Alen Ranilović is a Lecturer at Algebra University under the Marvin Agency parent institution. His affiliation is listed under the Departments and Teachers section, though specific departmental or school affiliations are not explicitly stated. His academic focus is inferred to align with the university's programs in technology and innovation, including areas like software engineering, cybersecurity, and data science. No research articles, grants, awards, or student advisement details are provided in the text. He is currently active and not indicated as retired or former staff.
Dejan Gluvačević is affiliated with Algebra University, serving as a Lecturer within the institution. His professional role is listed under the 'Lecturers and Associates' section, though specific departmental or school affiliations are not explicitly mentioned. While no formal research areas are detailed in the provided text, his potential academic focus could align with the university's programs, such as Software Engineering, Cyber Security, or Data Science. No specific educational background, grants, or awards are documented here. He is currently active and not noted as retired or former staff.
Danijel Kučak is a Senior Lecturer at the University of Algebra since 2007. He holds a Master's in Mathematics from the Faculty of Science (2002) and a PhD in Information Sciences from the Faculty of Philosophy, University of Zagreb (2025). With 10 international programming certifications, his expertise spans web application development using .NET and Java platforms. He has authored/co-authored 5 books and over 20 scientific papers focusing on software engineering, machine learning, and educational technology. Beyond academia, he owns a programming business, contributing to systems like MedicalBit (for lung disease clinics) and CRIS (Croatian Road Inspection System). His research emphasizes gamification in education, blockchain applications, and AI-driven solutions. Research interests include machine learning applications, gamification strategies for programming education, and secure blockchain systems. His work bridges theoretical computer science with practical implementations in healthcare, transportation, and education. Notable contributions include empirical studies on gamification's long-term impact on student outcomes and innovative approaches to E-learning platforms. Awards: Multiple Best Lecturer Awards at the University of Algebra Business Experience: Developed custom software systems for healthcare and traffic management Publications: Over 20 peer-reviewed articles and 5 books on software engineering and educational technology Labs/Teams: Active in developing IoT architectures for environmental monitoring and AI models for educational outcomes prediction. His programming business integrates academic research with real-world system implementations.
Ivan Dolanc is a researcher at the Institute of Anthropology in Zagreb, Croatia, with a dual academic background in forensic science and chemical engineering. He holds a Master of Forensic Science (2012) and a BSc in Chemical Engineering (2010) from the Faculty of Chemistry and Chemical Technology at the University of Split. Forensics Toxicology Population Genetics Pharmacogenomics Gut Microbiota Analysis His research spans interdisciplinary domains, focusing on analytical chemistry applications in bioanthropology, toxicological burden analysis, and understanding interactions between environmental factors (e.g., heavy metals) and health outcomes during the COVID-19 pandemic. He has collaborated on international projects like unCoVer (HORIZON2020), CRIBS (Croatian Islands’ Birth Cohort Study), and MICROBIOCOV (gut microbiome in COVID-19 prognosis). Recent publications highlight his expertise in bioinformatics , cheminformatics , and mass spectrometry techniques (ICP-MS/MS, GC-MS/MS). He has also contributed to studies on dietary behavior during pandemics, leveraging the CRIBS cohort to explore maternal health impacts and neonatal outcomes. Ivan actively participates in scientific organization, serving on committees for international conferences on forensic genetics, auxology, and anthropology. His laboratory skills include DNA isolation , inductively coupled plasma mass spectrometry , and laser ablation .
Lovro Marković is an Assistant Professor at the Department of Electronics, Microelectronics, Computer and Intelligent Systems of the Faculty of Electrical Engineering and Computing (University of Zagreb). His work focuses on semiconductor device optimization, new materials research, and solar cell technology. He has collaborated with institutions such as Karlsruhe Institute for Technology (KIT) and Fraunhofer Institute for Solid State Physics.
Nataša Erjavec, PhD, is affiliated with the University of Zagreb, Faculty of Economics & Business, specifically within the Department of Statistics. She teaches courses including Time Series Analysis and Forecasting, Financial Series Modeling, Business Statistics, and Econometric Methods across multiple academic programs. Doctoral Study Programme Economics and Business Economics: Ekonometrija Graduate Professional Studies: Statistical Methods for Economic Analysis and Forecasting Undergraduate Study: Analiza vremenskih nizova i prognoziranje Her research focuses on Econometrics , Applied Economics , and International Trade , with particular emphasis on topics like income inequality, exchange rate volatility, export dynamics, and forecasting models. Her scholarly work often employs dynamic panel models, GARCH-type volatility benchmarks, and time series econometric techniques. Recent publications examine economic complexity in EU countries, forecasting market risks using statistical methods, and analyzing regional unemployment patterns. Articles span empirical studies on Croatian tourism demand, FDI impacts, and financial liberalization effects in EU member states. Contact details: Room B-501, Phone +385 1 238 3360, Email nerjavec@efzg.hr . Office hours: Mondays 10:00–12:00.
