جستجوی استاد راهنمای دانشگاهی

• Educational Technology
• Informatics Education
• Programming Pedagogy
• +۳ مورد دیگر

Snježana Babić serves as Associate Professor and Head of the Graduate Study Program Informatics - Teaching Major at the Faculty of Informatics in Pula , University of Pula. With a PhD obtained in 2016 and university affiliation since 2017, she teaches across undergraduate and graduate programs focusing on ICT fundamentals, web design, digital competencies, and informatics education methodology. Her educational background includes graduation in 1993 followed by doctoral studies culminating in 2016. Though specific institutions aren't detailed in the text, her career trajectory shows progression from foundational ICT teaching to specialized informatics education leadership. Babić's research centers on educational technology adoption with particular emphasis on programming pedagogy for young learners through the MEMA method. Her work investigates digital competencies across multiple educational contexts, from primary schools to higher education. Recent publications demonstrate rapid adaptation to emerging technologies, with 2025 studies examining ChatGPT integration in Croatian educational settings and cross-cultural applications of programming methods. Analysis of her 15 most recent publications reveals consistent focus on technology acceptance models applied to Croatian educators and students. The research trajectory shows evolution from foundational e-learning systems (2016-2020) to cutting-edge AI and robotics applications (2022-2025), maintaining strong methodological focus on teacher motivation , implementation barriers , and culturally-specific adoption factors . Her teaching portfolio demonstrates deep integration with research interests: Undergraduate: ICT Fundamentals, Web Design and Application Graduate: Digital Competencies in Education, Informatics Education Methodology, Practicum for IT Educators Cross-disciplinary: ICT in Nursing, Healthcare Informatics Babić actively contributes to institutional leadership as program head while maintaining robust research productivity. Her work bridges theoretical technology adoption frameworks with practical implementation challenges in Croatian educational contexts, particularly examining how emerging technologies like humanoid robots and AI assistants can be effectively integrated into teaching practices.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Goran Oreški is an Associate Professor and Head of the Laboratory at the Faculty of Informatics in Pula (University Jurja Dobrile, Croatia), where he has been employed since 2019. He teaches courses on databases, object-oriented programming, data warehousing, and artificial intelligence at both undergraduate and graduate levels. Education: Ph.D. in Informatics (2016), Faculty of Organization and Informatics Industry Experience: 9 years as software architect and programmer in banking sector Research Focus: Artificial Intelligence systems, classical machine learning algorithms, and deep learning architectures. His work bridges theoretical advancements with practical applications in autonomous vehicles, traffic monitoring, and financial risk assessment. Recent Publication Trends: 2023-2025 works emphasize generative AI for synthetic credit data, traffic object segmentation with monocular cameras, and context-aware detection models (YOLO*C). Earlier works focus on genetic algorithms and ensemble learning for imbalanced datasets. Awards: Google RFP Award for autonomous vehicle research Highly Cited Paper (Web of Science, top 1%) Best Paper at CECIIS conference Leadership: Director of FIPU Laboratory since 2022, leading projects like ai.Shuttle (autonomous mini-bus) and CenAI (industry collaboration with Cenosco).

Mile Šikićمشاهده پروفایل

استاد

• Computational Biology
• Genomics
• Deep Learning in Sequencing
• +۴ مورد دیگر

Prof. Mile Šikić is a Full Professor at the Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing (University of Zagreb). His research spans computational biology, genomics, and machine learning applications in sequencing technologies. Focus on nanopore sequencing analysis, genome assembly, and protein interaction prediction Developed tools like GraphMap , RiNALMo , and Orthobalancer Active in metagenomics, RNA structure prediction, and CUDA-based algorithm acceleration Scientific contributions include: Advances in de novo genome assembly for error-prone long reads Deep learning models for base modification detection Efficient algorithms for sequence alignment and similarity searches Technical implementations cover: GPU-accelerated sequence alignment libraries (e.g., SW# ) Web platforms for comparative protein analysis Simulation tools for epidemic spread on complex networks

