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Keynote Speakers

The following leading international experts will be the conference keynote speakers

Dr. András Gábor

Andras Dr. András GÁBOR, professor of Department of Information Systems at the Corvinus University of Budapest. He earned a diploma (MSc) in Business and Economics (1974) and in Computer Science (1979) , dr. univ. oec. (1976), C.Sc (Ph.D) (1983), CISA (1999), Habil.dr (2002). His expertise: systems analysis, information management, intelligent systems. He is participating in several national and international research project and author of several Hungarian and international publication. He is the co-founder of Corvinno Technology Transfer Center, an R&D company. He was visiting scholar at DePaul University, Chicago, Imperial College, London, University of Amsterdam. Beside of the academic activities, he was a consultant for the Interministerial Committee for IT and the Modernisation and Integration Project Office, 1990-98. Between 2003-2006 worked as a consultant on behalf of the Ministry of Education concerning MIS development in Higher Education.


Abstract: The term ‘knowledge economy’ is widely used to describe today’s rapidly changing competitive environment. Both the organizations’ and their employees’ interest to keep the knowledge they possess up-to-date. From organizational point of view the information overload means that the employees often lack that job role specific knowledge they should be familiar with.

Business processes are defined as sequence of activities, and usually the whole operation of the enterprise is modeled into them. Connected to the activities Business Process Models consist of other organizational objects, such as resources like human resource, knowledge or IT infrastructure. In the models it is defined unambiguously, who, where, when, with what competencies, and why is responsible for the execution of each activity. The RACI matrix bridges the organizational model and the process model. Business Process Models also contains the task specific knowledge needed by the employees to perform a specific activity. Hence the relevant knowledge is embedded in the process. In dynamic environment not just the required competencies but roles are changing, therefore a regularly updated business process model can be the basis to support the corporate knowledge transfer.

The purpose of the solution presented here is to facilitate the knowledge transfer by providing a framework with what the user will be able to extract the embedded knowledge from the information stored in the business process models in a re-usable form. Hence the usage of the proposed system can bring the organizations benefits like better ROI in human capital and knowledge. In a knowledge based economy it can lead to significantly higher revenues through more efficient processes and better compliance.

The realization of the concept is a BPMLC suite, the goal of which is to develop a framework which helps to manage the life cycle (formalization, elicitation, enhancement, re-use) of the knowledge embedded in organizational processes in order to (1) enrich organizational knowledge base in a systematic and controlled way (2) support employees to easily acquire their job role specific knowledge, (3) help to govern and plan the human capital investment. In order to achieve this goal a complex framework is developed which consists of several semi- and fully automatic modules. To facilitate the usage of the suite a methodology is also developed such as the interfaces to connect the modules. The introduced suite connects the business process models and the corporate knowledge base, where the process structure is mapped to the knowledge structure (domain ontology). The focus is put to the on-the job training, since it increases productivity at firm level and it is also source of innovation and long-term competitiveness of firms, as well.

Prof. Hongnian Yu

HongnianYuProfessor 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 worth about five million pounds from the UK EPSRC, the Royal Society, and the European, AWM, as well as from industry. He has managed several international large consortiums as a coordinator. Examples are 1) coordinator (PI) of an EPSRC funded £158K international network project on Human Adaptive Mechatronics which includes 7 Japanese partners and 7 UK partners;  2) coordinator of the EU funded 3.05 million Euro Erasmus Mundus FUSION project; 3) coordinator of the EU funded 310.8 K Euro Marie Curie project, etc. Prof Yu was awarded the F.C. William Premium for his paper on adaptive and robust control of robot manipulators by the IEE Council, and has received five best (student) conference paper awards with his research students. He is a member of the EPSRC Peer Review College. Prof Yu has strong research collaboration with partners from many countries, such as China, France, Germany, Hungary, India, Italy, Japan, Romania, Thailand and USA. He is serving on 3 editorial boards: International Journal of Computing and Automation, International Journal of Advanced Mechatronics and International Journal of Agile Systems and Management, and has served on numerous international conference organization committees, e.g. IPC co-chair of the UKACC, Cardiff, 3-5/09/2012; General Chair of the International Conference on SKIMA, China, 9-11/09/2012; General co-chair of the International Conference on Advanced Mechatronic Systems, China, 25-27/09/2013, 10-12/08/2014, etc.

Title: Activity recognition of elderly people

Abstract: Increasing ageing population brings major issues to health care including a rise in care cost, high demand in long-term care, burden to caregivers, and insufficient and ineffective care. Activity recognition, which can provide information on a user’s behaviour, can be used as the key part of the intelligent systems to allow elderly people to live independently at homes, reduce care cost and burden to the caregivers, provide ensuring for the families, and promote better care. 

