Find Academic Supervisors

• Cybersecurity
• Artificial Intelligence in Education
• Information Systems Security
• +3 more

Dr. Bernard Vukelić is a Professor of Professional Studies at Veleučilište u Zagrebu (Collegium Carolinum), specializing in cybersecurity, AI applications in education, and information systems security. He holds a Doctorate in Sociology (Dr. Sc.) and focuses on topics like digital transformation, phishing detection, and lifelong learning strategies. His research bridges theoretical frameworks with practical applications in office automation, web application security, and AI-driven solutions for educational assessment. Education: PhD in Sociology (Dr. Sc.) His research interests include: Cybersecurity measures for critical infrastructure AI ethics and implementation in higher education Automated office processes using ChatGPT Phishing attack recognition and mitigation Content management system vulnerabilities Indoor positioning system analysis Recent Research Trends: His work from 2024 emphasizes AI's role in office automation and cybersecurity resilience, while 2023 papers address AI-driven examination proctoring and phishing detection methodologies. Earlier studies explored backend web frameworks and biometric algorithms. He teaches courses like Tools for Digitalization of Business and Security of Information Systems , reflecting his practical focus on industry-relevant technical skills.

Tomislav SedlarView profile

Associate Professor

• Wood Technology
• Non-destructive Testing
• Mechanical Properties of Wood
• +4 more

Tomislav Sedlar is an associate professor at the Faculty of Forestry and Wood Technology, University of Zagreb, located at pavilion IV, room 142. He holds a PhD and has served in academic roles since 2009, progressing from assistant to his current rank. His work focuses on wood technology, material science, and non-destructive testing of wood properties. He teaches courses in special wood products and communicates in Croatian and English, with consultations available Tuesdays 10-11 AM. Professional Experience: 2024–current: Associate Professor 2019–2024: Assistant Professor 2015–2019: Postdoctorate 2009–current: Faculty of Forestry and Wood Technology, University of Zagreb Research interests include wood mechanical properties, composite reinforcement, defect detection via deep learning, and the application of novel testing methods. His work bridges traditional wood science with modern materials engineering, emphasizing sustainability and structural preservation of historical timber structures. Publications span over 15 years, with recent trends in assessing wood durability through steam treatment, fiber implant efficacy, and non-destructive evaluation techniques. His studies often explore juvenile/mature wood transitions and environmental impacts on material properties. No scientific awards are explicitly listed, though his extensive publication record reflects significant contributions. He advises no listed students but collaborates on interdisciplinary projects through the Faculty's institutes, including the Institute of Wood Science and the Institute for Materials Technology. Labs/Teams: Active in multiple university institutes focusing on wood technology, materials science, and forest engineering. His research often involves cross-departmental collaborations on cultural heritage preservation and sustainable forestry practices.

• Applied Mathematics
• Partial Differential Equations
• Numerical Mathematics
• +4 more

Andrej Novak is an Associate Professor at the Theoretical Physics Department , Faculty of Science, University of Zagreb. He holds a PhD in Mathematical Models of Flow in Porous and Mixed Media (2017) and a Master's in Mathematical Model of Piano String (2011), both from University of Zagreb. Research Interests span: (1) Partial Differential Equations & Mathematical Modeling, (2) Numerical Solutions of PDEs, (3) Data Analysis Algorithms (bioinformatics/medical applications). Current focus includes shock filter equations, medical image processing, and cardiovascular pharmacotherapy modeling. Key Projects include leading the 2024 HRZZ-funded 'From PDEs to Deep Learning: Advancing Medical Image Processing' and contributing to projects like 'Analysis of partial differential equations and shape optimization' (HRZZ, 2023). He has participated in international collaborations including Austrian-funded 'Vanishing Capillarity on Smooth Manifolds' (2019). Teaching responsibilities include courses like Computational Neuroscience, Introduction to Computer Science, and Numerical Mathematics. He advises on C++ programming, AI fundamentals, and mathematical modeling across undergraduate and graduate levels. Publications highlight contributions in journals like Archive for Rational Mechanics and Analysis (2024), Applied Soft Computing (2025), and Canadian Journal of Cardiology (2025), focusing on interdisciplinary applications of PDEs, machine learning in healthcare, and image processing techniques.

