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Franc SolinaView profile

Professor

• Computer Vision
• Human-Computer Interaction
• 3D Documentation
• +6 more

Franc Solina is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana, Slovenia. He holds a Ph.D. from the University of Pennsylvania and has been active in academia since the 1990s. Education: Dipl.Ing. (1979) and M.S. (1982) in Electrical Engineering, University of Ljubljana Ph.D. (1987) in Computer and Information Science, University of Pennsylvania Research Interests: His work spans Computer Vision (superquadric modeling, underwater archaeology documentation), Human-Computer Interaction (interactive art installations, sign language technology), and Air Transport Applications (machine learning for aircraft trajectory prediction). He also explores Color-Based Applications and Visual Expression in art-technology intersections. Publication Trends: Franc's 15 most recent articles focus on superquadric modeling (1990-2004), underwater archaeology (2013-2015), and machine learning applications (2020). His work bridges theoretical computer vision with practical implementations in art and aviation. Students: He has supervised notable students like Marko Hrastovec (2018 thesis on aircraft trajectory prediction) and Tim Oblak (2020 work on superquadric deep learning). Labs & Teams: A key member of the University of Ljubljana's Computer Vision Laboratory , he collaborates with international researchers in projects like the Slovenian sign language web dictionary and air traffic safety initiatives .

Polona VilarView profile

Professor

• Information Behavior
• Information Literacy
• Reading Literacy
• +3 more

Polona Vilar is a Professor at the Department of Library, Information Science and Book Studies, Faculty of Arts, University of Ljubljana, where she has worked since 1999. Her academic progression includes assistant professor (2008), associate professor (2014), and full professor (2019) positions. She teaches information behavior, information and reading literacy, and school/general library studies. Active in national and international research projects Visiting professor/researcher at City University London, University of Graz, and others Member of CoLIS and ISIC conference committees IFLA Section for Information Literacy committee until 2023 Senate member and Habilitation Commission member at Faculty of Law Her research focuses on information behavior, literacy, and library systems. Recent work examines research data management, academic reading formats, and archival literacy. She has over 140 publications including books and reports. Scientific awards include: Kalan Award (2003, 2019) from Slovenian Library Association Emerald/EFMD Publishing House Award (2008) for doctoral work ŠS FF Award (2013) for pedagogical excellence Vilar has mentored nearly 100 students and led projects like Kulturni in sistemski dejavniki bralne pismenosti (2015-2016). She actively promotes librarian continuing education and has brought international conferences (CoLIS 2019) to Slovenia.

Aleš SmrdelView profile

Assistant Professor

• Human-Computer Interaction
• Usability Testing
• User Interface Design
• +3 more

Aleš Smrdel is an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana. He is affiliated with the Laboratory for Biomedical Computer Systems and Imaging. Research Interests: Designing and implementing user interfaces Usability testing and human-computer interaction Biomedical signal analysis, particularly ECG and ischemia detection Selected Publications: Focus on algorithm development for cardiovascular diagnostics, including ST segment analysis and open-source tools for ECG evaluation. Laboratory: Active member of the Laboratory for Biomedical Computer Systems and Imaging.

Borut BatageljView profile

Assistant Professor

• Pattern Recognition
• Computer Vision
• Machine Learning
• +5 more

Borut Batagelj is Assistant Professor at the University of Ljubljana, Faculty of Computer and Information Science, and an active member of the Image-Based Biometry Group in the Computer Vision Laboratory. His expertise lies in pattern recognition, computer vision, and machine learning, with a strong focus on biometric forensics, face recognition, and deepfake detection. Education: Ph.D. in Computer Science, University of Ljubljana, Faculty of Computer and Information Science, 2007 M.Sc. thesis: Iskanje obrazov na osnovi barv s pomočjo statističnih metod razpoznavanja vzorcev , 2004 Research Interests revolve around forensic methods for detecting deepfakes and face-morphing attacks, biometrics from surveillance imagery, and interactive computer-vision systems for education and art. He employs anomaly-detection techniques, deep generative models, and real-time image analysis to advance these fields. His publication trend over the past decade shows a steady output spanning from theoretical pattern-recognition studies to practical forensic applications and multimedia art preservation. Notable themes include biometric security, educational technology, and augmented-reality visualization. Research Grants & Projects : Principal investigator: ARRS project J2-50065 “DeepFake DAD” (Deepfake Detection via Anomaly Detection), 2023–2026 Co-investigator: ARRS research programme P2-0214 “Computer Vision”, 2019–2024 Co-investigator: ARRS project J2-1734 “FaceGEN” (Face De-identification with Deep Generative Models), 2019–2022 Co-investigator: ARRS project J7-3158 “Sustainable digital preservation of the Slovenian new-media art”, 2021–2024 Earlier: ARRS projects on superquadric segmentation, interactive installations, and educational games. Laboratory & Team : He collaborates closely within the Computer Vision Laboratory , particularly the Image-Based Biometry Group, fostering interdisciplinary work between security applications and interactive media.

