Find Academic Supervisors

• Linear and Multilinear Singular Integrals
• Real Harmonic/Fourier Analysis
• Differential Operators
• +6 more

Professor Vjekoslav Kovac is a full professor at the Department of Mathematics, Faculty of Science, University of Zagreb. He holds a PhD from UCLA (2011) under Christoph Thiele and was a Fulbright Scholar at Georgia Tech (2019-20). His research spans harmonic analysis, singular integrals, combinatorics, and number theory, with a focus on Fourier restriction problems and Erdős-type conjectures. Kovac leads the HRZZ-funded 'Fourier Analysis and Applications' grant (2023-2027) and has previously directed projects like 'Multilinear Harmonic Analysis' (2018-2023). Education: PhD, UCLA (2011); MSc, University of Zagreb (2006) Research Interests: Singular integrals, real harmonic analysis, geometric measure theory, additive combinatorics, ergodic theory He is renowned for solving longstanding open problems, including Erdős conjectures on unit fractions and irrationality. Kovac has authored/co-authored over 40 publications and mentored multiple PhD and diploma students. His awards include the Croatian National Science Award (2023) and the Brdo Award (2025 nomination). Teaching roles include courses on mathematical analysis, Fourier analysis, and competition mathematics. Grants: Current FANAP (HRZZ), Previous MUNHANAP (HRZZ), MZO/DAAD grants Media Highlights: Coverage in 'What's New' (Tao), 'TotalCroatia', and Croatian TV for resolving 40-year-old mathematical problems

Jovica V. MilanovićView profile

Professor

• Power Systems Engineering
• Probabilistic Modelling
• Power System Dynamics
• +4 more

Professor Jovica V. Milanović serves as Professor of Electrical Power Engineering at the University of Manchester, internationally recognized for transformative contributions to power systems engineering. Elected Fellow of the Royal Academy of Engineering (FREng) in 2025, his work bridges academic research and industrial applications across UK power networks. His research pioneers probabilistic modeling of power system dynamics to address critical uncertainties in generation, demand, and network topology. Key advancements include distributed voltage control strategies and load modeling innovations that significantly improved peak demand management. These contributions directly shape modern power grid resilience and operational standards. Professor Milanović holds leadership positions in IEEE task forces and CIGRE working groups, driving international standards development. He maintains senior advisory roles throughout the electrical power industry, translating research into practical grid management solutions. Scientific Awards Fellow of the Royal Academy of Engineering (FREng), 2025

Mario BukalView profile

Assistant Professor

• Partial Differential Equations (PDEs)
• Fluid Dynamics
• Nonlinear Systems
• +3 more

Dr. Mario Bukal is an Assistant Professor at the University of Zagreb’s Faculty of Electrical Engineering and Computing, Department of Applied Mathematics. He specializes in Partial Differential Equations (PDEs), particularly evolution equations and systems, with current involvement in the Croatian Science Foundation-funded project Mathematical Analysis of Multi-Physics Problems Involving Thin and Composite Structures and Fluids (MAMPITCoStruFl) . His research focuses on fluid-structure interaction, nonlinear systems, and mathematical modeling. He has taught courses in Mathematics, Probability & Statistics, and Stochastic Processes at both undergraduate and PhD levels, including roles at Vienna University of Technology. Education & Positions: Holds a PhD and has taught at multiple institutions, including TU Wien. Research Interests: Nonlinear PDEs, fluid dynamics, quantum mechanics, and applied mathematical analysis. His recent publications emphasize rigorous derivation of reduced models for complex systems, entropy analysis in quantum diffusion, and numerical schemes for fourth/sixth-order equations. Bukal actively contributes to seminars and conferences on nonlinear analysis and differential equations.