• Plant Pathology
• Mycology
• Fungal Taxonomy
• +3 more

Katarina Martinko, PhD, is a Postdoctoral Student in the Division for Phytomedicine at the Department of Plant Pathology, Faculty of Agriculture, University of Zagreb. With active involvement since 2016, her work focuses on fungal diagnostics, biocontrol agents, and antimicrobial compound applications. Current affiliation: Faculty of Agriculture, University of Zagreb Teaching: Osnove biljne patologije , Štetni organizmi energetskih kultura Consultation hours: Fridays 12-14 Research Focus: Mycology, plant pathology, and ecological farming applications. Key areas include: Fungal taxonomy and diagnostic methods Antifungal activity of natural and synthetic compounds Biopolymer-based delivery systems for plant protection Essential oils as biopesticides Entomopathogenic fungi for plant disease control Publication Trends (2025-2023): Recent work emphasizes boric acid derivatives for pathogen control, Trichoderma-based biocontrol, and nanotechnology applications in crop protection. Over 60% of her publications focus on fungal inhibition mechanisms and sustainable alternatives to conventional pesticides. Collaborations: Engaged in interdisciplinary projects combining microbiology, materials science, and agricultural engineering.

Darija KorkutView profile

Senior Lecturer

• Analytical Methods
• Game Theory
• Social Network Analysis (SNA)
• +4 more

Darija Korkut is a Senior Lecturer at Effectus University of Applied Sciences, specializing in Finance and Law. With a background in English Studies and a Master's degree from the University of Zagreb, she is currently pursuing a Ph.D. in the Information Society program at the Faculty of Information Studies in Novo Mesto, Slovenia. Education: Faculty of Humanities and Social Sciences (University of Zagreb, English Studies), Ph.D. candidate in Information Society (Faculty of Information Studies). Experience: 10 years at the Ministry of Foreign and European Affairs, 10-year internship at the Ministry of the Interior, and current teaching roles at Effectus University. Her research focuses on analytical methods , game theory , social network analysis (SNA) , and creativity in business environments . Recent publications explore AI perception, intelligence analysis techniques, and applications of SNA in counterterrorism. She has authored seven books and taught at NATO/US EUCOM workshops. Her scientific expertise spans from cognitive modeling to business intelligence, with a strong emphasis on structured analytical techniques and critical thinking. The 2025 article on AI perception in Croatia and 2022 works on security operations highlight her interdisciplinary approach combining technology, psychology, and management. Teaching Contributions: Undergraduate/graduate courses: Leadership Techniques, Knowledge and Innovation Management, Analytical Management, Critical Thinking International certification programs in analytical techniques Publications: Editor and author of "Economic Analysis of International Terrorism"; focus on creativity (4.0), game theory applications, and data science in telecommunications.

Lea Skorin-KapovView profile

Professor

• Quality of Experience (QoE)
• Multimedia Systems
• Telecommunications Networks
• +6 more

Lea Skorin-Kapov is a Full Professor in the Department of Telecommunications at the University of Zagreb Faculty of Electrical Engineering and Computing. Her research focuses on Quality of Experience (QoE), multimedia systems, and telecommunications networks. She leads the MUEXLab research group, which addresses challenges in QoE management, network resource allocation, and user-centric system design. Her work spans topics like video streaming optimization, cloud gaming performance, and energy-efficient network solutions. Notable contributions include frameworks for encrypted video monitoring and best practices for QoE fairness in shared systems. She has authored over 50 peer-reviewed publications and received two Best Paper Awards for innovative work in VR gaming and drone control simulations. Current research emphasizes QoE sustainability in 6G networks and wildfire resource scheduling. Collaborations involve institutions like TU Dortmund and industry partners in telecommunications. Lea actively participates in IEEE standards committees and serves on editorial boards for journals like the International Journal of Human-Computer Interaction .

