brazil, and India. Together, we published several research papers in the fields of smart grid, electric vehicles, software-defined networking, cloud data centres, edge-cloud computing, and blockchain. I led my team organizing workshops (SecSDN and BlockSecSDN) in conjunction with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, and many more. Contributing to the research community, I and serving as an Area Editor for Ad hoc Networks (Elsevier) and a Topic Editor for Sensors, a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Network, and Neural Computing and Applications (Springer).

Working with Me

The main theme of my research revolves around energy-efficient, reconfigurable, resilient and intelligent IoT applications (smart city, smart grid, Edge-Cloud systems, healthcare systems, transportation systems). If you aspire to conduct high-quality research, do explore working with me on following research strands:

  • Intelligent and Resilient Network Control for SDN-IoT-Edge Systems.
  • Intelligent Fog and Edge Infrastructures for Future Wireless Systems.
  • Blockchain for Data Dissemination in Smart City Applications.
  • Privacy (or compliance)-aware Cloud Ecosystems or Trusted Cloud Systems.
  • Energy Trading involving Electric Vehicles and Smart Grids.
  • Carbon Intelligent Edge-Cloud Data Centres

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)

Teaching Areas

  • Programming for Data Science (Master of Data Science)

    (18 hours/year.)


Edited book

Journal Article

Conference Paper

Doctoral Thesis

Indicators of Esteem

Selected Grants

  • 2017: Department of Science and Technology (India), and Austrian Federal Ministry of Education, Science and Research (Ref: DST-BMWF Project INT/AUSTRIA/BMWF/P-03/2017), " QoS-aware Energy Management Scheme for Sustainable Data Centers using Renewable Energy Sources ", Co-Investigator