جست‌وجوی استاد و پژوهشگر

Danijel Skočajمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Danijel Skočaj is Full Professor at the University of Ljubljana, Faculty of Computer and Information Science , and serves as Head of the Visual Cognitive Systems Laboratory . He is an internationally recognized researcher in computer vision, machine learning, and cognitive robotics , with a strong focus on deep-learning solutions for real-world visual perception tasks and their ethical implications. Education: While specific degrees are not listed in the text, Professor Skočaj’s 2002 “Best PhD paper award” confirms he holds a PhD in the relevant field. Research Interests: His work spans Computer Vision & Pattern Recognition Deep Learning & Neural Networks Cognitive Robotics & Autonomous Navigation Visual Anomaly & Surface-Defect Detection AI Ethics & Societal Impact of AI These interests manifest in both theoretical advances and practical systems deployed in industry and public infrastructure. Publication Trends: Recent papers (2020-2024) emphasize deep-learning architectures for defect detection, robotic grasping, autonomous navigation, traffic-sign recognition, and 3-D anomaly detection , demonstrating a clear trajectory toward robust, real-time, and data-efficient visual intelligence. Awards & Honors: Prometheus of Science Award 2021 (Slovenian Science Foundation) Golden Plaque, University of Ljubljana 2020 ARRS National Award for Exceptional Scientific Achievement 2011 & 2022 Multiple Best-Paper awards at ERK conferences (2013, 2017, 2019) Top-downloaded paper recognition, Journal of Intelligent Manufacturing 2020 Grants & Projects: He currently leads or co-leads five major 2025-2028 national and EU projects (RTFM, SMASH, COMET, RoDEO, MUXAD) totaling several million Euros, focusing on advanced computer vision, machine learning for science & humanities, autonomous systems, and explainable AI. Past leadership includes EU FP7 CogX, GOSTOP, ViLLarD, and many ARRS programmes. Laboratory & Team: The Visual Cognitive Systems Laboratory hosts a dynamic group of doctoral and master’s students working on cutting-edge perception systems. The lab’s open-source low-cost robotic platform and datasets are widely adopted for education and research.

Blaž Zupanمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Explainable AI
• +۴ مورد دیگر

Blaž Zupan is a Full Professor at the University of Ljubljana, also affiliated with Baylor College of Medicine in Houston, teaching artificial intelligence and machine learning. He leads a fifteen-member bioinformatics laboratory and has authored over one hundred publications with more than ten thousand citations, reflecting significant impact in computational sciences. His research centers on explainable AI, machine learning, and data visualization, with deep applications in bioinformatics. He pioneered the Orange data mining suite—a visual programming tool for accessible analytics—and bioinformatics platforms like dictyExpress for gene expression analysis and GenePath for genetic network discovery, emphasizing user-friendly interfaces and real-world usability. Analysis of his recent publications reveals a trajectory from foundational AI (e.g., concept hierarchies in 1999) to contemporary bioinformatics, with current work focusing on single-cell genomics, batch-effect correction, and democratizing AI through visual programming. His tools bridge computational methods and biological discovery, particularly in systems biology and genomics. Zupan’s accolades include the Zois Award (2010), two University of Ljubljana Golden Plaques (2011, 2019), a Fulbright Scholarship (2013), and six student-voted Best Teacher Awards (2008–2017). He was named among the Top 100 Most Influential Innovators of Central and Eastern Europe (2016) by Res Publica, Financial Times, and Google. He secures substantial research funding, currently leading projects like KATARINA (computer science education for all), DALI4US (data literacy for primary schools), DANIO-ReCODE (genomics of regeneration), and L2-60154 (explainable AI for gene expression). Past projects span AI systems (2009–2020), drug discovery, and systems biology, demonstrating sustained interdisciplinary impact. As head of the Bioinformatics Laboratory, he fosters collaboration between computer science and biology, developing open-source tools that empower researchers globally. His consulting for industry and public organizations extends his influence into data-driven decision support and AI training.

Octavian Mihai Machidonمشاهده پروفایل

استادیار

• Mobile Computing
• IoT-based Systems
• Smart Public Governance
• +۸ مورد دیگر

Octavian Mihai Machidon is an Assistant Professor at the Faculty of Computer and Information Science (FRI), specializing in mobile computing, IoT systems, and approximate computing. His research bridges technological innovation with diverse applications in agriculture, cultural heritage, and smart governance. Current research focuses on energy-efficient mobile systems, UAV-based agricultural monitoring, and smart governance frameworks Previously led H2020 Smart4All AgriAdapt project Recipient of multiple awards for research excellence and innovation His work demonstrates cross-disciplinary impact through projects like Mobiprox (IEEE IoT Journal) and SqueezeSlimU-Net (IEEE Journal of Selected Topics in Applied Earth Observations). Key trends include adaptive algorithms, real-time processing, and sustainable technology integration. 2024 - FRI Special Award for Exceptional Research Achievement 2023 - Agrobiznis 'Best Idea' award for AgriAdapt project As member of the Computer Communications Laboratory , he contributes to digital transformation initiatives and teaches courses in process automation and mobile sensing platform development.