This talk covers the challenges faced in the activity recognition system and considers both practical and technical aspects using multiple wrist-worn sensors. The talk also reveals the core data mining techniques behind the main stream activity recognition approaches. The several recent methods developed by Prof Yu’s team are presented to inspire the further researches and discussions. 

Dr.-Ing. Ingrid Rügge

IngridDr. Rügge studied computer sciences and received her Ph.D. in 2006 from the Faculty of Mathematics and Computer Sciences, University of Bremen, Germany. 2003-2007 she was managing director of "Mobile & Wearable System Solutions" of the Center for Computing Technologies (TZI). She organized workshops/ congresses e.g. on "Mobile Solutions for Health Care" and “Dynamics in Logistics”. She co-initiated the EU-IP "wearIT@work – Empowering the mobile worker by wearable computing". Her research focused on HCI and usability of Wearable Computing. She was Managing Director and Sales Manager of the DemoCenter of the ppp "Mobile Solution Center Bremen" (2004-2007). Since 2007 she has been managing director of the doctoral training programme IGS of the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), University of Bremen. She developed, implemented, and evaluated innovative concepts for supervising international doctoral candidates within a multidisciplinary environment. Under her guidance the IGS has been awarded as best practice in internationalising the doctorate training in engineering sciences by the German National Academy of Science and Engineering (acatech) in 2011. Since 2012 she extended the proven concept to students and researchers on all levels of education within
the ERASMUS MUNDUS programmes cLINK. FUSION and will do in gLINK as well.
See the homepage of Dr. Rügge at

Title: Disciplinary Aspects of Dynamics in Logistics

Abstract: In her talk (suitable for wider audiences), Dr. Rügge will give an overview over the different research topics and cross-disciplinary aspects to be considered while focussing on dynamics in logistics. The complexity of logistic networks and systems is growing in today’s globalised world. Individual customers’ requirements cause a significant number of product variants and services as well as shorter product life cycles. Sustainability generates the need of changing perspectives. This implies new technical and economic challenges for logistic systems and processes as well as for researchers. Combining results of the following research fields will help generation new approaches: Modelling methods i.e. graph transformation, agent technology, AI methods; Wearable Computing;
Cyber-physical Systems and Smart Products; Computational Logistics; Factories of the Future; Sensors and Mobile Communication; Robotics; Intelligent container; Maritime Logistics; Cooperation and collaboration in logistics and production networks; Management methods and their application; Serious Gaming and new methods for coping with multi-dimensional diversity in i.e. logistics education. In the end Dr. Rügge will highlight possible cooperations with the different working groups of the research cluster LogDynamics. See further details at

Prof. Keshav Dahal

KeshavProf. Dahal is a Professor in Intelligent Systems in the School of Engineering and Computing at the University of the West of Scotland (UWS) UK, where he is leading the Artificial intelligence, Visual Communications & Networks (AVCN) Research Centre. Prior to this he was with Bradford University and Strathclyde University, where he also obtained his PhD and MSc degrees. Prof. Dahal's research interests lie in the areas of applied AI to intelligent systems, trust and security modelling in distributed systems, and scheduling/optimization problems. He has been principal/co-investigator of 13 EU/UK/Industry funded projects; including the coordination of two EU-Erasmus Mundus Action 2 Projects (eLINK €5.5m and SmartLink €3m) and EU-Asia-link project EAST-WEST. He has successfully supervised the completions of 19 Post-Docs/PhDs/MRes research studies. Prof. Dahal has published over 95 peer-reviewed journals/conferences papers, and has sat on organising/programme committees of over 50 international conferences including programme chair of SKIMA2006 and SKIMA2013. He has a strong link with HEIs in South-Asia and EU; and has been a visiting professor at Chiang Mai University (Thailand), Kantipur Engineering College (Nepal) and IUT Lumier – Lyon 2 University (France). He is a senior member of the IEEE.
Home Page:

Title: Trust Management in Distributed Systems: Defense against Misbehaving Players

Abstract: The trust management approach has been a hot research topic to decentralized authorization
Management to cope with the needs of distributed systems such as e-commerce and mobile-ad-hoc networks (MANETs). This talk will first give a general overview of trust management between diverse players of distributed systems for enhancing their secure and reliable operation. Recommendation based trust management has been proposed in the literature as a mechanism to filter out the misbehaving players while searching for a reliable partner. However, building a trust model that adopts recommendations by other players in the network is a challenging problem due to the risk of dishonest recommendations. The talk will present our research investigation on the problems of attacks posed by misbehaving nodes in MANET while propagating recommendations in the existing trust models. We will propose a recommendation based trust model with a defense scheme, which dynamically filters out attacks related to dishonest recommendations between the nodes and show our empirical analysis.

