جستجوی استاد راهنمای دانشگاهی

Tomislav Šmuc serves as Head of the Division of Electronics and Research Professor at Zagreb's Ruđer Bošković Institute, leading the Laboratory for Machine Learning and Knowledge Representation. Previously, he taught Machine Learning at the University of Zagreb's Faculty of Science (2010-2021) while maintaining his primary research affiliation. His educational background includes a PhD (1994), MSc (1991), and BSc (1986) in Electrical Engineering from the University of Zagreb. Research interests span machine learning, data science, computational biology, and complex systems, with emphasis on redescription mining, network analysis, and biomedical applications. Current projects include EU-funded initiatives SUSA, Ai4Health.Cro, MAESTRA, and MultiPlex focused on healthcare AI and data science. His publication portfolio shows strong continuity in bioinformatics and machine learning, with recent work emphasizing multi-view data integration, drug discovery, and network analysis. The 15 most recent articles demonstrate consistent output across top journals like Nature Communications and Scientific Reports, with growing emphasis on translational biomedical applications. As academic advisor, he has mentored four doctoral students including Fran Supek and Matija Piškorec. His research is supported through multiple EU grants including FP7 projects MAESTRA and MultiPlex, and current DIGITAL EU initiatives Ai4Health.Cro and SUSA. The Laboratory for Machine Learning and Knowledge Representation under his leadership focuses on developing novel algorithms for complex data analysis, with applications spanning computational biology, healthcare informatics, and network science, maintaining active collaborations across European research institutions.

• Machine Learning
• Data Science
• Computational Biology
• +۴ مورد دیگر

Lucija Blašković serves as Assistant Professor at the Department of Information Science and Mathematics within the Faculty of Agriculture, University of Zagreb. She has maintained continuous affiliation with the university since 2003, progressing from Assistant to Postdoctoral Researcher (2015) and currently holding her assistant professorship since 2017. Her office is located in the 5th Pavilion, 3rd floor, room 65, with consultations held Wednesdays 11am-1pm. Her academic credentials include: PhD in Information and Communication Sciences from Faculty of Humanities and Social Sciences, University of Zagreb Master of Economics (mag. oecc) in Information Management from Faculty of Economics, University of Zagreb Master of Economics in Marketing from Faculty of Economics, University of Zagreb Dr. Blašković specializes in digital transformation of agricultural systems , with core expertise in E-business implementation , E-learning pedagogy , and information systems quality assurance . Her research bridges computational methodologies with agricultural education, examining data literacy frameworks, influencer marketing efficacy for agricultural products, and machine learning applications in farming systems. Analysis of her 15 most recent publications (2024-2015) reveals three dominant research trajectories: (1) Pandemic-driven digital adaptation in agricultural education and consumer behavior, (2) Computational methods (K-means, CNNs) for educational and agricultural data analysis, and (3) Strategic implementation of e-learning systems in agricultural higher education. Her work consistently applies technical solutions to domain-specific agricultural challenges. She has secured research leadership through competitive grants: "Mjesto i uloga informatike u razvitku poljodjelskih sustava: primjer Hrvatske" (2017-2019, MZOS-funded) as Project Coordinator "Mogućnosti i oblici primjene optimiziranja proizvodnje na obiteljskim poljoprivrednim gospodarstvima" (2017, University of Zagreb-funded) as Project Coordinator Her teaching portfolio spans communications systems, agricultural information systems, AutoCAD drafting, and e-commerce, reflecting her interdisciplinary approach to agricultural informatics education.

• E-business
• E-learning
• Information Systems Quality and Assurance
• +۳ مورد دیگر

Franka Grubišić is a Lecturer at Algebra Bernays University , with a focus on Computer Science , Geospatial Science , and Design . She holds a specialist undergraduate degree in Multimedia Computing (2019) and a graduate degree in Computer and Systems Sciences from Stockholm University (2023). Her work bridges creative and technical domains, including public transport systems, resilient societies, and humanitarian technology. Education: Specialist in Multimedia Computing (2019), Graduate in Computer and Systems Sciences (2023) Fields of Interest: Computer Science, Design, Sustainable Development, Geospatial Science Her research emphasizes geodesign , spatial data infrastructure , and human-centered technology , with applications in public services, crisis management, and smart cities. Recent publications highlight biomimetic geodesign , value mapping tools , and augmented reality cartography . She has received multiple Dean's awards , Rector's awards , and international recognitions. Her business consulting focuses on service design , user experience , and technical system optimization .

