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Submission: 30 September 2020. Acceptance Notification: 30 October 2020. Camera-Ready: 30 November 2020

Speech 1: Knowledge Management for Clinical Decision Support

Klaus-Peter Adlassnig, Medical University of Vienna, Austria
Klaus-Peter Adlassnig, Medical University of Vienna, Austria

Biography: Klaus-Peter Adlassnig received his MSc degree in Computer Science from the Technical University of Dresden, Germany, in 1974. He joined the Department of Medical Computer Sciences of the University of Vienna Medical School, Austria, in 1976. In 1983, he obtained his PhD degree in Computer Sciences from the Technical University of Vienna, Austria, with a dissertation on “A Computer-Assisted Medical Diagnostic System Using Fuzzy Subsets”. Dr. Adlassnig was a postdoctoral research fellow with Professor Lotfi A. Zadeh at the Computer Science Division at the Department of Electrical Engineering and Computer Sciences of the University of California at Berkeley, U.S.A., from 1984–86. He received his Venia docendi for Medical Informatics from the University of Vienna in 1988 and became Professor of Medical Informatics in 1992. In 1987, he received the Federal State Prize for excellent research in the area of rheumatology, awarded by the Austrian Federal Ministry for Health and Environmental Protection. From 1988–2015, he was head of the Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences of the University of Vienna Medical School (now: Section for Artificial Intelligence and Decision Support at the Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna). In 2014, he has been elected to Fellow of the American College of Medical Informatics (ACMI), and in 2018 to Fellow of the International Academy of Health Sciences Informatics (IAHSI).

Prof. Adlassnig was a Visiting Professor at the Department of Medicine, Section on Medical Informatics, at the Stanford University Medical Center, U.S.A., in summer 1993, and a guest lecturer and guest professor at the Department of Electrical and Biomedical Engineering in the Technical University of Graz, Austria, from 1994 to 2004. He spent the summer 2000 as a visiting scholar at the Department of Electrical Engineering and Computer Sciences, Computer Science Division, Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley, U.S.A., May 2005 as guest researcher at the Department of Computer Science, Meiji University, Kawasaki, Japan, and September 2008 as visiting scientist at the Clinical Decision Making Group, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge/U.S.A.

From 2002 to 2016, Prof. Adlassnig was the Editor-in-Chief of the International Journal “Artificial Intelligence in Medicine”, Elsevier Science Publishers B.V., and was the director of the Ludwig Boltzmann Institute for Expert Systems and Quality Management in Medicine from 2002 until 2005. He is co-founder, CEO, and Scientific Head of Medexter Healthcare GmbH (www.medexter.com), a company established to broadly disseminate intelligent medical systems with clinically proven usefulness. Since its inception in 2002, Medexter succeeded in establishing technical platforms and clinical decision support systems for a number of academic, commercial, and clinical institutions.

Prof. Adlassnig’s research interests focus on computer applications in medicine, especially medical expert and knowledge-based as well as clinical decision support systems and their integration into medical information and web-based health care systems. Prof. Adlassnig is highly interested in formal theories of uncertainty, particularly in fuzzy set theory, fuzzy logic, fuzzy control, and related areas. He is equally interested in the theory and practice of computer systems in medicine. Prof. Klaus-Peter Adlassnig’s sphere of interest includes various aspects of the philosophy of science, particularly the state and future impact of artificial intelligence.

Speech 2 (TBD)

Bernard DeBaets, University of Gent, Belgium
Bernard DeBaets, University of Gent, Belgium

Biography: Bernard De Baets holds an M.Sc. degree in Mathematics, a Postgraduate Degree in Knowledge Technology and a Ph.D. degree in Mathematics. He is currently a Full Professor at Ghent University, where he is leading the research unit Knowledge-Based Systems (KERMIT) as well as Department of Mathematical Modelling, Statistics and Bio-informatics. Bernard is a Government of Canada Award holder, an Honorary Professor of Budapest Tech, a Fellow of the International Fuzzy Systems Association and has been nominated for the Ghent University Prometheus Award for Research. He has acted as supervisor of over 50 Ph.D. students and has published over 400 peer-reviewed journal publications. At present he is Co-Editor-in-Chief of Fuzzy Sets and Systems and a member of the Editorial Board of several other journals. He has delivered over 200 (invited) conference lecture.

