جست‌وجوی استاد و پژوهشگر

Toni Milunمشاهده پروفایل

مدرس

• Mathematics Education
• Financial Mathematics
• Business Statistics
• +۳ مورد دیگر

Toni Milun serves as a lecturer in mathematics and statistics at Algebra University of Applied Sciences, where he bridges theoretical concepts with practical business applications. His academic foundation includes a 1999 degree from the Faculty of Science and Mathematics at the University of Zagreb and a 2012 postgraduate specialist degree in Statistical Methods for Economic Analysis and Forecasting from the Faculty of Economics in Zagreb. He is currently completing his doctoral research in Economics at the Faculty of Economics in Rijeka. His research spans Mathematics Education, Financial Mathematics, and Business Statistics, with a distinctive focus on making complex quantitative concepts accessible through innovative pedagogical approaches. Milun's work consistently connects mathematical theory to real-world economic scenarios, particularly in SME financing, investment analysis, and statistical literacy for decision-makers. His publications reveal a strong emphasis on practical applications in Croatian business contexts and educational settings. Analysis of his 15 most recent publications shows dominant themes in financial mathematics (35%), business statistics (30%), and adult education (25%), with recurring subfields including percentage calculations in commerce, regression modeling of socioeconomic factors, and maritime/IT-specific mathematical applications. His research demonstrates consistent engagement with Croatian economic data and educational challenges. His notable recognition includes: Pride of Croatia award for special contribution to education Milun actively disseminates knowledge through public-facing initiatives rather than formal academic advising. He has co-authored a high school mathematics textbook and provides consulting services in applied mathematics and statistics, focusing on business problem-solving. His educational outreach generates significant impact through digital platforms and traditional media. He leads the www.tonimilun.com educational portal and television productions ('Školski sat' and 'Financijalac'), directing teams of educators, video producers, and subject-matter experts to create accessible mathematical and financial literacy content for diverse audiences across Croatia.

Tomislav Suligojمشاهده پروفایل

استاد

• Microelectronics
• Semiconductor Devices
• RF Circuit Design
• +۳ مورد دیگر

Tomislav Suligoj is a Full Professor at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing (FER) at the University of Zagreb. His research focuses on advanced semiconductor devices including horizontal current bipolar transistors (HCBT), single-photon avalanche diodes, and GaN-based high-electron-mobility transistors. Research areas include: Microelectronics, Semiconductor Device Physics, RF Circuit Design, Photodiode Optimization, FinFET Technology, and Gallium Nitride Transistors Key technologies: HCBT (low-cost BiCMOS integration), PureB SPADs (dark count suppression), GaN HEMTs (high 2DEG density), and MALTA architecture (radiation-tolerant sensors) His recent publications analyze: Ultra-low dark count SPADs in 180 nm CMOS Cryogenic temperature performance of HCBT devices Ballistic transport in phosphorene nanoribbon FETs Radiation-hard sensors for ATLAS High Luminosity LHC Advanced mobility modeling in ultra-thin InGaAs channels Stress effects in FinFET structures

• Computational Physics
• High-Performance Computing
• Theoretical Physics
• +۳ مورد دیگر

Leo Boroje is a Professor at the Department of Computer Science within the Faculty of Science at the University of Zagreb. His affiliation includes the Department of Physics, as indicated by repeated references to physics-related divisions and research groups in the institutional context. He is located in office 101, 022, with public phone numbers 4605634 and 4680033, and an internal extension 5634. His research interests span computational physics, high-performance computing, and interdisciplinary applications of computer science in physics. He is associated with research groups such as ZGal and VLA-COSMOS, though specific projects or publications are not detailed in the provided texts. His work likely intersects with theoretical physics and computational methodologies given the departmental context.

