Tadeusiewicz Ryszard, Professor
Biography:
Professor Ryszard Tadeusiewicz studied at the Electrical Engineering Department of the AGH University of Science and Technology in Krakow from which he graduated (with honors) in 1971. Additionally, after receiving his degree in Automatic Control Engineering, he studied at the Faculty of Medicine at the Medical Academy in Krakow, as well as undertook studies in the field of mathematical and computer methods in economics. Since April 1971 he has done research in the areas of bio-cybernetics, automatic control engineering, and computer science. In 1975 he was awarded the Ph.D. degree, and in 1981 the degree of Doctor of Sciences (habilitation). In 1986 he became Professor and in 1991 the Full Professor in AGH (Krakow).
His research interests cover Neural networks, Computer vision, Biomedical engineering, and Distance learning.
He has written and published over 800 scientific papers, which were published in prestigious Polish and foreign scientific journals as well as numerous conference presentations - both national and international. Prof. Tadeusiewicz also wrote over 90 scientific monographs and books, among them are highly popular textbooks (which had many reprints). Total number of Ph.D. graduate students directed: 58, Total number of graduate students advised as Principal Adviser: 228. Elected three times as Rector of AGH University of Science and Technology in Krakow, and several times as a Member of Governmental Central Committee for Scientific Degrees and Titles and Ministry Council for Scientific Research.
In February 1998 Prof. Tadeusiewicz was elected a Member of Polish Academy of Sciences and Arts (PAU), in February 2000 he become Foreigner Member of Russian Academy of Natural Sciences, in May 2002 he was elected a Member of Polish Academy of Sciences (PAN) where now is President of the Krakow branch. In September 2003 Prof. Tadeusiewicz was elected as Titular Member of European Academy of Sciences, Arts and Literature in Paris (
Academie Europeenne des Seciences, des Arts et des Letters) and since 2004 is also Fellow of World Academy of Art and Science (San Francisco & Minneapolis).
He was awarded Honorary Doctor titles by twelve Polish and foreign Universities.
This CV is very short and synthetic. For full information please visit website
www.Tadeusiewicz.pl.
Keynote Title:
Man-Machine Interactions Improvement by means of Automatic Human Personality Identification
Authors:
Ryszard Tadeusiewicz, Adrian Horzyk
Abstract:
During the man-machine interactions planning and forming we must frequently concentrate on the semantic aspects of communication. For example, striving to more acceptable (for users) forms of communication with numerous computer applications we put big effort in the increasing of machine intelligence, developing more advances methods of automatic reasoning and enriching quantity and quality of knowledge built-in into computer resources. Meanwhile, emotions play an equally essential role as rational reasoning in the judge intelligence of a partner. Therefore, a computer could be accepted as intelligent (or even liked) partner in cooperation with the man if it considers human needs, especially the emotional ones. Such needs must be first recognized. Such recognition must be performed during the natural interactions between man and machine because nobody likes to be tested or examined before they can start merit communication with the selected computer application. Moreover, nobody can honestly and objectively classify their own personality. Hence, in this aspect, we cannot obtain necessary information asking a person about his or her features of personality. The keynote will present a new method for automatic human needs recognition. The personality and needs of the partner can be recognized watching the following behaviors:
- verbal, the way of talking, using vocabulary, phrases, inflection, sentence constructions, ...
- non-verbal (body language), facial and body expressions, the way of movement, dressing-up, driving cars, bicycles, … concerning environment, family, etc.
During the typical man-machine communication we can perform automatic passive classification of man personality by means of psycholinguistic analysis. The details of how this personality can be discovered during natural language man-machine communication will be presented during the lecture.
