Dr. Zsolt János Viharos, PhD

Introduction

My first degree is in mathematics-engineering, and my second is in economics: Master of Business Administration (MBA). I earned my Ph.D. in 2000.

Since my university student years, I have been working as a researcher at the HUN-REN Institute for Computer Science and Control (SZTAKI), where I am currently the Head of the Intelligent Processes Research Group.

I have been working at John von Neumann University in Kecskemét since 2015, partly as one of the developers of the economics program, and currently serve as the Vice Dean for Science of the Faculty of Economics and the Head of the Department of Management and Business Law.

My goal is to participate in the entire value chain:

• Education: My main goal at the university is the effective transfer of my knowledge to students, preparation of project assignments, BSc and MSc theses, and the involvement of students in research (according to the topics below), and leading Scientific Student Circle (TDK) works and Ph.D. studies.
• Basic Research: Machine learning, artificial intelligence, feature selection, multi-criteria optimization, handling of missing data, design of experiments.
• Applied Research: Application-specific adaptation of artificial intelligence techniques, primarily in the fields of finance, manufacturing, energy, automotive industry, and brain research.
• Innovation, Development: Creation of innovations, demonstration tools, prototypes, and patents.
• Market Applications: Market exploitation based on research, development, and innovation results.
• Science Management: Participation, and occasionally a leading role, in international and domestic scientific organizations. Popularization and communication of science.

Research Areas:

Basic Research

Artificial intelligence; Machine learning; Artificial neural networks; Search and optimization algorithms; Adaptive, hybrid feature selection; Reinforcement learning; Model structure search; Self-directing learning algorithms; Outlier detection; Non-linear design of experiments; Multi-criteria learning algorithms; Information theory; Neuro-fuzzy systems.

Applied Research

Corruption research (at the macroeconomic level); Schizophrenia and bipolarity predisposition recognition; Differentiation of cholinergic brain neuron cell types; Manufacturing system optimization; Diagnostics, optimization, and control; Measurement technology; Optimization of energy production systems; Control of autonomous vehicles with learning algorithms; Quality optimization; Fault detection using outlier detection; Design of experiments for real processes with optimization goals; Cause-effect discovery in real systems; Robotic portrait drawing.

Taught Subjects

• Business Information Technology
• Management of Value-Added Processes
• Scientific Student Research Group (TDK) preparation
• Production management
• IT management, ERP systems

Professional Experience, Awards/Distinctions

• HUN-REN SZTAKI Publication Award (2022, for 2023 publications);
• Recognition for Review Board Membership of the scientific journal ‘Journal of Applied Intelligence’ (2019);
• Recognition for Review Board Membership of the scientific journal Reliability Engineering and System Safety (2019);
• Chief Technology Manager certificate of Fraunhofer Institute of Production Technology, IPT (2018)
• Recognition for Review Board Membership of the scientific journal International Journal of Applied Intelligence (2018);
• Award from the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) (2018)
• Recognition for Review Board Membership of the scientific journal Measurement (2018);
• Recognition for Review Board Membership of the scientific journal International Journal of Applied Intelligence (2017);
• Award from the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) (2011)
• Hungarian Academy of Sciences: Science Communication and Research Management Training (2008)
• Award from the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) (2006)
• Award from the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) (2005)
• Best Paper Nomination Award from the International Society of Applied Intelligence (ISAI) at the IEA/AIE 2002 conference
• János Bolyai Research Scholarship: Adaptive, Distributed Production Structures and Networks (Hungarian Academy of Sciences), 2001-2004
• Award from the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) (2001)
• Young Researcher Award from the Hungarian Academy of Sciences (1998)
• Ph.D. Student Award from the Institute for Computer Science and Control of the Hungarian Academy of Sciences (MTA SZTAKI) (1998)

Scientific Memberships:

• 01/27/202- János Bolyai Mathematical Society
• 01/01/2020- Ex-Officio Editorial Board Member: Elsevier, Measurement: Sensors scientific journal
• 12/17/2019- Member, MSZT/MB 327 (Noise) and MSZT/MCS 328 (Vibration) Technical Committee, Hungarian Standards Institution (MSZT)
• 02/09/2018- Ex-Officio Editorial Board Member: Elsevier, Measurement scientific journal
• 02/09/2018- Chairman, TC10 on Measurement for Diagnostics, Optimization and Control (earlier: TC10 on Technical Diagnostics) of the International Measurement Confederation (IMEKO)
• 11/26/2018- Member, Hungarian Logistics, Purchasing and Inventory Management Association (MLBKT)
• 01/05/2016- Member, IEEE (Institute of Electrical and Electronics Engineers), No.: 93787359, (memberships in IEEE Computational Intelligence Society; IEEE Signal Processing Society, IEEE Systems, Man, and Cybernetics Society, IEEE Systems Council, IEEE Instrumentation and Measurement Society, IEEE Sensors Council, and as of 06/25/2019 - membership in IEEE TC-22 - Intelligent Measurement Systems)
• 03/10/2014- Member, International Society of Applied Intelligence (ISAI), Review Board Member
• 09/05/2013- President, Hungarian National Committee (representing Hungary), International Measurement Confederation (IMEKO).
• 01/16/2006- Member, Scientific Association of Mechanical Engineers (GTE)
• 01/01/2001- Public Body Member, Hungarian Academy of Sciences (MTA)

Publications

MTMT

Professional Experience, Practice, and Certifiable Recognition

Projects

Further Information: http://www.sztaki.hu/~viharos