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Igor S. PandžićView profile

Professor

• Computer Vision
• Virtual Humans
• Facial Animation
• +7 more

Prof. Dr. Igor S. Pandžić is a Full Professor at the Department of Telecommunications , Faculty of Electrical Engineering and Computing (FER) , University of Zagreb . He is also affiliated with the Center of Excellence for Computer Vision , actively contributing to research in computer graphics, virtual humans, and interactive systems. Education: While specific degrees are not listed in the provided text, his title "prof. dr. sc." (Croatian for Full Professor with a Doctor of Science degree) indicates he has completed doctoral studies and achieved the highest academic rank. Research Interests: Virtual Humans & Avatars: Creation, animation, and behavioral modeling of lifelike virtual characters for interactive applications. Facial Animation & Biometrics: Real-time speech-driven facial animation, facial expression recognition, age/gender estimation, and biometric data filtering. 3D Graphics & Virtual Environments: Real-time rendering, networked collaborative virtual environments (e.g., VLNET), and 3D visualization on mobile/web platforms. Human-Computer Interaction: Multimodal interfaces combining speech, gesture, and facial cues for embodied conversational agents (ECAs). Computer Vision: Face alignment, landmark detection, pattern recognition with decision trees, and efficient algorithms for mobile deployment. Research Trends from Publications: His recent work (2022-2023) emphasizes efficiency in computer vision (e.g., fast face alignment, memory-efficient models), unsupervised learning for biometric data quality improvement, and real-time applications on mobile devices. Earlier foundational work spans MPEG-4 facial animation standards, networked virtual environments, and virtual human frameworks. Scientific Awards: No specific awards are mentioned in the provided text. Advising & Grants: While individual students are not named, his extensive publication record and leadership in research centers imply active supervision of PhD and Master's students. Grant details are not specified. Labs & Teams: He leads or heavily contributes to the Center of Excellence for Computer Vision at FER, fostering interdisciplinary collaboration in visual computing and AI.

• E-business
• E-learning
• Information Systems Quality and Assurance
• +3 more

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.

Domagoj ŠeverdijaView profile

Assistant Professor

• Combinatorial Optimization
• Computational Linguistics
• Natural Language Processing
• +4 more

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.

• High-Frequency Electronics
• Metasurfaces
• Non-Foster Elements
• +5 more

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.

• Signal Processing
• Telecommunications
• Embedded Systems
• +3 more

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.

Helena Sablić TomićView profile

Professor

• Croatian Literature
• Autobiographical Prose
• Literary Criticism
• +4 more

Helena Sablić Tomić is Full Professor and Dean of the Academy of Arts and Culture in Osijek since 2006, and an Academician in the Department of Literature of the Croatian Academy of Sciences and Arts (elected 2024). She serves as Croatia's first Creative Europe Desk ambassador (2018) and contributes to Croatian Radio's 1st Program and Forum magazine. Her academic foundation includes: Graduation from Osijek's Faculty of Pedagogy Master's degree (1997) from Zagreb's Faculty of Philosophy with thesis Short Stories of the 1990s - the Library and Authors of the Quorum Magazine Doctoral dissertation (2001) Models of Contemporary Croatian Autobiographical Prose Professor Sablić Tomić's research pioneers Croatian literary studies through interdisciplinary exploration of autobiographical prose, Slavonian regional identity, and women's literary expression. Her work bridges intimate personal narratives with broader cultural frameworks, examining how space, gender, and historical context shape literary production. Key contributions include developing methodologies for analyzing regional literary traditions and feminist reinterpretations of Balkan cultural heritage. Her 20+ publications reveal consistent thematic evolution from early analyses of 1990s short stories toward comprehensive studies of Osijek's cultural geography and transnational Balkan narratives. Recent works demonstrate sophisticated integration of spatial theory with literary analysis, particularly in examining urban environments and riverine cultural landscapes. Her accolades include: Josip and Ivan Kozarac Award (twice) Fran Galović Award for Regional Literature Seal of Osijek City for Culture Julije Benešić Literary-Critical Award Mediteran Academy Award for Literary Opus Administrative leadership includes presidency of Matica hrvatska Osijek (2003-2007), editorial roles at Kolo (1998-2009) and Forum (2022-present), and screenplay authorship for cultural documentaries featuring prominent Croatian artists. Her radio program Kutiju slova extends scholarly discourse to public audiences. Embedded in Osijek's cultural ecosystem, her work intersects with the Croatian Academy of Sciences and Arts and European cultural networks through Creative Europe, shaping regional literary preservation and cross-border artistic collaboration.

