جستجوی استاد راهنمای دانشگاهی

Ivana Brekaloمشاهده پروفایل

پژوهشگر

• Chemistry
• Applied Chemistry
• Mechanochemistry
• +۴ مورد دیگر

Ivana Brekalo is a Researcher at the Ruđer Bošković Institute in Zagreb, Croatia, affiliated with the Division of Physical Chemistry and the Laboratory for Applied and Sustainable Chemistry. She holds a Ph.D. in Chemistry from Georgetown University (2019), with a thesis on "Solid State Synthesis and Study of Porous Materials," and completed her Master's (2012) and Bachelor's (2010) degrees in Chemistry at the University of Zagreb. Her work bridges mechanochemistry and materials science, focusing on scalable synthesis methods for functional materials. Doctor of Philosophy, Chemistry, Georgetown University (2013–2019) Master of Science, Chemistry, University of Zagreb (2010–2012) Bachelor of Science, Chemistry, University of Zagreb (2007–2010) Her research emphasizes mechanochemical synthesis, particularly for porous materials like metal-organic frameworks (MOFs) and coordination polymers. She explores solvent-free methods, polymorphism control, and the role of gas-phase catalysts in solid-state reactions. Recent publications highlight thermally controlled milling for agrochemical cocrystals, conductivity in alkali metal coordination polymers, and real-time monitoring of mechanochemical processes. Key publications include Nature Reviews Chemistry perspectives on advanced mechanochemical synthesis and Inorganic Chemistry studies on low-dimensional magnetism in MOF-74 materials. Her work appears in journals like ACS Sustainable Chem. Eng. and Chemical Science , with a focus on green and scalable methods. Scientific Awards Scholarship of the Polish National Agency for Academic Exchange – Ulam Programme (2020) Bepina Sabalić Kunin Fellowship (2013-2015, 2017-2018) Ludo Frevel Crystallography Scholarship, IUCr (2017) CCDC award for best presentation (2022) Brekalo contributes to outreach as the 2019 ACS Volunteer of the Year and has received recognition for her work on solvent-free polymorphism and mechanochemical templation of ZIFs.

• Accounting
• Cost Accounting
• Tax Accounting
• +۴ مورد دیگر

Ivana Barišić, PhD , is an Associate Professor at the Department of Accounting , Faculty of Economics and Business, University of Zagreb . Her academic journey includes a PhD in Public Sector Cost Governance (2006), MSc in Accounting and Finance (2005), and BSc in Accounting (1999), all from the University of Zagreb. Research Focus: Cost accounting in public sectors, managerial accounting for higher education and healthcare, telecommunications cost modeling, and internal audit frameworks. Teaching: Delivers courses in accounting, cost accounting, tax accounting, and managerial accounting at the University of Zagreb, with guest lectures at institutions like Alpen-Adria University Klagenfurt and FH Campus 02 Graz. Projects: Led ABC implementation at Clinical Hospital Centre Zagreb and BSC performance measurement projects. Participated in EU-funded initiatives and Croatian Science Foundation grants. Publications: 15+ articles on internal audit, cost management, and corporate governance, with recent work on risk-based auditing and digital transformation in accounting education. Academic Recognition: No explicitly mentioned awards in provided data. Her email is ibarisic@efzg.hr, and office hours are Tuesday 13:00-15:00.

• Cybersecurity
• Network Protocols
• Cloud Computing
• +۷ مورد دیگر

Damir Regvart is a lecturer at Algebra University of Applied Sciences , specializing in Cybersecurity , Network Protocols , and Cloud Computing . With a background in Electrical Engineering and a Master's in Electrical Engineering from the Faculty of Electrical Engineering and Computing in Zagreb (2002), he focuses on advanced network security protocols, Zero-touch technologies, and cloud infrastructure. Research Highlights : Zero Trust Architecture, Honeypot Deception Strategies, Machine Learning in Threat Detection, Microsoft Azure Security, and Infrastructure as Code hardening. Key Projects : Pan-European and national initiatives in network automation, cloud forensics, and IoT security. Recent Publications (2024-2025) explore cutting-edge topics like AI-driven security testing, forensic capabilities in cloud environments, and the intersection of SDN and cybersecurity. His work addresses vulnerabilities in cryptographic systems and the legal implications of digital signatures. Technology Focus : Zero-touch provisioning, Microsoft Sentinel automation, and RedFish/vSphere API integration.

