جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Goran Oreški is an Associate Professor and Head of the Laboratory at the Faculty of Informatics in Pula (University Jurja Dobrile, Croatia), where he has been employed since 2019. He teaches courses on databases, object-oriented programming, data warehousing, and artificial intelligence at both undergraduate and graduate levels. Education: Ph.D. in Informatics (2016), Faculty of Organization and Informatics Industry Experience: 9 years as software architect and programmer in banking sector Research Focus: Artificial Intelligence systems, classical machine learning algorithms, and deep learning architectures. His work bridges theoretical advancements with practical applications in autonomous vehicles, traffic monitoring, and financial risk assessment. Recent Publication Trends: 2023-2025 works emphasize generative AI for synthetic credit data, traffic object segmentation with monocular cameras, and context-aware detection models (YOLO*C). Earlier works focus on genetic algorithms and ensemble learning for imbalanced datasets. Awards: Google RFP Award for autonomous vehicle research Highly Cited Paper (Web of Science, top 1%) Best Paper at CECIIS conference Leadership: Director of FIPU Laboratory since 2022, leading projects like ai.Shuttle (autonomous mini-bus) and CenAI (industry collaboration with Cenosco).

Mislav Balkovićمشاهده پروفایل

دانشیار

• Data Science
• Education Policy
• Labor Market Analysis
• +۷ مورد دیگر

Mislav Balković is an Associate Professor at Algebra University of Applied Sciences, where he has served as Director and Dean since 2000 and 2009, respectively. He drives strategic development for the Algebra Group and contributes to national education policy through roles in expert bodies like the National Council for Science, Higher Education and Technology, and the Accreditation Council of the Agency for Science and Higher Education. Education: PhD (2016) from Faculty of Electrical Engineering and Computing, University of Zagreb Bachelor’s and Master’s degrees from Faculty of Electrical Engineering and Computing, University of Zagreb Research Interests: Mislav’s work bridges Data Science with applications in labor market dynamics , education policy , qualification frameworks , and energy systems . His projects focus on smart grid optimization, digital identity protection, and AI-driven educational reforms. Publications Trends: His recent articles emphasize cross-disciplinary applications , including brain-computer interfaces for image generation, EU labor market analysis , and smart grid resilience . Earlier works explore blockchain-based academic credentials and data analytics in auditing . Grants and Projects: He has led ~50 EU and domestic projects , spanning smart tourist management , lean methodologies for screen creators , and ICT services for alternative communication . His policy work includes drafting laws on adult education and higher education reform. Leadership: Vice President of the Croatian Employers' Association in Education (HUP-UPO) and past President of the Sectoral Council for Electrical Engineering and Computing.

Mateja Pećinaمشاهده پروفایل

مدرس ارشد

• Molecular Genetics
• Animal Biotechnology
• Meat Quality Analysis
• +۳ مورد دیگر

Mateja Pećina is a Senior Lecturer at the Department of Animal Science and Technology, University of Zagreb Faculty of Agriculture, specializing in molecular genetics and biotechnology applications in animal production. She holds a PhD in Animal Science and Technology and has been affiliated with the university since 2016. PhD in Animal Science and Technology (2017-2023) MSc in Animal Science and Technology (2013-2015) BSc in Food Science and Technology (2010-2013) Her research focuses on: Developing molecular methods for animal production Gene polymorphism effects on meat quality Bioremediation techniques in food processing Genetic markers for sensory properties in livestock Dry ageing impacts on beef burgers Conservation of endangered local breeds Recent publications highlight trends in genetic influence on meat composition, bioremediation advancements, and sustainable practices in livestock farming. She coordinates two major projects: Genetic, Economic, and Social Interactions in Local Breed Conservation (Croatian Science Foundation, 2021-2024) and Boosting Excellence in Experimental Research for Agri-Food Economics and Management (Horizon 2020, 2020-2023). Her international collaborations include scientific visits to the University of Padova, University of Bologna, and Swedish University of Agricultural Sciences for research in animal biotechnology and meat analysis.

