基本信息
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个人简介
Curriculum Vitae
Laszlo T. Koczy
Degrees earned:
Technical University of Budapest:
- M. Sc. Electrical Engineering 1975,
- M. Phil. Control Eng. 1976,
- Ph.D. 1977,
- Dr. habil 1998,
Doctor of the Hungarian Academy of Science, 1998.
Affiliation: Department of Information Technology, Széchenyi István University
Position: Professor (Dean of Engineering 2002-2011)
President of the University Doctoral Council and University Research Council (2012 – current)
Address: 1, Egyetem tér, 9026 Győr, Hungary
Phone: +36-30-552-6070 E-mail: koczy@sze.hu
Secondary affiliation: Dept. of Telecommunications and Media Informatics
Budapest University of Technology and Economics
Position: Professor
Address: 2, Magyar Tudósok krt., H-1117 Budapest, Hungary
Phone: +36-30-552-6070 E-mail: koczy@tmit.bme.hu
Professor Honoris Causa (University of Miskolc, Faculty of Mechanical Engineering and Informatics)
National Appointment (by Prime Minister):
Member: Hungarian Accreditation Committee (HAC) for Higher Education (2012- current)
Chair: Engineering Sciences Committee, HAC (2012- current)
Co-Chair: Standing committee for doctoral education and professorships, HAC (2018-2019)
Member: Standing committee for professorships, HAC (2019-current)
Chair: Working Group for Professorship criteria, HAC (2019)
Editor-in-chief: Accreditation Review, HAC (2019-current)
Facts about professional activities
• Summary data of scientific activities
Refereed publications total: over 790
Accumulated impact factor of journal papers: 70.837
Citations (independent citations): over 3000
Citations (Google Scholar): over 7000
Hirsch index (Google Scholar): 39
Hirsch index (Scopus): 26
Most important research results:
• Introduction of the concept of fuzzy rule interpolation and the development of a family of fuzzy rule interpolation algorithms
• Introduction of the possibility of rule interpolation in hierarchically structured fuzzy rule bases
• Automatic identification of hierarchical interpolative models from input-output data by clustering and evolutionary algorithms
• Investigation of various fuzzy models and establishment of their mutual equivalence relations
• Concept reduction algorithm for Fuzzy Cognitive Maps
• Analysis of the behavior of Fuzzy Cognitive Maps when non-zero interaction values are uncertain or changing, conditions of fixed point behavior
• Extended Uncertain Cognitive Maps and fixed point behaviour
• Introduction of the concept of fuzzy signatures, fuzzy situational maps based on spatial fuzzy signatures, and fuzzy signature state machines
• Fuzzy communication and collaboration of intelligent robots
• Explicit expressions for fuzzy models
• Approximation and stability properties of fuzzy models and algorithms
• Discrete Bacterial Memetic Evolutionary Algorithm for Solving NP-Hard and uncertain
• abstract problems
• Interpolative fuzzy control of Automatic Guided Vehicles and mobile robots
• Basic results in fuzzy control and dispatching of energetic systems
• Applications in various logistics related problems (routing, packing and packaging, scheduling, marketing and customer satisfaction), introduction of various fuzzy routing models
• Various applications of fuzzy reasoning shell (job exchange, traffic control system, etc.)
• Optimization of fuzzy graphs and unreliable networks
• Information retrieval from verbal documents by fuzzy relational map
• Introduction of the Fuzzy Hough transform
Visiting positions:
• Kaunas Technical University, Vytautas Magnus University, short visiting invitations (2017-2019)
• AGH University, Cracow (2016, 2017, 2019, each 1 month, two intensive courses)
• Sepuluh Nopember Institute of Technology, Surabaya (Indonesia, 2018, “World Class Professor Programme”)
• Deakin University (Geelong, 2015, 3 months, “Thinker in Residence”)
• Australian National University (Canberra 2004-2008, annually; 2014, 1-2 months)
• Auckland University of Technology (2004)
• Helsinki University 2000, 2001, 2015, 2016, 2018 (summer school and NOVA-BOVA Ph.D. course)
• Murdoch University (Perth) 2000- 2003 (annually 1-2 months)
• University of New South Wales (Sydney 1997-1999, annually; 2014 (2 months))
• J. Kepler Universität Linz 1994, 1998 (2 semesters, part time)
• University of Trento 1995-96 (3 semesters, part time)
• Ecole Polytechnique Federale de Lausanne 1995 (summer school)
• Tokyo Institute of Technology 1993-94 (Fuzzy Theory Chair Professor) and 1997 (2 months)
• Pohang Institute of Science and Technology 1992 (7 months)
• Dalian Maritime University (China) 1990 (summer school)
Higher education accreditation activities:
• Member of the Subcommittee for Engineering Sciences, Hungarian Accreditation Committee (HAC) (2010-2012)
• Member of the Hungarian Accreditation Committee (HAC) (appointed by the Prime Minister) (2012-current )
• Chair of the Subcommittee for Engineering Sciences, HAC (2012-current)
• Member of the Standing committee for doctoral education and professors
研究兴趣
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JOURNAL OF INTELLIGENT SYSTEMSno. 1 (2023): 1-14
Nour Ammar,László T. Kóczy
2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES)pp.1-5, (2023)
2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)pp.000587-000592, (2023)
IRANIAN JOURNAL OF FUZZY SYSTEMSno. 3 (2023): 127-146
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ALGORITHMSno. 9 (2023): 406-406
International Conference on Information Processing and Management of Uncertainty (IPMU)pp.288-305, (2022)
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