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)
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نمایش ۱۶-۲۴ از ۲۴ استاد راهنما
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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).
Matej Dobrevskiمشاهده پروفایل
استادیار
Matej Dobrevski serves as an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana. He is actively engaged with the Visual Cognitive Systems Laboratory (Laboratorij LUVSS) and teaches core courses including Development of Intelligent Systems and Introduction to Computer Science . His research focuses on the convergence of cognitive modeling and visual perception systems, with primary interests in Cognitive Systems , Artificial Intelligence , and Computer Vision . Through the Visual Cognitive Systems Laboratory, he investigates biologically inspired computational frameworks for intelligent visual processing. As a laboratory member of LUVSS, Dr. Dobrevski contributes to interdisciplinary projects bridging cognitive science with machine perception, emphasizing real-world applications of visual intelligence systems.
Aleš Jakličمشاهده پروفایل
استادیار
- Computer Vision
- 3D Reconstruction
- Machine Learning
- +۳ مورد دیگر
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).
Alan Lukežičمشاهده پروفایل
استادیار
Alan Lukežič serves as an Assistant Professor and laboratory member at the Visual Cognitive Systems Laboratory (Laboratorij LUVSS), where he teaches Advanced topics in computer vision. His academic work bridges visual perception systems and computational cognition within the broader field of computer science. His research focuses on Computer Vision, Cognitive Systems, Artificial Intelligence, and Image Processing, exploring machine interpretation of visual data for applications in robotics, medical diagnostics, and human-computer interfaces. This interdisciplinary work integrates neural modeling with real-world visual system design. As part of the Visual Cognitive Systems Laboratory team in room R2.37, he contributes to experimental frameworks analyzing how artificial systems emulate biological visual cognition through computational architectures.
Martin Možinaمشاهده پروفایل
استادیار
Dr. Martin Možina is an Assistant Professor at the University of Ljubljana , affiliated with the Artificial Intelligence Laboratory since 2004. His work bridges classical machine learning with argumentation theory and focuses on interpretable AI methods. Research includes argument-based machine learning for knowledge-driven AI Developed nomogram visualization techniques for linear models Created automated chess tutors for move explanation Research projects span from 2004 to 2025, including: Current DRIFT project (2022-2025) on deep learning for power grid optimization Deep reinforcement learning applications in energy systems Argumentation for medical prognosis (lung cancer) and knowledge acquisition Publications show interdisciplinary work between: AI explainability (4/6 articles) Education technology (2/6) Healthcare AI applications (2/6) Graphical model interpretation (1/6) Multi-agent research (1/6) Teaching includes Decision Systems courses, with a focus on applied AI methods.
Luka Fürstمشاهده پروفایل
استادیار
Luka Fürst is an Assistant Professor affiliated with an academic institution, specializing in Computer Science and Software Engineering . His work spans theoretical and applied domains, including Graph Theory , Programming Pedagogy , and Machine Learning . Teaches courses: Programming 2 , Programming 1 , Algorithms and Data Structures 2 , Computability and Computational Complexity Active in the Software Engineering Laboratory as a member Research Focus : Luka Fürst explores graph grammar induction , feature selection in object detection , and innovative programming education methods . His projects include KATARINA (promoting foundational computing knowledge) and legacy work on Computer Vision and Visual Assistant systems. Publications reveal a trajectory centered on formal language processing , machine learning techniques , and interactive educational tools , with recurring themes in software engineering and algorithm design .
Prof. Marko Robnik Šikonja is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana . As head of the Machine Learning and Language Technologies Laboratory , he leads research in artificial intelligence, machine learning, data mining, natural language processing, and network analytics. He has authored over 150 publications with more than 5000 citations on Google Scholar. Research Focus: Deep neural networks, model explanation, embeddings, ensemble learning, and interdisciplinary applications in healthcare (e.g., STRATIFYHF for heart failure detection) and digital humanities (e.g., Language Resources for Slovene ). Scientific Awards: ECML/PKDD 2019 Journal Track Reviewer Award 2018 Outstanding Research Achievement at University of Ljubljana 2015 Golden Medal for contributions to the university Key Projects: STRATIFYHF (2023-2027): AI for heart failure risk stratification EMBEDDIA (2019-2021): Cross-lingual embeddings for European news KAUČ (2016-2022): Slovene textbook quality improvement
Katarina Švabمشاهده پروفایل
استادیار
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.