جست‌وجوی استاد و پژوهشگر

Josip Arnerićمشاهده پروفایل

پژوهشگر

• Econometric methods and models
• Financial time-series and volatility
• Univariate and multivariate GARCH models
• +۳ مورد دیگر

Josip Arnerić, PhD, is a researcher at the Department of Statistics within the Faculty of Economics & Business at the University of Zagreb. His work focuses on econometric modeling, financial time-series analysis, and high-frequency data applications. Academic affiliation: Faculty of Economics & Business, University of Zagreb Research focus: Financial econometrics, volatility modeling, neural networks Email: jarneric@efzg.hr Research Interests Arnerić specializes in econometric methods for financial markets, with particular expertise in: Univariate and multivariate GARCH models Stochastic processes and volatility dynamics High-frequency data analysis Machine learning applications to financial forecasting Market risk modeling and portfolio optimization Publication Trends His work spans econometric modeling of stock market volatility (2023-2025), housing affordability analysis (2024), and neural network applications in inflation forecasting (2021). He has also explored: Price jump identification techniques Gold as safe-haven asset Interdependencies between traditional and cryptocurrency markets

• Kinesiology
• Sports Science
• Biostatistics
• +۳ مورد دیگر

Professor Igor Jelaska works at the Faculty of Kinesiology, University of Split, focusing on statistical methods in kinesiology. He teaches Quantitative Methods, Statistics, and Computer Technology courses at both undergraduate and graduate levels. Academic Rank: Professor (since July 2022) Education: PhD in Kinesiology (University of Split, 2011); MSc in Mathematics (University of Zagreb, 2000) His research intersects kinesiology and statistics, particularly in: Sports performance analysis Anthropometric and motor skill studies Ergonomic and maritime safety Exercise interventions for health Methodological validation in physical education Statistical modeling in sports science Recent publications demonstrate expertise in: HIIT training effects GPS error analysis Youth soccer player development Women's fitness programs Maritime ergonomic practices He contributes to education through course leadership in: Quantitative Methods Statistics and Informatics Computer Technology in Sports Boxing Coach Training Programs

Dijana Žilićمشاهده پروفایل

استاد پژوهشی

• Molecular magnetism
• EPR/ESR spectroscopy
• Transition-metal complexes
• +۴ مورد دیگر

Dijana Žilić serves as Head of the Laboratory for Magnetic Resonances within the Division of Physical Chemistry at the Ruđer Bošković Institute in Zagreb, Croatia. She earned her PhD in Physics from the University of Zagreb in 2008 and has established herself as a leading researcher in molecular magnetism and advanced spectroscopic techniques. Primary Institution: Ruđer Bošković Institute Leadership Role: Head of Laboratory for Magnetic Resonances Academic Background: PhD in Physics (2008), B.Sc. in Physics (2002) Teaching Role: Lecturer for Doctoral study course 'EPR spectroscopy' at University of Zagreb Her research program focuses on molecular magnetism, EPR/ESR spectroscopy, transition-metal complexes, MOFs, organic radicals, and molecular spin qubits. Dr. Žilić has made significant contributions to understanding magneto-structural correlations in molecular magnetic complexes and developing new materials for quantum information processing. Her work bridges fundamental physics with practical applications in quantum computing. Recent publications (2023-2025) demonstrate her leadership in enhancing molecular spin qubit performance through innovative approaches like fullerene encapsulation in metal-organic frameworks and mechanochemical synthesis methods. Her research team has published in high-impact journals including Chemical Science, Inorganic Chemistry, and Dalton Transactions, with particular emphasis on quantum coherence properties in molecular systems. Awarded RBI general director and Division of Physical Chemistry awards for best articles Received financial support from Croatian Academy of Sciences and Arts for organizing scientific meetings (2019, 2021) Previously awarded for best student work at PrimMath conference (2001) Scholarship recipient from CSF (California) As an educator, Dr. Žilić has successfully mentored multiple graduate students, including supervising Lucija Vujević's PhD thesis (defended January 2025) and Senada Muratović's PhD thesis (defended July 2022). She serves as a reviewer for prestigious organizations including Croatian Science Foundation and Swiss National Science Foundation, and contributes to journals such as 'Materials Horizons' and 'Nanoscale.' Her laboratory actively participates in international collaborations through COST Actions including SUPERQUMAP (CA21144) and MOLSPIN (CA15128).

Ivan Lorencinمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• High-Performance Computing
• +۳ مورد دیگر

Ivan Lorencin is an Assistant Professor at the Faculty of Informatics in Pula , University of Pula. He holds a PhD in Electrical Engineering and Computer Science (2022) from the University of Rijeka, where he also graduated in 2018. His academic roles include Vice-Dean for Business Cooperation and Science, and he teaches courses such as Artificial Intelligence, Network Systems, and Mechatronics. PhD: 2022, University of Rijeka MSc: 2018, University of Rijeka Dr. Lorencin’s research focuses on Artificial Intelligence , Robotics , and High-Performance Computing . His work spans biomedical applications (e.g., cancer diagnostics), maritime domain (e.g., vessel recognition), and energy systems (e.g., power plant optimization). He has published over 90 papers, with 31 in Q1/Q2 journals. His recent publications emphasize machine learning in healthcare (bladder/cervical cancer diagnosis), symbolic regression for energy systems, and computer vision applications (YOLO algorithms, CLIP). He collaborates on international projects like DATACROSS , EDIH Adria , and Erasmus+ WICT . He serves as an editor for the journal Mathematics and contributes to scientific consortia including the Science Center for Excellence in Data Science . His teaching portfolio includes courses in artificial intelligence, data science, and robotics, with a focus on practical exercises and thesis supervision.