Marina NinčevićView profile

Senior Lecturer

• Probability Theory
• Dynamic Systems
• Mathematical Optimization
• +1 more

Marina Ninčević is a Senior Lecturer at the Faculty of Agriculture, University of Zagreb, where she has been employed since 2016. She previously held positions as a Scientific Fellow and Postdoctoral Associate at the University of Zagreb and the University of Split. She holds a PhD in Mathematics and a degree in Mathematics Engineering from the Faculty of Science, University of Zagreb. Current Role: Senior Lecturer in Mathematics and Informatics Education: PhD in Mathematics (2004–2012), Math Engineer (1999–2004) Teaching: Courses in Mathematics for agronomy and engineering students Her research focuses on Probability Theory and Dynamic Systems , with applications in mathematical optimization and statistical analysis. Recent publications emphasize educational tools, statistical tasks using R programming, and theoretical contributions to exponential sums and van der Corput sequences. Marina has coordinated projects such as Pripremne radnje za projekt primjene optimizacije proizvodnje obiteljskih poljoprivrednih gospodarstava , supported by the University of Zagreb. Her scientific contributions include fellowships at the University of Zagreb and Split.

• Probability Theory
• Mathematical Statistics
• Financial Mathematics
• +1 more

Vanja Wagner serves as an Assistant Professor in the Department of Mathematics at the Faculty of Science, University of Zagreb, where she is affiliated with the Division of Probability Theory and Mathematical Statistics. Her academic responsibilities span undergraduate, graduate, and integrated educational programs within the department. Her research focuses on core theoretical and applied mathematical domains: Probability Theory: Stochastic processes and foundational probabilistic frameworks Mathematical Statistics: Statistical inference and data analysis methodologies Financial Mathematics: Quantitative modeling of financial systems Measure Theory: Advanced integration techniques and set functions Dr. Wagner teaches multiple courses including Measure and Integration (undergraduate and graduate levels), Statistics, and Financial Modelling, consistently serving as lecturer in charge. Her instructional portfolio demonstrates deep engagement with both theoretical and applied mathematics curricula. No scientific awards are documented in the available institutional records. Details regarding student supervision, research grants, or laboratory affiliations are not specified in the current departmental documentation.

Marina SertićView profile

Lecturer

• Mathematics
• Applied Mathematics
• Probability Theory
• +3 more

Marina Sertić holds a Master's degree in Mathematics ( mag.math. ) and is affiliated with the Faculty of Economics & Business at the University of Zagreb . She serves as a Lecturer in the Mathematics Faculty, offering office hours for student consultations and teaching courses related to mathematical applications in economics and business contexts. Her research interests span quantum algebra, stochastic processes, and functional analysis, as evidenced by her publications on twisted Yangians in quantum vertex algebras and Harnack inequalities for stable Levy processes. Her work intersects pure mathematics with economic modeling, particularly in probabilistic and theoretical frameworks. While no specific scientific awards or formal education details are listed in the scraped text, her publications suggest expertise in advanced mathematical structures and their applications. She maintains direct student engagement through office hours and course instruction, with contact information publicly available.

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

• Probability Theory
• Mathematical Statistics

Bruno Predojević serves as a Researcher in the Division of Probability Theory and Mathematical Statistics at the Department of Mathematics, Faculty of Science, University of Zagreb. His work supports the department's academic mission across undergraduate, graduate, and doctoral programs in mathematics. His research concentrates on foundational and applied aspects of: Probability Theory: stochastic processes, limit theorems, and probabilistic modeling Mathematical Statistics: statistical inference, estimation theory, and hypothesis testing frameworks Contact is available via email at bruno.predojevic@math.hr or through the department's main switchboard (+385 1 4606 000) using internal extension 5835.

