Keynote Speakers

Keynote Speakers at ICCCC 2016

Co-Sponsored by IEEE Region 8 - Europe, Middle East, Africa

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Prof. Enrique Herrera -Viedma,

DECSAI - University of Granada, Spain

Personal WebPage

Address:
C/ Periodista Daniel Saucedo Aranda, s/n
18071- Granada
Phone: +34 958 244258
Fax: +34 958 243317
E-mail:viedma@decsai.ugr.es

Brief Bio Sketch:

Prof. Dr. Enrique Herrera-Viedma was born in Jódar, Spain, in 1969. He received the M.Sc. and Ph.D. degrees in computer science from the University of Granada, Granada, Spain, in 1993 and 1996, respectively. He is currently a Professor of Computer Science with the Department of Computer Science and Artificial Intelligence, University of Granada, and also the new Vice-President for Research.

Around 27 of his papers are classed as highly cited in the Thomson Reuters database as well as being in the top 1% of the most cited papers in its field (Computer Science and Engineering). His h-index is 52 according to the Web of Science with more than 10.000 citations received and 63 according to Google Scholar with more than 18.000 citations received and he is ranked in the top 1% of the Most Cited Scientists in Engineering according to the Essential Science Indicators of Thomson.

He has recently published in Science [339:6126, p. 1382, 2013] on the new role of the public libraries and he has been identified in the list of Highly Cited Researchers published in 2014 and 2015 by Shangai Center and Thomson Reuters in the categories of Engineering and Computer Science, therefore, being considered one of the world’s most influential scientific researchers. His current research interests include group decision making, consensus models, linguistic modeling, aggregation of information, information retrieval, bibliometric, digital libraries, web quality evaluation, recommender systems, and social media.

Dr. Herrera-Viedma is an Associate Editor of seven core ISI journals such as the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, Knowledge Based Systems, Soft Computing, Fuzzy Optimization and Decision Making, Applied Soft Computing, Journal of Intelligent and Fuzzy Systems, Information Fusion and Information Sciences; and a member of the editorial boards of three core ISI journals Fuzzy Sets and Systems, International Journal of Information Technology and Decision Making, and International Journal of Computational Intelligence. From 2014 he is member of the government of the IEEE SMC Society.

Title of lecture: Intelligent Decision Making and Consesus

Abstract. We analyze the fuzzy decision making models as to develop intelligent decision making processes in the real world. In particular we focus on the soft consensus models by analyzing an overview of consensus models based on soft consensus measures, showing the pioneering and prominent papers, the main existing approaches and the new trends and challenges.

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Prof. Zenonas Turskis,

Vilnius Gediminas Technical University, Lithuania

Address:

Vilnius Gediminas Technical University

Sauletekio al. 11, LT-2040 Vilnius, Lithuania

E-mail: zenonas.turskis@vgtu.lt

Brief Bio Sketch:

WORK EXPERIENCE: Chief Researcher at Vilnius Gediminas Technical University, Faculty of Civil Engineering, Smart Building Technologies Research Institute of Smart Building Technologies, Research Laboratory of Construction Technology and Management, Vilnius (Lithuania); Professor at Faculty of Civil Engineering, Department of Construction Technology and Management, Vilnius (Lithuania); Manager at different Joint Stock Companies (more than 15 years); Computer programmer - Manager at different companies (more than 5 years); Senior engineer, master, chief dispatcher at construction copmpanies (more than 5 years)

EDUCATION AND TRAINING: 1979 Civil engineer at Vilniaus CIVIL Engineering Institute (now Vilnius Gediminas Technical University), Vilnius (Lithuania); 1990 Applied mathematics at Kaunas Polytechnic institute (now Kaunas Technological University), Kaunas (Lithuania); 1993 PhD degree, Technical sciences at Vilniaus Technical University (now Vilnius Gediminas Technical University), Vilnius (Lithuania); 2009 Habilitation procedure, Technological Sciences, Civil Engineering (02T) at Vilnius Gediminas Technical University.