Ina ErcegView profile

Researcher

• Nanomaterials
• Biomaterials
• Physical Chemistry
• +3 more

Ina Erceg is a Researcher at the Laboratory for Biocolloids and Surface Chemistry, Division of Physical Chemistry, Ruder Boskovic Institute. She holds a PhD in Chemistry (2022) and Master's (2017) from the University of Zagreb, focusing on biomimetic synthesis of calcium phosphate/titanate nanocomposites. PhD, University of Zagreb (2022) Master's, University of Zagreb (2017) Bachelor's, University of Zagreb (2015) Her research spans biomimetic nanocomposite synthesis for biomedical applications, radiation dosimetry using fortuitous dosimeters (e.g., salted crackers), and nanoparticle-protein interactions. Journal articles highlight innovations in metal-doped ZnO coatings, superhydrophobic underwater protection, and antioxidant delivery systems. Scientific collaborations include NATO SPS Project "BioPhyMeTRE" for radiological emergency triage methods. She has contributed to 15+ peer-reviewed publications since 2018, focusing on calcium phosphate biomineralization, TiO2 nanomaterials, and surface chemistry mechanisms. Laboratory for Biocolloids and Surface Chemistry NATO SPS Project "BioPhyMeTRE" Interdisciplinary work with European institutions Conference presentations at ECIS, Croatian Microscopy Congress, and EMC2024 demonstrate her expertise in colloidal synthesis, XPS analysis, and EPR radiation studies. Current work explores antibacterial coatings, nanotoxicology, and advanced dosimetry techniques.

Jadranko MatuškoView profile

Professor

• Control Systems
• Mechatronics
• Predictive Control
• +12 more

Jadranko Matuško is a Full Professor at the Department of Electric Machines, Drives and Automation, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on control systems, mechatronics, and predictive control, with applications in electric drives, robotics, and vehicle dynamics. Research Areas: Control systems, mechatronics, predictive control, electric drives, automation, robotics, nonlinear control, state estimation, embedded systems, and neural networks in control applications. Scientific Contributions: His work spans projects like field-oriented control of brushless DC motors, global vision systems for UAVs, inverted pendulum laboratory designs, and model predictive control algorithms for grid-tied power converters. Notable applications include self-stabilizing urban vehicles via gyroscopic effects and tire/road friction estimation for automotive control systems. Teaching & Projects: He has developed laboratory setups (e.g., ball and plate systems), human-machine interfaces, and control invariant frameworks. His publications emphasize dynamic reconfiguration, sensorless control, and Kalman filter-based state estimation. Awards & Honors: No specific scientific awards mentioned in the provided texts. Collaborations & Tools: Utilizes MATLAB, FPGA, Arduino/PcDuino, and Tensor Product Transformation for control design. Engaged in projects related to microgrid control, smart water metering, and cyber-physical production systems.

Romeo ŠajinaView profile

Lecturer

• Computer Science
• Artificial Intelligence
• Machine Learning
• +3 more

Romeo Šajina is a Lecturer at the Faculty of Informatics in Pula, Croatia, affiliated with the University of Pula . His work focuses on computer science, machine learning, and applied informatics, with publications in areas such as neural networks, time series forecasting, and image processing. University: University of Pula School: Faculty of Informatics His research spans disciplines like Artificial Intelligence , Data Science , and Imaging Technology , emphasizing practical applications in time series modeling and computer vision. Recent publications highlight advancements in deep learning architectures and hybrid data analysis techniques. Articles demonstrate expertise in Neural Networks , Predictive Analytics , and Computer Vision , often published in IEEE and Journal of Imaging . Collaborations with researchers like Marina Ivašić-Kos and Nikola Tanković appear in multiple works. No scientific awards or student advisement details are documented in the provided materials. Further inquiries may be directed via email at romeo.sajina@unipu.hr .