• Fluid Dynamics
• Aerodynamics
• Environmental Engineering
• +۳ مورد دیگر

Hrvoje Kozmar is a Full Professor in the Department of Physics at the University of Zagreb's Faculty of Science. His research focuses on fluid dynamics, aerodynamics, and environmental engineering, with particular emphasis on wind energy systems, atmospheric boundary layer flows, and structural dynamics. His work addresses challenges in offshore engineering, wind turbine design, and urban building aerodynamics. Professor Kozmar has contributed to advanced computational models for hydrodynamic loads on offshore structures, turbulence effects on tall buildings, and wind energy harvesting systems. His studies on Bora wind dynamics and rotor blade aerodynamics highlight interdisciplinary applications in meteorology and renewable energy. Key projects include surrogate modeling for offshore monopiles, numerical simulations of wave-current interactions, and experimental studies on porous double-skin façades for wind load mitigation. He has collaborated on wind farm layouts, cable-supported bridge stability, and aerodynamic optimization of vehicles.

• Kinesiology
• Sports Science
• Volleyball
• +۵ مورد دیگر

Mirjana Milić is an Associate Professor at the Faculty of Kinesiology, University of Split. She holds a doctoral degree in Kinesiology from the same institution (2014). Her academic work focuses on sports kinesiology, volleyball, and physical education methodologies. Research Interests: Volleyball, sports research methodology, kinesiological education, anthropometry, motor skills, physical activity Teaching Roles: Lecturer for undergraduate and graduate courses including Systematic Kinesiology, Volleyball Methodology, and Research Methodology Her publications emphasize volleyball player profiling, injury prevention, and the intersection of physical activity with public health and education. She contributes to understanding motor ability development in youth athletes and has explored topics like health literacy among university students.

• weed biology
• weed ecology
• predictive weed emergence models
• +۳ مورد دیگر

Valentina Šoštarčić is an Assistant Professor at the University of Zagreb Faculty of Agriculture, Department of Weed Science. Her work integrates scientific, professional, and teaching activities, with a focus on weed biology, ecology, and management strategies. Education: Doctor of Science (2016–2022), University of Zagreb Faculty of Agriculture Master of Engineering in Phytomedicine (2014–2016), University of Zagreb Faculty of Agriculture Bachelor of Engineering in Plant Protection (2011–2014), University of Zagreb Faculty of Agriculture Research interests center on weed biology and ecology, predictive emergence models for weeds in maize using hydrothermal techniques, allelopathic interactions, and optimizing herbicide applications with adjuvants at reduced doses. Her work addresses invasive species like Ambrosia artemisiifolia and Echinochloa crus-galli , emphasizing sustainable agricultural practices. Recent publications span two domains: (1) weed science studies on allelopathy, hydrothermal modeling, and herbicide-resistance dynamics in species like ragweed and barnyardgrass, and (2) historical analyses of medieval Ragusan (Dubrovnik) diplomatic networks, including emotional responses to Angevin rule and gift-giving practices in intergovernmental relations. This interdisciplinary output reflects both her primary agricultural research and niche historical collaborations. Professional activities include coordinating projects funded by the Croatian Science Foundation ( 2023/2027 ) and the Ministry of Agriculture ( 2018/2020 ), focusing on herbicide resistance, invasive species control, and soil seedbank dynamics. She has also collaborated with institutions in Belgrade and Padova on mixed scientific and professional training programs. Teaching involves delivering courses such as Special Herbology, Weed Ecology, Invasive Pest Diagnostics, and Weed Management in cereal crops, reflecting her expertise in both theoretical and applied plant protection. Technical expertise includes laboratory work on seed viability testing, allelochemical bioassays, and field trials for hydrothermal model validation (e.g., ALERTInf for barnyardgrass emergence). Her research contributes to reducing herbicide inputs while improving ecological forecasting tools for weed control.