Igor S. Pandžićمشاهده پروفایل

استاد

• Computer Vision
• Virtual Humans
• Facial Animation
• +۷ مورد دیگر

Prof. Dr. Igor S. Pandžić is a Full Professor at the Department of Telecommunications , Faculty of Electrical Engineering and Computing (FER) , University of Zagreb . He is also affiliated with the Center of Excellence for Computer Vision , actively contributing to research in computer graphics, virtual humans, and interactive systems. Education: While specific degrees are not listed in the provided text, his title "prof. dr. sc." (Croatian for Full Professor with a Doctor of Science degree) indicates he has completed doctoral studies and achieved the highest academic rank. Research Interests: Virtual Humans & Avatars: Creation, animation, and behavioral modeling of lifelike virtual characters for interactive applications. Facial Animation & Biometrics: Real-time speech-driven facial animation, facial expression recognition, age/gender estimation, and biometric data filtering. 3D Graphics & Virtual Environments: Real-time rendering, networked collaborative virtual environments (e.g., VLNET), and 3D visualization on mobile/web platforms. Human-Computer Interaction: Multimodal interfaces combining speech, gesture, and facial cues for embodied conversational agents (ECAs). Computer Vision: Face alignment, landmark detection, pattern recognition with decision trees, and efficient algorithms for mobile deployment. Research Trends from Publications: His recent work (2022-2023) emphasizes efficiency in computer vision (e.g., fast face alignment, memory-efficient models), unsupervised learning for biometric data quality improvement, and real-time applications on mobile devices. Earlier foundational work spans MPEG-4 facial animation standards, networked virtual environments, and virtual human frameworks. Scientific Awards: No specific awards are mentioned in the provided text. Advising & Grants: While individual students are not named, his extensive publication record and leadership in research centers imply active supervision of PhD and Master's students. Grant details are not specified. Labs & Teams: He leads or heavily contributes to the Center of Excellence for Computer Vision at FER, fostering interdisciplinary collaboration in visual computing and AI.

• Electromagnetic Theory
• Applied Mathematics
• Numerical Methods
• +۳ مورد دیگر

Dario Bojanjac is an Assistant Professor at the Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on mathematical modeling of electromagnetic processes, numerical methods for Maxwell's equations, and applied mathematics techniques like asymptotic analysis. He holds a PhD in mathematics (2015) and electrical engineering (2009), with extensive visiting scholar experience at institutions such as École Polytechnique Fédérale de Lausanne (EPFL) and the University of Michigan. Education: PhD in Mathematics (2015), Faculty of Science, University of Zagreb PhD in Electrical Engineering (2009), Faculty of Electrical Engineering and Computing His research interests include electromagnetic wave scattering, homogenization of Maxwell's equations, and computational electromagnetism. Recent work explores ground-based SAR systems, deep learning applications in radar data analysis, and flood classification using multivariate approaches. He has received awards including the Swiss Government Excellence Scholarship and Croatian Government Fellowship. His projects include satellite electromagnetic field measurements and metamaterial-based invisibility cloak realization. He participates in lab initiatives like AOLAB2 and coordinates projects such as BODYSEN and HybridAccess. Awards: Swiss Government Excellence Scholarships CIME Foundation Fellowship European Science Foundation Fellowship Bojanjac has advised on multiple research projects and contributed to educational initiatives like the MILE interactive learning system. His lab collaborations include work on sensor systems and optical communication technologies.

Dalibor Paarمشاهده پروفایل

دانشیار

• Cave Microclimate
• Karst Systems
• Geochemistry
• +۶ مورد دیگر

Dalibor Paar serves as an Associate Professor in the Department of Experimental Physics at the Faculty of Science, University of Zagreb. His academic appointment includes teaching undergraduate Physics courses (36208 and 37632), integrated Physics programs (171101 and 171109), and specialized courses in science popularization and computer applications in teaching. He actively supervises graduation theses and contributes to educational innovation through demonstration experiment design. His research spans two primary domains: cave microclimate dynamics in the Dinaric Karst and physics education methodology. In karst studies, he investigates CO 2 dynamics, radon concentrations, magnetic susceptibility of cave sediments, and climate change impacts on deep cave systems like Samograd Cave and Modrič Cave. His educational work focuses on developing demonstration experiments, integrating micro:bit and Arduino technologies into physics instruction, and promoting science popularization in primary/secondary schools through field-based learning and STEM initiatives. Analysis of his 15 most recent publications reveals strong interdisciplinary integration between geoscience and physics education. Karst research dominates with 11 papers examining microclimate controls, geochemical processes, and environmental monitoring in Croatian caves, while 4 papers address physics pedagogy including demonstration experiments, misconceptions in physics learning, and early STEM education. This dual focus creates unique synergies where cave environments serve as natural laboratories for both environmental research and science education. No scientific awards were documented in the provided materials. His research collaborations include the CARDIKARST project examining karst systems in the global carbon cycle and multidisciplinary investigations of Velebit Mountain's deep cave systems. He actively contributes to thesis supervision and has developed educational resources including the STEM educator manual "STEM u neformalnom obrazovanju za zanimanja 21. stoljeća". Professor Paar's field research centers on the Northern Velebit National Park cave systems, particularly the Lukina jama–Trojama cave complex (-1,431 m), where he conducts microclimate monitoring and geochemical analysis. His educational initiatives include the "STEAM Lika" field teaching program and development of the "Jama Varnjača" educational trail concept. He maintains strong connections with Croatian speleological societies and contributes to national cave conservation efforts through scientific monitoring and policy recommendations.

