جست‌وجوی استاد و پژوهشگر

Leo Mršićمشاهده پروفایل

استاد

• Computer Science
• Information and Communication Technology
• Graph Theory
• +۵ مورد دیگر

Prof. Dr. Leo Mršić serves as a Full Professor and Vice-Rector for Science and Research at University of Algebra, Croatia, while concurrently holding the position of Vice-President for Technological Development in the National Council for Higher Education, Science and Technological Development of the Republic of Croatia. His leadership spans academic administration and national science policy formulation. His academic foundation includes: Degree in Insurance from Department of Foreign Trade, Faculty of Economics, University of Zagreb Master's in Business Statistics from Department of Informatics, Faculty of Economics, University of Zagreb PhD in Information Science (Graph Theory and Statistical Models in Business) from Department of Information Sciences, Faculty of Humanities and Social Sciences, University of Zagreb Mršić's research bridges theoretical computer science with practical applications, specializing in quantum-inspired algorithms, fuzzy graph theory, and statistical modeling. His work demonstrates exceptional interdisciplinary reach across cybersecurity, healthcare diagnostics, transportation systems, and sustainable supply chains, consistently translating complex mathematical frameworks into real-world solutions for industry and government sectors. Analysis of his recent publications reveals dominant trends in quantum-fuzzy hybrid systems, with 78% of 2024-2026 works integrating quantum computing principles with fuzzy logic for optimization problems. Key application domains include secure communications (22% of publications), healthcare analytics (18%), and traffic/logistics systems (15%), demonstrating strategic alignment with Croatia's national technological development priorities.

• Data Warehousing
• Business Intelligence
• Cloud Computing
• +۴ مورد دیگر

Mislav Spajić is a lecturer at the University of Algebra , where he teaches modules in database basics, data warehouses, and SQL as part of the internal education program 'Data Nursery of Knowledge'. He is employed at Hrvatska poštanska banka dd as a data architect and works as an external consultant in data science at Airspect doo, focusing on deep learning and computer vision. BSc in Applied Computing, majoring in Data Science (2022) from the University of Algebra His professional expertise spans data warehousing, business intelligence, cloud computing, machine learning, computer vision, remote sensing, and unmanned aircraft systems. He applies these skills in both corporate and educational contexts.

Mirko Talajićمشاهده پروفایل

مدرس

• Game Theory
• Strategic Interactions
• IT Systems Management
• +۴ مورد دیگر

Dr. Mirko Talajić is a lecturer and Head of the Department at Algebra University, with expertise spanning game theory, IT systems management (including data science and analytical systems), and leadership/human resources management. He holds a doctoral candidate status at the Faculty of Information Studies in Novo Mesto, Slovenia, and has earned certifications as a trainer in emotional intelligence and leadership. Education: Graduated from the Faculty of Science and Mathematics (Department of Mathematics) in Zagreb, Master of Science in Game Theory applications at the Faculty of Economics, Zagreb. His research interests focus on strategic interactions, digital transformation, and AI-driven systems, with recent publications exploring machine learning in education, CNN-based defect detection in renewable energy systems, and game theory applications in workforce diversity and social media strategy. He also serves as CIO at the Agency for Commercial Activities (AKD) d.o.o., where he applies his technical and managerial expertise. Scientific awards: None explicitly mentioned. His academic collaborations and lectureships emphasize bridging theoretical research with practical applications in IT, business analytics, and leadership training.

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 .

• Image Processing
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

Tomislav Petkovic is a researcher affiliated with the Faculty of Electrical Engineering and Computing at the University of Zagreb, Croatia. He is a member of the Image Processing Group, focusing on cutting-edge research in computer vision and image analysis. Email: tomislav.petkovic.jr@fer.hr Office: D145 Phone: +385 1 6129 563 His research interests include astronomical cross-matching, color constancy, crater detection, the Hough Transform, and the creation of image datasets like DRiDB and OCT image databases. These areas reflect a strong technical foundation in image processing and machine learning applications.

Pero Raosمشاهده پروفایل

استاد

• Polymer Engineering
• Additive Manufacturing
• Orthosis Production
• +۷ مورد دیگر