Zoran Jančićمشاهده پروفایل

مدرس

• E-learning Systems
• Digital Education
• Instructional Design
• +۳ مورد دیگر

Zoran Jančić is a lecturer at Algebra University and head of its E-learning Department . With over 20 years of experience in digital education projects, he specializes in e-learning system implementation, content development, and project management across educational, public, and corporate sectors. Graduated from Faculty of Electrical Engineering and Computing, Zagreb Adobe Certified Expert (ACE) for Adobe Captivate Moodle Educator Certificate (MEC) based on DigCompEdu framework His research interests focus on e-learning systems , digital education infrastructure , and learning management systems (LMS) . Key projects include: Developing 1500+ school hours of digital content for Croatian academic network CARNET Implementing national e-learning systems for the State School of Administration Creating certification platforms for Croatian tradesmen used across four countries His recent publications analyze corporate LMS investments , non-formal learning recognition , and storage solutions for small businesses , reflecting his interdisciplinary work at the intersection of educational technology and enterprise IT systems. Notable contributions include digital career tools and multimedia training programs .

• Electromagnetic Theory
• Applied Mathematics
• Numerical Methods
• +۳ مورد دیگر

Dario Bojanjac is an Assistant Professor at the Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on mathematical modeling of electromagnetic processes, numerical methods for Maxwell's equations, and applied mathematics techniques like asymptotic analysis. He holds a PhD in mathematics (2015) and electrical engineering (2009), with extensive visiting scholar experience at institutions such as École Polytechnique Fédérale de Lausanne (EPFL) and the University of Michigan. Education: PhD in Mathematics (2015), Faculty of Science, University of Zagreb PhD in Electrical Engineering (2009), Faculty of Electrical Engineering and Computing His research interests include electromagnetic wave scattering, homogenization of Maxwell's equations, and computational electromagnetism. Recent work explores ground-based SAR systems, deep learning applications in radar data analysis, and flood classification using multivariate approaches. He has received awards including the Swiss Government Excellence Scholarship and Croatian Government Fellowship. His projects include satellite electromagnetic field measurements and metamaterial-based invisibility cloak realization. He participates in lab initiatives like AOLAB2 and coordinates projects such as BODYSEN and HybridAccess. Awards: Swiss Government Excellence Scholarships CIME Foundation Fellowship European Science Foundation Fellowship Bojanjac has advised on multiple research projects and contributed to educational initiatives like the MILE interactive learning system. His lab collaborations include work on sensor systems and optical communication technologies.

Renata Pernarمشاهده پروفایل

استاد

• Remote Sensing
• GIS Analysis
• Forest Management
• +۷ مورد دیگر

Prof. Renata Pernar is a distinguished academic at the University of Zagreb's Faculty of Forestry and Wood Technology, currently serving as a Professor since 2014. Her primary affiliation is within the Department of Forestry. She has held progressively senior roles since 1989, advancing from junior researcher to her current rank. Roles Timeline: 1989–1990: Expert Associate 1990–1995: Junior Researcher 1995–1997: Assistant 1997–2001: Senior Assistant 2001–2006: Assistant Professor 2006–2009: Associate Professor 2009–2014: Full Professor 2014–Present: Distinguished Professor Her research focuses on remote sensing applications , including aerial imagery analysis for tree species identification and forest health assessment, satellite imagery for environmental monitoring, LiDAR in forestry, and thermal imaging. She also explores wildlife tracking via telemetry, neural networks for forest damage detection, and geospatial modeling (Digital Elevation Models, raster-GIS). Courses taught include Spatio-temporal Analysis in GIS, Digital Cartography, and 3D Data Processing. Publications can be accessed via CROSBI and Google Scholar . She is reachable at room 318 (Green Building) and via email.