ADDITIONAL INFORMATION: Member and co-founder of „International Academy of Information Technology and Quantitative Management“ (IAITQM); Member of FuturICT FET FLAGSHIP; member of EURO working group „OR in Sustainable Development and Civil Engineering, EWG-ORSDCE“.

Member of editorial boards: „Journal of Civil Engineering and Management“(Thomson Reuters Web of Science), „Technological and Economic Development of Economy“; “International Journal of Information Technology & Decision Making“; “Journal of Construction Engineering”; “Engineering Structures and Technologies”; “Actual Problems of Economics“.

Title of lecture: Lithuanian School on Multiple Criteria Decision Making

Abstract: Ralph Keeney and Howard Raiffa (1976) published book that was instrumental in establishing the theory of multi-attribute value theory (including utility theory) as a discipline. It became a standard reference and text for many generations of study of decision analysis and MCDM. The history of multi-criteria decision-making in Lithuania related with the works of professor E.K. Zavadskas. He presented his PhD in 1973 – he researched the applications of polymer resins in reinforced concrete. A selection of decision-making solutions dominated his research. This is how he significantly developed some elements of rational decisions theory (1982). As a synthesis of research results, in 1987 E. K. Zavadskas defended his Post-Doctoral (Habilitation) Thesis where Judgement Methods applied for construction tasks solutions, and presented the first monograph summarising his achievements. Numerous researchers stimulated by Zavadskas work. There could to be found that among 25 authors that are most cited in the field of MCDM 6 are form Lithuanian MCDM school (based on schoolar.google.com search): the third is E.K. Zavadskas, 7th Z. Turskis, 8th A. Kaklauskas, 16th J. Tamosaitiene, 17th L. Ustinovicius, 24th J. Antucheviciene.

Multi criteria decision making since has become a mainstay of civil engineering, construction technology and management. Furthermore, these methods used for development of decision support systems. Zavadskas and his colleagues (1994) introduced the COPRAS method – the first original Lithuanian MCDM method. Later, new methods of performing multiple criteria analysis in projects developed. Professor’s E. K. Zavadskas team continuously develops new and researches existing MCDM methods for further improvements. Furthermore, variety of the new MCDM methods and software developed in collaboration with academic colleagues from abroad. The Professor and members of his team are members of editorial boards of more than 20 international journals referred in Thomson Reuters Web of Science database and more than 20 other journals. Lithuania was one of the main initiators of international German – Lithuanian – Polish colloquium dedicated to Operational Research (OR) in Civil Engineering (1986). Based on collaboration the idea of setting up of a new EURO working group ´OR in Sustainable Development and Civil Engineering (EWGORSDCE) aroused and it was established. Under E. K. Zavadskas supervision, 33 PhD dissertations were presented (four of his former students were awarded the title of Full Professor).

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Prof. Gang Kou,

Southwestern University of Finance and Economics, Chengdu, China

Address:

Prof. Dr. Gang Kou,

Executive Dean of School of Business Administration,

Southwestern University of Finance and Economics,

Chengdu, 611130, China, E-mail: kougang@yahoo.com

Brief Bio Sketch: Dr. Gang Kou (b. December 12, 1975) is a Professor and Executive Dean of School of Business Administration, Southwestern University of Finance and Economics. He is managing editor of International Journal of Information Technology & Decision Making and series editor of Quantitative Management (Springer). Previously, he was a research scientist in Thomson Co., R&D. He received his Ph.D. in Information Technology from the College of Information Science & Technology, University of Nebraska at Omaha; got his Master degree in Department of Computer Science, University of Nebraska at Omaha; and B.S. degree in Department of Physics, Tsinghua University, Beijing, China.

He has participated in various data mining projects, including data mining for software engineering, network intrusion detection, health insurance fraud detection and credit card portfolio analysis. His research interests are in Data mining, Multiple Criteria Decision Making and Information management.

He has published more than eighty papers in various peer-reviewed journals and conferences. He has over 2,000 citations in Google Scholar.

