جستجوی استاد راهنمای دانشگاهی

Sašo Džeroski is a Professor at the Department of Knowledge Technologies, Jožef Stefan International Postgraduate School, and a Scientific Councillor at the Jožef Stefan Institute in Slovenia. He leads a research group of ~17 members, focusing on constraint-based data mining, structured output prediction, and automated modeling of dynamic systems, with applications in systems biology, ecology, and environmental sciences. His research interests span data mining, machine learning, computational scientific discovery, and their applications in life sciences and medicine. He has coordinated major projects like MAESTRA (FP7) and LANDMARK (H2020), and contributed to EU initiatives in systems biology ( E.E.T. Pipeline , PHAGOSYS ). He developed methodologies for predictive clustering trees and hierarchical multi-label classification, with software tools ProBMoT and CLUS . The 15 most recent articles highlight his work on ensemble learning for multi-output systems, structured output prediction in medical imaging, ecological modeling using machine learning, and ontologies for data mining. These publications reflect interdisciplinary trends combining computational methods with applications in fungal biology, endocytosis, and agricultural drainage. Scientific Awards: Foreign Member, Macedonian Academy of Sciences and Arts Advising includes mentoring PhD students (e.g., Nikola Simidjievski, Jovan Tanevski) and MSc students. Grants and projects emphasize EU funding (H2020, FP7) and national initiatives in knowledge technologies. He has served on editorial boards of journals like Machine Learning and Ecological Informatics , and organized key conferences (e.g., ECML PKDD-2015 ).

• Machine Learning
• Data Mining
• Computational Scientific Discovery
• +۷ مورد دیگر

Sergio Cabello is a full professor at the Faculty of Mathematics and Physics of the University of Ljubljana, Slovenia, and a researcher at the Institute of Mathematics, Physics and Mechanics. His research focuses on discrete algorithms and computational geometry, with contributions to graph theory, geometric optimization, and algorithm design. He has held editorial roles in journals such as the Journal of Combinatorial Mathematics and Combinatorial Computing, and has participated in numerous conferences as a PC member or invited speaker. His work spans topics like shortest paths in geometric graphs, convex hulls, and algorithmic complexity. Notable recent activities include organizing the Indo-Spanish School of Algorithms and Combinatorics (2025) and serving on the editorial boards of Discrete Mathematics & Theoretical Computer Science and the Journal of Computational Geometry. He has also received best paper awards at SODA 2017 and AGILE 2009 for his contributions to theoretical computer science. Editorial Roles: Journal of Combinatorial Mathematics, Discrete Mathematics & Theoretical Computer Science, Indian Journal of Discrete Mathematics Professional Activities: PC member for EuroCG 2025, WADS steering committee member, invited speaker at GROW 2022 and Discrete Mathematics Days 2024 His research interests include geometric algorithms, graph connectivity, and combinatorial optimization, with a focus on theoretical foundations and algorithmic applications in discrete structures.

• Discrete Algorithms
• Computational Geometry
• Combinatorial Optimization
• +۳ مورد دیگر

Marta Licardo is an Associate Professor in the Department of Preschool Education at the University of Maribor's Faculty of Education. Her research spans early childhood education, social sciences didactics, pedagogy, and inclusive education. She coordinates international projects like the Erasmus+ 'Algorithmic thinking skills through play-based learning' and 'Learning by doing – attainment of basic competences in ECE'. Her publications focus on immigrant education and teacher competencies. Awards include the Excellent in Science Award (2016) .

