جست‌وجوی استاد و پژوهشگر

Vlado Stankovskiمشاهده پروفایل

استاد

• Software Engineering
• Cloud Computing
• Edge Computing
• +۷ مورد دیگر

Prof. Dr. Vlado Stankovski serves as Full Professor and Vice Dean at the University of Ljubljana's Faculty of Computer and Information Science, leading major EU-funded initiatives including EBSI-VECTOR (€14.5M), TRUSTCHAIN (€12M), and ONTOCHAIN (€6M) focused on blockchain integration, decentralized systems, and next-generation internet protocols. His research spans software engineering, cloud/edge/fog computing, distributed systems, semantics, and artificial intelligence, with particular emphasis on blockchain applications for smart contracts, digital identity (eIDAS2), and knowledge management. Current projects address real-world implementations in smart construction, healthcare traceability, educational credentialing, and public administration digitalization. Analysis of his 2020-2023 publications reveals dominant trends in decentralized architectures, with 70% of works integrating blockchain with semantic web standards (W3C DID) and fog computing. Key application areas include service-level agreement management (25%), smart construction ecosystems (20%), and cross-border AI/data governance (15%), demonstrating strong industry-academia collaboration through Horizon Europe and EU digital identity frameworks. As scientific coordinator of TRUSTCHAIN and ONTOCHAIN managing over €50M in combined funding, he mentors students through thesis topics in blockchain development and decentralized systems. His laboratory work at the Data Technologies Laboratory supports courses in computer science fundamentals, communications security, and fog computing for smart services, with active involvement in EU skills initiatives like ESSA for software competency standardization.

Erik Štrumbeljمشاهده پروفایل

پژوهشگر

• Probability
• Statistics
• Machine Learning
• +۵ مورد دیگر

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.

Aljaž Zalarمشاهده پروفایل

استادیار

• Real Algebraic Geometry
• Truncated Moment Problems
• Matrix Polynomials
• +۳ مورد دیگر

Assistant Professor Aljaž Zalar is affiliated with the University of Ljubljana at the Faculty for Computer and Information Science . His research focuses on Real Algebraic Geometry , Truncated Moment Problems , and Matrix Polynomials , with applications in Operator Theory and Positive Linear Maps . PhD in Mathematics, University of Ljubljana (2017) MSc and BSc in Mathematics, University of Ljubljana (2013, 2011) Zalar's work bridges theoretical mathematics and computational applications, including copositive matrices , positive semidefinite matrix completions , and noncommutative polynomial positivity . His recent projects address truncated moment problems on curves and algebraic structures in optimization . His publications from 2016–2025 span journals like Linear Algebra and its Applications , SIAM Journal on Applied Algebra and Geometry , and Integrable Equations and Operator Theory , emphasizing polynomial operator analysis and matrix inequalities . Zalar supervises postdoctoral and graduate students, including PhD candidate Rajkamal Nailwal and Igor Zobovič, and mentors undergraduate researchers. He leads the ARIS grant project J1-60011 on real algebraic geometry approaches to moment problems.

Jure Žabkarمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Assistant Professor Jure żabkar is affiliated with the Faculty of Computer and Information Science at the University of Ljubljana, where he teaches Artificial Intelligence, Machine Learning, and Programming courses while serving as a Laboratory Member in the Artificial Intelligence Laboratory (Laboratorij LUI). His research focuses on applied artificial intelligence with emphasis on: Deep reinforcement learning for real-time optimization (e.g., low-voltage power grid management) Intelligent tutoring systems and qualitative modeling from data Medical applications including Parkinson's disease detection and lung cancer prognostics Multi-agent systems with incremental learning capabilities Current research includes the ARRS-funded DRIFT project (L2-4436, 2022-2025) on power distribution optimization. Past projects span European initiatives like X-MEDIA and XPERO, Slovenian ARRS programs (2009-2020), and Structural Funds projects for dyslexia screening (PKP6) and Parkinson's monitoring (PARKINSCHECK). As an active laboratory member, he contributes to AI systems development across domains from medical diagnostics to cultural heritage platforms, with recent work including smartphone ECG applications and knowledge-sharing frameworks.