Danijel Grahovacمشاهده پروفایل

دانشیار

• Limit theorems
• Scaling properties of stochastic processes
• Self-similarity
• +۷ مورد دیگر

Danijel Grahovac is an Associate Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. His academic career spans multiple research areas in probability theory and applied statistics, with particular focus on stochastic processes and their applications. His educational background includes a PhD in mathematics from the Faculty of Natural Science, Department of Mathematics, University of Zagreb (2015), with a thesis titled Scaling properties of stochastic processes with applications to parameter estimation and sample path properties , supervised by N.N. Leonenko and M. Benšić. He also holds two Master's degrees (2010, 2016) and a Bachelor's degree (2008) in Mathematics from the University of Osijek. Grahovac's research primarily focuses on limit theorems, scaling properties of stochastic processes (including self-similarity and multifractal processes), heavy-tailed distributions, and applied probability and statistics. His work often bridges theoretical developments with practical applications in fields such as image analysis, seismology, and financial modeling. He has developed innovative clustering algorithms and contributed significantly to the understanding of supOU (superpositions of Ornstein-Uhlenbeck) processes and their properties. His recent publications (2023-2025) demonstrate continued productivity across multiple journals including Pattern Analysis and Applications, Bernoulli, and Journal of Theoretical Probability. The articles reveal a consistent research trajectory examining the behavior of stochastic processes, particularly focusing on intermittency, scaling properties, and applications to real-world problems like earthquake analysis and image segmentation. Grahovac leads the project Scaling in stochastic models , funded by the Croatian Science Foundation since December 2023. Previously, he led another project Limiting behavior of intermittent processes and diffusions funded by the University of Osijek (2019/2020). He has served on editorial boards including as Co-Editor of Croatian Operational Research Review and participated in organizing committees for several statistical conferences. As an educator, Grahovac teaches Probability (Winter semesters), Time Series Analysis, and Statistical Learning (Summer semesters). His teaching materials, primarily in Croatian, cover advanced statistical methods with practical implementations in R.

Anita Buhinمشاهده پروفایل

استادیار

• 20th Century Cultural History
• Socialist Popular Culture
• Mediterranean Influences
• +۳ مورد دیگر

Anita Buhin is a tenured Assistant Professor at the Department of History, Faculty of Philosophy, Juraj Dobrila University of Pula, and a postdoctoral fellow at Nova University in Lisbon. Her research focuses on 20th-century cultural and social history, emphasizing popular culture under socialism, Mediterranean influences, and Yugoslav cultural policy. She holds a PhD from the European University Institute (2019) with a dissertation on Mediterranean influences in Yugoslav popular culture. She has been affiliated with the Center for Cultural and Historical Research on Socialism since 2013, contributing to projects like Microsocialism and The Creation of a Socialist Man. Education: B.A. (2008), M.A. (2011) in History/Croatian Literature from Juraj Dobrila University; Central European University (2012); EUI Florence (2019). Research interests include Yugoslav popular music, self-management cultural policies, Adriatic cultural exchanges, and socialist-era sports history. She has organized conferences such as the IV Adriatic Meeting of History Students and co-edited works like *Continuities and Innovations* (2021). Active in academic societies including the Istrian Historical Society, she has produced historical TV programs and edited peer-reviewed publications. Her recent publications analyze Mediterranean cultural transfer, industrial self-management practices, and the interplay between ideology and entertainment in socialist Yugoslavia. Current work explores Yugoslav cultural diplomacy through music festivals and factory-based cultural initiatives.

Stjepan Sitoمشاهده پروفایل

استاد

• Precision agriculture in horticultural production
• Application of machines for pesticides and fertilizers
• Soil maintenance machinery performance
• +۳ مورد دیگر

