Plenary Speakers

Fairness Relations and their Applications to Networking, Data Analysis and Optimization
Mario Koeppen Kyushu Institute of Technology, Japan

Bayesian Reasoning for Military Identification and Classification
Albert Bodenmueller Cassidian, Germany

Run and Share your Research findings: Is it a Novel Era of Research Sharing and Reproducibility?
Layth SLIMAN EFREI, France

ViaRODOS.eu - Implementation of intelligent transport system
Jan Martinovič IT4Innovations - Center of excellence, VSB - Technical University of Ostrava, Czech Republic
Intelligent Systems Design and Applications - A Perspective from Industry
Thillai Raj T. Ramanathan, Chief Technology Officer , MIMOS BERHAD, Malaysia

Fairness Relations and their Applications to Networking, Data Analysis and Optimization
Mario Koeppen Kyushu Institute of Technology, Japan

[Abstract] Social aspects of computing, as they appear in group decision making, fair distribution, equity of resource sharing etc. can often not be expressed by simple function evaluations alone. Relational mathematics, which is studied in mathematical economics and social choice theory, provides a rich and general framework and appears to to be a natural and direct way to express corresponding optimization goals, to represent user preferences, to justify fairness criterions, or to valuate utility. In this talk, we will focus on the specific application aspects of formal relations for design, control and data mining problems. The talk will have two main parts. In the first part, basic approaches from mathematical economics to the problemacy of fairness (in distribution and allocation) are recalled. It is followed by the presentation of a set of relations that are able to represent various aspects of fairness along with their motivation. Starting with the "classical" fairness relations maxmin fairness, proportional fairness and lexicographic minimum, we can recover their mutual relationships and their design flexibility in order to define further relations, with regard to e.g. multi-resource problems, ordered fairness, self-weighted fairness, collaborative fairness, and fuzzy fairness. In the second part, we want to illustrate and demonstrate the application of these concepts to basic data processing and optimization tasks, especially in data mining, multi-agent systems and pattern recognition. In this part we will also mention the tractability of larger-scaled problems by presenting algorithmic approaches by meta-heuristic algorithms derived from well-known evolutionary multi-objective optimization algorithms or extension of sorting algorithms.

[Biography] Mario Köppen was born in 1964. He studied physics at the Humboldt-University of Berlin and received his master degree in solid state physics in 1991. Afterwards, he worked as scientific assistant at the Central Institute for Cybernetics and Information Processing in Berlin and changed his main research interests to image processing and neural networks. From 1992 to 2006, he was working with the Fraunhofer Institute for Production Systems and Design Technology. He continued his works on the industrial applications of image processing, pattern recognition, and soft computing, esp. evolutionary computation. During this period, he achieved the doctoral degree at the Technical University Berlin with his thesis works: "Development of an intelligent image processing system by using soft computing" with honors. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as chair or member of the program committee, incl. the WSC on-line conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is founding member of the World Federation of Soft Computing, and also Associate Editor of the Applied Soft Computing journal. In 2006, he became JSPS fellow at the Kyushu Institute of Technology in Japan, and in 2008 Professor at the Network Design and Reserach Center (NDRC) and 2013 Professor at the Graduate School of Creative Informatics of the Kyushu Institute of Technology, where he is conducting now research in the fields of multi-objective and relational optimization, human-centered computing and multimodal content management.

Bayesian Reasoning for Military Identification and Classification
Albert Bodenmueller Cassidian, Germany

[Abstract] During the last decade a notable change of the requirements concerning situational awareness and network centric warfare operations of Naval and Ground Based Air Defense Systems can be recognized. Induced by the ongoing transformation process of the military forces and the changing security policy a set of additional sensors and information sensors is required to contribute to the tactical picture compilation. 
In the field of military target identification and classification many publications are known describing a data fusion process for typical military sensors and sources. Classical sensor equipment like IFF and ESM and sources like Flight Plans, Airspace Control Procedures, Identification by Origin and Link-16 are well known and standardized how to be integrated into a Bayesian fusion process. These standardized sources will continue to be important information sources of the information fusion process. However further sensor types and information sources will contribute in the future to the information fusion process and will complete the Situational Awareness, especially in the context of asymmetric situations and semi-military missions.
This lecture gives an overview of our solution for the extension of the Bayesian identification process in order to establish a tactical picture for air, surface (naval) and land targets. Additionally it will address System and SW architecture aspects, challenges and other current and future solutions.

[Biography]Albert Bodenmüller was born in 1963. He studied communication engineering and information technology at the University of Applied Sciences of Ulm in 1988. Afterwards he worked as software engineer in the development of radar sensor systems for AEG TELEFUNKEN, which was merged in Deutsche Aerospace and became in the year 2000 part of EADS (European Aeronautic Defence and Space Company). In 1997 he was appointed as head of specialists group for military identification and classification. In 2006 he was nominated as Expert for Tactical Situation Analysis and in 2010 as Senior Expert for Tactical Situation Analysis. He worked on national and international defence projects, e.g. German Frigate classes F124 and F125, Corvette K130, TRS-3D and TRML radar, German Ground based Air Defence System, ANCS for the Finnish Squadron 2000 Naval System, NATO Medium Extended Air Defense System (MEADS), German SAM Operation Centre and NATO UAV project. Further he worked on national defence related studies like Non-cooperative Identification on the Battlefield (NCI) study, Anti Asymmetric Warfare study and the UK Recognition Classification and Identification (RCI) study. His field of interest includes Multi Sensor Integration and Fusion, theory and algorithms for identification and classification source processing and fusion, Situation Awareness, applications for Anti-Asymmetric Warfare, Naval Combat Systems, Ground based Air Defence, Camp Protection and Network Centric Warfare. He filed 5 patents (German DPMA, European Patent Office and also partially USPTO and WIPO) and presented multiple tutorials, trainings and workshops for national and European military customers, institutes and industry partners. He contributed to NATO SET MSS conference and is member of International Society of Information Fusion (ISIF).