Franko Šikićمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Retail Analytics
• +۳ مورد دیگر

Franko Šikić is a Researcher at the Department of Electronic Systems and Information Processing within the Faculty of Electrical Engineering and Computing (FER) at the University of Zagreb. His work bridges computer vision and practical retail applications, focusing on real-world problem solving through deep learning methodologies. His research concentrates on computer vision systems for retail environments and human-computer interaction, particularly in out-of-stock detection, price tag recognition, and gaze estimation. Key interests include applying convolutional neural networks to shelf monitoring challenges and developing attention-based architectures for unconstrained gaze prediction. Recent publications demonstrate a clear progression toward sophisticated retail analytics solutions, with increasing emphasis on multi-task learning for shelf image analysis. His 2025 gaze estimation work introduces novel cross-attention mechanisms, while retail publications consistently address practical constraints like variable lighting and occlusion in supermarket settings.

Vinko Lešićمشاهده پروفایل

دانشیار

• Model Predictive Control
• Smart Grids
• Renewable Energy Systems
• +۵ مورد دیگر

Associate Professor Vinko Lešić is affiliated with the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), specifically within the Department of Control and Computer Engineering. His research focuses on advanced control systems, smart grids, renewable energy integration, IoT applications in agriculture, and optimization algorithms. Notable projects include predictive climate control systems for buildings, precision pest detection using hyperspectral imaging, and energy-efficient street lighting solutions. He has contributed to over 50 peer-reviewed articles and led initiatives like the AgroSPARC project for climate-resilient agriculture. His work bridges theoretical control theory with practical applications in smart cities and sustainable energy systems. Research interests span Model Predictive Control (MPC), distributed energy management, and machine learning integration with industrial automation. He collaborates on EU-funded projects addressing climate change impacts on agriculture and urban infrastructure. Teaching responsibilities include courses on automation fundamentals and process control, emphasizing hands-on IoT and PLC implementations. Current activities include developing zone climate control living labs and resilient energy management systems for buildings and microgrids. Publications highlight innovations such as coalitional MPC for building zones, data-driven thermal modeling, and adaptive battery charging for electric vehicles. He advises projects on renewable energy integration and has pioneered sensor-based systems for crop health monitoring. Though no formal awards are listed, his extensive publication record and industry collaborations reflect his academic and applied contributions.

Hrvoje Novakمشاهده پروفایل

پژوهشگر

• Control Systems
• Machine Learning
• Energy Management
• +۶ مورد دیگر

Hrvoje Novak is a Leading Researcher at the Department of Control and Computer Engineering, University of Zagreb Faculty of Electrical Engineering and Computing. His work focuses on interdisciplinary research spanning energy systems optimization, precision agriculture, and advanced control methodologies. He has contributed to innovative solutions in predictive control for building energy management, railway traction systems, and water treatment infrastructure. His research integrates machine learning, IoT, and remote sensing technologies to address challenges in smart grids, crop health monitoring, and insect pest management. Key research areas include: Predictive control strategies for energy-efficient systems Machine learning applications in agricultural pest detection Data-driven modeling of urban traffic and infrastructure IoT-based plant development modeling systems Optimization of railway traction and energy storage systems His publications emphasize practical implementations such as hierarchical building energy management, flight mill analysis for invasive species, and grey-box modeling of water treatment plants. Novak collaborates across academic and industrial sectors to advance sustainable technologies.

Marko Kršuljaمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Computer Simulations
• Materials Science
• +۵ مورد دیگر

Marko Kršulja is an Associate Professor and Dean at the Faculty of Engineering, Juraj Dobrila University of Pula. He holds a PhD in Engineering (2013) and has been employed at the university since 2018. His primary affiliations include the Department of Engineering, where he teaches courses in Engineering Graphics, Computer Simulations in Engineering, and Professional Practice. His research focuses on materials science, computer-aided design, occupational safety, and mechanical engineering applications. Key research areas include the application of artificial intelligence in tourism safety, material selection for manufacturing processes, and railway performance analysis. He has published extensively in journals like the Journal of Marine Science and Engineering and Transactions of FAMENA , with a strong emphasis on practical engineering solutions and safety protocols. His teaching spans undergraduate and graduate programs, including courses such as Three-dimensional simulations and Modeling in Technology . Notable contributions include developing professional practice guidelines and collaborating on projects related to firefighting tactics and additive manufacturing. Education: PhD in Engineering (2013) Awards: None explicitly listed Grants/Projects: Ongoing research in materials science and safety engineering Dr. Kršulja has advised numerous students on thesis projects, including topics like tool design optimization, fire suppression materials, and ergonomic military gear analysis. His work bridges academic research and real-world engineering challenges, with a focus on innovation and practical implementation.

