Find Academic Supervisors

• Dynamical Systems
• Fractal Dimensions
• Data Science
• +2 more

Siniša Miličić is an Assistant Professor at the Faculty of Informatics in Pula, University of Pula, where he also serves as Vice Dean for Teaching and Students since 2021. He holds a PhD in mathematics from the University of Zagreb (2013) and previously worked as a junior researcher at the Faculty of Electrical Engineering and Computing in Zagreb from 2007 to 2017. Dr. Miličić's research focuses on the theory of dynamical systems and fractal dimensions, with applications extending to informatics and computer science, particularly in data science. His work bridges theoretical mathematics with practical computational applications, demonstrating expertise in both pure mathematical theory and its implementation in modern technological contexts. His teaching portfolio spans from foundational mathematics to advanced computational topics, including Differential and Integral Calculus, Geometry and Linear Algebra, Functional Programming, and Statistics across undergraduate, graduate, and integrated programs. His publication record shows a clear evolution from theoretical mathematics toward applied computational methods. Early works (2006-2013) focused on fundamental aspects of dynamical systems, fractal geometry, and differential equations. More recent publications (2018-2025) emphasize time-frequency analysis, image processing, and signal denoising, reflecting his growing interest in practical implementations of mathematical theory in data science applications. As Vice Dean for Teaching and Students, Dr. Miličić actively participates in the development of courses and design of study programs at the Faculty of Informatics in Pula. He teaches a comprehensive range of mathematics courses from introductory level to advanced topics including methodological courses in mathematics teaching, demonstrating his commitment to both theoretical foundations and practical applications of mathematics in informatics education.

• Materials Degradation
• Microstructure Analysis
• Nuclear Materials
• +2 more

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.

Gabriella PizzutoView profile

Lecturer

• Robotics
• Applied Machine Learning
• Human-Robot Collaboration
• +3 more

Dr. Gabriella Pizzuto is a Lecturer in Robotics and Chemistry Automation with a joint appointment in the Department of Computer Science and Department of Chemistry at the University of Liverpool. She serves as Research Area Lead for the Royce Digital Chemical Materials Design Research Area, holds a Royal Academy of Engineering Research Fellowship, and acts as ECR Co-Chair for the EPSRC AI Hub in Chemistry (AIChemy). Her educational background includes a Ph.D. in Computer Science (2020) from the University of Manchester, where she was a Marie-Sklodowska Curie Early Stage Researcher. During her doctoral studies, she held visiting scholar positions at the University of Edinburgh and the Italian Institute of Technology, followed by a postdoctoral research associate position at the Edinburgh Centre for Robotics. Dr. Pizzuto's research sits at the critical intersection of robotics and applied machine learning for scientific discovery. Her work specifically targets: Multimodal robot skill learning in unstructured environments Failure recovery systems for chemistry laboratory automation Safe human-robot collaboration frameworks Accelerated materials discovery through autonomous experimentation Her research group develops learning-based methods to enable robotic scientists to operate with increasing autonomy in complex experimental settings. Dr. Pizzuto's scientific recognition includes: Royal Academy of Engineering Research Fellowship Marie Skłodowska-Curie Early Stage Researcher Fellowship Her research trajectory demonstrates strong grant leadership, having served as Lead Research Associate on the ERC Synergy Grant 'Autonomous Discovery of Advanced Materials' (ADAM) before establishing her independent research program. Current funding is supported through her Royal Academy Fellowship and leadership roles in national research hubs. Dr. Pizzuto leads a dynamic research group focused on developing intelligent robotic systems for chemistry laboratories, with particular emphasis on creating adaptive platforms that can learn from experimental failures and collaborate effectively with human researchers to accelerate scientific discovery.

• NMR Spectroscopy
• Analytical Chemistry
• Petroleum Analysis
• +4 more

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
• Artificial Intelligence
• Software Engineering
• +1 more

Filip Marinović serves as an Assistant Professor at Algebra Bernays University, a Croatian institution specializing in digital education and technology programs across undergraduate, graduate, and professional domains. His research spans critical computing disciplines with emphasis on: Computer Science Artificial Intelligence Software Engineering Cybersecurity These interests align with the university's program portfolio including Data Science and Artificial Intelligence, Software Engineering, and Cybersecurity specializations. His work supports the institution's focus on digital business transformation and technological innovation in applied academic contexts.