Mirko Karakašićمشاهده پروفایل

استاد

• Mechanical Engineering
• Product Design and Development
• Computer-Aided Design (CAD)
• +۷ مورد دیگر

Prof. Dr. Mirko Karakašić is a Full Professor and Chair Head at the Faculty of Mechanical Engineering in Slavonski Brod, University of Slavonski Brod. A graduate of Production Engineering and holder of a Ph.D. in Product Design and Development, he has taught courses such as Computer-Aided Design , Industrial Design , and Optimization of Structures . His research focuses on mechanical design, ecological product evaluation, and additive manufacturing. Doctor of Technical Sciences (2004-2010), Faculty of Mechanical Engineering in Slavonski Brod, JJ Strossmayer University of Osijek Mechanical Engineering graduate (1999-2004), Faculty of Mechanical Engineering in Slavonski Brod, JJ Strossmayer University of Osijek His research spans product development , finite element analysis , and sustainable design . Recent publications highlight applications in 3D printing , LCA for battery-powered tools , and structural optimization across industrial and biomechanical contexts. The 15 most recent articles reveal a focus on: Modular design and functional modeling Additive manufacturing mechanics (PLA/ABS testing) Life Cycle Assessment for sustainable products Structural analysis of steel and composite systems Thermal management and sensor modeling Bio-inspired medical device prototyping As project leader of the EU-funded Center of Competence for Advanced Engineering Nova Gradiška (CEKOM NI NG) , he bridges academia and industry through collaborations with firms like Same Deutz-Fahr Žetelice d.o.o. . He serves on the editorial board of Organization and Maintenance Technology and as a reviewer for MDPI Applied Science . His technical expertise includes: Computer-Aided Modeling and Simulation Rapid Prototyping Eco-Design Methodologies Finite Element Analysis Biomechanical Device Development Industrial Project Leadership

Tomislav Šolićمشاهده پروفایل

استادیار

• Welding Technology
• Surface Protection
• Corrosion Resistance
• +۳ مورد دیگر

Tomislav Šolić serves as an Assistant Professor at the Department of Production Engineering, Faculty of Mechanical Engineering, University of Slavonski Brod, where he has been employed since 2015. Holding a Ph.D. in Technical Sciences with specialization in Modern Production Processes, his academic career is deeply rooted at this institution where he completed all levels of education. Dr. Šolić's academic qualifications include: Doctor of Technical Sciences (2016–present), Postgraduate doctoral study module "Modern Production Processes" Master of Science in Mechanical Engineering (2013–2015), Graduate study in Mechanical Engineering University Bachelor of Mechanical Engineering (2010–2013), Undergraduate study of mechanical engineering His research program centers on welding technology , surface protection , and corrosion resistance , with particular emphasis on process parameter optimization. Dr. Šolić employs advanced methodologies including fuzzy logic modeling and statistical regression analysis to address complex engineering challenges in manufacturing. His scholarly output demonstrates consistent innovation in materials engineering, with recent publications revealing strong industry collaboration in automotive and shipbuilding sectors. Key research threads include computational modeling of plasma cutting processes, optimization of protective coatings, and failure analysis of welded structures. Dr. Šolić's scientific contributions have been recognized through: Academic achievement award from Slavonski Brod Welding Technology Society (2013) CEEPUS mobility fellowship at Obuda University, Budapest (2017) His teaching portfolio includes Production Processes III and Surface Protection courses, while research leadership spans multiple domains: University Research : Ni-alloy welded layer optimization and residual stress studies Institutional Projects : Technological parameter effects on material integrity European Initiatives : RCK-Slavonika 5.1 project leadership Industry Partnerships : Collaborative testing of shopprimers with industrial partners (2017, 2020) As an active member of the Croatian Society for Materials Protection and Welding Technology Society Slavonski Brod, he bridges theoretical research with practical industrial applications through interdisciplinary team collaborations within the university's production engineering facilities.

Mirko Poljakمشاهده پروفایل

دانشیار

• Nanoelectronics
• Quantum Transport
• 2D Materials
• +۴ مورد دیگر

Associate Professor Mirko Poljak holds a PhD in Nanoelectronics from the Faculty of Electrical Engineering and Computing (FER), University of Zagreb, supervised by Professors T. Suligoj (FER) and K. L. Wang (UCLA). His research focuses on quantum-transport modeling of nanoscale devices, including graphene, 2D materials, and ultra-thin semiconductor structures. He has authored over 30 journal papers and 50 conference papers, cited over 700 times. Poljak completed a Fulbright Fellowship at UCLA's Device Research Lab (2011-2012) and research visits at Queen's University Belfast (2014-2015). He reviews for top journals like Nature Electronics and IEEE Transactions on Electron Devices. His scientific awards include the Annual Science Award (2017), FER's World-Class Research Award (2016), and Fulbright Fellowship (2011). He is a Senior Member of IEEE and affiliated with MIPRO. Research interests span TCAD-based nanodevice simulation, topological superconductors for Majorana modes, and 2D material FETs. His work emphasizes atomistic quantum transport models for next-generation nanoelectronics. Affiliations: Laboratory for Micro and Nano Electronics (FER) Professional Memberships: IEEE, IEEE Electron Devices Society, Croatian Society MIPRO

