Plenary speech 1:
Title: Computational Paradox of Deep Learning: A Qualitative Explanation
Vladik Kreinovich
Professor of University of Texas at El Paso, USA
Co-authors: Jonatan Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Abstract:
In general, the more unknowns in a problem, the more computational efforts is necessary to find all these unknowns. Interestingly, in state-of-the-art machine learning methods like deep learning, computations become easier when we increase the number of unknown parameters way beyond the number of equations. In this talk, we provide a qualitative explanation for this computational paradox.
Biography:
Vladik Kreinovich is Professor of Computer Science at the University of Texas at El Paso. His main interests are representation and processing of uncertainty, especially interval computations and intelligent control. He has published 13 books, 39 edited books, and more than 1,800 papers.
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.
Plenary Speech 2:
Title: Fuzzy Control and Nano-Drive Fuzzy Controller for Stepping Motors
Kaoru Hirota
Beijing Institute of Technology
Professor Emeritus Tokyo Institute of Technology, Japan
Summary: The presenter has been studying in the field of fuzzy control systems. His talk is the summary of his research works on fuzzy control. Firstly, fuzzy control mechanism is prelected. Then its industrial application to nano drive fuzzy controller for stepping motors is presented with video demonstrations especially from viewpoints of equiangular step in high resolution and motor vibration. Finally, a few application examples on gate robot are also shown.
Short Biography: Prof. Hirota is currently a professor emeritus at Tokyo Institute of Technology and a foreign expert professor at Beijing Institute of Technology. His research interests include fuzzy systems, intelligent robotics, image understanding, and quantum computing. He received many awards, e.g., “Henri Coanda Medal, Grigore MOISIL Award, Chinese Government Friendship Award, and IFSA Award”, honorary/adjunct professorships from e.g., “de La Salle University (Philippine), the University of Nottingham (UK), 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)”. He organized more than 10 international conferences/symposiums as founding/general/program chairs. He has been publishing 338 journal papers, 56 books, and 634 conference papers.
Plenary Speech 3
Title: Analytics and decision support of germs and viruses in a large hospital (including SARS-CoV-2)
Professor Klaus-Peter Adlassnig, Medical University of Vienna, Austria
Summary: (update later)
 2012 at HL7 Meeting in Vancouver, Canada, © Ken Rubin | Curriculum vitae Klaus-Peter Adlassnig, PhD, MSc, FACMI, FIAHSI Professor of Medical Informatics (retired) former Head of the Section for Medical Expert and Knowledge-Based Systems (now Section for Artificial Intelligence and Decision Support) Center for Medical Statistics, Informatics, and Intelligent Systems Medical University of Vienna, Austria www.meduniwien.ac.at/kpa klaus-peter.adlassnig@meduniwien.ac.at Spitalgasse 23, A-1090 Vienna, Austria tel.: +43-1-40400-66680; fax: +43-1-40400-66250 Medexter Healthcare GmbH CEO and Scientific Head www.medexter.com kpa@medexter.com Borschkegasse 7/5, A-1090 Vienna, Austria tel.: +43-1-9680324; fax: +43-1-9680922 |
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.