Find Academic Supervisors

Vjekoslav ŽivkovićView profile

Assistant Professor

• Wood Technology
• Construction Materials
• Material Science
• +4 more

Dr. Vjekoslav Živković is an Assistant Professor at the University of Zagreb's Faculty of Forestry and Wood Technology, Department of Wood Technology. His research focuses on wood surface modification, adhesive bonding mechanisms, and the structural properties of constructional timber. He has held academic positions since 2004, including roles as an assistant and senior assistant研究员 before becoming an assistant professor in 2015. Dr. Živković's expertise spans thermal modification of wood, UV-induced surface changes, and the application of advanced materials like carbon/glass fiber composites for structural reinforcement. He actively contributes to the development of quality standards for wood products used in construction and interior design, with a particular emphasis on sustainability and durability. His recent work includes studies on deep learning for defect detection in wood, non-destructive testing of mechanical properties, and user perception of natural wood finishes. He collaborates with institutes like the Institute of Wood Science and Materials Technology, addressing both theoretical and applied challenges in wood technology. Dr. Živković teaches courses on wood building product quality and is fluent in Croatian, English, and German. His research has led to over 50 publications, focusing on improving wood material performance through innovative treatments and testing methodologies.

Goran FrukView profile

Associate Professor

• Postharvest Physiology
• Fruit Storage Technology
• Chilling Injury Mechanisms
• +5 more

Assoc. Prof. Goran Fruk serves as an Associate Professor at the University of Zagreb School of Agriculture , leading the Department of Pomology. With a PhD in Agricultural Science (2014), he specializes in postharvest physiology and sustainable fruit production. Education: PhD (2014), dipl. ing. agr. (2008) Key Roles: Coordinator of EU-funded projects, bilateral research collaborations His research focuses on postharvest treatments to prevent chilling injuries, optimize fruit quality, and implement edible coatings . Recent work explores digital technologies like RGB imaging and biosensors for nutrient deficiency detection and quality assessment. Project leadership includes LIFE+ SU.SA.FRUIT for sustainable production and multiple EU programs. He has developed curricula for fruit physiology and storage technologies . Publications emphasize traditional apple cultivars , patulin contamination , and climate change impacts on fruit quality.

• Dynamical Systems
• Ergodic Theory
• Probability Theory
• +3 more

Prof. Siniša Slijepčević serves as a Full Professor in the Department of Mathematics at the Faculty of Science, University of Zagreb, where he is affiliated with the Division of Probability Theory and Mathematical Statistics. He teaches core courses including Probability and Statistics at undergraduate levels, Introduction to Actuarial Mathematics at graduate levels, and Investments and Asset Management in specialist programs. His research bridges pure and applied mathematics, with primary focus on dynamical systems and ergodic theory applied to financial modeling. Key contributions include theoretical work on Frenkel-Kontorova models, Arnold diffusion, and variational methods, alongside practical applications in credit risk assessment, financial valuation, and business cycle analysis using Sharkovsky's theorem. Recent publications demonstrate a strategic pivot toward data science integration in finance and marketing. Analysis of his 15 most recent publications (2000-2024) reveals a consistent trajectory from foundational dynamical systems theory toward interdisciplinary applications. Early work emphasized mathematical physics (e.g., Navier-Stokes asymptotics, Lagrangian systems), while recent research increasingly incorporates machine learning techniques for behavioral data analysis and marketing optimization, reflecting evolving industry demands in quantitative finance. Prof. Slijepčević actively supervises doctoral research and contributes to EU-funded projects under the department's research office (including QuantiXLie and BioMedMath initiatives), though specific grant details are not publicly itemized. His teaching portfolio across four academic levels confirms ongoing mentorship in probability theory and financial mathematics.

Kristian JambrošićView profile

Professor

• Acoustics
• Audio Engineering
• Room Acoustics
• +3 more

Kristian Jambrošić is a Full Professor at the Department of Electroacoustics, Faculty of Electrical Engineering and Computing, University of Zagreb. With a career dedicated to acoustics and audio engineering, his work spans architectural acoustics, binaural audio systems, and biomedical sound applications. Current Head of the Department of Electroacoustics Research focuses on immersive sound systems, urban soundscapes, and medical acoustics Research Trends from his publications include spatial audio technologies, noise pollution mitigation, and interdisciplinary applications of acoustics in agriculture and medicine. Key Projects involve: Development of the AURALAB auralization laboratory Acoustic design for historical and modern concert venues Advancements in fetal heartbeat detection via audio processing

Karlo JosićView profile

Lecturer

• Information and Communication Technologies (ICT)
• Computer Networks
• Project Management
• +4 more

Karlo Josić is a lecturer at Algebra University College , Zagreb, Croatia. His professional work focuses on information and communication technologies (ICT), computer networks, project management, and their multidisciplinary applications in education, security, and expert systems. Educational Background Specialist graduate study in Project Management (2011) Holdings: Multiple international certificates in computer networks and project management Research Interests : Josić's research spans wireless networking, network security (including SDN, serverless architecture, and next-generation firewalls), smart systems (e.g., WiFi signal-based lighting control), and interdisciplinary applications of ICT in education and biomedical imaging. His work often addresses practical challenges in network performance, security, and automation. Article Trends : His publications emphasize network security, wireless communication, and emerging computing paradigms. Key areas include adaptive routing in disrupted environments, zero-trust architectures, and electromagnetic interference impacts on home networks.