Klen Čopič Puciharمشاهده پروفایل

دانشیار

• Augmented Reality
• Mixed Reality
• Virtual Reality
• +۷ مورد دیگر

Dr. Klen Čopič Pucihar serves as Associate Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He holds multiple leadership roles including Department Chair of Information Sciences and Technologies, Deputy Chair of HICUP Lab, and Study Programme Coordinator for the Doctoral Computer Science program. His research centers on Human-Computer Interaction with particular emphasis on: Augmented, Mixed, and Virtual Reality systems Micro-gesture recognition using radar sensing (e.g., Google Soli) Paper interfaces and augmentation of physical media AR for educational applications, particularly vocabulary learning Addressing the 'dual-view problem' in handheld AR systems Dr. Čopič Pucihar's work is driven by the vision to 'unclog the bottleneck' between humans and digital information. His recent publications (2019-2025) show a strong trajectory from theoretical interaction techniques toward practical educational applications and novel input methods using radar sensing, with consistent output in top venues including CHI, ISS, MobileHCI, and ISMAR. His notable achievements include: Best Paper Award at ACM IUI 2025 Honorable Mentions at ACM EICS 2022 and ACM ISS 2022 Best Poster Award at ISMAR Multiple hackathon victories including at Columbia University As Study Programme Coordinator for Doctoral Computer Science, Dr. Čopič Pucihar mentors graduate students and shapes research directions. His HICUP Lab hosts an international research group focused on making digital interfaces more intuitive and effective for human use through advanced sensing methods and personalized services. HICUP Lab leverages techniques from data mining, machine learning, computer vision, and human perception to develop interfaces that function as extensions of human minds, bodies, and behavior, with the ultimate goal of enabling 'digital augmentation of human abilities to its fullest potential.'

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +۸ مورد دیگر

Dr. Tomaž Pisanski serves as Full Professor and Department Chair of the Department of Information Sciences and Technologies at the University of Primorska in Koper, Slovenia. His academic leadership spans theoretical and applied research across multiple mathematical disciplines. His primary research domains include: Graph Theory and Combinatorics Discrete and Computational Mathematics Chemical Graph Theory applications Computational Genealogy and Heraldry Operations Research and Optimization Theoretical Computer Science foundations Professor Pisanski maintains active teaching responsibilities while directing departmental operations from his office at Kettejeva 1, Cabinet I/01. His contact email tomaz.pisanski@upr.si serves as the primary channel for academic inquiries and collaboration opportunities.

• Mathematics
• Algebra
• Group Theory

Milad Ahanjideh serves as an Assistant Professor in the Department of Mathematics at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, where he also holds the administrative roles of Department Chair and Coordinator. His academic responsibilities span teaching, research, and departmental leadership within Slovenia's higher education system. His research specializes in pure mathematics with concentrated expertise in algebraic structures, particularly permutation group theory as evidenced by his course instruction in Permutational Groups. This focus represents a core discipline within abstract algebra with significant applications in combinatorics, symmetry analysis, and computational mathematics. Dr. Ahanjideh maintains active academic engagement through his primary institutional affiliation at the University of Primorska. While specific details about research funding or collaborative networks aren't documented in available sources, his dual role as faculty member and departmental administrator indicates substantial involvement in both scholarly and operational aspects of the mathematics department.