Narvika BovconView profile

Professor

• new media art
• visual communications
• digital animation
• +2 more

Narvika Bovcon is a Full Professor at the Faculty of Computer and Information Science, specializing in video and new media art. Since 2016, she has served as editor-in-chief of the journal Art Words and has authored numerous new media art projects and exhibitions. Her academic activities include teaching courses such as Introduction to Graphics Design, Graphic Design, and Multimedia Content. Research Focus: Bovcon's work explores interdisciplinary intersections of technology and art, with emphasis on: Digital animation and mixed reality applications User interface design for cultural heritage Augmented reality in fine arts and literature Digital preservation methodologies Computational approaches to visual communications Publication Trends: Her recent scholarly output (2013-2021) demonstrates strong focus on digital heritage preservation, augmented reality implementations in cultural contexts, computational analysis of art, and educational applications of interactive media. Works frequently employ case studies and technical evaluations within Slovenian cultural frameworks. Research Projects: P2-0214 Computer Vision (ARRS, 2019-2024) - Core research programme J7-3158 Sustainable digital preservation of Slovenian new-media art (ARRS, 2021-2024) ŠIPK 2 Cultural Heritage documentation using new technologies (Structural Funds, 2018) PKP 1 Interactive computer installation integration (Structural Funds, 2014) Laboratory Affiliation: Active member of the Computer Vision Laboratory at the Faculty of Computer and Information Science, contributing to technical-artistic research initiatives.

Aleš JakličView profile

Assistant Professor

• Computer Vision
• 3D Reconstruction
• Machine Learning
• +3 more

Aleš Jaklič is an Assistant Professor affiliated with the Computer Vision Laboratory . His work spans computer vision, 3D reconstruction, and educational technologies, with a focus on practical applications in archaeology, meteorology, and STEM-C education. Research interests include: 3D modeling from point clouds Superquadric parameter prediction from depth images IoT-based educational tools for computer science Historical artifact digitization Image processing algorithms His publications since 2000 demonstrate expertise in geometric modeling, computer vision, and educational technology. Highlights include work on superquadric recovery (2000, 2003), archaeological modeling (2015), and IoT education frameworks (2020). Recent research (2021) explores neural network approaches to depth image analysis. Active in research programs funded by the Slovenian Research Agency (ARRS) since 2009, including the ongoing P2-0214 - Computer Vision program (2019-2024). He has also contributed to the ŠIPK 5 project on IoT education (2020).

Robert RozmanView profile

Senior Lecturer

• Computer Architecture
• Embedded Systems
• Speech Processing
• +4 more

Dr. Robert Rozman serves as a Senior Lecturer and Instructor at the Faculty of Computer and Information Science, University of Ljubljana, where he teaches core courses in Computer Architecture , Computer Organisation , and Input-Output Systems while contributing to laboratory instruction through the Laboratory of Algorithmics. His academic journey began at Maribor's Secondary Computer School (SERŠ), followed by comprehensive studies at Ljubljana's Faculty of Computer and Information Science, where he earned sequential BSc , MSc , and PhD degrees in Computer Science. Rozman's research program bridges hardware systems and human-computer interaction , with concentrated expertise in computer architecture optimization, embedded system design, and multimodal speech technologies. His work particularly emphasizes practical implementations of speech generation/recognition systems and next-generation communication frameworks leveraging Internet convergence. Scientific Awards: None documented in source materials. Research engagement includes participation in the Structural Funds project PKP 3 ( Video measurements of ski jump lengths , March-July 2017), though no student advisement activities or additional grants are referenced. He maintains active affiliation with the Laboratory of Algorithmics, contributing to its computational research ecosystem through teaching and project supervision.

Slavko ŽitnikView profile

Associate Professor

• information retrieval
• information extraction
• natural language processing
• +7 more

Slavko Žitnik is an Associate Professor and Vice-dean at the Faculty of Computer and Information Science, University of Ljubljana, where he is a member of the Laboratory for Data Technologies. His academic career spans multiple research projects and international collaborations focusing on data technologies and natural language processing. His primary research interests include information retrieval, information extraction, natural language processing, entity extraction, relationship extraction, coreference resolution, data merging, redundancy elimination, and ontologies. Dr. Žitnik's work often bridges theoretical computer science with practical applications in various domains including education, healthcare, and smart city ecosystems. Dr. Žitnik has led and participated in numerous significant research projects including P2-0359 on Ubiquitous Computing (2023-2027), PoVeJMo on Adaptive Natural Language Processing with Large Language Models (2023-2026), and the GOBLIN COST Action for building global networks of large-scale knowledge graphs. His recent work demonstrates a strong focus on adapting natural language processing techniques with large language models and creating practical applications of these technologies. His scientific contributions span multiple domains including: Natural Language Processing and Information Extraction techniques Knowledge graph construction and integration Applications in education, healthcare, and smart city ecosystems Development of practical tools and systems for data processing Dr. Žitnik has established international collaborations with institutions including Harvard University's Department of Biomedical Informatics (where he conducted a research visit from July to October 2022), the University of South Florida, and various European partners through COST Actions and other collaborative frameworks.

Katarina ŠvabView profile

Assistant Professor

• Library Science
• Information Systems
• Digital Libraries
• +3 more

Katarina Švab is an Assistant Professor at the Department of Library, Information Science and Book Studies within the Faculty of Arts at the University of Ljubljana. She specializes in bibliographic information systems, digital libraries, and user experience, with a focus on public and academic libraries. Her work bridges practical librarianship with academic research. Completed her studies in geography and library science Doctorate in Information Sciences (2016) Guest lecturer at Kent State University (2022) Her research explores user interaction with library systems, collection development, and health education in libraries. Recent publications analyze public library events, catalog usability, and barriers to library service utilization. She co-authored the textbook Organization of Library Collections and has contributed to international conferences on library information systems. Katarina actively collaborates on projects improving library information systems, such as FRBR implementation. She teaches courses on digital libraries, collection organization, and user services at the University of Ljubljana. Her work emphasizes user-centered approaches to library design and services.

Klen Čopič PuciharView profile

Associate Professor

• Augmented Reality
• Mixed Reality
• Virtual Reality
• +7 more

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.'