جستجوی استاد راهنمای دانشگاهی

Damjan Fujsمشاهده پروفایل

استادیار

• Information Security
• Requirements Engineering
• Information Systems Development Methodologies
• +۶ مورد دیگر

Dr. Damjan Fujs is an Assistant Professor at the Faculty of Computer and Information Science , University of Ljubljana, specializing in information security , requirements engineering , and interdisciplinary cybersecurity research . He is affiliated with the Information Systems Laboratory and contributes to projects like Digital Transformation for Smart Public Governance (P2-0426) and Secure use of smart devices among the elderly (J5-3111) . Current research focuses on human aspects of cybersecurity and user-centric security solutions . Active in academic service as a reviewer for journals like Information Sciences and program committee member for conferences such as European Interdisciplinary Cybersecurity Conference . Recent publications highlight his work in cybersecurity education for elderly users , security requirements engineering , and user behavior analysis . His projects integrate technical and human factors to prevent cybercrime through education. Awards include Pomurje Research Award (2025) , World Federation of Scientists Scholarship (2023-2024) , and multiple recognitions for pedagogical excellence (2020-2023). Scientific Awards Pomurje Research Award for best doctoral dissertation (2025) World Federation of Scientists Scholarship (2023-2024) Young University Teachers and Researchers Award (2023) Outstanding Research Achievement Award (2022) Excellent Pedagogical Work Awards (2020, 2022) Teaching Assistant of the Year (2020, 2022, 2023)

Sašo Živanovićمشاهده پروفایل

استادیار

• Semantics
• Quantification
• Phonology
• +۴ مورد دیگر

Sašo Živanović is an Assistant Professor at the Department of Comparative and General Linguistics, Faculty of Arts, University of Ljubljana. He holds a PhD in General Linguistics (2007) and a Diploma in Theoretical Mathematics (2002), and has been continuously employed at the university since 2007. His educational background reflects an interdisciplinary approach, combining mathematical rigor with linguistic theory. This foundation supports his research at the intersection of formal linguistics and computational methods. Živanović's research spans theoretical linguistics with particular emphasis on semantics (especially quantification), phonology, and syntax. His work demonstrates a consistent focus on the formal properties of language structure, with publications ranging from theoretical explorations of logical form to practical applications in linguistic documentation. His recent work shows increasing integration of computational approaches, particularly through his development of specialized LaTeX packages for linguistic research. Analysis of his publication record reveals a dual trajectory: theoretical contributions to linguistic theory (particularly in Slavic languages) and practical tools for linguistic documentation and analysis. His most recent publications demonstrate growing interest in computational linguistics and the development of specialized software tools for linguistic research. Živanović maintains an active presence in both academic and open-source communities, with significant contributions to the LaTeX ecosystem through packages like Memoize, Forest, and SignDraw that address specific needs in linguistic research and publication. As an educator, he teaches courses including Phonetics and Phonology, Linguistic Typology, Modern Linguistic Theories, and LaTeX for Linguists, demonstrating his commitment to equipping students with both theoretical knowledge and practical technical skills essential for contemporary linguistic research.

• Decision Support Systems
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Martin Žnidaršič serves as a Senior Research Associate at the Department of Knowledge Technologies, Jožef Stefan Institute, and holds an Assistant Professor position at the Jožef Stefan International Postgraduate School. His academic career, active since 2003, focuses on integrating machine learning with decision modeling for practical environmental applications. He teaches courses in machine learning, computational creativity, and artificial intelligence methodologies. His research centers on decision support systems under uncertainty, specializing in data-based revision of hierarchical rule-based models through DEX methodology. This work manifests in tools like proDEX and web applications deployed in environmental domains, particularly for cropping systems analysis and GMO risk assessment. His methodological innovations address knowledge revision in probabilistic qualitative models and multi-attribute decision frameworks. Publication trends from 2004-2010 reveal consistent application of decision modeling to agricultural and environmental challenges. Key themes include soil quality assessment, economic-ecological impact modeling of cropping systems, and risk frameworks for genetically modified organisms. His work bridges theoretical advances in uncertainty handling with real-world implementation through software tools. Dr. Žnidaršič has led significant research initiatives including EU H2020 projects RESILOC (2019-2022) and EMBEDDIA (2019-2021) as task leader, CF-Web (2017-2018) as project coordinator, and earlier collaborations like HEALTHREATS (2007-2010) as work package leader. His project portfolio spans environmental risk assessment, food security, and AI infrastructure development. Based at the Department of Knowledge Technologies in Ljubljana, he operates within interdisciplinary teams focused on data mining and decision support. His work involves extensive European collaboration through projects like e-LICO and ConCreTe, targeting scalable solutions for environmental science and agricultural policy challenges.

Saso Dzeroskiمشاهده پروفایل

استاد

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

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 ).

Nejc Ilcمشاهده پروفایل

استادیار

• Machine Learning
• Cluster Analysis
• Bioinformatics
• +۲ 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.