Mato BaotićView profile

Professor

• Control Systems
• Model Predictive Control
• Renewable Energy Systems
• +5 more

Prof. Mato Baotić is a Full Professor and Head of the Department of Control and Computer Engineering at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER). His research focuses on advanced control systems, model predictive control (MPC), renewable energy systems, and power engineering. He leads projects in distributed power systems, microgrid control, wind turbine optimization, and mechatronics. His work integrates theoretical advancements with practical applications in energy efficiency, robotics, and smart grids. Key research areas include MPC for wind turbines, grid reconfiguration, and omnidirectional mechatronic systems. He has contributed to the LARES laboratory for renewable energy systems and collaborates on international projects like DYMASOS and MICROGRID. His publications span control algorithms, grid optimization, and energy storage solutions. Prof. Baotić teaches courses on control systems synthesis, predictive control, and automatic control. He advises numerous research initiatives and oversees labs developing systems for energy and robotics applications.

• Robotics
• Control Systems
• Machine Learning
• +3 more

Vesna Krajči is a Senior Lecturer at the Velesna ElectroTechnical College Rijeka, specializing in Electrical Engineering. She teaches courses such as Electronic components and assemblies, Elements of Telematics, Fundamentals of Electrical Engineering, and Computer Control of Complex Systems. Her research focuses on robotics, control systems, and automation, with notable contributions to topics like homomorphic cryptography in machine learning, autonomous robot navigation, and medical robotics for autism therapy. She has also explored variable-structure control methods, nonlinear control algorithms, and embedded systems design. Her academic career includes over two decades of research, with publications ranging from trajectory tracking optimization (2006) to recent advancements in telematics and healthcare robotics (2022–2024). She has developed practical systems like the KNX HMI prototype and Arduino-based assistive robots. Her work emphasizes interdisciplinary applications, bridging theoretical control methodologies with real-world engineering challenges. Vesna Krajči’s research trends highlight a progression from foundational robotics control (e.g., variable-structure methods in the 2000s) to modern applications in AI security and medical robotics. Her recent articles (2022–2024) underscore a shift toward integrating machine learning with robotics for healthcare and autonomous systems. No scientific awards are explicitly mentioned, though her extensive publication record reflects sustained academic engagement. In advising and grants, no formal records are provided, but her course offerings suggest involvement in student projects related to telematics, robotics, and embedded systems. She maintains a focus on practical education, as seen in courses like Project in Telematics and Systems for Managing Production Processes .

Ivan PetrovićView profile

Professor

• Control Systems
• Robotics
• Computer Vision
• +3 more

Ivan Petrović is a Full Professor at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on advanced control systems, mobile robotics, computer vision, and estimation theory, with significant contributions to autonomous navigation, path planning, and sensor fusion techniques. Specializations in robotics , SLAM , visual odometry , and nonlinear control systems . Recent work includes transformer-based gesture recognition pipelines, uncertainty-aware calibration methods, and reinforcement learning approaches for soft robotic control. His projects integrate probabilistic models, deep learning, and geometric algorithms for real-time autonomous systems. For collaboration or further information, contact: ivan.petrovic@fer.unizg.hr

Damir ŽarkoView profile

Professor

• Electrical Engineering
• Electromagnetic Design
• Motor Optimization
• +3 more

Prof. Damir Žarko is a Full Professor at the Department of Electric Machines, Drives and Automation, Faculty of Electrical Engineering and Computing (University of Zagreb). His work focuses on advanced electromagnetic modeling, optimization of electric machines, and industrial applications including traction motors, transformers, and renewable energy systems.

Zdenko KovačićView profile

Researcher

• Robotics
• Intelligent Control Systems
• Autonomous Systems
• +7 more

Zdenko Kovačić is a Research Associate at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. He founded the Laboratory for Robotics and Intelligent Control Systems (LARICS) , focusing on advanced robotics and control systems research. Robotics in viticulture and mariculture Autonomous mobile manipulators and UAVs Human-robot interaction for therapy and diagnostics SLAM and 3D data processing for navigation Fuzzy and adaptive control algorithms

Željko BanView profile

Professor

• Renewable Energy Systems
• Energy Storage
• Control Algorithms
• +5 more

Željko Ban is a Full Professor at the Department of Control and Computer Engineering, University of Zagreb, Faculty of Electrical Engineering and Computing. He is affiliated with the LARES (Laboratory for Renewable Energy Sources) , focusing on energy flow optimization, power electronics, and adaptive control systems. Research areas include microgrid optimization, regenerative braking energy management, hybrid energy storage systems, and fuel cell modeling. Professional memberships involve work on control algorithms for electric drives, renewable energy integration, and robotics applications in demining. His work spans modeling and control of DC/DC converters, energy efficiency improvements in rail vehicles, and solar irradiance prediction for photovoltaic systems. While no specific awards or student advisement details are listed, his contributions to energy storage and control systems are evident through numerous research projects and publications.