• Computer Science
• Design
• Public Transport Systems
• +۳ مورد دیگر

Domagoj Ševerdija is an Assistant Professor at the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek, where he leads the Computer Science and Machine Learning Research Group. He holds a PhD in Electrical Engineering (2013) and a dual BS in Mathematics and Computer Science (2007) from the University of Osijek. His research spans computational linguistics, natural language processing, machine learning, and combinatorial optimization, with applications in bioinformatics, robotics, and energy systems. Recent work focuses on neural language models, domain adaptation techniques, and efficient algorithm design. Publications show strong interdisciplinary trends: computational linguistics (Croatian morphology, sentence embeddings), bioinformatics (cell typing, RNA splicing), and algorithm optimization (terrain guarding, matrix operations). Recent papers emphasize knowledge distillation, domain adaptation, and compressed representations. Awards: Best paper award in AIS - Artificial Intelligence Systems track (MIPRO 2023) Research funding includes: Computer-Assisted Corpus Linguistics (UNIOS, 2019-2020) Croatian Identity Network Framework (Adris Foundation, 2020-2021) Croatian Language in Global Cloud (Adris Foundation, 2019-2020) Leads the Computer Science and Machine Learning Research Group, coordinating projects in NLP, computational geometry, and AI applications.

• Combinatorial Optimization
• Computational Linguistics
• Natural Language Processing
• +۴ مورد دیگر

Josip Lončar is an Assistant Professor at the Department of Radio Communications, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on high-frequency electronics, stability analysis of networks with non-Foster elements, and active/passive metasurfaces. He holds a PhD from the University of Zagreb (2017) and has collaborated with institutions such as the Radiation Laboratory at the University of Michigan and Fuzhou University. He teaches courses including 'Innovative Electromagnetic Systems' and 'Microwave Electronics'. Lončar has received awards including the Rektorova nagrada for biomedical engineering work and an Osijek City Scholarship (2009–2013). His research projects include 'Optical Communication Systems with Extended Resonant Gaps' (HRZZ-funded), 'Non-Foster Source-Load Networks' (EOARD-funded), and 'Metamaterial Structures for Electromagnetic Energy Guidance' (UKF-funded). He has contributed to advancements in CubeSat antenna design, attitude control systems, and active metasurface applications. Lončar’s work bridges theoretical electromagnetic analysis with practical implementations in aerospace and biomedical engineering.

• High-Frequency Electronics
• Metasurfaces
• Non-Foster Elements
• +۵ مورد دیگر

Assoc. Prof. Franjo Pehar is an Associate Professor at the Department of Information Sciences and Technologies, University of Zadar. His research focuses on scientific communication, bibliometrics, information systems, and human-computer interaction with a particular emphasis on user experience (UX) and usability. He leads projects like OPERAS-PLUS and ILO, emphasizing user-centered methodologies in digital publishing and information literacy. His work bridges quantitative research analysis and practical applications in educational and corporate digital transformation. Key research interests include bibliometric analysis of Croatian scientific fields, UX questionnaire validation, and digital publishing standards. He has contributed to multilingual MOOC development and studies on Croatian companies' readiness for digital transformation. Prof. Pehar's publications span eye-tracking studies for visual attention in digital interfaces, cross-cultural UX adaptations, and frameworks for quality objectives in scholarly communication. His projects OPERAS-PLUS and 2CODE aim to enhance cross-border digital ecosystems and business environments. He serves as a mentor in the Doctoral Studies program and maintains active collaborations with academic and industry partners. His lab focuses on advancing digital tools for libraries, publishers, and educators through innovative research and practical implementation.

