Algorithms and Data Structures Professors and Supervisors in Croatia

Rebeka Čorićمشاهده پروفایل

مدرس

University of OsijekCroatia

Rebeka Čorić is a Lecturer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. She holds a PhD in Computing from the Faculty of Electrical Engineering and Computing, University of Zagreb (2021), an MSc in Mathematics from the University of Osijek (2014), and a BSc in Mathematics from the same institution (2011). Her research focuses on fitness landscape analysis, genetic programming, scheduling optimization, and container relocation problems. She actively contributes to projects like the Hyper-Heuristic Design for Container Relocation (Croatian Science Foundation, 2023-2027) and has co-authored over 10 peer-reviewed publications in journals like *Expert Systems with Applications* and *Journal of Language Modelling*. Her teaching includes courses on Heuristic Algorithms, Web Programming, Data Structures, and Deep Learning for Natural Language Processing. Her research has addressed diverse topics, including energy-efficient container relocation rules, Croatian verb stem analysis via neural networks, and pollen concentration prediction using RNN-based models like PollenNet. She has also explored hyperheuristic approaches to scheduling problems and fitness landscape analysis in genetic programming. Her work bridges theoretical advancements with practical applications in logistics, linguistics, and environmental science. Professionally, she has presented at international conferences (e.g., GECCO, MIPRO) and contributed to service activities like workshops at the Festival of Science and teaching at summer schools. Her current projects emphasize automated heuristic design and optimization techniques across multiple disciplines.

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Željka Tomasovićمشاهده پروفایل

دانشیار

University of ZadarCroatia

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.

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Ante Panjkotaمشاهده پروفایل

استادیار

University of ZadarCroatia

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.

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Andrea Andrijaševićمشاهده پروفایل

مدرس

Polytechnic of RijekaCroatia

Andrea Andrijašević is a lecturer at Split University of Applied Sciences, affiliated with the Department of Electrical Engineering. She teaches courses including Algorithms and Data Structures, Internet Communication, Programming, and Fundamentals of Electrical Engineering. Consultation hours are Thursdays 2:00-5:00 PM, with adjustments noted for July 2025. Education details: PhD in Technical Sciences (university unspecified). Her teaching focuses on foundational computer science and electrical engineering topics, including procedural programming, operating systems, and machine learning basics. No specific research interests or publications are detailed in the profile.

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Željka Carمشاهده پروفایل

استاد

University of ZagrebCroatia

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.

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Antonio Petošićمشاهده پروفایل

استاد

University of ZagrebCroatia

Prof. Dr. sc. Antonio Petošić is a Full Professor at the Department of Electroacoustics, Faculty of Electrical Engineering and Computing, University of Zagreb. He serves as Deputy Head of the Department and leads the Laboratory for Determining Properties of Complex Materials Using Acoustic Methods (LOSKSAM). His research spans transformer acoustics, wind turbine noise, building acoustics, ultrasound transducers, and noise barriers. Department: Electroacoustics Academic Rank: Professor Email: antonio.petosic@fer.unizg.hr His work includes modeling wind turbine noise under varying meteorological conditions, exploring HVAC noise, and developing beamforming algorithms for acoustic cameras. He contributes to open-access educational materials in acoustics through the Acoustics Knowledge Alliance project. Research interests include: Transformer noise localization using adaptive beamforming Electromechanical characterization of piezoceramics Urban soundscape perception influenced by avian vocalizations Genetic algorithm optimization for noise barriers and FPGA systems Sound insulation measurement uncertainties He has developed laboratory exercises in electroacoustics and digital audiotechnics while maintaining active collaborations in biomedical ultrasound and smart city noise reduction.

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Danko Baschمشاهده پروفایل

استاد

University of ZagrebCroatia

Prof. Dr. Danko Basch is a Full Professor at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His work focuses on microprocessor architecture , memory management algorithms , and simulation tool development . In research, Basch has contributed to: Computer Architecture Simulation : ATLAS toolset development Garbage Collection Algorithms : Copying, generational, and marking algorithms Simulation Languages : GPSS++ and Java extensions Memory Management Systems : Allocation strategies and performance optimization His work also extends to educational tools (FRISC/ARM processor guides) and software development (AGCS simulator, Moodle extensions).