• Early Childhood Education
• Didactic of Social Sciences
• Pedagogy
• +۱ مورد دیگر

Nejc Ilc serves as an Assistant Professor at the University of Ljubljana's Faculty of Computer and Information Science, where he has been employed since 2009 and teaches process automation and digital design courses. He earned his PhD in Computer and Information Science from the same institution in 2016 following undergraduate studies completed in 2009. His academic credentials include: PhD in Computer and Information Science, University of Ljubljana (2016) BSc in Computer and Information Science, University of Ljubljana (2009) Dr. Ilc's research spans machine learning with emphasis on cluster analysis algorithms, bioinformatics applications in inflammation modeling, computer simulation techniques, and parallel processing implementations. His machine learning work develops novel ensemble methods and validity indices, while bioinformatics research explores lipid mediator pathways in extracellular vesicles. Parallel computing applications appear in real-time computer vision systems for traffic sign recognition. Analysis of his 2012-2020 publications reveals persistent focus on clustering methodologies across data mining and biomedical contexts, with increasing interdisciplinary collaboration in bioinformatics after 2015. His work consistently bridges theoretical algorithm development with practical implementations in simulation environments. His recognition includes: Faculty award for assistants with best student evaluations (2020/2021) Current research leadership includes the ARRS program P2-0241 "Synergy of technological systems and processes" (2020-2026) and EUROCC2 competence center project (2023-2025). Past projects involved bilateral collaborations on complex dynamic systems modeling (2010-2011) and approximate computing (2019-2021). He organized the ICANNGA 2011 international conference and maintains office hours Tuesdays 13:00-14:00 in Room R2.31. While specific laboratory affiliations aren't detailed, his project involvement suggests computational research activities within the Faculty of Computer and Information Science.

• Machine Learning
• Cluster Analysis
• Bioinformatics
• +۲ مورد دیگر

Peter Rot is a researcher at the Faculty of Computer and Information Science , University of Ljubljana, specializing in Computer Vision and Biometrics . He is affiliated with the Computer Vision Laboratory (LRV) and has contributed to privacy-enhancing technologies in biometric systems. Education: Master of Computer Science and Informatics (University of Ljubljana, 2018) with thesis on "Deep Learning Methods for Biometric Recognition Based on Eye Information" Research Focus: His work addresses soft-biometric privacy , deepfake localization , and ocular biometrics , combining deep learning and generative models to protect facial attributes while maintaining recognition accuracy. Notable projects include FaceGEN (ARRS J2-1734) and DeepBeauty (ARRS J2-2501). Publications & Trends: Recent work explores privacy-preserving face analytics , interpretable biometric templates , and gender privacy through disentangled representations . Earlier studies focused on sclera segmentation and periocular recognition . Scientific Awards: European Association for Biometrics Biometric Research Award 2024 EAB Best Presentation Award 2024 University Prešernova Award 2018 Sclera Segmentation Competition Winner 2018 Sclera Segmentation and Eye Recognition Competition Winner 2017 Projects: Currently leads the MIXBAI project (ARRS J2-50069) on explainable biometric AI (2023-2026). Past projects include FaceGEN (2019-2022) for face de-identification and DeepBeauty (2020-2023) for generative models in fashion/beauty industries.

• Computer Vision
• Biometrics
• Deep Learning
• +۶ مورد دیگر

Boštjan Slivnik is an Assistant Professor specializing in compilers and grid technology , with a focus on parser algorithms and distributed systems. His research extends to domain-specific languages, big data optimization, and medical informatics applications. Program Committee member of ACM Symposium on Applied Computing (2007, 2008) Laboratory of Algorithmics member He teaches courses including Compilers , Compilers and Virtual Machines , and Programming 2 . His work involves projects like ARRS research programs on parallel systems and KATARINA's computational knowledge dissemination initiatives.

• Compilers
• Grid Technology
• Parallel Systems
• +۷ مورد دیگر

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.

• Computer Architecture
• Parallel Processing
• Computer Arithmetic
• +۵ 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.

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

Uroš Lotrič is an Associate Professor at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia. His academic and professional work spans research in soft computing methods, distributed processing, and high-performance computing applications. Education: BSc in Physics (1994), MSc in Computer Science (1997), PhD in Computer Science (2000), all from the University of Ljubljana. Research Interests He focuses on soft computing techniques, distributed systems, and their applications in industrial and computational domains. His work integrates neural networks, wavelet transforms, and predictive modeling to solve complex problems in fields like rubber processing and time series analysis. Scientific Awards Best Assistant 2007 Best Professor 2009 Projects and Laboratory He is involved in national and European research programs such as P2-0241, EUMaster4HPC, and ARISA. Additionally, he is a member of the Adaptive Systems and Parallel Processing laboratory, contributing to advancements in adaptive algorithms and parallel computing.