Ivan Bratkoمشاهده پروفایل

استاد

• Machine Learning
• Knowledge-Based Systems
• Qualitative Modelling
• +۵ مورد دیگر

Ivan Bratko is a Professor of Computer Science at the University of Ljubljana's Faculty of Computer and Information Science. He founded the Artificial Intelligence Laboratory in 1985 and served as its head until 2017, remaining an active member. Until 2002, he also directed the AI group at the Jožef Stefan Institute. His academic journey includes B.Sc., M.Sc., and Ph.D. degrees in electrical engineering and computer science, all from the University of Ljubljana. Bratko's research spans machine learning, knowledge-based systems, qualitative modeling, intelligent robotics, heuristic programming, and computer chess. His work focuses on learning from noisy data, combining learning with qualitative reasoning, constructive induction, Inductive Logic Programming, and applications in medicine and dynamic system control. He has authored over 200 scientific papers and influential books including Prolog Programming for Artificial Intelligence (third edition, 2001), KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems (MIT Press, 1989), and Machine Learning and Data Mining: Methods and Applications (Wiley, 1998). His publication portfolio demonstrates consistent contributions to AI, with recent work emphasizing argument-based machine learning, qualitative modeling applications, and medical AI systems. These publications reveal strong interdisciplinary connections between theoretical AI and practical applications in environmental science, healthcare, and robotics. Fellow of the European Coordinating Committee for Artificial Intelligence (ECCAI) Member of the Slovene Academy of Arts and Sciences (SAZU) Former editorial board member of Artificial Intelligence , Machine Learning , Journal of AI Research , and other leading journals Co-founder and first chairman of the Slovenian AI Society (SLAIS) Bratko has secured numerous research projects including ARRS programs on artificial intelligence (2009-2020), the PARKINSCHECK project for Parkinson's disease detection, and European projects like X-MEDIA and XPERO. His laboratory serves as the central hub for AI research at the University of Ljubljana, fostering collaborations across medical, environmental, and industrial domains. He has mentored numerous researchers and maintained active collaborations through visiting positions at institutions including Edinburgh University, University of New South Wales, and Delft University of Technology.

Žiga Emeršičمشاهده پروفایل

استادیار

• Biometrics
• Deep Neural Networks
• Computer Vision
• +۵ مورد دیگر

Žiga Emeršič is an Assistant Professor at the University of Ljubljana, Faculty of Computer and Information Science , affiliated with the Computer Vision Laboratory . His work bridges biometrics , deep learning , and computer vision , with a focus on ear-based recognition systems and explainable AI. IEEE Member #98052610 Email: ziga.emersic@fri.uni-lj.si Office: R2.33, LRV Laboratory Office Hours: Tuesdays 12:30 or by arrangement Research interests include biometric recognition , deep neural networks , object detection , and privacy-preserving AI . He pioneered ear biometrics research, developing tools like the Ear Biometric Database in the Wild and ContexedNet for context-aware recognition. Recent publications analyze biometric model performance ( Neural Computing & Applications, 2018 ), explore k-Same-Net for face deidentification ( Entropy, 2018 ), and advance ear alignment using two-stack hourglass networks ( IET Biometrics, 2023 ). His 2021 work on context-aware ear detection addresses real-world variability. Awards include the European Association for Biometrics Award (2021) , SDRV Excellence Plaque (2023) , and multiple University of Ljubljana recognitions for teaching and research (2016, 2018, 2022). He co-organized the 1st Machine Learning Summer School in Central America (2018) . As co-founder of OOSM Ltd (2014-2015), he applied deep learning to smart city solutions. His 2017 doctoral thesis on visual ear detection in unconstrained environments solidified his expertise in biometric AI .

Melanija Vezočnikمشاهده پروفایل

استادیار

• Database Systems
• Mobile Business
• Information Retrieval
• +۳ مورد دیگر

Melanija Vezočnik is an Assistant Professor affiliated with the Laboratory for Data Technologies . She teaches courses in Basics of Databases , Electronic and Mobile Business , and Web Information Extraction and Retrieval . Her work is associated with the ACES project ( Autopoietic Cognitive Edge-cloud Services , 2023–2025), focusing on cutting-edge data and cloud technologies. Her research interests span database systems , mobile business applications , and web information retrieval , aligning with her role in the Laboratory for Data Technologies. Current projects like ACES highlight her expertise in integrating cognitive computing with edge-cloud architectures.

