Alfons Schuster
University of Ulster at Jordanstown, United Kingdom

Alfons Schuster is a lecturer in the School of Computing and Mathematics, Faculty of Engineering, at the University of Ulster, in Northern Ireland. He earned the D.Phil. degree in computer science from the University of Ulster, Northern Ireland, in 1999, and the B.S. degree in applied physics from the University of Applied Sciences in Munich, Germany, in 1990. Dr. Schuster has worked as an Engineer and Physicist in industry and academia for several years. His experience includes employment in a research project related to inhalation therapy, work as a Computer Network Administrator in a data center, a position as a Project Engineer in the field of environmental (water) research, and work as a freelance Programmer. He worked for the Northern Ireland Bio-Engineering Centre (NIBEC) at the University of Ulster, the Northern Ireland Knowledge Engineering Laboratory (NIKEL), at the same university, and in an R&D project related to artificial intelligence in IT undertaken by the University of Ulster and Nortel Networks Belfast Lab, Northern Ireland. Dr. Schuster's research concerns artificial intelligence, soft computing, robotics, theory of computing, and natural computing. In his research, he has dealt with various problems, techniques, and tools in a variety of application areas such as knowledge-based systems, decision-making under uncertainty, fuzzy expert systems, case-based reasoning, data mining, rough set analysis, Petri nets, genetic algorithms, neural networks, chaos theory, swarm intelligence, virtual reality, and DNA computing. The majority of his papers come from these areas. His current research in artificial intelligence relates to robustness and novel computing models.

Biography Updated on 7 June 2007

Personal Home Page

http://www.infc.ulst.ac.uk/cgi-bin/infdb/buscard?email=a.schuster

Articles in Scholarly Journals [Incomplete List]

  1. In-kernel integration of operating system and infiniband functions for high performance computing clusters: a DSM example
    IEEE Transactions on Parallel and Distributed Systems, vol. 16, no. 9, pp. 830–840, 2005
  2. DNA databases
    Biosystems, vol. 81, no. 3, pp. 234–246, 2005
  3. A multiple approach to data analysis and uncertainty management in knowledge-based systems
    International Journal of Intelligent Systems, vol. 15, no. 2, pp. 93–116, 2000
  4. Applied Intelligence, vol. 7, no. 3, pp. 187–204, 1997