Nataša Lucićمشاهده پروفایل

دانشیار

• Family Law
• Children's Rights
• Legal Protection of Vulnerable Groups
• +۷ مورد دیگر

Nataša Lucić is an Associate Professor and Head of the Department of Family Law at the Faculty of Law, Josip Juraj Strossmayer University in Osijek, Croatia. She holds a PhD in Law and has been an active faculty member since 2008, with a strong focus on family law, children’s rights, and legal protection of vulnerable groups. She leads the interdisciplinary lifelong learning program "Children in the Judiciary" and contributes to national and international legal discourse. PhD in Law, Josip Juraj Strossmayer University in Osijek (2015) Bachelor of Law, Faculty of Law Osijek (2003) Her research centers on family law, particularly cohabitation, child participation in legal proceedings, domestic violence, and legal security. She has authored two scientific books and numerous peer-reviewed articles, with a consistent focus on improving legal frameworks for families and children. Her work emphasizes interdisciplinary collaboration between law and social work, as seen in her publications on child advocacy and institutional trust. The most recent publications reflect a strong engagement with child rights, legal pluralism, and the impact of crises like the pandemic on domestic violence protections. Her work bridges Croatian legal practice with European and international standards, especially in family law and cross-border issues. Scientific Awards: Award for excellence in teaching and relationship with students, Faculty of Law Osijek, 2019 Lucić actively supervises academic programs and contributes to judicial training, including leading the "Basic professional training for judicial officials working with children." She has participated in numerous international scientific projects and currently contributes to the internal project "Legal Protection of Families and Vulnerable Groups of Society." She also mentors students through editorial roles and academic committees. She is a member of the editorial board of the journal "EU and Comparative Law Issues and Challenges" (ECLIC), the Scientific Committee of the student journal "Pravnik," and serves as Vice-President of the Croatian Association for Legal Protection of Families and as a member of the International Association for Family Law. Her interdisciplinary work and leadership in legal education reflect a deep commitment to systemic reform and child-centered justice.

• E-business
• E-learning
• Information Systems Quality and Assurance
• +۳ مورد دیگر

Lucija Blašković serves as Assistant Professor at the Department of Information Science and Mathematics within the Faculty of Agriculture, University of Zagreb. She has maintained continuous affiliation with the university since 2003, progressing from Assistant to Postdoctoral Researcher (2015) and currently holding her assistant professorship since 2017. Her office is located in the 5th Pavilion, 3rd floor, room 65, with consultations held Wednesdays 11am-1pm. Her academic credentials include: PhD in Information and Communication Sciences from Faculty of Humanities and Social Sciences, University of Zagreb Master of Economics (mag. oecc) in Information Management from Faculty of Economics, University of Zagreb Master of Economics in Marketing from Faculty of Economics, University of Zagreb Dr. Blašković specializes in digital transformation of agricultural systems , with core expertise in E-business implementation , E-learning pedagogy , and information systems quality assurance . Her research bridges computational methodologies with agricultural education, examining data literacy frameworks, influencer marketing efficacy for agricultural products, and machine learning applications in farming systems. Analysis of her 15 most recent publications (2024-2015) reveals three dominant research trajectories: (1) Pandemic-driven digital adaptation in agricultural education and consumer behavior, (2) Computational methods (K-means, CNNs) for educational and agricultural data analysis, and (3) Strategic implementation of e-learning systems in agricultural higher education. Her work consistently applies technical solutions to domain-specific agricultural challenges. She has secured research leadership through competitive grants: "Mjesto i uloga informatike u razvitku poljodjelskih sustava: primjer Hrvatske" (2017-2019, MZOS-funded) as Project Coordinator "Mogućnosti i oblici primjene optimiziranja proizvodnje na obiteljskim poljoprivrednim gospodarstvima" (2017, University of Zagreb-funded) as Project Coordinator Her teaching portfolio spans communications systems, agricultural information systems, AutoCAD drafting, and e-commerce, reflecting her interdisciplinary approach to agricultural informatics education.

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.

