Numerical Methods Professors and Supervisors in Slovenia

Ivan Bratkoمشاهده پروفایل

استاد

University of LjubljanaSlovenia

Ivan Bratko is a Professor of Computer Science at the University of Ljubljana's Faculty of Computer and Information Science. He founded the Artificial Intelligence Laboratory in 1985 and served as its head until 2017, remaining an active member. Until 2002, he also directed the AI group at the Jožef Stefan Institute. His academic journey includes B.Sc., M.Sc., and Ph.D. degrees in electrical engineering and computer science, all from the University of Ljubljana. Bratko's research spans machine learning, knowledge-based systems, qualitative modeling, intelligent robotics, heuristic programming, and computer chess. His work focuses on learning from noisy data, combining learning with qualitative reasoning, constructive induction, Inductive Logic Programming, and applications in medicine and dynamic system control. He has authored over 200 scientific papers and influential books including Prolog Programming for Artificial Intelligence (third edition, 2001), KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems (MIT Press, 1989), and Machine Learning and Data Mining: Methods and Applications (Wiley, 1998). His publication portfolio demonstrates consistent contributions to AI, with recent work emphasizing argument-based machine learning, qualitative modeling applications, and medical AI systems. These publications reveal strong interdisciplinary connections between theoretical AI and practical applications in environmental science, healthcare, and robotics. Fellow of the European Coordinating Committee for Artificial Intelligence (ECCAI) Member of the Slovene Academy of Arts and Sciences (SAZU) Former editorial board member of Artificial Intelligence , Machine Learning , Journal of AI Research , and other leading journals Co-founder and first chairman of the Slovenian AI Society (SLAIS) Bratko has secured numerous research projects including ARRS programs on artificial intelligence (2009-2020), the PARKINSCHECK project for Parkinson's disease detection, and European projects like X-MEDIA and XPERO. His laboratory serves as the central hub for AI research at the University of Ljubljana, fostering collaborations across medical, environmental, and industrial domains. He has mentored numerous researchers and maintained active collaborations through visiting positions at institutions including Edinburgh University, University of New South Wales, and Delft University of Technology.

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Patricio Bulićمشاهده پروفایل

دانشیار

University of LjubljanaSlovenia

Patricio Bulić is an Associate Professor at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia. His primary research focuses on computer architecture, embedded systems, and approximate computing for energy-efficient hardware design. Research Areas: Computer Architecture, Parallel Processing, Embedded Systems, Approximate Computing Affiliation: Faculty of Computer and Information Science (University of Ljubljana) Laboratory: Laboratory for Adaptive Systems and Parallel Processing His recent publications explore logarithmic arithmetic and approximate computing techniques to optimize hardware performance while reducing power consumption. These methods have been applied in sensor networks, digital signal processing, and neural network implementations. Scientific Awards: Professor of the Year 2014 Professor of the Year 2020 Professor of the Year 2021 Professor of the Year 2022 He has led numerous research projects including the ARRS programme on Ubiquitous Computing and COST Action IC1303 for enhanced living environments. His teaching responsibilities include courses in Computer Systems Organization, Parallel and Distributed Systems, and Embedded Systems.

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Gašper Fijavžمشاهده پروفایل

استاد

University of LjubljanaSlovenia

Gašper Fijavž is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana. He serves as the Vice Dean for Education and teaches courses such as Discrete Structures , Discrete Mathematics , and Mathematics 2 . He is a member of the Laboratory for Mathematical Methods in Computer and Information Science .

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Tadej Kandučمشاهده پروفایل

استادیار

University of LjubljanaSlovenia

Assistant Professor Tadej Kanduč specializes in mathematical sciences with teaching responsibilities in Mathematical Modelling, Calculus, and Numerical Mathematics. He is actively affiliated with the Laboratory for Mathematical Methods in Computer and Information Science. His research integrates computational and theoretical frameworks across key domains: Applied Mathematics Computer Science Mathematical Modelling Numerical Analysis The laboratory affiliation underscores his focus on algorithmic and quantitative approaches to information systems. No additional institutional hierarchies or administrative roles are specified in available materials.

