Find Academic Supervisors

Andrej LackovićView profile

Senior Lecturer

• Computer Science
• Education
• Information Sciences
• +3 more

Andrej Lacković is a Senior Lecturer at Algebra University of Applied Sciences in Croatia. He holds a degree in Physics and Technology with Computer Science from the Faculty of Science and Mathematics in Zagreb and is currently pursuing a doctorate in Information and Communication Sciences at the Faculty of Humanities and Social Sciences in Zagreb. Faculty of Science and Mathematics, Zagreb (Physics) Faculty of Humanities and Social Sciences, Zagreb (Information and Communication Sciences, doctoral studies) His research interests focus on the intersection of computer science and education, with emphasis on information ethics, e-learning systems, and pedagogical methods for developing critical thinking skills. He has contributed to the development of study programs in Multimedia Engineering and Applied Computing. Andrej participated in the "Competitive Croatian Higher Education for Better Employability" project (2013-2015) aimed at implementing recognition systems for non-formal knowledge and skills in higher education. His recent publications address programming solutions in MS Excel, automated attendance systems, and ethical challenges in digital education.

Davor RunjeView profile

Lecturer

• Artificial Intelligence
• Theoretical Computer Science
• Software Engineering
• +4 more

Davor Runje is a lecturer at Algebra University with extensive industry experience as a software engineer, computer scientist, and serial entrepreneur. He has co-founded multiple technology ventures including AIRT (an AI startup), DRAP (a digital agency acquired by Imago Ogilvy in 2018), and PlayMedia Systems (1997), which became a global leader in AMP MP3 playback technology. His research interests span artificial intelligence, theoretical computer science, parallel and distributed computing, and cryptography. Runje has made significant contributions to programming for multiprocessor/multicore systems, with work that later became the Task Parallel Library in the .NET framework during his time at Microsoft Research. His publication portfolio shows a clear evolution from theoretical computer science and concurrency research (2003-2009) toward machine learning and AI (2019-2025), with particular focus on neural networks, model interpretability, and security aspects of large language models. His recent work demonstrates expertise in constrained monotonic neural networks, attention mechanisms for tabular time-series, and vulnerabilities in large language models. His notable achievements include: Microsoft Research SSCLI and Phoenix 2005 awards Two US patents 20 publications in theoretical computer science and artificial intelligence Chairing the Croatian Independent Software Exporters board (2020-2024) As an active industry leader, Runje has participated in numerous legal and tax reform initiatives aimed at increasing the competitiveness of the Croatian IT sector in global markets, representing approximately one-third of the Croatian IT industry through his leadership role.

Marijo VolarevićView profile

Lecturer

• Digital Transformation
• Process Improvement
• Risk Management
• +4 more

Marijo Volarević, M.Sc., is a lecturer at Algebra University with a Master's degree from the Faculty of Electrical Engineering and Computing in Zagreb. His expertise spans digital transformation, process improvement, risk management, and information security, informed by significant international experience in management and IT leadership roles. Education: Master's in Electrical Engineering and Computing (Zagreb) His career includes roles at PLIVA, Barr (USA), Comminus, INFOTEHNA Grupa, and since 2013 as Director of eKompania at Hrvatski Telekom, driving digital transformation initiatives.

• Computer Science
• Data Science
• Artificial Intelligence
• +3 more

Prof. Dr. Martin Žagar is a faculty member at Algebra Bernays University, specializing in digital business, data science, and software engineering. He is associated with undergraduate and graduate programs in these fields. His research interests include Computer Science Data Science and Artificial Intelligence Software Engineering Cybersecurity Digital Marketing He is involved in academic leadership through teaching and program development at the university.

• Image Processing
• Computer Vision
• Pattern Recognition
• +3 more

Zoran Kalafatić, an Associate Professor at the Faculty of Electrical Engineering and Computing, is actively involved in the Image Processing Group. His research spans multiple domains within image analysis and computational methods. Primary affiliations: Image Processing Group Academic rank: Associate Professor Research Focus: Dr. Kalafatić's work centers on advanced image processing techniques, including: Color constancy and visual perception Crater detection in astronomical imagery Application of Hough Transform methods Medical imaging databases (OCT image database) Pattern recognition in astronomical cross-matching Development of DRiDB image dataset Contact: Located in office D-343, reachable via +385 1 6129 998 or zoran.kalafatic@fer.hr .