Davor Runjeمشاهده پروفایل

مدرس

• Artificial Intelligence
• Theoretical Computer Science
• Software Engineering
• +۴ مورد دیگر

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.

Toni Pranićمشاهده پروفایل

مدرس

• Microsociology
• Social Justice
• Social Inequalities
• +۳ مورد دیگر

Toni Pranić serves as an active faculty member at the Faculty of Law Osijek, part of Josip Juraj Strossmayer University of Osijek, where he has been employed since 2014. As a Lecturer in the Department of Family Law, he teaches sociology courses across multiple study programs including Administrative Studies, Law, and Social Work. His office is located at Radićeva 17 in Osijek, with consultation hours held Wednesdays from 12:30 to 14:00 for regular students and by appointment for part-time students. Pranić holds a Master of Arts in Sociology and completed doctoral coursework at Corvinus University in Budapest up to the rigorosum level. Since 2024, he has been pursuing his doctorate at Lorand Eotvos University in Budapest under Dr. Peter Bodor's supervision, focusing on the microsociological approach to justice. His educational trajectory demonstrates deep commitment to sociological and legal scholarship. His research critically examines microsociological dimensions of justice, social inequalities, and digitalization through qualitative methodologies. Pranić's work bridges legal frameworks with sociological theory, particularly investigating how cultural contexts shape perceptions of justice in environmental protection, social services, and legal institutions. This interdisciplinary approach reveals systemic patterns in social exclusion and institutional responses. Pranić's publications consistently explore law-society intersections, with recent works analyzing environmental justice through sociological lenses, mapping social services as educational tools, and examining law as cultural phenomenon. These studies collectively emphasize how micro-level social interactions influence legal consciousness and institutional legitimacy, highlighting recurring themes of power dynamics and social stratification. From 2018 to 2024, Pranić contributed to academic discourse as junior editor of Pravni vjesnik journal. No scientific awards or fellowships are documented in available sources. He teaches core sociology courses including Basics of Sociology, Sociology Seminar, and Poverty and Social Exclusion across undergraduate programs. While actively engaged in doctoral research, there is no indication of formal graduate student supervision or externally funded research grants. His current scholarly work focuses on completing his dissertation on microsociological justice frameworks at Lorand Eotvos University. No laboratory affiliations, research teams, or collaborative projects are mentioned in the source materials, though his editorial work with Pravni vjesnik indicates institutional engagement within the law faculty's academic ecosystem.

• Fluid Dynamics
• Mathematical Biology
• Partial Differential Equations
• +۳ مورد دیگر

Boris Muha is a Professor in the Department of Mathematics at the University of Zagreb's Faculty of Science. His research focuses on fluid-structure interaction, mathematical modeling in biomechanics, and numerical analysis of partial differential equations. He has contributed extensively to the analysis of complex systems involving fluid dynamics, poroelasticity, and nonlinear structural mechanics. Key research areas include the mathematical analysis of fluid-structure interaction problems, computational methods for porous media, and the development of reduced-order models using deep learning. Recent work emphasizes rigorous derivation of reduced models, validation of solvers for fluid-poroelastic systems, and optimal design of bioartificial organ scaffolds. His publications from 2024–2025 highlight advancements in global weak solutions for fluid-structure systems, nonlinear geometric coupling, and applications to biomedical engineering. Notably, he explores self-propulsion mechanisms in viscous fluids and stability analysis of coupled systems. Awards and grants are not explicitly listed in the provided text. His advising and collaborations span interdisciplinary projects in computational fluid dynamics and mathematical biology, with active participation in international research networks.