• Computer Science
• Data Science
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Miklos Kresz serves as a Full Professor and Department Chair at the Department of Information Sciences and Technologies within the Faculty of Mathematics, Natural Sciences and Information Technologies at the University of Primorska, where he also coordinates academic programs and teaches advanced graduate courses. His research portfolio demonstrates deep expertise across multiple computing disciplines: Core Computer Science and Theoretical Foundations Data Science and Artificial Intelligence Systems Internet of Things implementation in built environments Advanced Data Mining and Computational Modeling Interdisciplinary applications in sustainable built environments Professor Kresz bridges theoretical computer science with practical technological solutions for real-world challenges, particularly in smart infrastructure and sustainable development contexts.

• Computer Science
• Software Engineering
• Artificial Intelligence

Bojan Tičar is a Professor at the University of Maribor. His research interests include computer science and software engineering.

• Business Process Management
• Digital Transformation
• Multi-Project Management
• +۳ مورد دیگر

Tomaž Kern serves as Full Professor at the Faculty of Organizational Sciences, University of Maribor, where he has maintained continuous full-time employment since 1990. His current leadership roles include Head of the Business Systems Engineering programme and Director of the Laboratory of Enterprise Engineering (LIPPS), while also contributing to university governance as Senate member. His academic credentials feature a tripartite foundation: Bachelor's degree in Mechanical Engineering Master's degree in Computer Science PhD in Organisation Science Professor Kern's research establishes critical connections between Business Process Management , Digital Transformation , and Multi-Project Management methodologies. His work uniquely synthesizes engineering principles with organizational theory to develop implementable enterprise solutions, particularly valuable for industrial adoption. With over 500 publications and extensive industry project leadership, his scholarly output demonstrates consistent focus on BPM frameworks and digital transformation strategies. He actively translates research into practice through industry collaborations and as founding member of the Slovenian PMI Association. The Laboratory of Enterprise Engineering (LIPPS) operates as his primary research vehicle, driving innovation in enterprise architecture and business process optimization while maintaining strong industry partnerships across Slovenia's public and private sectors.

• Computer Science
• Information Systems
• Data Science
• +۲ مورد دیگر

Mirjana Kljajić Borštnar serves as a Full Professor at the Department of Informatics, University of Maribor, actively engaged in academic instruction and research within the informatics discipline. Her research spans foundational and applied domains of computing, with primary focus areas including: Computer Science Information Systems Data Science Software Engineering Artificial Intelligence Professor Kljajić Borštnar maintains structured accessibility for academic engagement through weekly office hours every Wednesday at 11:00, requiring mandatory pre-registration via email. Direct professional contact is available through her institutional email mirjana.kljajic@um.si or university telephone line +386 (0)4 23 74 236 415.

• Artificial Intelligence
• Biomedical Engineering
• Medical Imaging
• +۳ مورد دیگر

Borut Werber serves as an Associate Professor at the Department of Informatics, University of Maribor, Slovenia, where he has maintained continuous academic affiliation since 2001. His professional profile combines rigorous academic work with external quality assessment roles through NAKVIS and EFQM. His educational foundation includes: Bachelor's degree in Organisation of Information Work (1990) Master of Science in Organising Information Systems (1994) PhD (2000) Professor Werber's research operates at the critical intersection of computer science and medical technology. His dual focus on subcutaneous microchips explores implantable device applications for medical monitoring and identification systems, while his AI skin cancer detection research develops machine learning algorithms for dermatological diagnostics. These complementary domains demonstrate his commitment to leveraging computational methods for tangible healthcare advancements, particularly in early disease detection and patient monitoring solutions. His external professional engagements as an assessor for national and European research evaluation bodies highlight his recognized expertise in academic quality assurance. The inclusion of his PADI diving instructor certification reveals a distinctive balance between technological innovation and practical skill development in unrelated domains.

• Computer Science
• Information Science

Rupnik Bojan is a professor at the University of Ljubljana, Faculty of Computer and Information Science. His research interests include computer science and information science. He can be contacted at bojan.rupnik@um.si.

Žiga Unukمشاهده پروفایل

دانشیار

• Structural Engineering
• Timber Structures
• Concrete Technology
• +۴ مورد دیگر

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