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Personal profile

Area of academic expertise - outline

Professor Keshav Dahal a chair in Intelligent Systems and the Leader of Artificial Intelligence, Visual Communication and Networks (AVCN) research centre. He has also been appointed as a visiting professor at Nanjing University of Information Science and Technology China and Chiang Mai University Thailand. He has an extensive experience in terms of research supervision and management of funded projects. He has been principal/co-investigator of 15 EU/UK/Industry funded projects worth over £4 million in last ten years. He has successfully supervised the completions of 4 Post-Doctoral and 13 PhD studies. Prof. Dahal has published over 110 peer-reviewed journals/conferences papers and 4 edited books, and has sat on organising/programme committees of over 50 reputed international conferences; including as the General Chair and the Programme Chair. His research expertise includes:

  • Artificial Intelligence (AI) applied to Data Mining/Big Data, Scheduling and Logistics Problems
  • Smart Decision Support Techniques and Intelligent Systems
  • Trust/Security Modelling in Networks, Cloud and Distributed Systems
  • Data Security and Privacy

Current research activities

Professor Dahal’s current research activities lie in the areas of applications of computational intelligent/machine learning approaches for modelling, analysis and solving challenging real-world problems.  The application domains of his current work are in the Disaster Management, Remote Healthcare Systems, Communication Networks and Electrical Power Systems. Currently, he is coordinating a consortium of 20 partners for EU Erasmus Mundus Action 2 ‘SmartLink’ project (2014-2018), which focuses on the applications of smart technologies to a wide range of application domains. He is the local coordinator of EU ‘gLINK’ project (2014-2018) focusing on the applications of smart technologies. He is also a co-investigator of the EU H2020-ICT-2014-2 “SELFNET – Framework for Self-organized network management in virtualized and software defended networks” project (2015-2018). Currently, 6 PhDs and 2 Post-Doctoral fellows are working under his supervision. 

Desired research direction

Professor Dahal’s research direction is to develop hybrid frameworks to bring together inter-disciplinary Machine learning, Decision making and Data mining algorithms for solving complex problems in wider application domains. This includes Big Data Analytics for processing and learning from overwhelming amount of data generated by web, IoTs and sensors for useful information for problems, such as service delivery, cyber physical systems security, personalised health treatment, fraud detection, national intelligence etc.  

Target collaborative organisations

Professor Dahal enjoys working across disciplines and with industrial collaborators, to solve important real-world problems. He is open to collaboration with organisations that are interested in Logistics/scheduling/event management, Big data analytics, Decision support and Data modelling. They include:

  • Government and private sector companies
  • UK and International HE institutions/research centres
  • Consortium for research and innovation funding applications

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Research Output

A burst and congestion-aware routing metric for RPL protocol in IoT network

Altwassi, H. S., Pervez, Z. & Dahal, K., 6 Feb 2020, Proceedings of the 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). IEEE, (IEEE Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
  • 50 Downloads (Pure)
    Open Access
  • 159 Downloads (Pure)

    An efficient feature selection based Bayesian and rough set approach for intrusion detection

    Prasad, M., Tripathi, S. & Dahal, K., Feb 2020, In : Applied Soft Computing. 87, 14 p., 105980.

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)

    A partition-based partial personalized model for points of interest recommendations

    Naserian, E., Wang, X., Dahal, K., Alcaraz-Calero, J. M. & Gao, H., 19 Aug 2020, (Accepted/In press) In : IEEE Transactions on Computational Social Systems. p. 1-12 12 p.

    Research output: Contribution to journalArticle

    Open Access
  • 14 Downloads (Pure)

    A supply chain model with Blockchain-enabled reverse auction bidding process for transparency and efficiency

    Koirala, R. C., Dahal, K., Matalonga, S. & Rijal, R., 6 Feb 2020, 13th International Conference on Software, Knowledge, Information Management and Applications (with The International Workshop on Applied Artificial Intelligence - AI) 26-28 August 2019, Island of UKULHAS, Maldives. Piscataway, New Jersey: IEEE, 6 p. (SKIMA Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 83 Downloads (Pure)


    • 2 Editorial activity
    • 2 Invited talk
    • 1 Participation in conference

    General chair, 13th International Conference on Software, Knowledge, Information Management and Applications

    Keshav Dahal (Invited speaker)

    26 Aug 201928 Aug 2019

    Activity: Participating in or organising an eventParticipation in conference

    Cognitive Computation (Journal)

    Keshav Dahal (Peer reviewer)

    1 Jan 2017

    Activity: Publication peer-review and editorial workEditorial activity

    Applied Soft Computing (Journal)

    Keshav Dahal (Peer reviewer)

    2014 → …

    Activity: Publication peer-review and editorial workEditorial activity