Key Notes and Speakers

Prof. dr. Boris Stilman

Boris Stilman is Professor of Computer Science at the University of Colorado Denver (UC Denver), USA and the Chairman & CEO of STILMAN Advanced Strategies (STILMAN), LLC, USA. In 1972, he graduated in Mathematics from Moscow State University (MGU) and received his Ph.D. in Computer Science in Moscow in 1984. After graduation from MGU until 1988, in Moscow, USSR, he was involved in the advanced research project PIONEER led by a former World Chess Champion Professor Mikhail Botvinnik. The goal of the project was to discover and formalize an approach utilized by the most advanced chess experts in solving chess problems almost without search. While program PIONEER has never played complete chess games, it solved a number of complex end-games and positions from the games of World Chess Champions. This project has never been finished, however, based on these experiences over a number of years, in Moscow, Dr. Stilman developed experimental and mathematical foundations of the new approach to search problems in Artificial Intelligence.

In 1990-91, while at McGill University, Montreal, Canada, based on this approach, he originated Linguistic Geometry (LG), a new theory for solving abstract board games. LG allows us to avoid combinatorial explosion by changing the paradigm from search to construction (from analysis to synthesis). It is scalable to solving complex real world problems that are considered intractable by conventional approaches. Since 1991, he was developing the theory and applications of LG at UC Denver. A leap in the development LG was made in 1999, when Dr. Stilman (with a group of scientists and engineers) founded STILMAN, LLC. Since then, he combines his professorship at UC Denver with his leadership role of the Chairman & CEO at STILMAN.

A growing number of applications of LG developed at STILMAN have passed comprehensive testing and are currently transitioning to the real world command and control systems in the USA. The LG software is currently considered vital for the national defense in the USA and UK. Currently, Dr. Stilman is involved in research on discovering the nature of the Primary Language of the human brain (as introduced by J. von Neumann) via investigating major algorithms, crucial for development of humanity, LG and the Algorithm of Discovery. Dr. Stilman published several books, over 200 research papers, and received numerous research awards and grants including those from the US & UK government research agencies such as DARPA and major defense companies such as Boeing.

Intelligent Strategies for Defense Systems



Prof. dr. Abdel-Badeeh M. Salem

Prof. Dr. Abdel-Badeh M Salem is a professor emeritus of Computer Science since September 2007 till now. He was a former Vice Dean of the Faculty of Computer and Information Sciences at Ain Shams University, Cairo-Egypt (1996-2007).  He was a professor of Computer Science at Faculty of Science, Ain Shams University from 1989 to 1996.  He was a Director of Scientific Computing Center at Ain Shams University (1984-1990). His research includes intelligent computing, expert systems, medical informatics, and intelligent e-learning technologies.  He has published around 350 papers in refereed journals and conference proceedings in these areas.  He has been involved in more than 400 conferences and workshops as an Int. Program Committee , organizer and Session Chair.  He is author and co-author of 15 Books in English and Arabic Languages. 

He was one of the founders of the following events, First Egyptian Workshop on Expert Systems 1987, Int. Cairo Conference on Artificial Intelligence Applications in 1992 and Int. Conf. on Intelligent Computing and Information Systems 2002, and one of the main sustainers of annual Int. Romanian Internet Learning Workshop Project (RILW), 1997. In addition he was Secretary of Egyptian Computer Society (1984-1990), Member of National Committee in Informatics – Academy of Scientific Research and Technology (1992-200), Member of Egyptian Committee in the Inter-Governmental Informatics Program, IIP-UNISCO, Paris (1988-1990) and Coordinator of the Annual International Conference for Statistics, Scientific Computing, and Social and Demographic Research (1983-1990).  In addition he was a partner of a MEDCAMPUS Projects on Methodologies and Technologies for Distance Education in Mediterranean (1993-1995)

He is a member of the Editorial Board of the following Journals: Int. Journal of Computing and Information Sciences(IJCIS), Canada; Egyptian Computer Science Journal, EC Newsletter, Education in Computing and Computers in Education, Italy; Scientific Journal of Studia Universitatis Babes-Bolyai, Series Informatica, Cluj – Napoca, Romania; International Journal of intelligent computing in medical sciences and image processing (IC-MED), Japan;  Egyptian Journal for Specialized Studies, Faculty of Specific Education,Ain Shams University,Egypt; Int. Journal of Intelligent Computing & Information Science”,IJICIS, Egypt; Enformatika Transactions on Engineering, Computing and Technology, World Enformatika Society, Turkey; and Int. Journal of Soft Computing Approaches (IJSCA), Eurojournals.

He is a member of Int. Scientific Societies: American Association of Artificial Intelligence (AAAI), USA; British Computer Society, Expert Systems Specialist Group (SGES), Int. Neural Network Society (INNS), USA; Association for the Advancement of Computing Education (AACE), USA; Int. Society for Computers and their Applications ((ISCA), NC, USA, Dec. 95); Int. Society for Telemedicine & eHealth ISfTeH,, Switzerland; Member of Int. Federation for Information Processing (IFIP) Technical Committee WG 12.5, Knowledge-Oriented Development of Applications, Austria (2000 till now), Member of Int. Association for Science and Technology for Development (IASTED), TC on AI and Expert Systems, Int. Association for Science and Technology  for Development, Canada, (2000 till now).

Artificial Intelligence Technology in Health Informatics

Artificial intelligence (AI) is science and technology and is based on many disciplines such as: computer science, philosophy, psychology, mathematics, biology, linguistics, knowledge computing and engineering. AI has been mainly studied as computer based technologies. Various intelligent methodologies, computational techniques and knowledge-based systems have been developed for automated reasoning and learning. AI technologies are robust, can be successfully applied to complex problems, efficiently adaptive, and usually have a parallel computational architecture. For those reasons they have been proved to be effective and efficient in developing intelligent systems for many tasks in health sciences.

The aim of this talk is to make an overview of some of AI techniques and approaches and their applications in medical informatics and health care. The talk covers the following applications: (a) expert systems using the case-based reasoning approach for cancer and heart diagnosis, (b) ontological engineering approach for breast cancer knowledge management, and (c) mining patient data using rough sets theory to determine thrombosis disease.


Prof. dr. Jerzy Grzymala-Busse

Dr. Jerzy W. Grzymala-Busse is a Professor of Electrical Engineering and Computer Science at the University of Kansas since August of 1993.  His research interests include: data mining, machine learning, knowledge discovery, expert systems, reasoning under uncertainty and rough set theory.  He is an author or co-author of four books, he edited 12 books, and published over 300 articles.  He is a member of Editorial Boards of the Foundations of Computing and Decision Science, Fundamenta Informaticae, International Journal of Hybrid Intelligent System, Transactions on Rough Sets, International Journal of Fuzzy Systems and Rough Systems, International Journal of Computer & Systems Engineering and International Journal of Granular Computing, Rough Sets and Intelligent Systems.  He served as a chair or member of program committees for many international conferences. He is a recipient of best paper awards in numerous international conferences. He is a recipient of many awards for teaching excellence.  Listed in Marquis Who is Who in the World, Who is Who in America, etc. He is a member of the Association for Computing Machinery, Association for the Advancement of Artificial Intelligence, International Rough Set Society and Upsilon Pi Epsilon. Between 2010 and 2014 he was a member of the International Rough Set Society Steering Committee, and starting from 2014 he is the elected chair of the IRSS Advisory Board. He is a Fellow of the International Rough Set Society, and a member of the IEEE Granular Computing Technical Committee and IEEE SMC Society Technical Committee on Soft Computing.

Mining Imperfect Data