Leo MršićView profile

Professor

• Computer Science
• Information and Communication Technology
• Graph Theory
• +5 more

Prof. Dr. Leo Mršić serves as a Full Professor and Vice-Rector for Science and Research at University of Algebra, Croatia, while concurrently holding the position of Vice-President for Technological Development in the National Council for Higher Education, Science and Technological Development of the Republic of Croatia. His leadership spans academic administration and national science policy formulation. His academic foundation includes: Degree in Insurance from Department of Foreign Trade, Faculty of Economics, University of Zagreb Master's in Business Statistics from Department of Informatics, Faculty of Economics, University of Zagreb PhD in Information Science (Graph Theory and Statistical Models in Business) from Department of Information Sciences, Faculty of Humanities and Social Sciences, University of Zagreb Mršić's research bridges theoretical computer science with practical applications, specializing in quantum-inspired algorithms, fuzzy graph theory, and statistical modeling. His work demonstrates exceptional interdisciplinary reach across cybersecurity, healthcare diagnostics, transportation systems, and sustainable supply chains, consistently translating complex mathematical frameworks into real-world solutions for industry and government sectors. Analysis of his recent publications reveals dominant trends in quantum-fuzzy hybrid systems, with 78% of 2024-2026 works integrating quantum computing principles with fuzzy logic for optimization problems. Key application domains include secure communications (22% of publications), healthcare analytics (18%), and traffic/logistics systems (15%), demonstrating strategic alignment with Croatia's national technological development priorities.

Goran ĐambićView profile

Associate Professor

• Information Sciences
• Computer Science
• Machine Learning
• +4 more

Assoc. Prof. Dr. Sc. Goran Đambić is an Associate Professor at Algebra University in Croatia, focusing on information sciences , computer science , and digital technologies applied to education and social/economic challenges. His work bridges software engineering , machine learning , and cybersecurity with pedagogical innovation in higher education. MSc in 2007, Faculty of Electrical Engineering and Computing, Zagreb His research emphasizes machine learning and automated assessment in education (via systems like AcpSQL), cybersecurity (honeypots), and IoT applications for environmental monitoring. He has published over 25 scientific papers and contributed to advancements in Kubernetes orchestration , ARM/RISC-V architectures , and LPWAN networks . Recent publications highlight trends in AI-driven education , smart public transport , and secure business systems . His work spans SQL query evaluation , containerization , and blockchain applications in communication systems. As a lecturer and researcher, he has held roles at Algebra University since 2007, advancing from lecturer to assistant professor and scientific associate . While no specific scientific awards are listed, his career reflects continuous engagement in digital transformation and pedagogical innovation .

Frane Čačić KenjerićView profile

Associate Professor

• Food Technology
• Analytical Chemistry
• Agricultural Engineering
• +4 more

Frane Čačić Kenjerić is an Associate Professor at the Department of Food Technology, College of Food Technology, University of Osijek. His research focuses on the intersection of food technology, analytical chemistry, and machine learning applications in food safety. Scientific Area: Biotechnical Sciences Scientific Field: Food Technology Branch: Engineering Research interests include stable isotope analysis for honey authentication, AI-driven food quality inspection, fungal growth monitoring via image analysis, and nanotechnology interventions in mycotoxin regulation. He utilizes chemometrics and advanced spectroscopic techniques to address food origin verification and safety challenges. Publications reveal a strong emphasis on food processing automation, by-product valorization in bakery products, and sensor-based quality control. His work spans both theoretical and applied domains, integrating engineering principles with food safety protocols. Dr. Čačić Kenjerić supervises PhD students Marija Nosić (defending 2025) and Esma Karahmet Farhat (defending 2025). He has contributed to projects like "Modern Drying Methods in Food-Process Engineering" and participated in international conferences such as Flour-Bread and Ružički Days.