Prof. Alamgir Hossain

AlamgirProf. Hossain received the PhD degree from the Department of Automatic Control and Systems Engineering, University of Sheffield, UK. Prior to his current position, he served as a Professor and Head of Computational Intelligence Group (CIG) at the University of Northumbria, Newcastle. Prof. Hossain has extensive research experience in computational intelligence, eHealth, system biology, optimisation, cyber security, data mining, classification, intelligent decision support system, realtime and adaptive control. He has been involved with many collaborative research projects (worth over £12 million) with universities of about 25 countries, enterprises, other organisations and individuals. He acted as a programme chair, organising chair and IPC member of over 30 international conferences during last five years. He has published over 250 refereed research articles and 9 books. He received the "IET- F C Williams 1996" award for a journal paper and 'Best Paper Awards' of the PACBB2013, SKIMA2012, IEEE CIS2012, CSBio 2010 conferences for his papers. He is currently a member of the IEEE.

Title: Plug-in Nature-Inspired Intelligence to Your Research for Smart Solutions

Abstract: In this talk (suitable for wider audiences), Prof. Hossain will present the horizon of Nature- Inspired Intelligence for health, engineering and business related research solutions. This includes applications of various Nature-Inspired algorithms for modelling, data mining, intelligent decision making, information fusion, disease dimension reduction, clustering, optimisation, visualisation, prediction, and performance enhancement. Prof. Hossain will demonstrate the possibility in developing personalised optimal treatment framework using an engineering optimal control scheme. His talk will also brief the future of mobile based self diagnosis, replacement of animal testing model using computational model, intelligent expert systems to empowering people to be a co-manager to their health and animals’ wellbeing. Finally, he will draw conclusion with an indication of the opportunities for potential collaboration with Anglia Ruskin IT Research Institute (ARITI) for research and development activities. See further details of ARITI site:

Dr. Nauman Aslam

NaumanDr. Nauman received his PhD in Engineering Mathematics from Dalhousie University, Halifax, Nova Scotia, Canada in 2008.  He is currently working in the Department of Computer Science and Digital Technologies at Northumbria University, UK.  Prior to joining Northumbria University he worked as an Assistant Professor at Dalhousie University, Canada from 2008 – 2011. Dr. Nauman has extensive research experience in wireless ad hoc and sensor networks with focus on energy efficient protocols, quality of service, security and medium access control.  He is currently involved in two multi-partner collaborative projects (combined worth 5.5 million Euros) funded by EU’s Erasmus Mundus programme. He has published over 50 refereed research articles in international journals and conference proceedings. He has also co-organized international workshops and conference. He also served on many technical program committees, edited journal issues and reviewed papers for several journals. Dr. Nauman is a member of IEEE and IAENG. 

Title: A Perspective into Applications and Research Challenges of Smart Wireless Sensor Networks

Abstract: This talk will present an overview of current research work in the area of Smart Wireless Sensor Networks (WSNs). In particular, the speaker will present historical perspective, new design paradigms, emerging application areas and associated research challenges.  The talk will begin with presenting a fresh look into the existing technologies, current trends and open research challenges.  A portion of the talk will be dedicated to emerging applications in health care where smart devices can remotely monitor a patient’s vital signs as well as other contextual information. These smart devices can be integrated with a variety of traditional healthcare sensors such as ECG/EKG, blood pressure, pulse-oximeter and glucose meter that are used to monitor patient’s physiological data.  The talk will focus on the new design paradigms that are required in healthcare to address the strict real-time requirements, reliability, security and privacy of medical information.  The talk will conclude some highlights on current research efforts at Northumbria University with potential opportunities of collaboration in wireless body sensor networks. 

Dr. Chantal Cherifi

ChantalDr. Chantal Cherifi received her PhD in computer science from Corsica University, France, in 2011. She is currently working as an associate professor at the DISP laboratory, University of Lyon 2, France. Her research interests are focused on large scale real world networks and service oriented architectures. She is involved in several European research projects (H2020, CHIST-ERA). She serves as program committee member in 6 international conferences. She has published about 20 international refereed conference and journal papers. She is currently a member of the IEEE.


Title: Benefits of Semantics and Network Science on Business Process Management

Abstract: Business Process Management is related to the improvement of corporate performances by managing and optimizing companies’ business processes. In the context of enterprise modernization and for a long-term enterprise architecture vision, this strategy allows companies to leverage legacy applications and make them relevant for the future. Business Processes are modeled by the Business Process Management Notation and the Web service format is going to be widely adopted by enterprises to implement tasks or activities of Business Processes. 

Regarding this highly challenging topic, Dr. Cherifi will highlights the use of two very promising approaches i.e. semantics in the representation of Business processes and Web services, and the network science for Web service composition.