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
Ivana Mamić Sačer, PhD, serves as an Associate Professor in the Accounting Faculty at the Faculty of Economics and Business, University of Zagreb . Her office hours are held every Tuesday from 10:00-12:00 in Room 316. She specializes in cost accounting methodologies across public sector institutions, higher education, healthcare, and telecommunications industries. Academic Rank: Associate Professor Department: Accounting University: University of Zagreb Her research focuses on cost management systems , including Activity-Based Costing (ABC), Balanced Scorecard (BSC), and full costing implementation. She has led and contributed to projects analyzing pricing models in telecom sectors and Croatian healthcare/hospital efficiency metrics. Her work bridges accounting theory with practical applications in public sector financial governance. Recent publications examine international accounting standard harmonization (IPSAS), spectrum pricing in Europe, and asset revaluation challenges under Croatian tax law. Articles are indexed in Web of Science , Scopus , and EBSCO databases. She teaches graduate courses in managerial accounting and doctoral seminars on cost accounting in business governance . Collaborations include cross-institutional projects with the Faculty of Electrical Engineering and Computing, Alpen-Adria University Klagenfurt, and FH Campus 02 in Graz.
Zvonko Kostanjčar is a Full Professor at the Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His academic work focuses on financial time series analysis, complex systems modeling, and integration of machine learning techniques in finance. Academic Rank: Professor Department: Electronic Systems and Information Processing University: University of Zagreb Primary Research Areas: Financial Engineering, Reinforcement Learning, Complex Systems His research explores applications of deep reinforcement learning , stochastic signal modeling , and network-based analysis in financial markets. Key methodologies include block-diagonal covariance estimation , market microstructure modeling , and latent factor discovery . He has developed educational tools like Tmil-O-Mat for electrical network theory teaching and contributes to signals and systems pedagogy. His work also addresses statistical arbitrage , portfolio optimization , and credit risk assessment using advanced neural networks.
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.
Stjepan Groš is an Associate Professor at the Faculty of Electrical Engineering and Computing (FER) , University of Zagreb. His research focuses on cybersecurity , industrial automation , and network traffic analysis . Department of Electronics, Microelectronics, Computer and Intelligent Systems Expertise in machine learning applications for security and formal methods in SCADA systems Extensive work on anomaly detection , firewall logs , and reputation systems His recent publications examine usability of cybersecurity solutions in industrial settings, JavaScript obfuscation analysis , and synthetic log generation for security testing. Themes include network anomaly detection , endpoint security , and attack modeling . No scientific awards were explicitly mentioned in the provided text. His research also addresses real-time processor modeling and distributed intrusion detection , with practical implementations in Linux environments.
Adrijan Barić is a Researcher at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing (University of Zagreb). His work focuses on integrated circuit design, electromagnetic compatibility (EMC), and sensor systems. Expertise in CMOS technology and FPGA-based systems Developed on-chip sensors for stress effects and electromagnetic emissions Contributed to wireless sensor nodes and power converter design His research involves behavioral modeling of integrated circuits, time-domain simulations, and EMC-aware design methodologies. Key projects include: Smart temperature sensors using ring oscillators Conducted emissions analysis in DC-DC converters High-frequency modeling of surface-mount components Contact: adrijan.baric@fer.unizg.hr
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.
Professor Igor Kuzle is a Full Professor at the Faculty of Electrical Engineering and Computing (University of Zagreb), leading the Smart Grids Laboratory . His work focuses on advanced power systems, renewable energy integration, and grid stability.
Professor Davor Grgić is a Full Professor at the Department of High Voltage and Energy, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on nuclear reactor safety, thermal-hydraulic modeling, and radiation protection, particularly for systems like the IRIS reactor and NPP Krško. Current Role: Full Professor, Department of High Voltage and Energy Key Research Areas: Nuclear reactor safety, thermal-hydraulics, neutron transport, spent fuel storage, radiation dose analysis Projects: IRIS reactor design, TRACE/MELCOR code modeling, LOCA/SBO accident analysis, hybrid shielding methods Contact: Email: davor.grgic@fer.unizg.hr | Office: D-220 | Phone: 6129-994