Speech 3 (TBD)

Vladik Kreinovich, Vice President of IFSA, University of Texas at El Paso, USA
Vladik Kreinovich, Vice President of IFSA, University of Texas at El Paso, USA

Biography: Vladik Kreinovich received his MS in Mathematics and Computer Science from St. Petersburg University, Russia, in 1974, and PhD from the Institute of Mathematics, Soviet Academy of Sciences, Novosibirsk, in 1979. From 1975 to 1980, he worked with the Soviet Academy of Sciences; during this time, he worked with the Special Astrophysical Observatory (focusing on the representation and processing of uncertainty in radioastronomy). For most of the 1980s, he worked on error estimation and intelligent information processing for the National Institute for Electrical Measuring Instruments, Russia. In 1989, he was a visiting scholar at Stanford University. Since 1990, he has worked in the Department of Computer Science at the University of Texas at El Paso. In addition, he has served as an invited professor in Paris (University of Paris VI), France; Hannover, Germany; Hong Kong; St. Petersburg and Kazan, Russia; and Brazil.

His main interests are the representation and processing of uncertainty, especially interval computations and intelligent control. He has published eight books, 24 edited books, and more than 1,500 papers. Vladik is a member of the editorial board of the international journal "Reliable Computing" (formerly "Interval Computations") and several other journals. In addition, he is the co-maintainer of the international Web site on interval computations http://www.cs.utep.edu/interval-comp.

Vladik is Vice President of the International Fuzzy Systems Association (IFSA), Vice President of the European Society for Fuzzy Logic and Technology (EUSFLAT), Fellow of International Fuzzy Systems Association (IFSA), Fellow of Mexican Society for Artificial Intelligence (SMIA), Fellow of the Russian Association for Fuzzy Systems and Soft Computing; he served as Vice President for Publications of IEEE Systems, Man, and Cybernetics Society 2015-18, and as President of the North American Fuzzy Information Processing Society 2012-14; is a foreign member of the Russian Academy of Metrological Sciences; was the recipient of the 2003 El Paso Energy Foundation Faculty Achievement Award for Research awarded by the University of Texas at El Paso; and was a co-recipient of the 2005 Star Award from the University of Texas System.

Speech 4 (tentative)

Kaoru HIROTA, Beijing Institute of Technology, China
Kaoru HIROTA, Beijing Institute of Technology, China

Biography: Dr. Hirota received Dr. E. degrees from Tokyo Institute of Technology in 1979. He is currently a professor emeritus at Tokyo Institute of Technology, a director of Japan Society for the Promotion of Science Beijing Office, and a professor at Beijing Institute of Technology (in the framework of 1000 global experts program, Chinese government). His research interests include fuzzy systems, intelligent robotics, and image understanding. He experienced president of IFSA (International Fuzzy Systems Association), and president of SOFT (Japan Society for Fuzzy Theory and Systems.) He is currently life members of IEEE, Robotics Society of Japan, Information Processing Society of Japan, and Signal Processing Society of Japan, an honorary member of SOFT, a fellow of IFSA, and a life fellow of ISME (Int. Society of Management Engineering). “Banki Donat Medal, Henri Coanda Medal, Grigore MOISIL Award, SOFT best paper award, Acoustical Society of Japan best paper award, and Chinese Government Friendship Award”, honorary/adjunct professorships from “de La Salle University (Philippine), Changchun Univ. of Science & Technology (China), Harbin University of Science and Technology (China), the University of Nottingham (UK), Beijing Institute of Technology (China), and Chinese University of Geosciences Wuhan (China)”, and Honoris Causa from “Bulacan state university (Philippine), Budapest Technical University (Hungary), Szechenyi Istvan University (Hungary), and Technical University of Kosice (Slovakia)” were awarded to him. He organized more than 10 international conferences/symposiums as founding/general/program chairs. He has been publishing more than 305 journal papers, 55 books, and 587 conference papers.

Speech 5 (TBD)

Marek Reformat, IFSA President, University of Alberta, Canada
Marek Reformat, IFSA President, University of Alberta, Canada

Biography: Marek Reformat received his MSc degree (with honors) from Technical University of Poznan, Poland, and a PhD degree from University of Manitoba, Canada.

His initial research projects involved different aspects related to computer networks, especially in the area of management and performance measurement. He co-authored several papers and reports regarding this topic. During his PhD studies, his research interests included distributed computing, with emphasis on fault-tolerant systems in such frameworks as Parallel Virtual Machine (PVM) and Message Passing Interface (MPI); optimization methods; and fuzzy sets and systems. His principle interest was related to evolutionary computing and its application to optimization problems. He proposed a new methodology for design of control systems, which relied on a combination of advanced system simulators and genetic computation. He applied this concept to the control design problem in the area of power systems. In 1997 he joined the Manitoba HVDC Research Centre, where he was a member of a simulation software development team. He was involved in improvement and development of an electromagnetic transients program for time-domain simulation, performed functional and structural testing of the software, and provided expert consulting services in the area of simulation and modeling internationally.