• Soft Computing
• Distributed Processing
• High Performance Computing

Miha Moškon is a Full Professor at the University of Ljubljana, Faculty of Computer and Information Science, with a focus on computational models for biological systems in systems biology and systems medicine. His research includes context-specific genome-scale metabolic modeling, Boolean gene regulatory networks, and machine learning for complex datasets. Education: BSc (2007) and PhD (2012) in Computer Science from the University of Ljubljana. Research Interests: Synthetic biology, fuzzy logic, optimization, and computational design of biological systems, with applications in metabolic diseases and urban sustainability. Teaching: Courses in Computational Biology, Digital Logic Design, and Digital Circuits, alongside leading lab practices. Projects: Principal Investigator for ARRS J5-1798 (2019-2022), contributor to TranSYS H2020-MSCA-ITN (2019-2022), and coordinator for multiple Structural Funds projects. Scientific Awards: Coauthor of top research achievements (2022, 2017), Zois scholarship (1998-2008), iGEM prizes (2010, 2012, 2016), Prešeren's award (2007), and Dean's awards (2005, 2006). Editorial Roles: Member of the editorial boards for Scientific Reports , Neural Computing and Applications , and BMC Bioinformatics .

• Systems Biology
• Systems Medicine
• Synthetic Biology
• +۶ مورد دیگر

Jurij Mihelič is an Associate Professor at the Faculty of Computer and Information Science, University of Ljubljana, and a member of the Laboratory for Algorithms and Data Structures where he conducts research in theoretical and applied computer science. His research interests include: Algorithms and discrete mathematics Combinatorial optimization Computational complexity Operating systems and system software Virtual machines and execution environments Algorithm engineering and experimental algorithmics Graph theory and network analysis Facility location and pattern matching Mihelič teaches courses in Operating Systems and Algorithms and Data Structures I. His research bridges theoretical computer science with practical applications, with a particular focus on developing efficient algorithms and system software solutions. His work spans both theoretical foundations and practical implementations, demonstrating a strong commitment to connecting academic research with real-world problems. His publications demonstrate consistent contributions to algorithm design, graph theory, and combinatorial optimization, showing a progression from purely theoretical work toward more applied research in recent years. Key themes include facility location problems, subgraph isomorphism algorithms, and educational tools for system software concepts. Mihelič has been actively involved in the academic community, serving on organizing committees for significant conferences including EuroCG 2015, LADS3 2014, and ALGO 2012. He is currently involved in multiple research projects, most notably the ARRS research program 'Parallel and distributed systems' (2020-2026), along with several other projects focused on graph optimization, big data, and system software development.

• Algorithms
• Discrete Mathematics
• Combinatorial Optimization
• +۸ مورد دیگر

Luka Šajn is an Assistant Professor at the University of Ljubljana , affiliated with the Computer Vision Laboratory . His work bridges computer science , machine learning , and medical imaging , focusing on automated analysis of medical data. Academic Rank: Assistant Professor University: University of Ljubljana Laboratory: Computer Vision Laboratory Šajn's research centers on multi-resolution pattern parametrization and its applications in medical diagnostics. His projects include automated segmentation of whole-body bone scintigrams , detection of white spot lesions in dentistry, and 3D documentation of cultural heritage using computer vision. Šajn's publications (2005–2020) span texture classification , image segmentation , and medical AI . Key subfields include dental diagnostics , coronary disease analysis , mobile vision systems , and ultra-wideband trajectory modeling .