Jadranko Matuškoمشاهده پروفایل

استاد

• Control Systems
• Mechatronics
• Predictive Control
• +۱۲ مورد دیگر

Jadranko Matuško is a Full Professor at the Department of Electric Machines, Drives and Automation, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on control systems, mechatronics, and predictive control, with applications in electric drives, robotics, and vehicle dynamics. Research Areas: Control systems, mechatronics, predictive control, electric drives, automation, robotics, nonlinear control, state estimation, embedded systems, and neural networks in control applications. Scientific Contributions: His work spans projects like field-oriented control of brushless DC motors, global vision systems for UAVs, inverted pendulum laboratory designs, and model predictive control algorithms for grid-tied power converters. Notable applications include self-stabilizing urban vehicles via gyroscopic effects and tire/road friction estimation for automotive control systems. Teaching & Projects: He has developed laboratory setups (e.g., ball and plate systems), human-machine interfaces, and control invariant frameworks. His publications emphasize dynamic reconfiguration, sensorless control, and Kalman filter-based state estimation. Awards & Honors: No specific scientific awards mentioned in the provided texts. Collaborations & Tools: Utilizes MATLAB, FPGA, Arduino/PcDuino, and Tensor Product Transformation for control design. Engaged in projects related to microgrid control, smart water metering, and cyber-physical production systems.

• Sport and rhythmic gymnastics
• Motor skill assessment
• Talent identification in sports
• +۳ مورد دیگر

Ana Kezić is a Full Professor at the Faculty of Kinesiology, University of Split, Croatia, appointed in December 2022. She specializes in kinesiology with research focus on sport and rhythmic gymnastics, motor skill assessment, and talent identification in sports. She teaches courses in rhythmic gymnastics methodology and fundamental movement skills assessment across undergraduate and graduate programs. Education: VSS (Undergraduate degree), Faculty of Natural Sciences and Education, University of Split (2007) PhD (Dr. sc.), Faculty of Kinesiology, University of Split (2011) Research Areas: Her research encompasses sport and rhythmic gymnastics, fundamental movement skill assessment, talent identification protocols, and kinesiological anthropology. She investigates motor skill acquisition in gymnastics, performance analysis techniques, and the development of assessment tools for young athletes. Teaching Portfolio: She serves as course coordinator and lecturer for: Theory and Methodology of Rhythmic Gymnastics (undergraduate) Theory and Methodology of Sports Gymnastics 1 & 2 (undergraduate) Fundamental Movement Skills Assessment (graduate) Sports Trainer specialization in Rhythmic Gymnastics (professional programs) Article Trends: Her recent publications (2023-2025) demonstrate expertise in sports science applications across multiple disciplines, with particular emphasis on talent identification methodologies, neuromuscular assessment techniques (tensiomyography), and performance analysis in combat sports and gymnastics. Research spans from genetic testing considerations to nutritional assessment protocols for young athletes.

Nikola Bilandžijaمشاهده پروفایل

دانشیار

• Agricultural biomass
• Energy crops
• Energy in agriculture
• +۴ مورد دیگر

Nikola Bilandžija is an Associate Professor at the University of Zagreb Faculty of Agriculture, specializing in mechanization and autonomous systems in agriculture. His research focuses on agricultural biomass, energy crops, and engineering solutions for sustainable agroecosystems. He actively contributes to projects addressing climate change mitigation, circular bioeconomy, and bioenergy optimization. University of Zagreb Faculty of Agriculture (2009–present) Projects funded by NATO, Croatian Science Foundation, Horizon 2020, and World Bank Research themes: biomass energy potential, ash fertilization, soil health, and machine learning applications His publications analyze the energy properties and productivity of Miscanthus x giganteus, Virginia Mallow, and cereal residues under varying environmental and technological conditions. Recent work explores ash fertilization impacts, soil respiration dynamics, and waste biomass valorization for bioproducts. He serves as Topic Editor for Energies and Editor-in-Chief for international symposium proceedings, advancing discourse on agricultural engineering and bioenergy systems.

