جست‌وجوی استاد و پژوهشگر

Zoran Bosnićمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Recommender Systems
• +۷ مورد دیگر

Zoran Bosnić is a Full Professor at the Artificial Intelligence Department, Faculty of Computer and Information Science, University of Ljubljana. He specializes in integrating advanced statistical methods with practical applications including data stream mining, recommender systems, user behavior profiling, e-learning systems, and computer communications. B.Sc. (2001), M.Sc. (2003), and Ph.D. (2007) from Faculty of Computer and Information Science, University of Ljubljana, Slovenia His research focuses on computationally intensive methods for statistical analysis, inductive learning from partially labeled datasets, and AI applications in medical domains. He has contributed to projects involving quantum advantage in reservoir computing and cross-lingual embeddings for European news media. 2012 Certificate of Honor for young university teachers 2019 Gold Medal of the University of Ljubljana He is a member of the Laboratory for Machine Learning and Language Technologies and actively participates in both national (ARRS) and international projects (European, bilateral collaborations).

Miha Mrazمشاهده پروفایل

استاد

• Computational Biology
• Systems Biology
• Ubiquitous Computing
• +۵ مورد دیگر

Miha Mraz serves as a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he teaches Computer Networks, Computer Systems Reliability, Unconventional Information Processing, and Computational Biology courses from office R3.59. His research spans Computational Biology (gene regulatory networks, circadian biology), Ubiquitous Computing , and Unconventional Computing (Quantum-dot Cellular Automata, fuzzy logic systems). He employs stochastic simulations, genetic algorithms, and multi-valued logic to model biological processes and optimize logistical systems. Analysis of his 2005-2015 publications reveals consistent interdisciplinary work at the computer science-biology interface, particularly in computational modeling of biological networks and novel computing architectures. Key themes include information processing in gene networks and quantum-dot cellular automata design for multi-valued logic systems. Professor Mraz leads current ARRS projects including hypoxia-cholesterol synthesis research (J1-50024, 2023-2026) and Ubiquitous Computing (P2-0359, 2023-2027), alongside past European initiatives like RFID F2F. As a core member of the Computer Structures and Systems Laboratory, he focuses on computer architecture reliability and unconventional computing platforms despite no listed advisees in available materials.

Miha Janežمشاهده پروفایل

استادیار

• Quantum computing
• Wireless sensor networks
• Data analysis in large networks
• +۶ مورد دیگر

Miha Janež serves as an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he contributes to both academic instruction and research innovation within Slovenia's premier computer science institution. His educational foundation includes a 2012 PhD in Computer Science from the University of Ljubljana, focusing on circuit layout design for quantum computing applications. Research interests span quantum computing architectures, wireless sensor network design with accessible hardware, and large-scale network data analytics, extended into pervasive computing systems, medical image compression techniques, and sustainable urban development through integrated data frameworks. This interdisciplinary approach connects hardware-level innovations with real-world societal challenges. Publication trends reveal an evolution from foundational quantum hardware research (2012) toward contemporary applications in mobile network analytics (2020) and urban sustainability modeling (2021), demonstrating consistent relevance across computing subfields while maintaining core expertise in unconventional information processing. As an active member of the Computer Structures and Systems Laboratory, he bridges theoretical research with practical implementation. His teaching portfolio includes critical infrastructure courses: Computer Systems Architecture, Computer Networks, Wireless Sensor Networks, and Unconventional Information Processing Methods. Project leadership encompasses significant ARRS-funded initiatives: the Pervasive Computing research programme (2013-2017), Medical Images Compression bilateral project (2010-2011), agency data utilization study (2017-2018), and the neighborhood sustainability assessment system J5-1798 (2019-2022), reflecting sustained research productivity across diverse funding mechanisms.

