If you made any changes in Pure these will be visible here soon.

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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 7 Similar Profiles
Scheduling Engineering & Materials Science
Mobile ad hoc networks Engineering & Materials Science
Websites Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Logistics Engineering & Materials Science
Antenna feeders Engineering & Materials Science
Data mining Engineering & Materials Science
Knowledge acquisition Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2008 2018

A CPW fed antenna with semicircular patch on triangle for wideband wireless applications

Chilukuri, S. & Dahal, K. 19 Feb 2018 6 p.

Research output: Contribution to conferencePaper

Antenna feeders
Wireless local area networks (WLAN)

A fuzzy-based throughput prediction for wireless communication systems

Olaleye, M., Dahal, K. & Pervez, Z. 20 Sep 2018 2018 Innovations in Intelligent Systems and Applications (INISTA). Yildirim, T., Manolopoulos, Y., Angelov, P. & Iliadis, L. (eds.). IEEE, 7 p. 08466273

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

Communication systems
Cognitive radio
Radio systems
Fuzzy logic

A multidimensional trust evaluation model for MANETs

Shabut, A. M., Kaiser, M. S., Dahal, K. & Chen, W. 20 Jul 2018 In : Journal of Network and Computer Applications.

Research output: Contribution to journalArticle

Mobile ad hoc networks
Time varying networks
Network architecture
Telecommunication links
Quality of service

Audio-cough event detection based on moment theory

Monge-Alvarez, J., Hoyos Barceló, C., Dahal, K. & Casaseca, J. P. 1 Jun 2018 In : Applied Acoustics . 135, p. 124-135

Research output: Contribution to journalArticle

Patient monitoring
Character recognition
Filter banks

Comparative study of different cost functions between neighbors for optimizing energy dissipation in WSN

Dutta, S., Obaidat, M. S., Dahal, K., Giri, D. & Neogy, S. 8 Mar 2018 In : IEEE Systems Journal. p. 1-12 12 p.

Research output: Contribution to journalArticle

Open Access
Cost functions
Wireless sensor networks
Energy dissipation
Data communication systems
Energy utilization

Activities 2014 2017

  • 2 Invited talk
  • 1 Editorial activity


Computational fluid dynamics