• Materials Degradation
• Microstructure Analysis
• Nuclear Materials
• +۲ مورد دیگر

Professor James Marrow holds the James Martin Professorship in Energy Materials at the University of Oxford, serving concurrently as Acting Head of Department, Associate Head of Department (Teaching), and Partner Lead for the Henry Royce Institute. His research bridges fundamental materials science with critical energy infrastructure needs, focusing on structural materials for nuclear and electrical storage applications. His primary research investigates degradation mechanisms through microstructural analysis using advanced techniques: 3D X-ray computed tomography for volumetric damage imaging Digital image correlation for quantitative strain mapping Synchrotron/neutron diffraction for crystal-scale strain measurement Electron microscopy with EBSD for high-resolution microstructural characterization Professor Marrow applies these methods to develop graphite and silicon carbide composites for Generation IV nuclear reactors and novel electrical energy storage materials. He emphasizes the 15-20 year development cycles required for energy materials, which must then perform reliably for 40-80 years in service—necessitating deep understanding of aging mechanisms to avoid catastrophic performance failures. In his leadership capacity, he oversees academic operations and teaching within the department while representing Oxford in the national Henry Royce Institute consortium, driving collaborative research in advanced materials for energy applications.

• Materials Modelling
• Computational Simulation
• Advanced Materials Research

Professor João Quinta da Fonseca serves as the Research Area Lead for Modelling and Simulation at the Henry Royce Institute, a UK national institute for advanced materials research. His role involves strategic leadership in computational approaches to materials science, focusing on developing predictive models and simulation frameworks for next-generation materials. His research integrates theoretical and computational methods to address challenges in materials design and performance optimization. Primary interests include: Multiscale materials modelling High-performance computational simulations Materials informatics and data-driven discovery

• NMR Spectroscopy
• Analytical Chemistry
• Petroleum Analysis
• +۴ مورد دیگر

Dr. Jelena Parlov Vuković is a Research Associate at the NMR Center of the Ruđer Bošković Institute in Zagreb, Croatia. She holds a PhD in Natural Sciences (Chemistry) from the University of Zagreb (2011) and a Bachelor's degree in Chemical Engineering from the Faculty of Science, University of Zagreb (1997). Her research focuses on NMR spectroscopy applications in petroleum analysis, biofuels research, and biomass characterization. Ruđer Bošković Institute, NMR Center (current primary affiliation) Faculty of Science, University of Zagreb (teaching appointment) University of Hohenheim (GRACE Horizon Project collaboration) INA d.d. (Biorefinery Project collaboration) Dr. Parlov Vuković's research expertise centers on NMR spectroscopy applications for characterizing complex chemical systems. Her work spans petroleum analysis (particularly crude oil stability and asphaltene aggregation), biofuels research (including biodiesel purification and characterization), and biomass valorization. She has developed innovative NMR-based methods for fuel analysis, for which she received the INOVA 2006 Gold medal. Her recent work increasingly focuses on sustainable applications of NMR in biorefinery processes and waste valorization. Analysis of her recent publications (2022-2025) reveals a strong research trajectory with consistent output in high-impact journals. Her work demonstrates expertise in applying NMR spectroscopy to solve practical problems in petroleum chemistry, biofuels development, and biomass characterization. The publications show a clear progression from fundamental NMR methodology development to applied research in sustainable energy and waste valorization. INOVA 2006 Gold medal for development of method for determining benzene content using NMR spectroscopy Dr. Parlov Vuković has supervised 2 doctoral dissertations and 7 master's theses, demonstrating her commitment to academic mentoring. She is actively involved in multiple research projects including the current IPS-2023-02 project on valorization of vegetable oil industry residues. Her work is supported by Croatian Science Foundation grants, Horizon 2020 funding, and industry partnerships with INA d.d. As a core member of the NMR Center at Ruđer Bošković Institute, Dr. Parlov Vuković contributes to one of Croatia's leading NMR research facilities. She plays a key role in organizing the Adriatic NMR Conference series and serves as an editor for conference proceedings, helping to establish Croatia as a regional hub for NMR research.

• Computer Science
• Information Systems
• High Performance Computing
• +۳ مورد دیگر

Dario Živković is a Senior Lecturer at the Centre for Informatics and Computing within the Ruđer Bošković Institute in Zagreb, Croatia, where he contributes to institutional research support through computational infrastructure services. His research spans critical domains of modern computing: Computer Science Information Systems High Performance Computing Scientific Computing Data Management Information Technology Infrastructure Dr. Živković's work focuses on enabling advanced research capabilities across the institute through robust informatics solutions and computing resource management. Contact details: Email: Dario.Zivkovic@irb.hr Address: Ruđer Bošković Institute, Bijenička 54, HR-10000 Zagreb, Croatia