Iztok Lebar Bajecمشاهده پروفایل

دانشیار

• Computer Graphics
• Artificial Life Modeling
• Fuzzy Logic
• +۶ مورد دیگر

Iztok Lebar Bajec is an Associate Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he has been actively engaged in research and teaching since completing his PhD in 2005. His academic journey began with a Computer Science Programme at the Technical School Centre in Nova Gorica (1994), followed by undergraduate, master's, and doctoral studies at the University of Ljubljana. His research spans multiple interdisciplinary fields including computer graphics, fuzzy logic applications, quantum-dot cellular automata, and artificial life modeling. Professor Lebar Bajec's work uniquely bridges computer science with biological modeling, particularly in simulating collective animal behavior. His PhD dissertation focused on fuzzy logic modeling of bird flocking behavior, which has evolved into a significant research trajectory examining organized group dynamics in both biological and artificial systems. His recent publications reveal a dual research focus: on one hand, the application of fuzzy logic to model collective behavior in biological systems (particularly bird flocking and predator-prey interactions), and on the other hand, pioneering work in quantum-dot cellular automata for ternary computing systems. This unusual combination of research areas demonstrates his innovative approach to computational modeling across vastly different scales - from biological collectives to nanoscale computing elements. 3rd place at the 10th student paper competition, ERK'2000, Portorose, Slovenia (2000) Best high school graduate of the Technical School Centre in Nova Gorica, Slovenia (1994) Runner-up at the 17th Young Innovator Competition, Nova Gorica, Slovenia (1993) Professor Lebar Bajec has advised multiple graduate students including Jure Demšar (PhD), Miha Moškon (BSc), Primož Pečar (MSc), and Tomaž Orač (BSc). His current research is supported by several active projects including P2-0359 - Ubiquitous computing (2023-2027), J7-4642 - Fundamental research for development of speech resources and technologies for Slovenian (2022-2025), and PoVeJMo - Adaptive Natural Language Processing with Large Language Models (2023-2026). He is a member of the Computer Structures and Systems Laboratory where he has been active since 2000.

Marko Topičمشاهده پروفایل

استاد

• Photovoltaics
• Solar Energy
• Semiconductor Devices
• +۳ مورد دیگر

Dr. Marko Topič is a Full Professor and Dean of the Faculty of Electrical Engineering at the University of Ljubljana, specializing in photovoltaics and optoelectronics. A recipient of the European Becquerel Prize and Slovenia's highest scientific honor (Zois Award), he leads research advancing solar energy technologies and quantum photonic systems. Education: PhD in Electrical Engineering (University of Ljubljana, 1996) Leadership: Chairman of European Technology and Innovation Platform Photovoltaics (2014-2022); Slovenian representative in European Science Advisors Forum Research Impact: 200+ SCI publications, 13,000+ citations, supervision of 16 doctoral dissertations. Current work focuses on high-efficiency solar cells and quantum photonic integration. Major Awards: European Becquerel Prize (2022) Zois Award (2008) Gold Plaquette of University of Ljubljana (2017)

Damir Franetičمشاهده پروفایل

استادیار

• Mathematics
• Computer Science
• Algebra
• +۳ مورد دیگر

Damir Franetič serves as an Assistant Professor at the Faculty of Computer and Information Science, actively teaching core courses including Discrete Structures, Linear Algebra, Mathematical Modelling, Mathematics 1, and Topological Data Analysis. He is a permanent member of the Laboratory for Mathematical Methods in Computer and Information Science, holding office in Room R3.26. His research spans foundational Mathematics and Computer Science, with specialized focus on Algebraic Structures, Topological Data Analysis, and Quantum Groups. This is evidenced by his leadership in computational approaches to quantum group representations, leveraging Linear Algebra techniques for theoretical modeling in information science contexts. He led the bilateral research project Representations of Quantum Groups via Computational Linear Algebra from January 1, 2016, to December 31, 2017, demonstrating sustained engagement in funded theoretical research. No doctoral students or formal advisees are documented in current institutional records. His laboratory affiliation centers on the Laboratory for Mathematical Methods in Computer and Information Science, where he contributes to interdisciplinary research bridging abstract algebra and computational methodologies for complex data systems.

