Dr. Zsolt János Viharos, MBA, senior research fellow and project manager of the Institute for Computer Science and Control (SZTAKI) and full researcher and lecturer of the John von Neumann University, in Hungary. In the Research Laboratory on Engineering and Management Intelligence at SZTAKI, he is the leader of the Intelligent Processes Research and Development Group.
He is leading various sizes of industrial, and national or European supported R&D projects with durations from some months up to many years. His typical roles are project sponsorship, project management and content leadership for industrial projects.
He has more than 140 scientific publications resulted in more than 500 independent references, is member of the Boards of Reviewers of the scientific journals: Measurement, Applied Intelligence, Reliability Engineering and System Safety and is member, or chair of various scientific conferences.
His research interests are: artificial neural networks, feature selection, search and multicriteria optimisation, neuro-fuzzy systems, learning on incomplete data, neural system identification, sub-model decomposition, deep learning, learning based experimental design and their applications mainly in the manufacturing sector.
He is leading the Production/Industry 4.0. project team inside the Data Industry and Data Assets working group of the Artificial Intelligence Coalition in Hungary, this team contributed with the sector related content to the Artificial Intelligence Strategy of Hungary.
He is Chairperson of the TC10 on Testing, Diagnostics and Inspection of the International Measurement Confederation (IMEKO) and President of the Hungarian National IMEKO Committee. He is member of the IEEE (Institute of Electrical and Electronics Engineers), and of the International Society of Applied Intelligence, member of the Production Systems section of the Scientific Society for Mechanical Engineering (GTE) in Hungary and member of the Computer and Automation Committee of the public body of the Hungarian Academy of Sciences (MTA), member of the Hungarian Standards Institution (MSZT).
Viharos, Zs. J.; Jakab, R.: Reinforcement Learning for Statistical Process Control in Manufacturing, 17th IMEKO TC 10 and EUROLAB Virtual Conference: “Global Trends in Testing, Diagnostics & Inspection for 2030” to be held on-line, on October 20-22, 2020., in print.