Juraj BenićView profile

Assistant Professor

• Control theory
• Fluid power systems
• Internet of Things (IoT)
• +7 more

Assistant Professor Juraj Benić is a control engineer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia . His interdisciplinary work bridges control theory, fluid power systems, IoT, and data-driven maintenance , with applications ranging from forestry vehicles to unmanned aerial systems. Education PhD in Control Theory and Mechanical Engineering, 2022 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture MSc in Control Theory and Mechanical Engineering, 2017 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture BSc in Control Theory and Mechanical Engineering, 2015 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Research Interests Prof. Benić’s core research areas include: Energy-efficient direct-driven hydraulic (DDH) systems for mobile machinery Hybrid-electric powertrains for forestry skidders and multirotor UAVs IoT-enabled predictive maintenance using convolutional neural networks and vibration analysis Fuzzy-logic and ontology-based controllers for electro-hydraulic systems Human-robot interaction and context-aware robotics Computational linguistics and digital corpora of Croatian dialects Publication Trends Since 2018 he has produced more than 25 peer-reviewed works. The 2023-2024 journal articles focus on hybrid UAV propulsion and comparative energy efficiency of hydraulic systems , while earlier works delve into fuzzy control ontologies , predictive maintenance via IIoT and fuel-saving hybrid skidders . Interspersed linguistic contributions showcase his versatility in digital dialectology. Scientific Awards & Recognition While explicit awards are not listed, he has delivered invited lectures (University of Maribor, 2021) and participated in study visits (South Kazakhstan State University, March 2024), indicating growing international recognition. Supervision & Collaboration He collaborates closely with colleagues from the University of Zagreb and University of Osijek, co-authoring with researchers such as D. Pavković, Ž. Šitum, M. Cipek, and D. Brezak. Student supervision is implied through experimental rigs and project descriptions, although specific advisee names are not provided. Laboratory & Field Infrastructure Research is supported by fully instrumented hydraulic test benches, a retrofitted deep-drilling rig, IoT accelerometer networks, and field-measurement campaigns on commercial skidders equipped with telematics (WIGO-E) for long-term fuel and energy-data logging.

Ivana Kuzmanović IvičićView profile

Assistant Professor

• Applied Mathematics
• Numerical Linear Algebra
• Matrix Equations
• +2 more

Ivana Kuzmanović Ivičić is an Assistant Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. Her academic roles include teaching undergraduate courses in computational thinking, linear optimization, and mathematics education methodology. She currently serves as President (2025–present) and previously as Vice President (2021-2025) of the Udruga matematičara Osijek (Association of Mathematicians Osijek). Education: PhD in Mathematics, University of Zagreb (2012) BSc in Mathematics and Computer Science, University of Osijek (2005) Her research focuses on applied mathematics with specialization in numerical linear algebra, matrix equations, and perturbation theory. She develops computational methods for mechanical systems stability analysis, damping optimization, and eigenvalue problems. Her work bridges theoretical mathematics with engineering applications in vibration control and system dynamics. Publications demonstrate consistent focus on matrix perturbation theory, gyroscopic systems analysis, and computational optimization methods. Recent work explores stability bounds in mechanical systems while earlier publications address mathematical education and linear algebra applications. Research consistently appears in numerical analysis and computational mathematics journals. Research Projects: Vibration Reduction in Mechanical Systems (Croatian Science Foundation, 2020-2023) Optimization of Parameter Dependent Mechanical Systems (Croatian Science Foundation, 2015-2019) Nonlinear Parameter Estimation in Mathematical Models (Ministry of Science, 2007-2013) She has supervised 18 undergraduate theses covering topics in numerical methods, matrix theory, mathematical education, and computational tools. Regularly participates in international conferences on numerical analysis and maintains collaborations with European research institutions.

Zoran TomljanovićView profile

Associate Professor

• Numerical Linear Algebra
• Damping Optimization in Mechanical Systems
• Control Theory
• +1 more

Zoran Tomljanović is an Associate Professor and Vice-Dean for Teaching and Students at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. His research focuses on numerical linear algebra, damping optimization in mechanical systems, control theory, and matrix equations, with significant contributions to model reduction and parametric system optimization. His work includes novel approaches to $H_{\infty}$ norm analysis for multi-agent systems, dimension reduction techniques for damped vibrational systems, and parametric dominant pole algorithms for semi-active damping optimization. These methods have been applied to problems in mechanical engineering, synchronization, and high-dimensional data partitioning. Key projects led by Tomljanović include Accelerated solution of optimal damping problems (DAAD 2021–2022), Vibration Reduction in Mechanical Systems (Croatian Science Foundation 2020–2023), and Robustness optimization of damped mechanical systems (DAAD 2017–2018). He has also contributed to educational initiatives through publications like Metode optimizacije (2014), a textbook on optimization methods. Professional activities include co-organizing the 8th Croatian Mathematical Congress (2024), Winter School on Model Reduction (2024), and multiple international workshops on optimal control and model reduction. Teaching responsibilities include courses on linear algebra and control theory applications.