Professor Stjepan Sito serves at the University of Zagreb's Faculty of Agriculture within the Department of Mechanization and Autonomous Systems in Agriculture. His office is located in the 4th Pavilion, ground floor, room 027, where he holds consultations every Tuesday from 10:00 AM to 12:00 PM. Fluent in Croatian, German, and English, he teaches multiple specialized courses including Modern Technique Application in Fruit and Grape Cultivation and Machine Development in Agriculture . His educational background includes a PhD (1995-1999), MSc (1989-1994), and BSc (1984-1989), all in Agricultural Engineering from the University of Zagreb's Faculty of Agriculture. His doctoral research focused on mechanized harvesting and processing of pumpkin seeds. Research interests center on precision agriculture implementation in horticulture, specialized machinery for pesticide/fertilizer application, soil maintenance equipment performance in permanent crops, and mechanical harvesting systems for fruits, vegetables, and medicinal plants. His work bridges theoretical engineering principles with practical agricultural applications, particularly in winery technology and sustainable crop production systems. Professor Sito has coordinated numerous research projects funded by Croatia's Ministry of Science (MZO), Agricultural Research Council (VIP), and the University of Zagreb. Key projects include biomass utilization for fruit drying, reduced soil fertility maintenance in orchards, and emission reduction in tractor engines. His international collaborations span institutions in Romania, Hungary, and Slovenia. Professional Activities: Regular participant in major agricultural exhibitions including Agritechnica (Hannover), SIMA (Paris), and regional events in Slovenia and Croatia since 2004 Professional Affiliation: Member of the European Society for Agricultural Engineers (EurAgEng) since 2006

Karlo Veličanمشاهده پروفایل

پژوهشگر

• Material Science
• Nanotechnology
• Photocatalysis
• +۳ مورد دیگر

Karlo Veličan is a Researcher affiliated with the Faculty of Physics at the University of Rijeka. He holds an M.Sc. in Physics (Solid state physics) from the Department of Physics, University of Rijeka (2018). His research focuses on material science, nanotechnology, and photocatalysis, with particular attention to thin films, atomic layer deposition (ALD), and the optimization of photocatalytic efficiency in materials like ZnO and TiO₂. His work explores substrate effects, doping strategies (e.g., copper doping), and surface functionalization to enhance material performance for applications in energy and environmental technologies. Key research trends in his publications include advancing photocatalytic properties through controlled synthesis methods, investigating temperature and light-dependent behaviors in semiconductor materials, and developing optomechanical sensors. These studies bridge fundamental material science with practical applications, emphasizing interdisciplinary approaches between physics, chemistry, and engineering. His technical expertise is supported by his role as a Technical Associate Expert at the Faculty of Physics, where he likely contributes to experimental setups, instrumentation, and collaborative research projects. While no awards or student advisements are explicitly cited, his active publication record suggests involvement in cutting-edge laboratory activities and potential contributions to academic teams within the Faculty's Divisions and Laboratories.

Mario Stipčevićمشاهده پروفایل

استاد

• Quantum optics
• Quantum information
• Quantum communication
• +۵ مورد دیگر

Mario Stipčević is a senior scientist at the Ruđer Bošković Institute (RBI) in Zagreb, Croatia, where he heads the Photonics and Quantum Optics Laboratory within the Division of Experimental Physics. Holding the Croatian rank of scientific advisor in permanent position —equivalent to full professor—he has led national and international research efforts spanning quantum optics, quantum-information science, and high-energy neutrino physics. Education 2011–2012: Visiting Specialization in Experimental Quantum Information, University of California, Santa Barbara, USA 2010–2011: Fulbright Scholar, Experimental Quantum Information, University of California, Santa Barbara, USA 1994: PhD in Particle Physics, Université de Savoie, Chambéry, France 1991: BSc in Theoretical Nuclear Physics, Faculty of Science, University of Zagreb Research Interests His work focuses on quantum communication , quantum randomness , single-photon detection , quantum key distribution , and quantum holography . Early in his career he contributed to neutrino oscillation experiments (NOMAD, OPERA) and calorimetry R&D for the LHC. Scientific Awards Fulbright Scholarship (2010–2011) Golden Medal ARCA 2005, Zagreb International Autumn Fair Golden Medal, Salon International de Inventions, Geneva 2005 Young Investigator Award, Ministry of Science and Technology, Croatia (1998) Projects & Leadership Since 2014 he has been Head of the Photonics and Quantum Optics Research Unit at the RBI Centre of Excellence for Advanced Materials and Sensing Devices. Earlier projects include the Croatian Ministry of Science grant Experiments in Quantum Communication and Quantum Information (2007–2014) and World-Bank-funded development of a Quantum Random Bit Generator (2004–2005). Laboratory & Teams At RBI he directs the Photonics and Quantum Optics Laboratory , a multi-disciplinary group developing photon-counting detectors, entangled-photon sources, and quantum-network testbeds. The lab participates in European initiatives such as the European Quantum Internet Alliance and the ESSnuSB neutrino super-beam design study .