Alenka Kavčičمشاهده پروفایل

استادیار

• Educational Technology
• Multimedia Systems
• Human-Computer Interaction
• +۴ مورد دیگر

Alenka Kavčič is an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana, and a core member of the Laboratory for Computer Graphics and Multimedia. Her work integrates multimedia technologies, human-computer interaction, and computer graphics with applications in education, cultural heritage, and biodiversity monitoring. Her research spans Educational Technology , Multimedia Systems , and Human-Computer Interaction , with emphasis on self-regulated learning in digital environments, music information retrieval for ethnomusicology, and accessibility solutions for the visually impaired. She investigates agile development methodologies in educational software and vibrational communication in ecological contexts. Recent publications (2022-2004) reveal consistent focus on adaptive educational technologies, including self-regulation scaffolding, hypertext-based science learning, and fuzzy logic for user modeling. Her work bridges theoretical frameworks with practical applications in e-learning standards and engineering education. Dr. Kavčič has secured diverse research funding: National ARRS projects: MULTI-MON (biodiversity monitoring, 2023-2026), Vibroscape (vibrational communication, 2021-2024), J5-9437 (self-regulated e-learning), and J7-9426 (computational folklore) European projects: MiCREATE (migrant children, 2019-2021), CREA (entrepreneurship, 2015-2017), ASPECT (educational standards, 2008-2011) Structural Funds projects: ZaznajSpoznaj (accessibility for visually impaired, 2014-2015), NA-MA POTI (science literacy, 2016-2022), eEksperimenti (natural sciences teaching, 2015) As part of the Laboratory for Computer Graphics and Multimedia, she contributes to R&D in audio processing, VR/AR applications, medical imaging, and open data visualization, developing cross-platform software solutions for desktop, mobile, and cloud environments.

Aljaž Zrnecمشاهده پروفایل

مدرس ارشد

• Software Methodologies
• Method Engineering
• Relational Databases
• +۲ مورد دیگر

Senior Lecturer Aljaž Zrnec is affiliated with the Faculty of Computer and Information Science. His primary research interests include software methodologies, method engineering, relational databases, NoSQL databases, and web technologies. Teaches: Basics of Databases, Information Systems Development, Software Engineering, Databases 2 Laboratory: Laboratory for Data Technologies (Member) Past projects: Intelligent ontology-based information retrieval (date unspecified), EkoSmart – a smartcity ecosystem (01.08.2016 - 31.07.2019), and a Bilateral project (01.01.2012 - 31.12.2013).

Damjan Vavpotičمشاهده پروفایل

استاد

• Software Development Methodologies
• Agile Methodologies
• Information Systems
• +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)

• Slovene Language Teaching
• Second Language Acquisition
• Foreign Language Pedagogy
• +۲ مورد دیگر

Tjaša Alič serves as a Lecturer at the Center for Slovenian as a Second and Foreign Language within the Faculty of Arts, University of Ljubljana. Her institutional affiliation centers on developing Slovene language pedagogy for non-native speakers through both traditional and digital channels. Contact information includes office location at Trubarjeva 3, telephone +386 1 2442 063, and professional email tjasa.alic@ff.uni-lj.si. Her research focuses on online learning methodologies and teaching Slovene as a second/foreign language , with particular emphasis on accessible digital resources. Key contributions include the development of the Slovene Learning Online platform and interactive textbooks like iČas 1 . Her work bridges traditional language pedagogy with modern e-learning frameworks, creating flexible pathways for global learners. Publications reveal a clear trajectory toward digital language instruction , with recent works (2022-2023) prioritizing interactive HTML-based resources and multimedia integration. Her scholarship spans e-textbooks, academic chapters on cross-cultural language teaching, and cultural adaptation materials—all targeting practical application in diverse learning environments. Professional activities include: Editorial leadership for Slovene Learning Online series Co-authoring textbooks and workbooks for Slovene acquisition Developing national vocational qualifications in language teaching Previous lector experience in Austria and UK through institutional partnerships Her academic foundation combines Slovene language studies and sociology, informing her sociocultural approach to language education. Current projects emphasize making Slovene accessible globally through technology-enhanced learning frameworks.

Dejan Lavbičمشاهده پروفایل

دانشیار

• Intelligent agents
• Multi-agent systems
• Ontologies
• +۷ مورد دیگر

Assoc. Prof. Dejan Lavbič is an Associate Professor at the University of Ljubljana, Faculty of Computer and Information Science with 15+ years of academic experience. His research focuses on intelligent agents, multi-agent systems, ontologies, and blockchain-based smart contracts , particularly in semantic web technologies, AI services ecosystems, and information quality assessment . Doctor of Philosophy in Computer Science, University of Ljubljana (2010) Bachelor of Science in Computer Systems and Informatics, University of Ljubljana (2004) His scientific contributions span semantic web frameworks, blockchain applications, and machine learning systems, with 20+ peer-reviewed publications. Recent works include: Smart contract classification with AI Cardano blockchain identity systems Information quality metrics with gamification Awards include Cambridge CAE certification and multiple industry certifications. He mentors students in decentralized applications, AI development, and smart city ecosystems , having guided 6+ diploma/master theses on topics like automated essay grading and air quality data collection.

• Information systems
• Sustainable Development
• Adoption of new technologies
• +۳ مورد دیگر

Assistant Professor Alenka Baggia serves in the Department of Informatics at the Faculty of Organizational Sciences, University of Maribor. She is a certified Oracle Academy instructor and member of the Software Quality and Testing Laboratory. Her research concentrates on: Information systems for sustainable development Digital technology adoption frameworks Green data analysis methodologies AI applications in environmental problem-solving Currently leading six major projects including EverGreen, BeeAPEX, Care4Health, AI2SEP, NOO, and SuMoS, she bridges informatics with sustainability transitions. Her publication record spans journals like Education and Information Technologies , Comunicar , and Sustainability . Dr. Baggia maintains active research supervision through her laboratory work and project leadership, with office hours Wednesdays 9:00-11:00 (email pre-registration required).