• Astronomical cross-matching
• Color constancy
• Crater detection
• +3 more

Tomislav Pribanić is an Associate Professor at the Faculty of Electrical Engineering and Computing (University of Zagreb) and a member of the Image Processing Group. His research focuses on specialized image analysis techniques and datasets. Research Areas: Astronomical cross-matching Color constancy Crater detection Hough Transform DRiDB image dataset OCT image database Contact: Office D135, Phone +385 1 6129 937, Email tomislav.pribanic@fer.hr

Kristina MastanjevićView profile

Associate Professor

• Food Safety
• Analytical Chemistry
• Brewing Technology
• +5 more

Kristina Mastanjević serves as an Associate Professor of Biotechnology at the University of Osijek's Faculty of Food Technology, Croatia. Her academic profile centers on food safety research within Biotechnical sciences, with student consultations held Mondays 9-11 AM in office 57/18 at Franje Kuhača 18, Osijek. She maintains active research engagement through publications in high-impact journals while teaching core food science disciplines. Her research program critically examines hazardous compounds in traditional Croatian food systems, specializing in polycyclic aromatic hydrocarbons (PAHs) in smoked meats (Slavonska slanina, Buđola) and malt, alongside mycotoxin contamination in brewing by-products. She pioneers analytical methodologies including GC-MS coupling with sensory analysis and computer vision systems for beer quality assessment. Additional focus areas encompass malting technology for alternative grains, brewing waste valorization, and temperature-dependent sensory properties of craft beer under Mediterranean conditions. Analysis of her 2020-2023 publications reveals consistent investigation of regional food safety challenges, particularly PAH formation mechanisms during traditional smoking processes and mycotoxin transfer through malting/brewing. Her work bridges analytical chemistry with practical food engineering solutions, addressing regulatory compliance gaps for contaminants in artisanal production while developing objective quality assessment tools through digital imaging. No scientific awards or honors were documented in the provided materials. The available information does not specify graduate student advisement activities, research grant acquisitions, laboratory facilities, or collaborative research teams associated with Dr. Mastanjević's work.

• Astrophysics
• Astronomy
• Stellar Physics
• +6 more

Dr. Tomislav Jurkić is an Associate Professor at the Department of Theoretical Physics and Astrophysics, Faculty of Physics, University of Rijeka, Croatia. He has been with the university since 2007, progressing through academic ranks from assistant to his current position as docent (Associate Professor) since July 2023. His academic journey began with a Diplomirani inženjer fizike degree from the University of Zagreb in 2005, followed by a Doctorate in Natural Sciences specializing in astronomy and astrophysics in 2012. His educational background includes: 2012: Doctor of Natural Sciences, field of physics, specialization in astronomy and astrophysics, Postgraduate Doctoral Study of Physics, University of Zagreb, Faculty of Science 2005: Diplomirani inženjer fizike (Diploma Engineer of Physics), University of Zagreb, Faculty of Science Dr. Jurkić's research focuses on astrophysics, particularly on circumstellar dust in symbiotic binary systems, variable stars, and time-domain astronomy. His work has significant implications for understanding stellar evolution, binary star interactions, and dust formation processes. He has made substantial contributions to the field through his modeling of circumstellar environments and analysis of observational data from various astronomical surveys. Analysis of his publications reveals a strong focus on symbiotic stars, particularly Mira variables with circumstellar dust. His research demonstrates expertise in applying sophisticated modeling techniques to observational data, with particular emphasis on infrared astronomy and light curve analysis. He has recently transitioned to large-scale survey astronomy through his involvement with the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) project, where he leads efforts to utilize Croatia's supercomputer 'Bura' for processing astronomical data. Dr. Jurkić has received multiple teaching excellence awards from the University of Rijeka (2020, 2022) and a presentation award at the 8th Scientific Meeting of the Croatian Physical Society (2013). His research contributions have been recognized through his membership in prestigious international organizations including the International Astronomical Union and the LSST Corporation. He has mentored numerous students through their undergraduate and graduate theses, guiding research on topics ranging from interferometry in astronomy to exoplanets and cosmic dust. His administrative contributions include serving on the Faculty Council and chairing the University of Rijeka's Online Learning Committee. Dr. Jurkić is also actively involved in science popularization, regularly giving public lectures and participating in educational outreach programs.

Vinko LešićView profile

Associate Professor

• Model Predictive Control
• Smart Grids
• Renewable Energy Systems
• +5 more

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 NovakView profile

Researcher

• Control Systems
• Machine Learning
• Energy Management
• +6 more

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.