• Scientific Communication and Publishing
• Bibliometrics
• Scientometrics
• +۷ مورد دیگر

Damir Malnar is a Senior Lecturer at Veleri College (Veleri-OI), specializing in Telecommunications and Electronics. He teaches courses such as Automation in Building Construction, Mobile Communication, Embedded Computer Systems, and IoT-related disciplines. His research focuses on advanced signal processing techniques, hydroacoustic signal analysis, FPGA-embedded systems, and real-time algorithm implementation. He has contributed to the development of the Veleri-OI IoT School's educational platforms and pioneered methods for optimizing time-frequency distributions in noisy environments. Malnar's academic work emphasizes practical applications of theoretical concepts, including FPGA-based genetic algorithms for antenna array recovery and real-time embedded systems. His recent efforts integrate IoT technologies into educational tools, exemplified by the Veleri-OI Meteo System. He maintains active involvement in both theoretical research and hands-on engineering projects, bridging the gap between academic instruction and industry-relevant solutions. Key technical areas include signal decomposition, noise analysis, and adaptive systems. His work often intersects with marine acoustics and environmental monitoring, reflecting a multidisciplinary approach to telecommunications engineering.

• Signal Processing
• Telecommunications
• Embedded Systems
• +۳ مورد دیگر

Krešimir Fertalj is a Full Professor at the Department of Applied Computing, Faculty of Electrical Engineering and Computing, University of Zagreb. His work focuses on software development, project management, and data integration architectures. Research areas include ERP systems, agile methodologies, and hybrid wireless networks in maritime environments Developed tools for workflow modeling, business process automation, and mobile application frameworks Contributed to projects like Flora Croatica Database, CROFlora 2.0, and institutional GIS systems Teaching responsibilities cover structured programming techniques (UML), web service development, and software reliability analysis. Contact: Office D-369, Work 01 6129-918, Home 418

• Software Engineering
• Information Systems
• Project Management
• +۶ 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 .

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

Assoc. Prof. Ivana Pajač Živković is an Associate Professor at the Faculty of Agriculture, University of Zagreb , specializing in Agricultural Entomology at the Division for Phytomedicine. Her research focuses on integrated fruit and grape protection , molecular identification of pests , and invasive arthropod dynamics , with expertise in Cydia pomonella genetics and geometric morphometrics . Education: Doctor of Science (2009-2012), Faculty of Agriculture, University of Zagreb Master Engineer of Phytomedicine (2001-2007), Faculty of Agriculture, University of Zagreb Her publications emphasize technology-driven pest monitoring (e.g., machine learning, hyperspectral imaging) and biological control strategies for invasive species like Halyomorpha halys and Cydalima perspectalis . Recent work explores caffeine-based biopesticides and wing morphometric tracking for population spread analysis. Professional activities include editorial roles at Agriculturae Conspectus Scientificus (2021-) and Entomologia Croatica (2011-2016). She has coordinated projects on pesticide resistance monitoring and invasive species management , funded by Croatian Science Foundation and EU programs.

• Agricultural Entomology
• Integrated Fruit and Grape Protection
• Taxonomic Identification
• +۶ 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.

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

Davor Runje is a lecturer at Algebra University with extensive industry experience as a software engineer, computer scientist, and serial entrepreneur. He has co-founded multiple technology ventures including AIRT (an AI startup), DRAP (a digital agency acquired by Imago Ogilvy in 2018), and PlayMedia Systems (1997), which became a global leader in AMP MP3 playback technology. His research interests span artificial intelligence, theoretical computer science, parallel and distributed computing, and cryptography. Runje has made significant contributions to programming for multiprocessor/multicore systems, with work that later became the Task Parallel Library in the .NET framework during his time at Microsoft Research. His publication portfolio shows a clear evolution from theoretical computer science and concurrency research (2003-2009) toward machine learning and AI (2019-2025), with particular focus on neural networks, model interpretability, and security aspects of large language models. His recent work demonstrates expertise in constrained monotonic neural networks, attention mechanisms for tabular time-series, and vulnerabilities in large language models. His notable achievements include: Microsoft Research SSCLI and Phoenix 2005 awards Two US patents 20 publications in theoretical computer science and artificial intelligence Chairing the Croatian Independent Software Exporters board (2020-2024) As an active industry leader, Runje has participated in numerous legal and tax reform initiatives aimed at increasing the competitiveness of the Croatian IT sector in global markets, representing approximately one-third of the Croatian IT industry through his leadership role.

