Keynote & Plenary Speakers

Keynote Speaker I

Prof. Sunil Vadera, University of Salford, UK

Sunil Vadera is a Professor of Computer Science and the Head of the School of Computing, Science and Engineering at the University of Salford. He is a Fellow of the British Computer Society, a Chartered Engineer (C.Eng) and Chartered IT Professional (CITP). 
He gained a first class BSc(Hons) in Computer Science and Mathematics from the University of Salford in 1982, receiving three best student prizes. Following graduation, he began his career as a Research Assistant and progressed to a Lectureship in Computer Science in 1984. He holds a PhD from the University of Manchester in the area of Formal Methods of Software Development which was awarded in 1992. He was promoted to a Senior Lecturer in 1997 and to a Chair in Computer Science in 2000. 
Sunil was chair of the British Computer Society Academic Accreditations Committee with responsibility for professional accreditation of all UK University programmes in Computer Science from January 2007 to December 2009. 

His research is driven by the desire to close the gap between theory and practice in Artificial Intelligence, with expertise in the areas of Bayesian networks, decision tree learning, credit assessment and planning. His research has included work on:
(a) Bayesian Networks on sensor validation with colleagues from the Mexican Instituto de Electricas
(b) Research on the development DUST-EXPERT a system that advises on the relief venting of explosions in chemical processes for the Health and Safety Executive in the UK.
(c) Use of cost-sensitive machine learning for credit rating of sub-prime loans, helping to improve financial inclusion, which was selected by ESRC as an example of the impact of research:  http://www.esrc.ac.uk/publications/videos/creating-impact.aspx
(d) a British Gas funded project applying data mining to SMART meter data with a view to understanding energy consumption behaviour
He is currently working on the FP7 SEEDS: Self learning Energy Efficient builDings and open Spaces project  with partners from Europe.  The project aims to apply machine learning methods with a view to reducing energy consumption in buildings.  Details of the project can be found at:  http://seeds-fp7.eu/partner_salford.php
Sunil was chair of the UK BCS Knowledge Discovery and Data Mining Symposium held in Salford in 2009,  General Chair of the IFIP conference on Intelligent Information Processing in 2010 and his research has been published in some of the leading outlets, including the Computer Journal, ACM Transactions on Knowledge Discovery from Data, ACM Computing Surveys, Expert Systems Journal, Foundations of Science, and IEEE Transactions of Power Systems.  A selection of the papers are available for downloading from
: http://usir.salford.ac.uk/view/authors/13105.default.html

Keynote Speaker II

Prof. Marat Akhmet, Middle East Technical University, Turkey

Marat Akhmet is a professor of mathematics at Middle East Technical University (Ankara, Turkey) known for his research on the chaos and bifurcation theory in differential equations and hybrid systems with applications in physics, neural networks, biology, medicine and economics . Born in Kazakhstan, he studied at Aktobe State University. He received his doctorate in 1984 at Kiev University . He has been awarded a Science Prize of TUBITAK (Turkey, 2015), for best achievments in scientific research. He is an author of four books: "Principles of Discontinuous Dinamical Systems", Springer, 2010, "Nonlinear Hybrid Continuous Discrete-Time Models", Atlantis Press (Springer), 2011, "Neural networks with Discontinuous Impact Activations," Springer, 2014, and "Replication of Chaos in Neural Networks, Economics and Physics", Springer&HEP, 2015. His has solved the Second Peskin conjecture for Integrate-and-fire biological oscillators, has introduced and developed theory of differential equations with piecewise constant argument of generalized type, many aspects of discontinous dynamical systems. The last decade his main subject of research is input-output analysis of chaos and irregular behavior of hybrid neural networks.

Plenary Speakers

Prof. Jin Wang, Liverpool John Moores University, UK

Dr Jin Wang is Professor of Marine Technology at Liverpool John Moores University, Director of the Liverpool Logistics, Offshore and Marine (LOOM) Research Institute, and Associate Dean (Scholarship, Research and Knowledge Transfer) at the Faculty of Engineering and Technology.

He has a PhD in Maritime Safety Engineering from Newcastle University and is a fellow of the Institute of Marine Engineering, Science and Technology (IMarEST), the UK Safety and Reliability Society and the Royal Institute of Naval Architects.

He has completed supervision of more than 50 PhD/postdoctoral researchers (25 as the first supervisor), published
two research monographs, ten book chapters and more than 120 SCI cited journal papers, and won several awards for his research work including two Denny Medals from IMarEST.

His research interests include the design and operation of maritime engineering systems such as ships, offshore installations and port terminals.

Prof. Andrea Deaconescu, Transilvania University of Brasov, Romania

Prof. Andrea Deaconescu is a full professor at Transilvania University of Brasov, Romania, Department of Industrial Engineering and Management. She obtained her PhD in Industrial Engineering at Transilvania University of Brasov, Romania in 2005 and an MA in Information Science at the University of Central England at Birmingham, UK. Her main fields of competence are Robust Design of Manufacturing Systems and Communication Management.She is the author of ten books and over 100 scientific papers.Prof. Andrea Deaconescu is a member of a series of professional and scientific associations and acted as visiting professor at Bremen University, Germany, ENSAM Cluny, France and the University of Southern Denmark, Odense.


 

 


 


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