Title of lecture:

The theorem and methodologies of the data analysis in the decision making,

Abstract: : In the multi-criteria decision making, decision matrices are used extensively to gather the related decision information and/or quantify experts' judgments so as to compute the priority vectors of alternatives. Therefore, the theorem and methodologies of the data analysis in the decision matrices have been widely studied from different perspectives, and various approaches and models have been proposed over the past few decades. The pairwise comparison matrix , one of the most popular decision matrices in the decision making, usually involves the following issues in practice: uncertain or missing data estimation, cardinal/ordinal inconsistency identification, consistency index, priority derivation and sensitivity analysis due to unavailable or asymmetric information, prejudice, limited expertise and the complicated decision problems in nature etc, which could result in invalid even wrong decision making. In this study, some theorems and methodologies of the data analysis are proposed to tackle the above issues in the decision matrices.

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Prof. Gintautas Dzemyda,

University of Vilnius , Lithuania

Gintautas Dzemyda
Prof. Dr. Habil.
Full member of the Lithuanian Academy of Sciences

Director of the Institute of Mathematics and Informatics
Head of the Systems Analysis Department

Institute of Mathematics and Informatics
Vilnius University
Akademijos St. 4
Vilnius, LT-08663
Lithuania
e-mail: gintautas.dzemyda@mii.vu.lt

Brief Bio Sketch: Prof. Gintautas Dzemyda was born in Vilnius, Lithuania, on July 24, 1957. In 1984 he received the doctoral degree in technical sciences (Ph.D.), and in 1997 he received the degree of Doctor Habilius from the Kaunas University of Technology. He was conferred the title of Professor (1998) at the Kaunas University of Technology. Full member of the Lithuanian Academy of Sciences (2011).

Recent employment is at the System Analysis Department of the Vilnius University Institute of Mathematics and Informatics as a Head of System Analysis Department and Principal Researcher. Since 2005, he is a Director of the Vilnius University Institute of Mathematics and Informatics.

The research interests include visualization of multidimensional data, optimization theory and applications, data mining, multiple criteria decision support, neural networks, parallel computing, internet data mining, recommender systems, image analysis. Applied problems have been solved in various areas including medicine and technologies. A software is designed both for general purposes and for applications. International and national RTD projects are managed. The author of 220 research papers, one monograph, five textbooks and two electronic courses for students.

Editor in Chief of the international journals Informatica (http://www.mii.lt/informatica) and the Baltic Journal of Modern Computing (http://www.lu.lv/baltic-journa...), Executive Editor a member of Editorial Board of the international journals: - Nonlinear Analysis: Modelling and Control (Associate Editor), - Informatics in Education, - Journal of Civil Engineering and Management, - Vestnik BSU. Series 1. Physics. Mathematics. Informatics, - Information Technology and Management Science. The Journal of Riga Technical University. Member of Lithuanian Computer Society, Lithuanian Mathematical Society, Lithuanian Operational Research Society, IFIP Technical Committee 12 Artificial Intelligence.

Title of lecture: Methods and Applications of the Multidimensional Data Visualization

Abstract: Human participation plays an essential role in most decisions when analyzing data. The huge storage capacity and computational power of computers cannot replace the human flexibility, perceptual abilities, creativity, and general knowledge. A proper interaction between human and computer is essential. Moreover, such an interaction is one of the areas in computer science that has evolved a lot in recent years. Real data in technologies and sciences are often high-dimensional. So it is very difficult to understand these data and extract patterns. One way of such an understanding is to make a visual insight into the data set. Here a hopeful view may be put on the visualization of multidimensional data.

It is often desirable to visualize a data set the items of which are described by more than three features. Therefore, we have multidimensional data and our goal is to make some visual insight into the data set analyzed. For human perception, the data must be represented in a low-dimensional space, usually of two or three dimensions. The goal of visualization methods is to represent the multidimensional data in a low-dimensional space so that certain properties (e.g. clusters, outliers) of the structure of the data set were preserved as faithfully as possible. The dimensionality reduction or visualization methods are recent techniques to discover knowledge hidden in multidimensional data sets.