Zvonimir ŠipušView profile

Professor

• Electromagnetic Engineering
• Antenna Design
• Metamaterials
• +7 more

Zvonimir Šipuš is a Full Professor at the Department of Communication and Space Technologies, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on advanced antenna design, metamaterials, electromagnetic engineering, and biomedical applications. He leads projects on wearable and implantable antennas, metamaterial-based systems, and optical fiber sensors. He has authored numerous papers and contributed to international conferences such as ICECom 2023. Current work emphasizes medical device integration, robotic sensor systems, and high-frequency communication technologies. His team develops solutions for on-body communication, implantable antennas, and smart textile applications. Education details are not explicitly stated but inferred through his academic role. Research areas include antenna modeling, dielectric material characterization, and electromagnetic simulations. Recent projects involve glide-symmetric metasurfaces, spherical human phantoms for antenna testing, and 3D-printed sensor systems. Collaborations span biomedical engineering, robotics, and optical communication networks. No specific awards are listed, but his extensive publication record reflects recognition in the field. Key Projects: Implantable antenna design, wearable waveguide systems, metamaterial-based lens antennas. Grants & Funding: Not explicitly mentioned in the text. Labs/Teams: Department of Communication and Space Technologies research groups.

Marko KršuljaView profile

Associate Professor

• Mechanical Engineering
• Computer Simulations
• Materials Science
• +5 more

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.

• E-learning
• Computer Science Education
• Educational Technology
• +4 more

Janko Žufić, M.Sc.ing, is a Senior Lecturer at the Faculty of Educational Sciences, University of Pula, Croatia. He holds degrees in Electrical Engineering with a major in Automation from the Faculty of Electrical Engineering and Computing (FER) in Zagreb (1993) and pedagogical competences acquired in 2001. A certified computer science professor since 2002, he has dedicated his career to bridging technology and education, with particular emphasis on e-learning systems and computer science education. Employment History: Private sector work (1993-1999), teaching roles in primary/secondary schools (1998-2002), head of IT support at Faculty of Educational Sciences (2002-present), Senior Lecturer since 2007, and part-time teacher at Algebra Group. Research Focus: E-learning optimization, microlearning, educational technology design, programming pedagogy for elementary grades, and human factors in computing. His scholarly work spans 20+ publications, with recent studies exploring ChatGPT's educational implications (2025), video-based microlearning (2024), and gamification in computer science education (2022). He has also contributed to understanding the role of color and typography in digital learning environments (2009-2019). Žufić's practical expertise includes developing Web 2.0 tools for educators (2017), creating three books, and mentoring students in producing approximately 50 films. As an active project manager, he has coordinated two EU-funded initiatives and over 80 smaller projects focused on social and technical sciences, supported by organizations ranging from Zagreb Bank to Croatian employment agencies and Istrian municipalities. His academic rank was last renewed on January 24, 2018, within the field of Information and Communication Sciences, specializing in Information Systems.

Vedran PodobnikView profile

Professor

• Social Networks
• Data Analytics
• Electric Vehicles
• +3 more

Professor Vedran Podobnik is a Full Professor at the Department of Telecommunications, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. He serves as Director of the socialLAB research group. Research focus on multi-agent systems, social network analysis, and smart grid technologies Expertise in electric vehicle infrastructure, data monetization, and context-aware service provisioning Developed agent-based models for power trading, collaborative services, and telecom process automation His publication record includes: Agent-based power trading simulations (2018, 2012, 2005) Social network influence analysis (2015) Smart grid market mechanisms (2012, 2014) Procurement strategy frameworks (2007) Digital advertising auction models (2010) The research demonstrates cross-disciplinary innovation in: Energy informatics and mobility networks Social data analytics and trust modeling Context-aware telecom services Collaborative urban computing Business intelligence in e-commerce

Ivica BotičkiView profile

Professor

• Educational Technology
• Mobile Learning
• Augmented Reality
• +3 more

Ivica Botički is a Full Professor and Head of the Department of Applied Computing at the Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His work focuses on educational technology, mobile learning, and collaborative systems. Research areas include: Augmented reality applications for education Seamless learning environments Educational robotics Intelligent algorithms for learning analytics He has led projects related to: Multiplatform mobile learning systems (In.Form, SamEx, AHyCo) Adaptive hypermedia courseware Collaborative mathematics learning in primary education Context-aware learning applications Professional activities include: Design of educational personas using generative AI Integration of conversational AI in learning systems Development of tools for gamified learning and social event recommendation Application of neural networks to cryptocurrency prediction