Drago ŽagarView profile

Professor

• Communication Networks and Protocols
• Codes and Coding
• Quality of Service in Networks
• +7 more

Drago Žagar is a Full Professor at the Faculty of Electrical Engineering, Computer Science and Information Technologies (FERIT), University of Osijek, where he also serves as Head of Department. He has been permanently appointed since 2015 and has a long-standing affiliation with the institution since 1990, with brief periods at other units within the same university. His educational background includes a B.Eng. (1990), M.Sc. (1995), and Ph.D. (2002), all from the Faculty of Electrical Engineering and Computing in Zagreb. His research spans key areas in modern networking and information systems, including communication networks and protocols , quality of service , cybersecurity , and IoT applications in agriculture and logistics . His recent work emphasizes energy-efficient monitoring, anomaly detection using machine learning, smart labels for supply chains, and adaptive video streaming. The 15 most recent publications reflect a strong trend in applying sensor networks and data analytics to real-world problems in agriculture, network security, and multimedia systems. The interdisciplinary nature of his work bridges computer networks, industrial informatics, and smart technologies. He has led significant projects such as Smart Label for Measuring and Monitoring Product Storage , IoT Ecosystems for Agriculture , and Boosting Telecommunications Engineering Education under Erasmus+. He also managed national and EU-funded initiatives focused on broadband access in rural areas and IPv6 security. He has mentored numerous students and authored key educational materials, including laboratory manuals in computer networks and electronics. His teaching includes courses on Computer and Mobile Networks and Computer Systems Security . He is actively engaged in research, with publications in journals such as Sensors , Electronics , Journal of Industrial Information Integration , and Telecommunications Systems . His work is indexed in Google Scholar, Scopus, Web of Science, and CRORIS.

• Educational Technology
• Programming Education
• ICT in Education
• +5 more

Ana Babić is a Lecturer at the Department of Classroom Teaching within the Faculty of Educational Sciences at the University of Primorska. Her work focuses on integrating technology into education, particularly in programming education for primary and secondary schools, and exploring the adoption of emerging technologies like AI chatbots and educational robotics. She teaches Sciences Teaching Methodology II and has published extensively on topics including the MEMA programming method, digital competencies in education, and hybrid learning environments. Her research interests span educational technology adoption, teacher training for new technologies, and the design of curricula that incorporate computational thinking and robotics. Recent studies have examined Croatian teachers' attitudes toward tools like ChatGPT, humanoid robots, and version control systems in educational contexts. Her work often bridges theoretical frameworks (e.g., Technology Acceptance Model) with practical classroom applications. While no specific grants or awards are listed, her prolific output indicates active engagement in educational innovation.

Mario BožićView profile

Professor

• Forest Measurement
• Forest Growth Modelling
• Dendrochronology
• +3 more

Mario Božić is a Full Professor at the University of Zagreb's Faculty of Forestry and Wood Technology since 2017. His career spans over 25 years with prior roles including Associate Professor (2009-2017), Assistant Professor (2006-2009), and various research positions since 1995. He specializes in forest measurement techniques, growth modeling, and silvicultural practices. His research emphasizes stand dynamics, ecological impacts on tree growth, and innovative data collection methods using technology. Prof. Božić's work combines field methodologies with computational tools, exemplified by developing the SIMPLAG software for even-aged stand projections. His studies on silver fir and pedunculate oak address climate change effects, pest impacts, and historical growth trends. He actively researches private forest management challenges and promotes precision forestry through smartphone applications like MOTI for tree height measurement. His professional experience includes leading research in Croatian Dinaric forests, focusing on mixed fir-beech ecosystems and their management under varying intensities. He contributes to national forest inventories and has advised on protected forest units like Belevine. Teaching responsibilities include dendrochronology, with courses taught in Croatian, German, and English.