Signal Processing Professors and Supervisors in Slovenia

Franc SolinaView profile

Professor

University of LjubljanaSlovenia

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 .

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Aleš SmrdelView profile

Assistant Professor

University of LjubljanaSlovenia

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.

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Franc JagerView profile

Professor

University of LjubljanaSlovenia

Franc Jager is a Full Professor at the University of Ljubljana, Faculty of Medicine, where he leads the Laboratory for Biomedical Computer Systems and Imaging. His research focuses on biomedical signal and image processing, digital signal processing, biomedical computer systems, and human-computer interaction, with particular emphasis on electrohysterography (EHG) for pregnancy monitoring and preterm birth prediction. Professor Jager's research interests include: Biomedical signal processing and analysis Electrohysterogram (EHG) analysis for pregnancy monitoring Preterm birth prediction using uterine electrical activity Development of biomedical datasets and databases Biomedical computer systems and imaging His recent work has centered on developing and analyzing EHG datasets, including the Term-Preterm EHG DataBase (TPEHG DB), Term-Preterm ElectroHysteroGram DataSet with Tocogram (TPEHGT DS), and the Induced Cesarean EHG DataSet (ICEHG DS). These datasets have been instrumental in advancing research on predicting preterm birth and understanding uterine electrical activity during pregnancy. His publications reveal a strong focus on signal processing techniques applied to obstetric care, with particular attention to developing robust methods for analyzing uterine electrical activity across different pregnancy outcomes. Professor Jager is a Full Member of Sigma Xi, The Scientific Research Honor Society, recognizing his significant contributions to scientific research. He teaches courses in Biomedical Signal and Image Processing and Digital Signal Processing, mentoring the next generation of biomedical engineers and researchers. His laboratory pursues multiple research goals including understanding physiological phenomena, developing computer models of physiological relationships, monitoring physiological events, and creating standardized databases to evaluate recognition techniques in biomedical applications.

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Borut BatageljView profile

Assistant Professor

University of LjubljanaSlovenia

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.

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Nejc IlcView profile

Assistant Professor

University of LjubljanaSlovenia

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.

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Patricio BulićView profile

Associate Professor

University of LjubljanaSlovenia

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.

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Iztok Lebar BajecView profile

Associate Professor

University of LjubljanaSlovenia

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.

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Uroš LotričView profile

Associate Professor

University of LjubljanaSlovenia

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.

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Luka ŠajnView profile

Assistant Professor

University of LjubljanaSlovenia

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 .

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Rok ČešnovarView profile

Lecturer

University of LjubljanaSlovenia

Lecturer Rok Češnovar is affiliated with the Laboratory for Adaptive Systems and Parallel Processing (LASPP). His work focuses on computational methods in adaptive systems and parallel processing. Teaches classes in Computer Systems Organisation, Input-Output Systems, and Embedded Systems Active in research projects related to computationally intensive statistical analysis, sensor networks, and RISC-V vector processors Research Focus Rok Češnovar specializes in embedded systems and signal processing , with emphasis on computationally intensive methods and approximate computing . His work bridges theoretical statistics with practical implementation in adaptive systems. Project History He has contributed to projects including: ARRS-funded research on computationally intensive statistical methods (2016-2019) Decomposing cognition in working memory studies (J3-9264, 2018-2021) High-performance RISC-V vector processor computing (BI-HR/23-24-009, 2023-2025)

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Jon Natanael MuhovičView profile

Assistant Professor

University of LjubljanaSlovenia

Jon Natanael Muhovič is an Assistant Professor affiliated with the Visual Cognitive Systems Laboratory . His research focuses on machine perception , development of intelligent systems , and robotics , leveraging advanced computational methods to address complex visual data challenges. Key research themes include deep learning applications for inconsistency detection (ARRS project J2-9433, 2018-2021), adaptive sensing techniques for autonomous vehicles (ARRS project J2-2506, 2020-2023), and data-driven frameworks for machine vision (ARRS project L2-3169, 2021-2024). He has also contributed to practical initiatives such as the feasibility study of a navigation system for the blind (2021) and software development for classification tasks (2018). As a member of the Laboratory for Underwater Vision and Signal Processing Systems (LUVSS) , his work bridges theoretical innovation with real-world applications in visual cognition and machine perception.

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