جستجوی استاد راهنمای دانشگاهی

• Fuzzy Logic
• Data Mining
• Information Systems Design
• +۲ مورد دیگر

Dr. Miroslav Hudec is an Associate Professor at the Department of Applied Informatics , Faculty of Economic Informatics , University of Economics in Bratislava . He serves as Deputy Head of the Department and has been affiliated since 2013, following his role at the Institute of Informatics and Statistics (INFOSTAT) until 2013. PhD in Informatics, University of Belgrade, 2010 Master's in Operational Research, University of Belgrade, 2005 BSc in Informatics, University of Belgrade, 1996 Hudec's research focuses on fuzzy logic , data mining , linguistic summaries , and statistical information systems . His work bridges computational intelligence with practical applications in business intelligence, survey analysis, and decision support systems. He explores asymmetric conjunctions, aggregation functions, and ordinal sums for interpretable machine learning and adaptive classification. His 15 most recent publications (2016–2022) span journals and conferences like Expert Systems with Applications , Knowledge-Based Systems , and BALCOR . Key themes include fuzzy querying , conformance measures , financial literacy analysis , and explainable AI . Collaborations with Radko Mesiar, Erika Mináriková, and Miljan Vučetić highlight his interdisciplinary approach. Hudec contributes to projects such as VEGA 1/0849/15 and KEGA 025EU-4/2021 , focusing on fuzzy data modeling and educational materials. He has no listed scientific awards but actively participates in academic conferences (e.g., FSTA 2022, IPMU 2022) and serves in the EUSFLAT working group on soft computing in databases.

• Digital Image Processing
• Signal Processing
• Soft Computing
• +۵ مورد دیگر

Prof. Annamária Várkonyiné Kóczy is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University. She holds a joint appointment as a professor at Óbuda University's Institute of Software Design and Software Development. Her academic journey includes: Electrical Engineering studies (Measurement and Control) at Technical University of Budapest (1975-1981) Mechanical Engineering degree (Mechanical Engineer-Teacher) from the same institution (1978-1983) PhD in Computer Science from Technical University of Budapest (1996) DSc (Doctor of Sciences) from Hungarian Academy of Sciences (2010) Habilitation from Széchenyi István University (2017) Her research spans digital signal processing, soft computing, and hybrid techniques for complex systems, with applications in medical diagnostics, intelligent control, and sustainable technologies. She leads projects in computational intelligence and has developed novel algorithms for real-time processing in resource-constrained environments. Recent publications demonstrate strong focus on AI-driven solutions: machine learning for bioacoustic analysis (beehive swarming), fuzzy logic optimizations for edge computing, medical imaging diagnostics (COVID-19 detection), and sustainable energy control systems. Her work consistently bridges theoretical models with practical implementations in healthcare, environmental monitoring, and industrial diagnostics. She has secured multiple research grants including: OTKA K 105846: Intelligent Space and robotics (2012-2017) OTKA K 78576: Intelligent techniques in signal/image processing (2009-2013) GVOP-3.3.1: Intelligent 3D modeling systems (2006-2007) EU Structural Funds projects on vehicle industry collaborations She mentors graduate researchers in applied informatics and leads international collaborations across Europe and Asia, focusing on intelligent systems development.