Sven LončarićView profile

Professor

• Computer Vision
• Image Processing
• Medical Imaging
• +5 more

Academician Professor Sven Lončarić serves as a Full Professor in the Department of Electronic Systems and Information Processing at the Faculty of Electrical Engineering and Computing, University of Zagreb. With his office located in room D-119 and contactable via phone at 6129-891, he maintains an active presence in both teaching and research activities within the institution. His work bridges theoretical computer science with practical applications across multiple domains. Professor Lončarić's research spans computer vision, image processing, and deep learning with significant contributions to medical imaging, particularly in retinal analysis using optical coherence tomography. His work in color constancy and illumination estimation has advanced techniques for handling multi-illuminant scenes, while his research in ultrasound image analysis has practical applications in non-destructive testing. He also explores computer security aspects of machine learning models, particularly in backdoor detection and removal. His recent publications demonstrate a strong trend toward applying deep learning techniques to solve complex problems in medical imaging, retail automation, and industrial applications. The concentration of work in retinal imaging and color constancy shows his commitment to advancing computer vision fundamentals while simultaneously addressing practical challenges in healthcare and industry. His research increasingly incorporates anomaly detection methods and robust security practices for machine learning systems. Professor Lončarić actively contributes to the academic community through organizing events like the Croatian Computer Vision Workshop and the First Croatian Symposium on Artificial Intelligence, providing platforms for knowledge exchange in his fields of expertise. His work on astronomical data processing demonstrates the versatility of his methodological approaches across diverse scientific domains. Within the Department of Electronic Systems and Information Processing, he participates in the Center of Excellence for Computer Vision, contributing to the institution's research profile in artificial intelligence and computer vision. His work on medical imaging applications connects the faculty with healthcare institutions, facilitating interdisciplinary collaborations that translate technical advances into medical practice.

Frédéric Nicolas Gilles ChauxView profile

Researcher

• Marine Biogeochemistry
• Atmospheric Biogeochemistry
• Environmental Science
• +2 more

Frédéric Nicolas Gilles Chaux serves as a Research associate at the Ruđer Bošković Institute in Zagreb, Croatia, where he is embedded within the Division for Marine and Environmental Research and specifically contributes to the Laboratory for marine and atmospheric biogeochemistry. His institutional affiliation centers on advancing scientific understanding of marine and atmospheric systems through rigorous biogeochemical analysis. His research expertise spans marine and atmospheric biogeochemistry, with emphasis on chemical cycling, ecosystem dynamics, and environmental change processes. This work integrates field observations and laboratory analyses to investigate how biological, geological, and chemical factors interact in oceanic and atmospheric systems, particularly regarding carbon fluxes and nutrient cycles critical to climate regulation. As a core member of the Laboratory for marine and atmospheric biogeochemistry, Dr. Chaux collaborates on interdisciplinary projects examining ocean-atmosphere exchanges, biogeochemical feedback loops in climate systems, and anthropogenic impacts on marine ecosystems. The laboratory maintains specialized facilities for analyzing trace gases, particulate matter, and biogeochemical markers to support national and international environmental research initiatives.

Josip ŽilakView profile

Researcher

• Semiconductor Devices
• Integrated Circuits
• Microelectronics
• +3 more

Josip Žilak is a Post-Doctoral Researcher at the Faculty of Electrical Engineering and Computing (FER), University of Zagreb. He holds a Diploma Engineer (2009) and Ph.D. (2017) in electrical engineering from FER. Since April 2010, he has worked as a junior FPGA engineer at Xylon d.o.o., focusing on embedded systems based on FPGA technology. Since June 2011, he has been a Research and Teaching Assistant at FER's Department of Electronics, Microelectronics, Computer and Intelligent Systems. His research centers on advanced bipolar transistor structures, particularly the Horizontal Current Bipolar Transistor (HCBT), involving simulations, integrated circuit design, and testing environment setup for HCBT verification. Žilak has authored/co-authored 4 peer-reviewed journal articles, over 15 conference papers, and multiple technical reports for institutions like Asahi Kasei Microdevices, Delft University of Technology, and Laser Components DG. He is an active member of IEEE Electron Devices Society (EDS) and IEEE Solid-State Circuits Society (SSCS). His work contributes to semiconductor device innovation and solid-state electronics.