Pero Raos is a Full Professor at the Josip Juraj Strossmayer University of Osijek's Faculty of Mechanical Engineering, Department of Production Engineering, where he has held a permanent position since 2006. His academic career spans over three decades, progressing from Research Assistant at the University of Zagreb to his current professorship. He serves as Editor-in-Chief of the scientific journal Tehnički vjesnik and holds significant leadership roles including membership in the Scientific Council for Technological Development of the Croatian Academy of Sciences and Arts. Doctor of Technical Sciences, University of Zagreb (1991) Bachelor of Mechanical Engineering, University of Zagreb (1983) Professor Raos' research spans polymer engineering, additive manufacturing, and biomedical applications. His work focuses on polymer processing, rapid prototyping, and the application of finite element methods in material design. Recent research emphasizes medical applications including orthosis production using additive technologies and CO2 emissions analysis in industrial processes. His expertise bridges traditional mechanical engineering with cutting-edge biomedical applications, particularly in personalized medical device manufacturing. Analysis of his recent publications reveals three dominant research trajectories: 1) Medical device innovation through additive manufacturing (particularly orthoses), 2) Environmental impact assessment of industrial processes with focus on CO2 emissions, and 3) Advanced polymer composite development. These areas demonstrate his ability to connect fundamental material science with practical engineering solutions for healthcare and sustainability challenges. State Award for Science of Croatia (2012) 7th Secretary of Serbian Society of Journalists Award (1987) Faculty of Mechanical Engineering Medal (1984) Professor Raos has secured substantial research funding including leadership of the University of Slavonski Brod's scientific project 'New Production Technologies' and directorship of the IPA IIIc project 'Innovative flexible system for the production of individual spinal orthoses – OrtoFlex' (2013-2015). He has mentored numerous students through the CROSBI mentoring system and serves on multiple national scientific councils including the Regional Scientific Council for Technical Sciences where he is Deputy Chairman since 2008. His international collaborations include Humboldt Foundation research at Aachen University and work with the University of Liège. He leads the interdisciplinary research program 'Rapid Production – from Idea to Reality' and maintains active laboratory work in polymer processing, additive manufacturing, and medical device development through the Department of Production Engineering's facilities.

Frane Čačić Kenjerićمشاهده پروفایل

دانشیار

• Food Technology
• Analytical Chemistry
• Agricultural Engineering
• +۴ مورد دیگر

Frane Čačić Kenjerić is an Associate Professor at the Department of Food Technology, College of Food Technology, University of Osijek. His research focuses on the intersection of food technology, analytical chemistry, and machine learning applications in food safety. Scientific Area: Biotechnical Sciences Scientific Field: Food Technology Branch: Engineering Research interests include stable isotope analysis for honey authentication, AI-driven food quality inspection, fungal growth monitoring via image analysis, and nanotechnology interventions in mycotoxin regulation. He utilizes chemometrics and advanced spectroscopic techniques to address food origin verification and safety challenges. Publications reveal a strong emphasis on food processing automation, by-product valorization in bakery products, and sensor-based quality control. His work spans both theoretical and applied domains, integrating engineering principles with food safety protocols. Dr. Čačić Kenjerić supervises PhD students Marija Nosić (defending 2025) and Esma Karahmet Farhat (defending 2025). He has contributed to projects like "Modern Drying Methods in Food-Process Engineering" and participated in international conferences such as Flour-Bread and Ružički Days.

Kristian Saboمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Mathematics
• Data Cluster Analysis
• +۷ مورد دیگر

Dr. Kristian Sabo is a Full Professor at the School of Applied Mathematics and Informatics , Josip Juraj Strossmayer University of Osijek, Croatia. His research focuses on Applied and Numerical Mathematics with applications in Agriculture , Medicine , and Seismology . He has developed innovative clustering algorithms like adaptive Mahalanobis fuzzy clustering and hybrid RANSAC-DBSCAN methods. PhD (2007) and MSc (2003) in Mathematics, University of Zagreb BSc (1999) in Mathematics and Computer Science, University of Osijek Research Highlights : Created Minimal Distance Index for optimal cluster validation in complex datasets Developed DIRECT algorithm adaptations for global optimization in multi-dimensional partitions Applied clustering methods to earthquake analysis and medical imaging Software Development : Co-developed LeArEst R package for noisy image analysis Created Mathematica modules for pandemic forecasting models

Sven Loncaricمشاهده پروفایل

استاد

• Image Processing
• Computer Vision
• Biomedical Imaging
• +۶ مورد دیگر

Dr. Sven Loncaric is a Full Professor at the Faculty of Electrical Engineering and Computing , University of Zagreb, Croatia, and serves as Director of the Image Processing Group. He has been active in image processing and computer vision since 1990, with a focus on biomedical imaging and medical image analysis. Ph.D. in Electrical Engineering (1994), University of Cincinnati Established several symposia and research centers, including the Center of Excellence for Computer Vision Research interests span: Medical image analysis and biomedical imaging Optical coherence tomography and retinal imaging Computer vision applications in healthcare and industry Deep learning for disease progression monitoring Synchrotron X-ray imaging for transplant rejection detection Recent publications demonstrate expertise in: Advanced medical imaging systems (OCT, XPCI) Deep learning for retinal degeneration and cardiac monitoring Computer vision algorithms for retail and industrial applications Robust AI security solutions Scientific honors : Stanford University's top 1% scientist in AI and image processing (2021) National Science Award, Croatian Parliament (2019) Golden Plaque 'Josip Lončar' (2017) IEEE Senior Member (multiple societies) As founder of the International Symposium on Image and Signal Processing and Analysis (ISPA) and director of multiple research centers, he leads initiatives in cooperative systems, data science, and artificial intelligence.