Lovro Šubeljمشاهده پروفایل

دانشیار

• Network Science
• Machine Learning with Graphs
• Data Analysis
• +۱۲ مورد دیگر

Lovro Šubelj is an Associate Professor at the University of Ljubljana, Faculty of Computer and Information Science , specializing in Network Science and Machine Learning with Graphs . His work bridges theoretical and applied network analysis, with contributions to community detection, graph convexity, and network simplification. Research focuses on graph algorithms for network abstraction Teaching: MSc/PhD courses on Network Science, BSc programming courses Collaborates with institutions like Leiden University and Imperial College London Research Interests: His primary work explores structural and dynamic properties of complex networks, including community detection via label propagation, convex skeletons for network simplification, and intermediacy metrics for citation analysis. Secondary interests span data mining, stream mining, and statistical network modeling. Publication Trends: Recent work emphasizes scalable network algorithms (2023-2025), graph embeddings (2021), and geometric network properties like convexity (2018-2019). Earlier projects (2012-2017) addressed citation network analysis, social network fraud detection, and database consistency evaluation. Teaching & Outreach: Provides educational materials on YouTube, including courses on network science and programming. Maintains open-access data/code repositories through KONECT, ICON, and GitHub.

Polona Vilarمشاهده پروفایل

استاد

• Information Behavior
• Information Literacy
• Reading Literacy
• +۳ مورد دیگر

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.

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.

Matjaž Pančurمشاهده پروفایل

مدرس

• Computer Networks
• Cloud Computing
• Network Security
• +۶ مورد دیگر

Lecturer Dr. Matjaž Pančur is affiliated with the Faculty of Computer and Information Science (FRI) at the University of Ljubljana. He works in the Computer Communications Laboratory and is actively involved in research areas including communication networks, cloud architectures, network and cloud security, SDN/NFV technologies, identity management, container orchestration, and environmentally sustainable IT practices. Key research domains: Communication networks, cloud computing, cybersecurity, and decentralized systems Current projects: KATARINA (access to computer science education), PoVeJMo (LLM-based NLP), ARISA (AI skills alliance)

Ratko Pilipovićمشاهده پروفایل

استادیار

• High Performance Computing
• Ubiquitous Computing
• RISC-V Architecture
• +۳ مورد دیگر

Ratko Pilipović is an Assistant Professor affiliated with the Laboratory for Adaptive Systems and Parallel Processing (LASPP). He specializes in high-performance computing, ubiquitous computing, and RISC-V vector processors, with extensive involvement in European and Slovenian research projects. Current project: EUROCC2 (National Competence Centres in EuroHPC Phase 2, 2023-2025) Current project: P2-0359 (Ubiquitous Computing, 2023-2027) Past project: P2-0359 (Vseprisotno računalništvo, 2018-2023) Past project: BI-HR/23-24-009 (RISC-V vector processors, 2023-2025) His teaching responsibilities include courses in Digital Design , Computer Systems , and Digital Logic Design . Research focuses on adaptive systems, parallel processing architectures, and scalable computing solutions.

Peter Rotمشاهده پروفایل

پژوهشگر

• Computer Vision
• Biometrics
• Deep Learning
• +۶ 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.

Davor Slugaمشاهده پروفایل

استادیار

• High-Performance Computing
• Approximate Computing
• Parallel and Distributed Systems
• +۴ مورد دیگر

Assistant Professor Davor Sluga is a member of the Laboratory for Adaptive Systems and Parallel Processing (LASPP). His research focuses on high-performance computing, approximate computing, and parallel/distributed systems, with applications in sensor networks, medical video processing, and RISC-V architecture. His work spans multiple projects including: Synergy of technological systems (ARRS P2-0241, 2020-2026) EUROCC2 National Competence Center (2023-2025) ARISA AI Skills Alliance (2022-2026) Context-aware on-device approximate computing (ARRS J2-3047, 2021-2024) He has previously contributed to projects involving medical video annotation (2014-2015), soft computing for dynamic systems (2010-2011), and hypercomputing in Parkinson’s research (2019).

Branko Šterمشاهده پروفایل

استاد

• Computer Systems
• Parallel Processing
• Adaptive Systems
• +۳ مورد دیگر

Branko Šter serves as Professor at the Faculty of Computer and Information Science, University of Ljubljana, teaching Computer Systems Architecture , Computer Systems , and System Software while leading the Laboratory for Adaptive Systems and Parallel Processing. His research focuses on Computer Systems , Parallel Processing , and Adaptive Systems , with emphasis on technological synergy and soft computing methodologies. Current work centers on the ARRS research programme P2-0241 Synergy of the technological systems and processes (2020-2026), extending his continuous involvement since 2009 through overlapping project phases. Professor Šter directs laboratory research in adaptive computing systems with practical applications in embedded technologies, evidenced by projects like PKP 5 Accelerator for virtual machine for embedded systems (2019). His international collaboration includes the EuNetAir COST Action on air-pollution control systems (2012-2016), demonstrating cross-disciplinary technological integration.