Domagoj MatijevićView profile

Associate Professor

• Machine Learning
• Optimization
• Bioinformatics
• +5 more

Domagoj Matijević is an Associate Professor at the School of Applied Mathematics and Informatics within Josip Juraj Strossmayer University of Osijek . His academic career spans computational geometry, optimization algorithms, and bioinformatics applications. PhD in Computer Science (Algorithms and Complexity), Max-Planck-Institute for Computer Science, Saarbrücken (2007) MS in Computer Science, Saarland University (2002) BS in Mathematics and Computer Science, University of Osijek (2001) Research interests focus on Machine Learning , Computational Geometry , and Bioinformatics , particularly through software tools like Fortuna for RNA splicing analysis and Trajan for comparing single-cell trajectories. His work bridges theoretical computer science with practical implementations in C++ , Python , and CUDA for high-dimensional data processing. 2023 Best Paper Award at MIPRO's Artificial Intelligence Systems track Key contributor to Neural Network-Based Pollen Prediction and Well-Separated Pair Decomposition implementations Developed Trajan for dynamic pseudotime warping and Fortuna for novel splicing event detection Currently teaches Algorithm Complexity , Computational Geometry , and Embedded Systems . Past projects include NVIDIA-funded GPU implementations and German-Croatian collaborations on kinetic spanners.

• Condensed Matter Physics
• Statistical Physics
• Theoretical Physics

Miha Gunde serves as a Researcher at the Ruđer Bošković Institute in Zagreb, Croatia, operating within the Division of Theoretical Physics and the specialized Laboratory of Condensed Matter and Statistical Physics. This laboratory focuses on advanced theoretical and computational investigations into material behaviors and statistical methodologies in physical systems. His research centers on Condensed Matter Physics, examining solid and liquid phase properties, alongside Statistical Physics for probabilistic modeling of complex phenomena, and Theoretical Physics for foundational mathematical frameworks. These interconnected disciplines drive his contributions to understanding emergent properties in quantum and classical systems. Based at the Laboratory of Condensed Matter and Statistical Physics, Dr. Gunde collaborates within a dedicated research team advancing cutting-edge studies in phase transitions, quantum materials, and non-equilibrium dynamics, leveraging the institute's resources for high-impact theoretical exploration.

Ante MimicaView profile

Assistant Professor

• Probabilistic Potential Theory
• Stochastic Processes
• Probability Theory
• +5 more

Ante Mimica (20.1.1981–9.6.2016) was an Assistant Professor at the Department of Mathematics, Faculty of Science, University of Zagreb. He completed his PhD in 2009 with a thesis on Harnack inequalities for Lévy processes and held a postdoc position at Bielefeld University (2011–2012). His research focused on probabilistic potential theory, including Harnack inequalities, jump processes, and heat kernel estimates. He contributed to studies on Lévy processes, subordinate Brownian motions, and nonlocal operators. Mimica received the 2013 Faculty of Science Award and lectured on stochastic processes, financial modeling, and advanced probability. He engaged in visiting research at institutions worldwide and authored numerous influential papers. His legacy includes rigorous mathematical work despite health challenges. Education: B.Sc. (2003), Ph.D. (2009) in Mathematics, University of Zagreb. Research: Specialized in stochastic processes, particularly Lévy processes and their applications. Key contributions involved Harnack inequalities, heat kernel analysis, and probabilistic potential theory. Collaborations included international co-authors like Panki Kim and Renming Song. Awards: Faculty of Science Award (2013). Teaching: Taught courses such as Random Processes, Financial Modeling 1 & 2, and Advanced Probability. Active in mentoring and curriculum development.

Stjepan ŠebekView profile

Assistant Professor

• Probability Theory
• Stochastic Processes
• Applied Mathematics
• +4 more

Stjepan Šebek is an Assistant Professor at the Department of Applied Mathematics, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on stochastic processes, probability theory, and combinatorial models, with notable contributions to random walks, convex hull analysis, and Markov chain theory. He is based in room D-153 and can be reached at stjepan.sebek@fer.unizg.hr. His work bridges theoretical mathematics with applications in statistical physics and combinatorial optimization. Research interests include the study of random sequential adsorption, convex hull properties of stochastic processes, and functional limit theorems for stable processes. His publications often explore the interplay between discrete and continuous models, with a focus on geometric and probabilistic questions. Collaborations with researchers like W. Cygan, N. Sandrić, and T. Došlić highlight his engagement in international scientific networks. Recent articles reflect trends in analyzing the asymptotic behavior of stochastic systems, such as convex hulls of Brownian motion and random walks with drift. His work on jammed configurations and combinatorial settlement planning demonstrates interdisciplinary impact, merging mathematics with spatial planning and ecology. Despite not listing awards, his prolific publication record in top-tier journals underscores his academic contributions.