Karlo Mrakovčićمشاهده پروفایل

استادیار

• Astronomy
• Astroparticle Physics
• Machine Learning
• +۱ مورد دیگر

Karlo Mrakovčić is an Assistant Professor at the Faculty of Physics, University of Rijeka. His research focuses on astronomy, astroparticle physics, machine learning, and data analysis. He holds a Bachelor’s in Physics (2017–2019) and a Master’s in Astrophysics and Elementary Particle Physics (2019–2021), both from the University of Rijeka. Prior to his academic role, he worked as an Associate at Valamar Riviera d.d., specializing in AI and digitalization. His scientific work includes studies on LSST image classification using neural networks and kinematic models of the Milky Way using Gaia data. He has conducted training at the University of Washington (2022) on machine learning for cosmic particle classification at the Vera Rubin Observatory. His teaching includes courses like Physics 1: Mechanics, Classical Mechanics 1, and Computational Physics. Research contributions span the Cherenkov Telescope Array (CTA), LSST photometric distance estimation, and transient event analysis. His work integrates advanced machine learning techniques with observational astrophysics, emphasizing high-energy phenomena and data-driven astronomy.

Damir Žarkoمشاهده پروفایل

استاد

• Electrical Engineering
• Electromagnetic Design
• Motor Optimization
• +۳ مورد دیگر

Prof. Damir Žarko is a Full Professor at the Department of Electric Machines, Drives and Automation, Faculty of Electrical Engineering and Computing (University of Zagreb). His work focuses on advanced electromagnetic modeling, optimization of electric machines, and industrial applications including traction motors, transformers, and renewable energy systems.

• Nuclear Physics
• Particle Physics
• Quantum Physics
• +۴ مورد دیگر

Assistant Professor Ivica Friščić is affiliated with the Department of Experimental Physics at the Faculty of Science, University of Zagreb. He holds a PhD in Physics (2015) and completed his undergraduate studies in 2008. His teaching includes undergraduate Computer Science, Nuclear Physics, and Laboratory exercises. His research spans kaonic atoms, nuclear physics, and detector development. Key projects include the SIDDHARTA-2 experiment at DAΦNE and contributions to the ECCE detector at the Electron-Ion Collider (EIC). His work focuses on precision X-ray spectroscopy, nuclear resonance effects, and quantum computing fundamentals. Recent publications highlight kaonic neon spectroscopy (2025), CZT detector testing, and ECCE detector design. Trends include advancements in kaonic atom measurements, collider experiments, and nuclear astrophysics applications. He has participated in collaborations like sPHENIX and SIDDHARTA-2, with interests in nuclear structure, quantum entanglement, and experimental instrumentation.

Goran Đambićمشاهده پروفایل

دانشیار

• Information Sciences
• Computer Science
• Machine Learning
• +۴ مورد دیگر

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 .

• Particle Physics
• Astroparticle Physics
• High Energy Physics
• +۲ مورد دیگر

Saša Mićanović is an Associate Professor at the Department of Physics, Faculty of Physics, University of Rijeka, Croatia. With a doctoral degree in Particle Physics from the University of Zagreb, his career spans experimental particle physics and astroparticle physics. His current research focuses on high-energy gamma-ray astronomy through major international collaborations including MAGIC, CTA, and previously CMS and Pierre Auger Observatory. His primary research interests include Particle Physics, Astroparticle Physics, High Energy Physics, and Gamma-ray Astronomy. Mićanović has contributed significantly to studies of cosmic-ray physics, neutrino oscillations, gamma-ray bursts, and blazar emissions. His work leverages data from major observatories including the MAGIC telescopes and Cherenkov Telescope Array. Analysis of his recent publications reveals a strong focus on gamma-ray astronomy using the Cherenkov Telescope Array's Large-Sized Telescope (LST-1), with research spanning pulsar emissions, nova outbursts, blazar physics, and PeVatron candidates. His work often involves multi-wavelength approaches and sophisticated data analysis techniques for gamma-ray observations. Ruđer Bošković Institute: Recognition for extraterrestrial achievement in poster section for 'Space' topic at the first Scientific Meetings of the 3rd kind (2011) Mićanović has mentored several students on projects related to particle physics experiments including the Crystal Ball experiment at Mainz Microtron, neutrino oscillations with OPERA, sterile neutrinos, and tau neutrino searches with MAGIC telescopes. His teaching portfolio at the University of Rijeka includes advanced courses in particle physics, electrodynamics, and computational physics. He actively participates in major international collaborations including MAGIC (Major Atmospheric Gamma Imaging Cherenkov telescopes) since 2017, CTA (Cherenkov Telescope Array) consortium since 2017, and previously CMS (2014-2016) and Pierre Auger (2010-2014) collaborations.