Sven Lončarićمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Medical Imaging
• +۵ مورد دیگر

Academician Professor Sven Lončarić serves as a Full Professor in the Department of Electronic Systems and Information Processing at the Faculty of Electrical Engineering and Computing, University of Zagreb. With his office located in room D-119 and contactable via phone at 6129-891, he maintains an active presence in both teaching and research activities within the institution. His work bridges theoretical computer science with practical applications across multiple domains. Professor Lončarić's research spans computer vision, image processing, and deep learning with significant contributions to medical imaging, particularly in retinal analysis using optical coherence tomography. His work in color constancy and illumination estimation has advanced techniques for handling multi-illuminant scenes, while his research in ultrasound image analysis has practical applications in non-destructive testing. He also explores computer security aspects of machine learning models, particularly in backdoor detection and removal. His recent publications demonstrate a strong trend toward applying deep learning techniques to solve complex problems in medical imaging, retail automation, and industrial applications. The concentration of work in retinal imaging and color constancy shows his commitment to advancing computer vision fundamentals while simultaneously addressing practical challenges in healthcare and industry. His research increasingly incorporates anomaly detection methods and robust security practices for machine learning systems. Professor Lončarić actively contributes to the academic community through organizing events like the Croatian Computer Vision Workshop and the First Croatian Symposium on Artificial Intelligence, providing platforms for knowledge exchange in his fields of expertise. His work on astronomical data processing demonstrates the versatility of his methodological approaches across diverse scientific domains. Within the Department of Electronic Systems and Information Processing, he participates in the Center of Excellence for Computer Vision, contributing to the institution's research profile in artificial intelligence and computer vision. His work on medical imaging applications connects the faculty with healthcare institutions, facilitating interdisciplinary collaborations that translate technical advances into medical practice.

Mateo Sokačمشاهده پروفایل

استادیار

• Cancer Genomics
• Personalized Medicine
• Bioinformatics
• +۳ مورد دیگر

Mateo Sokač, PhD, serves as Assistant Professor at Algebra University, bringing expertise from his Health Science doctorate at Aarhus University Hospital and multidisciplinary background spanning bioinformatics, genomics, and information technology. His academic foundation includes a Master's in Bioinformatics and Bachelor's in Information Technology from RIT Croatia, complemented by internationally recognized certifications in AI, machine learning, and genomic engineering. His educational qualifications: PhD in Health Science, Aarhus University Hospital, Aarhus, Denmark Master's in Bioinformatics, Aarhus University Hospital, Aarhus, Denmark Bachelor's in Information Technology, RIT Croatia, Zagreb Dr. Sokač's research pioneers the integration of cancer evolution analysis with personalized medicine development, employing cutting-edge computational approaches to transform public health standards. His work uniquely bridges genomic engineering, artificial intelligence, and clinical oncology to address complex challenges in tumor heterogeneity and therapeutic resistance. This multidisciplinary focus has generated significant publications in high-impact journals, particularly in cancer vaccine development and genomic biomarker discovery. Analysis of his 2023-2025 publications reveals dominant themes in computational oncology (73% of works), with strong emphasis on AI-driven cancer vaccine development, multi-omics integration for personalized therapy, and environmental health applications. His research consistently employs advanced techniques like graph neural networks, non-negative matrix factorization, and foundation models across diverse domains from marine microbiology to lung adenocarcinoma grading. Professional development highlights: Dozen+ international certifications in AI, machine learning, and genomic engineering Specialized training in DNA sequencing and genomic engineering Certifications acquired from domestic and foreign institutions While specific advising details remain undisclosed, his publication record indicates extensive collaboration on large-scale cancer genomics projects including TRACERx and international consortia. His work on ctDNA analysis and immune cell profiling suggests involvement in major grants related to cancer evolution and immunotherapy response prediction. Current research trajectories point toward developing integrated platforms for real-time cancer monitoring and personalized treatment adaptation. Dr. Sokač leads innovative projects at the intersection of computational biology and clinical oncology, notably developing frameworks like ANORAK for histopathological analysis and BRAINS for neuroimaging applications. His environmental monitoring initiatives using solar gliders and drone technology demonstrate commitment to cross-domain applications of data science, contributing to Algebra University's research ecosystem through interdisciplinary collaboration.