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Peter Marijan Kinkمشاهده پروفایل

استادیار

University of LjubljanaSlovenia

Assist. dr. Peter Marijan Kink serves as an Assistant Professor at the University of Ljubljana's Faculty of Computer and Information Science, where he is a member of the Laboratory for Mathematical Methods in Computer and Information Science (LMMRI). His academic responsibilities include: Teaching core mathematics courses: Random Processes 1, Calculus, Probability and Statistics, Mathematical Modelling, Mathematics 1, and Numerical Methods Conducting research from room R3.26 in the LMMRI facility His research integrates mathematical theory with computational applications, specifically focusing on: Probability distributions and statistical inference Dynamic system modeling techniques Numerical algorithm development Stochastic process analysis Foundational calculus applications Dr. Kink's work emphasizes practical implementation of mathematical methods in computer science contexts through the LMMRI, where he contributes to advancing computational mathematics frameworks.

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Martin Vukمشاهده پروفایل

استادیار

University of LjubljanaSlovenia

Martin Vuk is an Assistant Professor of Mathematics at the Faculty of Computer and Information Science, University of Ljubljana, where he teaches Linear Algebra, Numerical Mathematics, and Introduction to Probability and Statistics. He is an active member of the Laboratory for Mathematical Methods in Computer and Information Science, contributing to interdisciplinary research at the intersection of mathematics and computational sciences. His research spans theoretical and applied domains including Numerical Analysis (addressing the curse of dimensionality), Complex Analysis (holomorphic mappings and foliations), Dynamical Systems , and Cryptography . He maintains strong focus on Mathematics Education , developing pedagogical frameworks to enhance critical thinking through projects like NA-MA POTI. Dr. Vuk has led significant research initiatives: Holomorphic mappings and foliations, harmonic analysis and hamiltonian systems (ARRS, 2009-2012) Conquering the Curse of Dimensionality by Using Background Knowledge (ARRS, 2013-2016) NA-MA POTI - Natural Science and Mathematical Literacy (Structural Funds, 2016-2022) Cryptogram - cryptography portal development (Structural Funds, 2017) Razvoj pilota mQuiz (Structural Funds, 2019) Within the Laboratory for Mathematical Methods in Computer and Information Science, he integrates theoretical mathematics with practical computing applications, particularly in educational technology and security systems development.

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Erik Štrumbeljمشاهده پروفایل

پژوهشگر

University of LjubljanaSlovenia

Erik Štrumbelj is a researcher specializing in probability, statistics, and machine learning. His work focuses on stochastic processes, Monte Carlo methods, Bayesian statistics, and applications in sports analytics (player evaluation, match simulation, statistical forecasting). He has contributed to advancing computationally intensive statistical analysis and has collaborated on interdisciplinary projects involving data mining, high-performance computing, and explainable AI. Key research trends include: Developing game theory-based explanations for machine learning predictions Modeling sports outcomes using Markov processes Analyzing forecasting reliability through betting odds Integrating data mining with medical modeling He has been involved in numerous research projects funded by ARRS and international bilateral agreements, addressing topics like imbalanced data analysis, AI explainability, and hypercomputing applications.

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Žiga Unukمشاهده پروفایل

دانشیار

University of MariborSlovenia

Assoc. Prof. Dr. Žiga Unuk is an Associate Professor at the University of Maribor's Faculty of Civil Engineering, Traffic Engineering and Architecture (FGPA), affiliated with the Department of Building Structures and Miroslav Premrov's Lab. His academic roles include membership in the FGPA International Cooperation Commission, facilitating global research partnerships. Education highlights: BSc in Civil Engineering (2011) and MSc in Civil Engineering (2014) from University of Maribor, with exchanges at Graz University of Technology PhD in Civil Engineering focusing on reversible reinforcement techniques for historic timber structures Research expertise spans structural engineering innovations, particularly: Hybrid material systems (timber-glass composites, fiber-reinforced concrete) Non-invasive strengthening methods for building conservation Development of patented structural connections for sustainable construction Current projects include ARIS-funded research on hybrid steel-concrete joints for lattice structures. His 11 publications since 2018 predominantly explore fiber-reinforced concrete behavior, timber-glass composites, and computational modeling of structural elements, with recent work emphasizing experimental validation of hybrid systems. Grants and lab involvement: Leading ARIS-funded postdoctoral project (2022-present) Active researcher in Miroslav Premrov's Lab, focusing on composite material applications

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