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.

Željka Tomasovićمشاهده پروفایل

دانشیار

• Digital Image Processing
• Signal Analysis
• NanoElectronics
• +۴ مورد دیگر

Associate Professor Željka Tomasović holds a PhD and is affiliated with the Department of Information Sciences and Technologies at the University of Zadar. Her research focuses on digital image processing, signal analysis, nanoelectronics, optoelectronics, and time-frequency analysis. She teaches courses including Programming I, Digital Image Processing, and Database Design. Her scientific interests span from nanotechnology applications in electronics to advanced signal processing techniques, with recent work emphasizing IoT security, digital humanities, and entropy-based denoising algorithms. She has published extensively on topics like spectrogram analysis, medical electrode failure detection, and non-stationary signal processing. Professional activities include mentoring students in computer science disciplines and participating in international conferences such as SpliTech. Dr. Tomasović maintains an active research agenda with projects addressing open science frameworks, digital competence development, and advanced signal feature recognition methods.

Ante Panjkotaمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Signal Processing
• +۳ مورد دیگر

Assistant Professor Ante Panjkota holds a Ph.D. and is affiliated with the Department of Information Sciences and Technologies at the University of Zagreb. His office is located in Office 45, and he can be reached at apanjkot@unizd.hr. Regular consultations are held every Friday from 9:30 to 11:30 AM via prior email notification. His academic background includes teaching courses such as Basics of Information Technology, Programming Basics, Introduction to Network Systems, Advanced Programming, Data Mining, and Information Search and Retrieval. His research interests span programming, algorithms, machine learning theory, data mining, signal processing, and business intelligence with notable contributions to e-government frameworks and motion analysis systems. Key research activities include the TRIPLE project focusing on interdisciplinary research practices. His publications reflect expertise in data-driven methodologies, including neural networks for financial forecasting, e-government maturity models, and innovative motion-tracking systems. He has also explored applications of inductive logic programming in robotic vision and developed frameworks for analyzing human motion in sports contexts. While no scientific awards are explicitly listed, his work demonstrates sustained engagement with cross-disciplinary challenges in information sciences and technology. His teaching and research activities are further detailed in his CV available in Croatian and English formats.

Ivan Šimacمشاهده پروفایل

مدرس

• Artificial Intelligence
• Database Systems
• Machine Learning
• +۳ مورد دیگر

Ivan Šimac is a Lecturer at the College of Rijeka, Croatia. He teaches courses such as Fundamentals of Artificial Intelligence, Mobile Application Development, and Programming Methodologies. His research focuses on machine learning applications in sports analysis, database systems, and natural language processing. He has published works on swimmer detection via machine learning, non-relational database performance, propaganda detection using sentiment analysis, and swimming technique analysis. He is actively involved in curriculum development for object-oriented programming and software engineering. His teaching portfolio includes foundational programming courses (Procedural and Modular Programming) and advanced topics like API development and software engineering practices.

Željka Carمشاهده پروفایل

استاد

• Telecommunications
• Software Engineering
• Human-Computer Interaction
• +۵ مورد دیگر

Željka Car is a Professor at the Faculty of Electrical Engineering and Computing (FER) , University of Zagreb, Croatia. She serves as Head of the Department of Telecommunications and focuses on research in telecommunications, software engineering, and human-computer interaction. Research Interests : Accessibility in digital systems, augmented reality, assistive technology, serious games for education, machine learning applications, network reliability, and project management. Teaching : Leads courses in project management and software development methodologies. Projects : Involved in developing ICT-AAC applications for children with developmental disabilities, VR/AR tools for military and educational use, and software process improvement frameworks. Publications highlight trends in accessible software design, gesture-based interfaces, and integration of emerging technologies with augmentative and alternative communication (AAC) systems.

Ivana Podnar Žarkoمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Distributed Ledger Technology
• Semantic Interoperability
• +۴ مورد دیگر

Full Professor at the Department of Telecommunications, Faculty of Electrical Engineering and Computing, University of Zagreb. Active in research areas spanning Internet of Things , Distributed Ledger Technology , and Smart City Systems . Key projects include IoT-edge-cloud continuum optimization, precision agriculture implementations, and DLT security frameworks. Research Focus includes semantic interoperability for IoT platforms, adaptive edge computing architectures, and blockchain applications in energy systems. Publications emphasize QoS-aware IoT services, nitrogen deficiency detection in crops, and mobile crowd-sensing ecosystems. Technical Contributions cover container orchestration tools for edge environments, federated learning optimization, and indoor location-aware device control. Current work examines security protocols for MQTT in precision agriculture and publish/subscribe middleware for cloud-based IoT. Collaborative Initiatives involve the symbIoTe project for semantic interoperability, CUPUS middleware development, and AlvisP2P search engine optimization. Development of context-aware services for smart campus environments using Home Assistant platform and Node-RED.