• Medical Image Analysis
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Damjan Vavpotič is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana, and serves as Vice-Dean and Head of the Information Systems Laboratory. His career spans academic research, leadership roles, and applied projects in software development methodologies, information systems, and interdisciplinary fields. Research Focus: Software development methodologies, agile practices, information security, and e-learning systems Leadership: Vice-Dean, Head of Information Systems Laboratory Key Projects: GETM4 (2023-2027), Digital Transformation for Smart Public Governance (P2-0426, 2022-2027) Scientific Contributions: His recent work explores agile estimation accuracy, information security training, software process evaluation, and interdisciplinary applications in health and tourism analytics. Articles span 2018-2024, reflecting sustained impact across multiple domains. Awards: Thea Sinclair Award (2019), TTRA Europe Best Paper (2018), ISD Conference Best Paper (2013)

• Software Development Methodologies
• Agile Methodologies
• Information Systems
• +۳ مورد دیگر

Ademir Hujdurović is a Full Professor and Dean of the Faculty of Mathematics, Natural Sciences and Information Technologies at the University of Primorska in Slovenia. His academic career spans over a decade at the university, progressing from PhD student to his current leadership position. He maintains strong affiliations with the international mathematics community through editorial work and conference organization. Dr. Hujdurović earned his PhD in mathematics in 2013 at the University of Primorska under Professors Dragan Marušič and Klavdija Kutnar. His academic journey began with exceptional performance at the University of Tuzla, where he received the Gold Plaque for Best Student of the Generation with a perfect 10.00 average in 2009. His research focuses on graph theory, particularly the properties and characterization of symmetric graphs. His extensive publication record demonstrates deep expertise in algebraic graph theory, with emphasis on vertex-transitive graphs, circulant graphs, and the relationship between graph theory and group theory. His work bridges pure mathematics with applications in computational biology, particularly in phylogenetics and cancer genomics. The publication trends show consistent output in top combinatorics journals with increasing international collaboration. Dr. Hujdurović has received significant recognition for his contributions: Kalman Visiting Fellowship, University of Auckland, New Zealand (2024) Scientific Excellence Award (Best Researcher of the Year), University of Primorska (2019) Gold Plaque for Best Student of the Generation, University of Tuzla (2009) As an academic leader, he serves as Managing Editor of Ars Mathematica Contemporanea and Editorial Board Member of The Art of Discrete and Applied Mathematics. He actively mentors students, currently advertising a PhD position in algebraic graph theory for October 2025. His teaching portfolio includes advanced courses in Algebra, Abstract Algebra, and Algebraic Theory of Graphs. He has been instrumental in organizing the annual PhD Summer School in Discrete Mathematics since 2013 and major events like the 8th European Congress of Mathematics (2021). Dr. Hujdurović leads a vibrant research group focused on algebraic graph theory and regularly collaborates with international researchers. His leadership in organizing the "Groups, Graphs, and Everything in Between" conference dedicated to Dragan Marušič's 70th birthday (2023) highlights his standing in the international graph theory community.

• Graph Theory
• Algebra
• Discrete Mathematics
• +۴ مورد دیگر

Professor Nada Lavrač is a leading researcher at the Jožef Stefan Institute and Full Professor at the University of Nova Gorica , Slovenia. With over 40 years of experience in machine learning and data mining, she has made groundbreaking contributions to inductive logic programming, computational creativity, and biomedical data analysis. Her work spans applications in medicine, public health, bioinformatics, and industrial systems, with a focus on explainable AI and knowledge discovery. Head of ICT Programme at Jozef Stefan International Postgraduate School Principal researcher in EU projects H2020 FNS-Cloud and EMBEDDIA Author of 163-page monograph Representation Learning: Propositionalization and Embeddings (Springer, 2021) Research highlights include developing neuro-symbolic AI frameworks for conference scheduling, creating ontology-driven graph-based learning systems, and pioneering feature selection methods for high-dimensional biomedical datasets. Her work on tax2vec for taxonomy-based text classification has transformed short text analysis approaches. She has also led advancements in grapevine disease modeling using multi-omics data integration. Scientific accolades: 1984 national research excellence prize , 1997 Ambassador of Science of Slovenia , ECCAI Fellow (2007) , and Zois Recognition Award (2013) . Her citation metrics include 16,141 Google Scholar citations (h=54) and 4,622 WoS citations (h=31).

• machine learning
• data mining
• inductive logic programming
• +۵ مورد دیگر