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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

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.

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Research Output 2008 2019

Lifetime and buffer-size optimization for RF powered wireless sensor networks

Koirala, B. & Dahal, K. 26 Feb 2019 Proceedings of the 8th International Conference on Sensor Networks. Benavente-Peces, C., Ahrens, A. & Camp, O. (eds.). Vol. 1, p. 102-107 6 p.

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

Wireless sensor networks
Sensor nodes
Electron energy levels
Energy harvesting
Network performance

Multi-dimensional e-commerce trust evaluation method

Alsharif, N., Dahal, K., Pervez, Z. & Sureephong, P. 4 Feb 2019 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA). IEEE, 7 p. (IEEE Conference Proceedings)

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

Open Access
File
Sales
Websites

The RPL load balancing in IoT network with burst traffic scenarios

Altwassi, H. S., Pervez, Z., Dahal, K. & Ghaleb, B. 4 Feb 2019 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA). IEEE, 7 p. (IEEE Conference Proceedings)

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

Open Access
File
Resource allocation
Electric power utilization
Routing protocols
Traffic congestion
Communication

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
Antennas
Bandwidth
Wireless local area networks (WLAN)
Permittivity

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
Throughput
Cognitive radio
Radio systems
Fuzzy logic

Activities 2014 2017

  • 2 Invited talk
  • 1 Editorial activity

Profiles

Resource allocation
Electric power utilization
Routing protocols
Traffic congestion
Communication
Radiators
Triangulation
Computational fluid dynamics
Turbines
Visualization
Wireless sensor networks
Sensor nodes
Electron energy levels
Energy harvesting
Network performance