Personal profile

Area of academic expertise - outline

Professor Keshav Dahal a chair in Intelligent Systems and the Director 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, Amity University India, Kantipur Engineering College Nepal 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 26 EU/UK/Industry funded projects worth over £16 million (bringing £3.2m to his universities). He has successfully supervised the completions of 11 Post-Doctoral and 24 PhD studies. Prof. Dahal has published over 160 peer-reviewed journals/conferences papers and 4 edited books, and has sat on organising/programme committees of over 60 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
  • Blockchain technology

Current research activities

Professor Dahal’s current research activities lie in the areas of applications of computational intelligent/machine learning and blockchain technology for modelling, analyss and solving challenging real-world problems.  The application domains of his current work are in the Optimisation/Scheduling, Disaster Management, Remote Healthcare Systems, Communication Networks and Electrical Power Systems. Currently, he has 5 ongoing projects funded by EU and Innovate UK. He has coordinated a consortium of 20 partners for EU Erasmus Mundus Action 2 ‘SmartLink’ project (2014-2019) focusing on the applications of smart technologies to a wide range of application domains. He was the local coordinator of EU ‘gLINK’ project (2014-2019) focusing on the applications of smart technologies. He was 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 KTP associates 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

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production


Dive into the research topics where Keshav Dahal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or