Zoran VondračekView profile

Professor

• Markov Processes
• Potential Theory
• Stochastic Analysis
• +4 more

Zoran Vondraček is a Professor of Mathematics at the Department of Mathematics, Faculty of Science, University of Zagreb. His research focuses on stochastic processes, potential theory, and applications in financial and actuarial mathematics. He holds a Ph.D. from the University of Florida (1990) and has held visiting positions at institutions including the University of Illinois at Urbana-Champaign and Seoul National University. Education: Ph.D. (Mathematics, University of Florida, 1990), M.Sc. (University of Zagreb, 1986), B.Sc. (University of Zagreb, 1982). Affiliations: Full Professor at University of Zagreb since 2002; previously Associate and Assistant Professor (1997–2002, 1992–1997). Grants: Recipient of multiple grants including those from the Croatian Science Foundation (2014–2022) and international collaborations with the U.S., Germany, and South Korea. Research Interests: Zoran's work centers on potential theory of jump processes, subordinate Brownian motions, Lévy processes, and their applications in risk theory and financial modeling. He has extensively studied Green functions, Harnack inequalities, and boundary behavior of stochastic processes. Publications: Over 100 peer-reviewed articles in top journals such as Journal of Functional Analysis , Probability Theory and Related Fields , and Stochastic Processes and their Applications . Recent work includes advancements in non-local operators and Dirichlet forms. Awards: Croatian Academy of Sciences and Arts award (2006), National Science Award (2010), Andrija Mohorovičić Award (2020). Teaching: Teaches advanced courses on probability theory, stochastic processes, and financial mathematics at the University of Zagreb. Supervises graduate students in related fields. Labs/Teams: Collaborates with international research groups on stochastic analysis and potential theory, with active participation in workshops and conferences globally.

Dragana Jankov MaširevićView profile

Professor

• Special functions
• Neumann series
• Kapteyn series
• +4 more

Dragana Jankov Maširević is a Full Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. She holds a PhD in Mathematical Analysis from the University of Zagreb (2011) and a BSc in Mathematics and Computer Science from the University of Osijek (2007). Her research focuses on special functions, Neumann/Kapteyn/Schlomilch series, integral representations, and applications in probability theory. She has authored/co-authored over 50 journal articles and contributed to books on decision theory and measure theory. Research Highlights: Her work centers on advanced special functions (Nuttall, Marcum, Bessel), series expansions, and probabilistic applications. Notable contributions include new integral/series representations for Nuttall and Marcum functions, bounds for hypergeometric functions, and distribution theory advancements. Her recent projects (2023-2025) address fractional calculus applications in Bessel distributions and non-central chi-square CDFs. Professional Activities: She leads the Erasmus+ MathifyMe project (2024-2027) and previously contributed to GAMMA (2020-2023). She serves as an Associate Editor for the Journal of Classical Analysis and chairs the Quality Assurance Commission at her school. Teaching includes applied mathematics, real analysis, and decision theory courses. Grants & Collaborations: Key projects include the Croatian Science Foundation's 'Inequalities and Applications' (2014) and nonlinear parameter estimation initiatives. She collaborates internationally via EU-funded programs and regularly presents at conferences like the European Congress of Mathematics and OPSFA symposia. Service & Outreach: Organizes winter schools on topics like combinatorial probability and geometric median. Engages in teacher credentialing committees and public math events, promoting accessible education through game-based learning frameworks.

Igor KuzleView profile

Professor

• Power Systems
• Smart Grids
• Renewable Energy Integration
• +5 more

Professor Igor Kuzle is a Full Professor at the Faculty of Electrical Engineering and Computing (University of Zagreb), leading the Smart Grids Laboratory . His work focuses on advanced power systems, renewable energy integration, and grid stability.