Mira Lulićمشاهده پروفایل

استاد

• International Law
• Human Rights
• Public International Law
• +۱۱ مورد دیگر

Mira Lulić is a full professor with tenure at the Faculty of Law Osijek, Josip Juraj Strossmayer University of Osijek, where she has been employed since 1994. She is affiliated with the Department of International Law and Legal Theory Sciences and Methodology and teaches across undergraduate, graduate, doctoral, and specialist programs. She is the leader of the Postgraduate Specialist Study in Human Rights and has held leadership roles in numerous academic and professional bodies. Education: Doctor of Law, Faculty of Law, University of Zagreb, 2005 Master of Laws, Faculty of Law, University of Split, 1999 Graduate in Law, Faculty of Law Osijek, 1993 Her research interests center on international law and human rights , with particular focus on minority rights, children's rights, genocide, anti-discrimination law, diplomatic law, and the peaceful settlement of disputes. She has published extensively on public international law and legal methodology, contributing to both national and international scholarly discourse. Her academic work emphasizes the interplay between legal theory and practical application in international relations and human rights protection. The most recent publications reflect a consistent trajectory in international human rights law , state sovereignty , self-determination , and legal protection of vulnerable groups . Her scholarly output spans doctrinal analysis, case studies (e.g., Chechnya, Kosovo, Croatia), and institutional evaluations (e.g., ICJ, UN, Ombudsman). The articles demonstrate deep engagement with treaty law, customary norms, and evolving challenges in international jurisprudence. Professional Memberships and Service: International Law Association Croatian Academy of Legal Sciences Croatian Society of International Law Croatian Association of Comparative Law Croatian Society of Maritime Law Panel for Law, Croatian Science Foundation Scientific Council for Peace and Human Rights Member, Main Committee for the Field of Law, Agency for Science and Higher Education Mira Lulić has led significant research projects, including the Ministry-funded Protection of Minority Rights in International Law and National Legislation (2006–2014). She has served in key academic governance roles, such as president of the Commission for the Suppression of Nepotism at her university and member of the Council of the Doctoral School. She mentors doctoral and specialist students and contributes to curriculum development across multiple programs. Her leadership in establishing and directing the Postgraduate Study in Human Rights highlights her commitment to specialized legal education. She is actively involved in collaboration with NGOs, ombudsmen’s offices, and legal professionals, particularly in the fields of international law and human rights. Her work bridges academia and public service, contributing to policy and institutional development in Croatia and beyond.

Tomislav Sedlarمشاهده پروفایل

دانشیار

• Wood Technology
• Non-destructive Testing
• Mechanical Properties of Wood
• +۴ مورد دیگر

Tomislav Sedlar is an associate professor at the Faculty of Forestry and Wood Technology, University of Zagreb, located at pavilion IV, room 142. He holds a PhD and has served in academic roles since 2009, progressing from assistant to his current rank. His work focuses on wood technology, material science, and non-destructive testing of wood properties. He teaches courses in special wood products and communicates in Croatian and English, with consultations available Tuesdays 10-11 AM. Professional Experience: 2024–current: Associate Professor 2019–2024: Assistant Professor 2015–2019: Postdoctorate 2009–current: Faculty of Forestry and Wood Technology, University of Zagreb Research interests include wood mechanical properties, composite reinforcement, defect detection via deep learning, and the application of novel testing methods. His work bridges traditional wood science with modern materials engineering, emphasizing sustainability and structural preservation of historical timber structures. Publications span over 15 years, with recent trends in assessing wood durability through steam treatment, fiber implant efficacy, and non-destructive evaluation techniques. His studies often explore juvenile/mature wood transitions and environmental impacts on material properties. No scientific awards are explicitly listed, though his extensive publication record reflects significant contributions. He advises no listed students but collaborates on interdisciplinary projects through the Faculty's institutes, including the Institute of Wood Science and the Institute for Materials Technology. Labs/Teams: Active in multiple university institutes focusing on wood technology, materials science, and forest engineering. His research often involves cross-departmental collaborations on cultural heritage preservation and sustainable forestry practices.

• Applied Mathematics
• Partial Differential Equations
• Numerical Mathematics
• +۴ مورد دیگر

Andrej Novak is an Associate Professor at the Theoretical Physics Department , Faculty of Science, University of Zagreb. He holds a PhD in Mathematical Models of Flow in Porous and Mixed Media (2017) and a Master's in Mathematical Model of Piano String (2011), both from University of Zagreb. Research Interests span: (1) Partial Differential Equations & Mathematical Modeling, (2) Numerical Solutions of PDEs, (3) Data Analysis Algorithms (bioinformatics/medical applications). Current focus includes shock filter equations, medical image processing, and cardiovascular pharmacotherapy modeling. Key Projects include leading the 2024 HRZZ-funded 'From PDEs to Deep Learning: Advancing Medical Image Processing' and contributing to projects like 'Analysis of partial differential equations and shape optimization' (HRZZ, 2023). He has participated in international collaborations including Austrian-funded 'Vanishing Capillarity on Smooth Manifolds' (2019). Teaching responsibilities include courses like Computational Neuroscience, Introduction to Computer Science, and Numerical Mathematics. He advises on C++ programming, AI fundamentals, and mathematical modeling across undergraduate and graduate levels. Publications highlight contributions in journals like Archive for Rational Mechanics and Analysis (2024), Applied Soft Computing (2025), and Canadian Journal of Cardiology (2025), focusing on interdisciplinary applications of PDEs, machine learning in healthcare, and image processing techniques.