Run and Share your Research findings: Is it a Novel Era of Research Sharing and Reproducibility?
Layth SLIMAN EFREI, France

[Abstract] Nowadays, running tests and simulations becomes an essential part of scientific findings validation and experimentation. It becomes crucial to researchers to launch simulations and scripts to evaluate and test their models and algorithms on computer platforms. However, research dissemination methods suffer from a major lack in that they do not allow publishing testing code and scripts along with the published papers, furthermore, conventional simulation software have solely been designed to allow online and crowd testing of simulation codes and scripts. 
In this speech, I’ll try to review the on-going development projects of a Platform as a Service simulation suites dedicated to research community such as “Run&Share” supported by CNRS France, “SimulationPlatform” by Toyota Japan, “IPOL” by ENS France, “RunMyCode” and” others. 
These platforms enable scientists to openly share the code and the data underlying their research publications, furthermore, relying on the powerful parallel processing feature of the grid-based platform, some of these platforms have Benchmarking features i.e. they allow launching effortlessly and simultaneously a collection of simulations codes and scripts using the same set of input data and the same or different running environments.

[Biography]Completed his Diploma in Computer Engineering. Then he obtained his masters in Computer Science (Information systems) and his Phd from INSA Lyon, France. In 2003, he underwent training courses in Development and Implementation program in Computer Software Applications in CMC-TATA, New Delhi, India. In the same year, he also underwent another training course in Information and Communication Technologies in MEIO University and Okinawa International Center, Japan. In 2008, 2009 2010, 2012 and 2013 he did many research stays in Digital Rights Management and image processing in the University of the Ryukyus and Ritsumeikan University - Japan. During the period 2000-2010, he worked as lecturer and assistant professor, did his research and taught Computer Engineering and Information Systems in many universities including INSA, Lyon and the university of the Ryukyus in Japan. Since September 2010 he is associate professor in EFREI, a French engineering school located in Paris.

ViaRODOS.eu - Implementation of intelligent transport system
Jan Martinovič IT4Innovations - Center of excellence, VSB - Technical University of Ostrava, Czech Republic

[Abstract] The mobility of people and goods is one of the basic prerequisites for good functioning of contemporary economies and represents a key element for quality of life development in modern society. However increasing volume of transport is a significant burden on environment and is demanding for energy sources. Looking for balance between benefits and negative impacts of mobility and systematic implementation of intelligent transport system is a major goal of the centre RODOS. In the project period new concepts of control, influence, support and finance of mobility are to be developed.

Transport systems development centre RODOS (http://www.centrum-rodos.eu/ - Center for the Development of Transportation Systems) is based on the long-term partnership between research and private companies determining the direction of intelligent mobility development in the Czech Republic. RODOS presents platform that enables systematic view of traffic as interconnected, communicating and cooperating system.

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[Biography]Jan Martinovič received the Ph.D. degree in computer science from VŠB - Technical University of Ostrava, Czech Republic in 2008. Nowadays, he works as an assistant professor at the same university and as senior researcher in the Centre of Excellence IT4Innovations. He is a researcher dealing with data mining and data processing, with emphasis on intelligent transport system, web search, data compression and social networks. He has authored/co-authored several refereed journal/conference papers and book chapters. He has published more than 70 papers (35 papers recorded at Web of Science, and 62 papers recorded at Scopus).

Intelligent Systems Design and Applications - A Perspective from Industry
Thillai Raj T. Ramanathan, Chief Technology Officer , MIMOS BERHAD, Malaysia

[Abstract]

[Biography]As Chief Technology Officer (CTO) and Head of Information and Communication Technologies (ICT) Division in MIMOS, Thillai Raj is the driver behind software development initiatives and roll-out of proof-of-concept solutions to Malaysia’s key economic sectors.

Prior to joining MIMOS, Thillai Raj was Director of Systems Engineering Group in Motorola and Senior Director of Global Engineering in Flextronics.

In MIMOS, he has been tasked to pioneer the company’s technology roadmap where he leads the ICT Division which consists of the following labs:

  • Accelerated Computing
  • Cloud Computing
  • Image Processing
  • Information Security
  • Knowledge Technology
  • Wireless Communications

In his capacity as CTO of MIMOS, Thillai Raj orchestrates a rapid development process for software engineering labs and institutionalises CMMI industry practices.  Having been involved in Electronics Design and Manufacturing for 20 years with 15 years of management experience, Thillai Raj also possesses in-depth technical skills in Software Engineering.

Under his leadership and guidance, Thillai Raj has led Motorola and MIMOS in achieving CMMI Level 5. He holds a Six Sigma Black Belt and has seven patents to his name.

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