Domagoj Matijevićمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Bioinformatics
• +۵ مورد دیگر

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.

Željko Osrečkiمشاهده پروفایل

پژوهشگر

• Radiofrequency Power Amplifiers
• Semiconductor Devices
• Horizontal Current Bipolar Transistor (HCBT) Technology
• +۳ مورد دیگر

Željko Osrečki is a Researcher at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing, University of Zagreb. He holds a degree from the Faculty of Electrical Engineering, Computer Science and Information Technology in Osijek (2014) and a subsequent qualification from the Faculty of Electrical Engineering and Computing in Zagreb (2016). His work focuses on advanced semiconductor technologies, particularly in radiofrequency power amplifiers using horizontal current bipolar transistor (HCBT) technology and optical detection applications. He was awarded the Dean’s Award for his contribution to quenching circuits for single-photon avalanche diodes. Željko Osrečki’s educational background includes: Bachelor’s/Master’s degree from Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (2014) Advanced degree from Faculty of Electrical Engineering and Computing, Zagreb (2016) His research interests revolve around: Design and optimization of radiofrequency (RF) power amplifiers in HCBT technology Cryogenic performance analysis of semiconductor devices Development of high-performance semiconductor devices for wireless and optical detection applications Optimization of single-photon avalanche diode (SPAD) quenching circuits His publications span topics such as cryogenic measurements of RF devices, large-signal characterization of HCBT, and advancements in Doherty power amplifiers. Recent work includes load-pull analysis and optical crosstalk reduction techniques in SPAD arrays, reflecting his expertise in both RF engineering and photonics. Scientific Awards: Dean’s Award for team scientific work on “Design of quenching circuits for single-photon avalanche diodes” Current roles include contributions to the project “High-performance Semiconductor Devices for Wireless Circuit and Optical Detection Applications” led by Prof. Tomislav Suligoj. While no specific grant details are provided, his involvement in multiple projects highlights active participation in research funding initiatives. He is affiliated with the Laboratory for Micro and Nano Electronics, focusing on cutting-edge semiconductor and microelectronic research.

Josip Matejašمشاهده پروفایل

استاد

• Mathematical Programming
• Operations Research
• Optimization
• +۳ مورد دیگر

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.

Zdravko Kunićمشاهده پروفایل

استادیار

• Data Science
• Artificial Intelligence
• Decision Support Systems
• +۷ مورد دیگر

Dr. Zdravko Kunić is an Assistant Professor at the University of Algebra, Department of Information Systems and Business Analytics, and a Senior Lecturer at the University of Zadar's Department of Tourism and Communication Sciences. He leads projects at AlgebraLAB, the university's research institution, focusing on data science, AI, and decision support systems. His work spans high-performance computing architectures, cybersecurity honeypots, wind forecasting algorithms, and automated video editing systems. He collaborates with the Jožef Stefan Institute in Slovenia and participates in EU initiatives like the Pan-European Network of Digital Innovation Centers. His research emphasizes visual business analytics, integrating data science into economic and educational progress. Notable projects include developing scientific web applications using Python, traffic management systems with weather forecasting corrections, and TLS security analyses for Croatian websites. He actively contributes to international conferences and the Erasmus+ program, enhancing his expertise in global academic networks. Dr. Kunić's teaching spans undergraduate and graduate courses in information systems, digital communication, and data-driven decision making. His applied work includes designing systems for insurance, telecoms, and public administration. Despite no explicitly listed awards, his extensive project portfolio underscores his impact in both academia and industry.