Marek has been with the Department of Electrical and Computer Engineering at University of Alberta since July 2000. He is Professor and Associate Chair of Graduate Studies in the Department. In addition, he is an Associate Editor of a number of journals related to computational intelligence and software engineering. He has been a member of program committees of several conferences related to those areas. He is actively involved in North American Fuzzy Information Processing Society (NAFIPS). He is a member of the IEEE and ACM.

Research Interests

The goal of Marek Reformat’s research activities is to develop methods and techniques for modeling data and knowledge, as well as design systems that possess abilities to imitate different aspects of human behavior. In this context, he uses concepts of computational intelligence — granular (fuzzy) computing, neuro computing, and evolutionary computing — as key elements necessary for capturing relationships between pieces of data and knowledge, as well as for mimicking human ways of reasoning about opinions and facts. He combines these methods with techniques capable of dealing with uncertainty - Bayesian systems, and Dempster-Shafer's evidence theory. These activities focus on introduction of human aspects to software systems, and development of more human-aware and human-like systems.

Current Research

The current research projects embrace the following areas:

  • Knowledge extraction and knowledge representation: application of fuzzy, neurofuzzy and evolutionary computing methods to discovery and representation of knowledge.
  • Decision support: application of different forms of knowledge representation to construction of systems supporting decision-making processes; integration of uncertainty — expressed using probability theory (Bayesian networks), Dempster-Shafer theory, and fuzzy measures — with decision support systems.
  • Semantic-based intelligent systems: development of intelligent systems capable of providing more human-like outcomes based on ontologies and reasoning engines; applications include computing with words, semantic web, and systems for information analysis.
  • Software quality and maintenance: development of models for estimation and prediction of quality and maintenance related aspects of software components.

Speech 6 (Tentative)

Michio Sugeno, Tokyo Institute of Technology, Japan
Michio Sugeno, Tokyo Institute of Technology, Japan

Biography: Michio Sugeno (LM’18) received the B.Sc. degree from the Department of Physics, University of Tokyo, Tokyo, Japan, in 1962.,He was with the company for three years and then with the Tokyo Institute of Technology, Tokyo, Japan, as a Research Associate, an Associate Professor, and a Professor from 1965 to 2000. After retiring from the Tokyo Institute of Technology, he was a Laboratory Head with the Brain Science Institute, RIKEN, from 2000 to 2005 and then as a Distinguished Visiting Professor with the Doshisha University from 2005 to 2010. Finally, he was an Emeritus Researcher with the European Centre for Soft Computing, Spain, from 2010 to 2015. He is currently an Emeritus Professor with the Tokyo Institute of Technology.,Mr. Sugeno was the President of the Japan Society for Fuzzy Theory and Systems from 1991 to 1993, and also the President of the International Fuzzy Systems Association from 1997 to 1999. He is the first recipient of the IEEE CIS Pioneer Award in Fuzzy Systems with Zadeh in 2000. He was the recipient of the 2010 IEEE Frank Rosenblatt Award. He was also the recipient of the IEEE IEEE International Conference on Systems, Man, and Cybernetics 2017 Lotfi A. Zadeh Pioneer Award.

Speech 7 (Tentative)

Anh Nguyen, Auburn University, USA
Bernard DeBaets, University of Gent, Belgium

Biography: Anh completed his Ph.D. in 2017 at the University of Wyoming, working with Jeff Clune and Jason Yosinski. He is an Assistant Professor in Computer Science at the Auburn University, USA. His current research focus is Deep Learning, specifically explainable artificial intelligence and generative models. He has also worked as an ML research intern at Apple and Geometric Intelligence (now Uber AI Labs), and Bosch. Anh’s research has won 3 Best Paper Awards at CVPR, GECCO, ICML Visualization workshop, respectively, and 2 Best Research Video Awards at IJCAI and AAAI, respectively.

Speech 8 (TBD)

Junzo Watada, Universiti Teknologi PETRONAS, Seri-Iskandar, Perak Malaysia
Junzo Watada, Universiti Teknologi PETRONAS, Seri-Iskandar, Perak Malaysia

Biography: Prof Junzo Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Japan, and his Ph.D degree from Osaka Prefecture University, Japan. Currently, he is a professor, the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, and a Professor Emeritus at Waseda University. He is the president of Forum for Interdisciplinary Mathematics (2019-2021). He is a Life Fellow of the Japan Society for Fuzzy Theory and intelligent informatics (SOFT). Prof Watada is an IEEE senior member, Executive Chair of ISME, WCICME. He is a Co-principal Editor, a Co-Editor and an Associate Editor of various international journals, including IDT journal, ICIC Express Letters, International Journal of Systems and Control Engineering, and Fuzzy Optimization & Decision Making. His professional interests include human centric data mining, soft computing, tracking systems, knowledge engineering, financial engineering and management engineering.