• Artificial Intelligence
• Theoretical Computer Science
• Software Engineering
• +۴ مورد دیگر

Dr. Ivica Vilibić is a Senior Scientist with tenure at the Ruđer Bošković Institute (RBI), affiliated with the Division for Marine and Environmental Research and the Laboratory for Physical Oceanography and Chemistry of Aquatic Systems . His research focuses on Adriatic Sea dynamics, climate impacts, and coastal hazards. Education: B.Sc. in Meteorology, University of Zagreb (1994) M.Sc. in Physical Oceanography, University of Zagreb (1998) Ph.D. in Physical Oceanography, University of Zagreb (2002) Research Interests: Sea-level variability, meteotsunamis, regional climate modeling, marine biogeosciences, and stochastic approaches in geophysics. His work integrates field observations with high-resolution numerical models to study climate change impacts on coastal systems. Publication Trends: Recent articles (2022-2025) emphasize climate projection modeling, extreme event analysis, and Adriatic ecosystem dynamics, utilizing advanced statistical and computational methods to address coastal vulnerability. Awards: National Young Scientist Award (1999) Ferruccio Mosetti Prize, Honorable Mention (2002) National Scientist Award (2012) Projects & Leadership: Principal Investigator for Croatian/EU projects (e.g., GLOMETS, AdriaClimPlus), coordinating research on climate adaptation and meteotsunami early-warning systems. Leads interdisciplinary teams at RBI's oceanography laboratory.

• Physical Oceanography
• Climate Modelling
• Natural Hazards
• +۵ مورد دیگر

Associate Professor Vinko Lešić is affiliated with the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), specifically within the Department of Control and Computer Engineering. His research focuses on advanced control systems, smart grids, renewable energy integration, IoT applications in agriculture, and optimization algorithms. Notable projects include predictive climate control systems for buildings, precision pest detection using hyperspectral imaging, and energy-efficient street lighting solutions. He has contributed to over 50 peer-reviewed articles and led initiatives like the AgroSPARC project for climate-resilient agriculture. His work bridges theoretical control theory with practical applications in smart cities and sustainable energy systems. Research interests span Model Predictive Control (MPC), distributed energy management, and machine learning integration with industrial automation. He collaborates on EU-funded projects addressing climate change impacts on agriculture and urban infrastructure. Teaching responsibilities include courses on automation fundamentals and process control, emphasizing hands-on IoT and PLC implementations. Current activities include developing zone climate control living labs and resilient energy management systems for buildings and microgrids. Publications highlight innovations such as coalitional MPC for building zones, data-driven thermal modeling, and adaptive battery charging for electric vehicles. He advises projects on renewable energy integration and has pioneered sensor-based systems for crop health monitoring. Though no formal awards are listed, his extensive publication record and industry collaborations reflect his academic and applied contributions.

• Model Predictive Control
• Smart Grids
• Renewable Energy Systems
• +۵ مورد دیگر

Hrvoje Novak is a Leading Researcher at the Department of Control and Computer Engineering, University of Zagreb Faculty of Electrical Engineering and Computing. His work focuses on interdisciplinary research spanning energy systems optimization, precision agriculture, and advanced control methodologies. He has contributed to innovative solutions in predictive control for building energy management, railway traction systems, and water treatment infrastructure. His research integrates machine learning, IoT, and remote sensing technologies to address challenges in smart grids, crop health monitoring, and insect pest management. Key research areas include: Predictive control strategies for energy-efficient systems Machine learning applications in agricultural pest detection Data-driven modeling of urban traffic and infrastructure IoT-based plant development modeling systems Optimization of railway traction and energy storage systems His publications emphasize practical implementations such as hierarchical building energy management, flight mill analysis for invasive species, and grey-box modeling of water treatment plants. Novak collaborates across academic and industrial sectors to advance sustainable technologies.

• Control Systems
• Machine Learning
• Energy Management
• +۶ مورد دیگر