The main items that are covered by the presentation:

· Multidimensional data visualization: idea and advantages

· Traditional methods: Multidimensional scaling (MDS), Sammon’s mapping

· Visualization of multidimensional data by using neural networks (SOM, SAMANN)

· Combinations of traditional methods and neural networks

· Nonlinear manifold learning methods

· Software for visualization of multidimensional data

· Application of multidimensional data visualization in medicine

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Prof. Florin Gheorghe Filip

Prof. Dr. Florin Gheorghe Filip,

Full member of Romanian Academy

Calea Victoriei 125, Sector 1, Bucureşti,

tel 021.212.82.84, 021.212.82.85, fax 021.212.58.56

ffilip@acad.ro

Brief Bio Sketch: A

Acad. Florin Gheorghe Filip was born on 25 of July 1947. Still very young he became corresponding member of the Romanian Academy (in 1991, when he was only 44 years old), and at 52 years old (1999) become full member in the highest cultural and scientifical forum of Romania, something that is extremely rare in the “world of immortals”. For 10 years, during 2000-2010, he was Vice-President of the Romanian Academy and since 2010 was elected President of the XIV Section “Information Science and Technology”. Presently he is also the director of the Romanian Academy Library. He was managing director of National Institute for R&D in Informatics (1991-1997). He authored/coauthored over 250 papers published in international journals (IFAC J Automatica, IFAC J Control Engineering Practice, Annual Reviews in Control, Computers in Industry, System Analysis Modeling Simulation, Large Scale Systems etc) and contributed volumes printed by international publishing houses (Pergamon Press, Springer, Kluwer, Chapmann & Hall etc). He is also the author/coauthor of ten monographs. He was an IPC member of more than 50 international conferences held in Europe, USA, South America, Asia and Africa and gave plenary papers at scientific conferences held in Chile, China, France, Poland, Portugal, Rep. of Moldova, Spain, Tunisia, UK. He is co-founder and Editor-in-Chief of International Journal of Computers Communications & Control and co-founder of International Conference Computers Communications & Control. He has received Doctor Honoris Causa title from "Lucian Blaga" Univers ity of Sibiu (November 2000), "Valahia" University, Targoviste (2007), "Ovidius" University, Constanta (2007), Ecolle Centrale de Lille (France) (2007), Technical University ”Traian Vuia”, Timisoara (2009), Agora University of Oradea (2012) and Academy of Economic Studies, Bucharest (2014).

Title of lecture: From Fitt's list to modern incremental platforms: the impact of modern I&CT technologies

Abstract. In 1951, Paul Fitt proposed the well known MABA-MABA (“man is better at-machine is better at”) list in his paper entitled “Some basic questions in designing an air navigation and traffic control system”. The list contained 11 statements meant to recommend proper function allocation to man and automation artifacts in designing control schemes. Since then dramatic evolutions have been noticed in business models, information and communication technologies (ICT), and human’s skills and knowledge. The paper aims at reviewing such changes with a particular emphasis on the multi-participant decision-making activities in management and control setting. It first describes the attributes of the modern organization characterized by an ever increased degree of intra- and inter-enterprise collaboration. The transition of the management and control schemes from pure hierarchical structures to more cooperative ones is addressed next. The corresponding evolving role of the man “in the loop” is described next and the allocation of functions on level of automation of the current context is discussed. Several key technologies such as business intelligence and analytics, web technology and social networks, mobile and cloud computing that enable e-collaboration are reviewed. The talk concludes by presenting a practical incremental ICT platform meant to support multi-participant decision-making.

