Professor Keshav Dahal joined the University of the West Scotland in 2013 as a research lead of the Artificial Intelligence, Visual Communication and Networks (AVCN) research centre. Prior to this he was with the University of Bradford (2002-2013) and the University of Strathclyde (1996-2002). His research interests lie in the areas of Computational intelligence, Machine learning, Big data mining, Scheduling/Optimisation, Trust/security modelling in cloud and distributed systems, and diagnosis/remote healthcare systems. His research paper on ‘reputation/trust modelling’ won the Best Paper award at an IEEE Conference; other two papers on “multiobjective and hybrid evolutionary/OR techniques for industrial optimisation and scheduling problems” were nominated for the best paper awards in two EvoCOP conferences. Prof. Dahal 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. 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 based on AI and decision support techniques to a wide range of application domains. He is also a co-investigator of the recently awarded EU H2020-ICT-2014-2 “SELFNET – Framework for Self-organized network management in virtualized and software defended networks” project (2015-2018). He has successfully supervised the completions of 4 Post-Doctoral and 13 PhD studies. Prof. Dahal has published over 100 peer-reviewed journals/conferences papers and 3 edited books, and has sat on organising/programme committees of over 50 reputed international conferences; including the general chair of the IEEE SKIMA 2015. He is a senior member of the IEEE and fellow of the Higher Education Academy (HEA).
Professor Hongnian Yu has held academic positions at the Universities of Sussex, Liverpool John Moor, Exeter, Bradford, Staffordshire and Bournemouth in the UK. He is currently Professor in Computing at Bournemouth University. He has extensive research experience in mobile computing, modelling, scheduling, planning, and simulations of large discrete event dynamic systems with applications to manufacturing systems, supply chains, transportation networks, computer networks and RFID applications, modelling and control of robots and mechatronics, and neural networks. He has graduated over 20 PhD/MPhil and MRes research students, is supervising 8 PhD students, and has examined over 20 PhD/MPhil students’ theses as both internal and external examiner. He has published over 200 journal and conference research papers. He has held several research grants from the UK EPSRC, the Royal Society, and the EU, AWM, as well as from industry. Prof Yu was awarded the F.C. William Premium for his paper on adaptive and robust control of robot manipulators by the IEE Council.He is a member of the EPSRC Peer Review College. Prof Yu has strong research collaboration with partners from China, France, Germany, Hungary, Italy, Japan and Thailand.
Akbar, M.S., Yu, H. and Cang, S., 2016. A holistic simulation model for remote patient monitoring systems using Wireless Body Area Sensor Networks (WBASNs).
Asghar, I., Cang, S. and Yu, H., 2016. A systematic mapping study on assitive technologies for people with dementia.
Cheng, L., Cheng, M., Yu, H., Deng, L. and Hou, Z.G., 2016. Distributed tracking control of uncertain multiple manipulators under switching topologies using neural networks. 233-241.
Liu, P., Yu, H. and Cang, S., 2015. On periodically pendulum-diven systems for underactuated locomotion: A viscoelastic jointed model.
Thiengburanathum, P., Cang, S. and Yu, H., 2015. A decision tree based recommendation system for tourists.
Eze, E.C., Yang, T.C., Chatwin, C.R., Yue, D. and Yu, H.N., 2015. Research into Big data for smart grids.
Hasan, M.S. and Yu, H., 2015. Innovative developments in HCI and future trends.
Gal, I.A., Vladareanu, L., Yu, H., Wang, H. and Deng, M., 2015. Advanced intelligent walking robot control through sliding motion control and bond graphs methods. 36-41.
Wang, A., Yu, H., Wang, D. and Deng, M., 2015. Robot arm with micro-hand robust control design using operator-based robust right coprirne factorization approach. 577-582.
Hasan, M.S. and Yu, H., 2015. Implementation of remotely controllable mobile robot system over mobile ad-hoc network. 131-136.