Anita LamprechtView profile

Lecturer

• AI Governance
• Digital Transformation
• Internet Governance
• +8 more

Anita Lamprecht is an international lawyer, AI governance expert, and legal researcher based in Geneva. Affiliated with DiploFoundation , she contributes to the Digital Watch Observatory and teaches at the DiploAI Campus on topics like futures literacy , UN 2.0 , and governance applications of emerging technologies. As a consultant and facilitator of AI capacity-building programs, she bridges law and technology through custom AI agents, legal chatbots, and immersive learning experiences for international organizations. Focus on digital transformation's legal dimensions Specializes in AI, digital twins, and metaverse governance Emphasizes ethical alignment with institutional mandates Her research spans AI governance, internet governance, access to justice through technology, and the intersection of digital policy with international law. Notably, she explores how digital twins and virtual environments can reshape urban planning, legal systems, and global development frameworks. Recent publications analyze metaverse governance, AI's implications for diplomacy, and mathematical foundations of AI governance. She advocates for humAInism —a human-centric approach to AI integration in institutional settings. Anita also develops apprenticeship-style AI learning programs to equip professionals with technical and ethical competencies for the AI era.

• Computer Science
• Information Technology
• Programming
• +3 more

Jurica Đurić is an academic and professional specialist in Information Technology, affiliated with Edward Bernays Polytechnic and the College of Information Technologies in Zagreb. He holds roles as Lecturer, and has served as Vice-Dean for Development and Economy, Head of Undergraduate Professional Study of Information Technologies, and Head of the Department of Computer Systems and Networks. His expertise spans programming, smart technologies, and educational technology. Education: Professional Specialist Information Technology Engineer (2010), Technical University of Zagreb Professional study in Computer Science (2008), University Study Center for Professional Studies of the University of Split Research & Teaching: Đurić focuses on applied technologies including Arduino-based systems, smart lighting (ETER.IO), and remote testing applications (Cheatless). He has conducted workshops for high school students on microcomputers and participated in academic integrity conferences. His teaching spans programming, computer systems, and lab exercises since 2007. Awards & Projects: Recipient of Gold and Bronze medals at ARCA Innovation Fair Developed projects like Cheatless testing app, smart battery charger, and ETER.IO intelligent lighting system Leadership & Grants: Managed academic programs and institutional development roles. Collaborated with industry through projects like Beta Tau Beta's web applications and ANDRITZ Digital Factory. Labs/Teams: Involved in educational technology initiatives and smart systems development through his academic and corporate roles.

• Combinatorics
• Graph Theory
• Coding Theory
• +3 more

Dr. Daniel Hawtin is a Professor at the Faculty of Mathematics, University of Rijeka. His research focuses on algebraic combinatorics, graph theory, and coding theory with emphasis on group actions, symmetry properties of graphs, and combinatorial designs. He leads the UNIRI YOUNG SCIENTISTS PROJECT titled 'Neighbour-transitive codes in graphs' (2022), and previously contributed to 'Codes, groups and combinatorial structures' (2018). His work spans theoretical aspects of coding theory, distance-regular graphs, and algebraic approaches to combinatorial problems. Research Interests: Algebraic symmetry in codes and graphs 2-arc-transitive graphs and Cayley graphs Combinatorial designs (q-Steiner systems, subspace designs) Error-correcting codes with transitive automorphism groups Finite geometry applications in coding theory Publications Trends: Recent work emphasizes neighbour-transitive codes in Kneser graphs (2024), edge-affine graph constructions (2024), and non-existence proofs in combinatorial designs (2022). His research bridges abstract algebra with combinatorial structures, often using group theory to analyze graph symmetries and code properties. Grants & Projects: Principal Investigator for UNIRI Young Scientists Project (2022) and collaborator in multiple combinatorial research initiatives. Active in international collaborations with experts like Cheryl Praeger and Jin-Xin Zhou.