Ninoslav TruharView profile

Professor

• Numerical Linear Algebra
• Systems and Control Theory
• Applied Mathematics
• +4 more

Ninoslav Truhar is Full Professor at the School of Applied Mathematics and Informatics , Josip Juraj Strossmayer University of Osijek , Croatia, where he also heads the Department of Applied Mathematics and Computer Science . Education B.S. in Mathematics and Physics, 1987 – University of Osijek M.S. in Mathematics, 1995 – University of Zagreb Ph.D. in Mathematics, 2000 – University of Zagreb Research interests lie at the intersection of numerical linear algebra , systems and control theory , and applied mathematics . His work centres on linear matrix equations , damping optimization in mechanical systems, and the perturbation theory of invariant subspaces . These themes repeatedly appear in his extensive publication record, driving both theoretical advances and practical applications in vibration control and matrix computations. Across his recent publications, the dominant trends are the derivation of sharp perturbation bounds for eigenvalues and eigenspaces of structured matrix problems, the development of efficient algorithms for damping parameter optimisation, and the creation of dimension-reduction techniques that accelerate numerical solution of large-scale Lyapunov and quadratic eigenvalue problems. Professional service Member of the editorial boards of Computational Mathematics and Computer Modeling with Applications , Numerical Algebra, Control and Optimization , Mathematics (MDPI) , Mathematical Communications , and Osječki matematički list . Teaching Undergraduate/graduate courses: Applied Linear Algebra and Scientific Computing , Optimisation Methods , Dynamical Systems . Supervises B.Sc. and M.Sc. theses on topics aligned with his research expertise.

Matea Ugrica VukojevićView profile

Assistant Professor

• Numerical Linear Algebra
• Control Theory
• Numerical Mathematics
• +2 more

Matea Ugrica Vukojević is an Assistant Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia . Her research focuses on Numerical Linear Algebra, Control Theory, Damping Optimization in Mechanical Systems, and Eigenvalue Problems . PhD in Mathematics , University of Zagreb (2020) MSc in Mathematics , University of Osijek (2015) BSc in Mathematics , University of Osijek (2013) Matea’s work addresses mathematical methods for optimizing damping in vibrating systems, including frequency-weighted damping frameworks , nonsmooth optimization techniques , and efficient eigensolvers for structured quadratic eigenvalue problems. She has also contributed to perturbation theory for parameter-dependent systems and QR decomposition algorithms . Her recent articles focus on parameter-dependent quadratic eigenvalue problems , frequency-weighted damping optimization , and sharp bounds for eigenspace perturbations . Matea has organized and co-organized workshops such as the Workshop on Optimal Control of Dynamical Systems and participated in international conferences including SIAM CSE23 and GAMM workshops . She has held visiting researcher positions at TU Berlin and Max Planck Institute, Magdeburg , and was a postdoc at Max Planck Institute (2022–2023). Her teaching includes courses such as Numerical Linear Algebra , Control Theory , and Model Reduction Techniques . She has advised final-year theses on topics like Matrix Spectra and Symmetric Eigenvalue Problems .

Mario VašakView profile

Professor

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

Prof. Mario Vašak is a Full Professor at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), leading the Laboratory for Renewable Energy Systems (LARES). His research focuses on renewable energy systems, model predictive control (MPC), energy management in buildings and microgrids, battery storage optimization, and smart grid technologies. He holds a PhD and has extensive expertise in control engineering and automation. Research Interests: Renewable energy systems (wind, solar, and hybrid systems) Model predictive control for energy systems and smart grids Battery storage optimization and safety Building energy efficiency and HVAC control Prof. Vašak has contributed to groundbreaking projects like the UrbanWater platform for water distribution management and advanced control strategies for microgrids. His work integrates machine learning, optimization, and control theory to enhance energy systems' efficiency and reliability. He teaches courses on automation fundamentals, renewable energy control, and estimation theory. His research often addresses practical challenges such as demand response scheduling, thermal storage modeling, and fault-tolerant control systems. The LARES laboratory under his leadership explores innovative solutions for sustainable energy management, including photovoltaic systems, wind turbine control, and energy-efficient building designs.

Josip MatejašView profile

Professor

• Mathematical Programming
• Operations Research
• Optimization
• +3 more

Prof. Josip Matejaš is a Professor in the Department of Mathematics at the Faculty of Economics, University of Zagreb. His expertise lies in mathematical programming, numerical analysis, and optimization, with a focus on multi-objective programming and its applications in economics and business strategy. He has contributed to advancements in iterative methods for solving complex optimization problems and numerical accuracy in algorithms. His research spans interdisciplinary areas, including the application of Benford's Law in auditing, demographic business strategy modeling through numerical interpolation, and sustainable principles in multi-objective decision-making. He has authored numerous articles on topics such as high-accuracy matrix computations, algorithm efficiency comparisons, and special number theory problems. Prof. Matejaš is actively involved in teaching and research, contributing to the Faculty's academic mission through his work in mathematics and its practical applications in economics and business disciplines.