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Prof. Ioana Moisil

Ioana Moisil

Prof. Dr. Ioana Moisil,

University “Lucian Blaga” of Sibiu, Romania

Faculty of Sciences,

Research Center for Informatics and Information Technology

No. 5-7, Dr. Ion Ratiu st., 550012 Sibiu, Romania,

Phone:+40-(0)-269 21.66.42, Fax:+40-(0)-269 21.66.17, im25sibiu@gmail.com

Brief Bio Sketch:

Prof. Ioana I. Moisil was born in 1948, in Bucharest, Romania. She obtained the M.Sc . in mathematics-mechanics at the University of Bucharest in 1971, and later the Ph.D. in mathematics – statistics and probabilities at the Romanian Academy. She has, as a second specialisation, informatics, and she obtained the scientific degree from the School of Public Health-Universite Libre de Bruxelles, Belgium. She started her career at the Institute for Research in Informatics – ICI Bucuresti, then moved on to the „Carol Davila” University of Medicine, the Ministry of Health and since 1999 at the „Lucian Blaga” University of Sibiu. She was a full professor at the “Lucian Blaga” University of Sibiu (ULBS).

She is currently retired, but continues the collaboration with the university in the frame of the Research Center for Informatics and Information Technology –Faculty of Sciences –ULBS.

She became seriously interested in medical informatics in 1985 through a project regarding an electronic directory for homeopathy, developed at the Institute for Research in Informatics – ICI Bucuresti. Since then she promoted medical informatics through lectures, presentations, publications, organizing conferences and workshops. After 1990 she was actively involved in several research projects, at national and European level. Her academic interests cover fields as: applied informatics in bio-medicine, nursing informatics, education and economics, statistical modelling, artificial intelligence, decision making.

She has more than 180 papers published in international journals. She promoted nursing informatics in Romania with the support of prof. Marianne Tallberg, IMIA SIG-NI and the Telenurse (coordinated by Randi A. Mortensen) projects team. As a member of the Romanian Medical Informatics Society she coordinated until 2011 the Nursing Informatics Working Group. Among others , she contributed to the Telemedicine Glossary 3rd, 4th , 5th edition, Working document of EC, DG Information Society Technologies, Bruxelles, Belgium, 2001, 2002, 2003 and to the Nursing and Informatics for the 21st Century, by Charlotte A. Weaver RN, PhD, Editor, Connie W. Delaney PhD, RN, FAAN, Editor, Mr. Patrick Weber RN, MA, Editor, Ms. Robyn Carr, RGON, Editor, ISBN: 0-97161277-5-X, HIMSS, SUA, 2006 ( HIMSS –Book of the Year Award 2006).

Ioana Moisil is a member of the RMIS (Romanian Medical Informatics Society), EFMI, IMIA, ISCB, of the HIT Foundation –Health Informatics & Telematics, honorary member of the Medical Association J.E.Purkyne of Boemia – Boemia Society for Biomedical Engineering and Medical Informatics – Czech Republic and of the cultural association ASTRA –Sibiu (Romania).In 2010 she launched as editor the International Journal of Advanced Statistics and IT&C for Economics and Life Sciences (now edited by prof. Daniel Volovici). She is also one of the editors of the cultural publication “Lumina slovei scrise”( “The Light of the Written Word”).

Title of lecture: The wonderful adventures of the mathematician in Logic-land: from Łukasiewicz-Moisil Logic to Computers

Abstract. In 1996 Grigore C. Moisil received posthumously the IEEE Computer Pioneer Award for "the development of polyvalent logic switching circuits, the Romanian School of Computing, and support of the first Romanian computers." Moisil, one of the greatest Romanian intellectuals, was first of all a gifted mathematician. His mentors were Bertrand Russell, Stefan Banach and Kazimierz Kuratowski, and the Romanian mathematicians Dimitrie Pompeiu, Gheorghe Ţiţeica, Traian Lalescu and Anton Davidoglu. He graduated mathematics at the University of Bucharest in 1926 and obtained the Ph.D. in 1929 with a thesis of applied mathematics “Analytical Mechanics of Continuous Systems”. His first works were devoted to functional analysis applied in the mechanics of deformable media and also to abstract algebra. He had a special sense for new directions in mathematics and the encounter, at the University of Iassy, with the Polish school of logic, marked the beginning of the wonderful adventures in the field of multi-valued logic. In my contribution I will try to point out the milestones of the journey of the mathematician towards the magic world of computer science.