Matej Vitekمشاهده پروفایل

پژوهشگر

• Computer Vision
• Biometrics
• Artificial Intelligence
• +۵ مورد دیگر

Matej Vitek is an Assistant and researcher at the Faculty of Computer and Information Science, University of Ljubljana, where he is a core member of the Computer Vision Laboratory (CVL). His work centers on advancing biometric security through innovative computer vision techniques, with primary focus on lightweight sclera recognition systems. His academic journey includes: BSc in Computer Science and Informatics and Mathematics and Physics (2015), University of Ljubljana MSc in Computer Science and Informatics and Mathematics and Physics (2018), University of Ljubljana PhD in Computer and Information Science (2024), University of Ljubljana Vitek's research expertise spans computer vision, biometrics, and deep learning, with specialized focus on sclera recognition. His methodology emphasizes developing computationally efficient models suitable for mobile deployment while addressing critical challenges like model bias and segmentation accuracy. Past explorations include quantum computing circuits and game development, demonstrating interdisciplinary versatility. Current work integrates anomaly detection for deepfake identification and explainable AI frameworks for biometric systems. Publication trends reveal consistent advancement in sclera biometrics through large-scale collaborative efforts, including benchmarking competitions and novel dataset creation. His work demonstrates progression from foundational segmentation studies toward optimized lightweight architectures and bias mitigation strategies, reflecting the field's evolution toward practical, ethical deployment. Vitek actively contributes to two major ARRS-funded projects: J2-50065 'DeepFake DAD' (2023-2026) developing anomaly detection methods for deepfake identification, and J2-50069 'MIXBAI' (2023-2026) creating interpretable mechanisms for explainable biometric AI. Previously, he participated in the P2-0214 Computer Vision research program (2019-2024) and consulting initiatives. As a CVL laboratory member, he collaborates within a specialized biometrics team led by Prof. Peter Peer (supervisor) and Prof. Vitomir Štruc (co-supervisor), working alongside researchers Peter Rot, Žiga Emeršič, and Blaž Meden. His technical environment combines academic research with practical implementation challenges in resource-constrained settings.

Bojan Žunkovičمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Quantum Computing
• +۳ مورد دیگر

Bojan Žunkovič serves as an Assistant Professor at the University of Ljubljana, Faculty of Computer and Information Science, where he is affiliated with the Laboratory for Machine Learning and Language Technologies. His teaching portfolio includes Machine Learning, Algorithms and Data Structures 1, Topical Research Themes 2, and Selected Topics in Artificial Intelligence 2. His research spans critical domains in computational science: Machine Learning Artificial Intelligence Quantum Computing Natural Language Processing Tensor Networks Reservoir Computing Current investigations focus on quantum-classical machine learning integration, particularly through tensor network methodologies and NISQ-era quantum advantage exploration in reservoir computing systems. Dr. Žunkovič leads the ARRS-funded project J2-60034 (2025-2027) titled "Practical quantum advantage of reservoir computing on NISQ devices" and previously directed project J1-2480 (2020-2023) on "From classical to quantum machine learning through tensor networks". Based in laboratory room R2.26, he contributes to the Laboratory for Machine Learning and Language Technologies' mission of advancing AI and computational linguistics research through both theoretical frameworks and practical implementations.

Aleksandar Jurišićمشاهده پروفایل

استاد

• Algebraic Combinatorics
• Cryptography
• Algorithmic Number Theory
• +۴ مورد دیگر

Aleksandar Jurišić is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he serves as Head of the Laboratory for Cryptography and Computer Security. He also maintains an affiliation with the Institute of Mathematics, Physics and Mechanics (IMFM) in Ljubljana and occasionally teaches at the Faculty of Mathematics. His educational background includes: B.A. from University of Ljubljana (1987), working under Joze Vrabec on topology applications in combinatorics M.Sc. (1990) and Ph.D. (1995) from University of Waterloo, working under Chris Godsil in algebraic combinatorics Jurišić's research interests focus on Algebraic Combinatorics, Cryptography, and Algorithmic Number Theory . His work bridges theoretical mathematics with practical security applications, particularly in elliptic curve cryptography and finite field implementations. He has made notable contributions to understanding mathematical phenomena like the Mercedes knot problem, which connects everyday observations with advanced mathematical concepts. His publications demonstrate a consistent focus on cryptographic implementations, particularly for resource-constrained environments like smart cards. His research spans theoretical mathematics (knot theory, combinatorics) to applied cryptography, showing how abstract mathematical concepts can solve practical security problems. Among his scientific recognitions , he received the Hasse Prize for his paper 'The Mercedes knot problem' published in American Mathematical Monthly. In 2005, he co-founded the Slovenian Society of Cryptology, demonstrating leadership in establishing cryptography as a field in Slovenia. As an educator and mentor , Jurišić has supervised over 25 diploma theses, 4 master's theses, and 1 PhD dissertation. His courses include Probability and Statistics, Cryptography and Computer Security, and Introduction to Probability and Statistics. He has led numerous educational projects focused on e-content development for mathematics and cryptography education. He leads the Laboratory for Cryptography and Computer Security , which has been involved in multiple Structural Funds projects including PKP series (e-content in education), NA-MA POTI (mathematical literacy), and ŠIPK 1 (Cryptogram - a portal for cryptography and computer security).

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.