Franko Šikićمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Retail Analytics
• +۳ مورد دیگر

Franko Šikić is a Researcher at the Department of Electronic Systems and Information Processing within the Faculty of Electrical Engineering and Computing (FER) at the University of Zagreb. His work bridges computer vision and practical retail applications, focusing on real-world problem solving through deep learning methodologies. His research concentrates on computer vision systems for retail environments and human-computer interaction, particularly in out-of-stock detection, price tag recognition, and gaze estimation. Key interests include applying convolutional neural networks to shelf monitoring challenges and developing attention-based architectures for unconstrained gaze prediction. Recent publications demonstrate a clear progression toward sophisticated retail analytics solutions, with increasing emphasis on multi-task learning for shelf image analysis. His 2025 gaze estimation work introduces novel cross-attention mechanisms, while retail publications consistently address practical constraints like variable lighting and occlusion in supermarket settings.

• Image Processing
• Computer Vision
• Pattern Recognition
• +۳ مورد دیگر

Zoran Kalafatić, an Associate Professor at the Faculty of Electrical Engineering and Computing, is actively involved in the Image Processing Group. His research spans multiple domains within image analysis and computational methods. Primary affiliations: Image Processing Group Academic rank: Associate Professor Research Focus: Dr. Kalafatić's work centers on advanced image processing techniques, including: Color constancy and visual perception Crater detection in astronomical imagery Application of Hough Transform methods Medical imaging databases (OCT image database) Pattern recognition in astronomical cross-matching Development of DRiDB image dataset Contact: Located in office D-343, reachable via +385 1 6129 998 or zoran.kalafatic@fer.hr .

• Astronomical cross-matching
• Color constancy
• Crater detection
• +۳ مورد دیگر

Tomislav Pribanić is an Associate Professor at the Faculty of Electrical Engineering and Computing (University of Zagreb) and a member of the Image Processing Group. His research focuses on specialized image analysis techniques and datasets. Research Areas: Astronomical cross-matching Color constancy Crater detection Hough Transform DRiDB image dataset OCT image database Contact: Office D135, Phone +385 1 6129 937, Email tomislav.pribanic@fer.hr

Kristina Mastanjevićمشاهده پروفایل

دانشیار

• Food Safety
• Analytical Chemistry
• Brewing Technology
• +۵ مورد دیگر

Kristina Mastanjević serves as an Associate Professor of Biotechnology at the University of Osijek's Faculty of Food Technology, Croatia. Her academic profile centers on food safety research within Biotechnical sciences, with student consultations held Mondays 9-11 AM in office 57/18 at Franje Kuhača 18, Osijek. She maintains active research engagement through publications in high-impact journals while teaching core food science disciplines. Her research program critically examines hazardous compounds in traditional Croatian food systems, specializing in polycyclic aromatic hydrocarbons (PAHs) in smoked meats (Slavonska slanina, Buđola) and malt, alongside mycotoxin contamination in brewing by-products. She pioneers analytical methodologies including GC-MS coupling with sensory analysis and computer vision systems for beer quality assessment. Additional focus areas encompass malting technology for alternative grains, brewing waste valorization, and temperature-dependent sensory properties of craft beer under Mediterranean conditions. Analysis of her 2020-2023 publications reveals consistent investigation of regional food safety challenges, particularly PAH formation mechanisms during traditional smoking processes and mycotoxin transfer through malting/brewing. Her work bridges analytical chemistry with practical food engineering solutions, addressing regulatory compliance gaps for contaminants in artisanal production while developing objective quality assessment tools through digital imaging. No scientific awards or honors were documented in the provided materials. The available information does not specify graduate student advisement activities, research grant acquisitions, laboratory facilities, or collaborative research teams associated with Dr. Mastanjević's work.