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Petar Žugecمشاهده پروفایل

دانشیار

University of ZagrebCroatia

Associate Professor Petar Žugec is affiliated with the Department of Experimental Physics at the Faculty of Natural Sciences and Mathematics , University of Zagreb. He actively contributes to both undergraduate and graduate teaching , covering core topics in Physics 1, Physics 2, Symbolic Programming , and specialized courses in Nuclear Physics and Particle Physics . As a member of the CERN n_TOF collaboration , he focuses on neutron cross-section measurements critical for astrophysics and nuclear reactor applications . His research involves experimental nuclear physics using advanced detector systems , including Segmented Total Energy Detectors (sTED) and Compton gamma cameras . He participates in projects like PRECIOUS and SAT-PHENO , aiming to improve neutron capture data for stellar nucleosynthesis modeling . Recent publications emphasize machine learning applications in resolution function parametrization and event classification for high-precision experiments. His work at the CERN n_TOF facility addresses challenges in high count rate scintillation detectors and neutron-induced fission studies , particularly for 235U and 239Pu . He contributes to gamma-ray polarization research in positron emission tomography and has co-authored technical guidelines for detector setup characterization . No scientific awards or student advisement details were explicitly mentioned in the provided texts.

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Katarina Kostelićمشاهده پروفایل

استادیار

Juraj Dobrila University of PulaCroatia

Katarina Kostelić, Ph.D., serves as an Assistant Professor at the Faculty of Informatics in Pula, part of Juraj Dobrila University of Pula. She earned her doctorate in 2017 and maintains an active role in both undergraduate and graduate education, teaching courses including Social Network Analysis, Quantitative Methods of Business Decision Making, Operations Research, Statistics, and Business Analytics. Her office is located at room 13 (Negrijeva ulica 6; university campus). Dr. Kostelić's research spans multiple interconnected domains, with a strong emphasis on game theory applications in decision-making processes, social network analysis, and cybersecurity. Her work frequently examines how awareness (or lack thereof) influences strategic interactions, with particular attention to emotional intelligence in organizational contexts. She has made significant contributions to understanding business networks, tourism economics, and statistical methodologies. Analysis of her recent publications reveals a clear trajectory toward increasingly complex applications of game theory in cybersecurity contexts, alongside continued exploration of social networks in tourism and business environments. Her research demonstrates interdisciplinary reach, connecting computer science, economics, psychology, and management studies. The integration of neutrosophic sets in satisfaction measurement and the application of TOPSIS frameworks to cybersecurity risk assessment highlight her methodological innovation. Dr. Kostelić serves in multiple editorial capacities, including Managing Editor of Applied Sciences and Business Economics, Member of the Editorial Board of Journal of Interdisciplinary Sciences, and Member of the Editorial Team for Symmetry. She has also contributed to the popularization of science through accessible explanations of strategic situations, game theory applications in cybersecurity, and business network dynamics. Her research leadership is evident through projects including 'Analysis of social networks in Croatian tourism' (2019-2022), 'Role of emotions in strategic decision-making' (2019-2023), and contributions to international collaborations like MEGASFORA and SMART INNO. Dr. Kostelić has also developed educational resources, most notably her 2024 publication 'Introduction to R and RStudio,' supporting statistical education.

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Quoc Chi Nguyenمشاهده پروفایل

استاد

Ruđer Bošković InstituteCroatia

Professor Quoc Chi Nguyen serves as Vice Dean of the Faculty of Mechanical Engineering at Ho Chi Minh City University of Technology, Vietnam. He also holds the position of Head of the Department of Mechatronics since 2018. With a strong academic background including a Ph.D. from Pusan National University, Korea, and a Marie Curie FP7 postdoctoral fellowship at Tel Aviv University, Professor Nguyen has established himself as a leading researcher in control engineering and robotics. Professor Nguyen's educational journey began with a B.S. in Mechanical Engineering from Ho Chi Minh City University of Technology in 2002, followed by an M.S. in Cybernetics from the same institution in 2006. He completed his Ph.D. in Mechanical Engineering at Pusan National University, Korea, in 2012, and then pursued postdoctoral research at Tel Aviv University from 2013-2014. His research expertise spans Robotics , Crane Control , Vibration Control , Nonlinear Analysis , Dynamic Analysis , and Advanced Control Theory . Professor Nguyen's work focuses on developing innovative control algorithms for flexible structures, industrial automation systems, and mechatronic applications. His recent publications demonstrate a strong emphasis on practical industrial applications of control theory, including robotics integration, computer vision systems, and energy-efficient pneumatic systems. With 58 publications that have accumulated 32,041 reads and 782 citations, Professor Nguyen has established a significant research impact. His publication trend shows consistent productivity with recent work extending to projected 2025 publications, indicating an active and ongoing research program. The breadth of his work spans from fundamental control theory to practical industrial applications across multiple sectors including manufacturing, agriculture, and logistics. Marie Curie FP7 Postdoctoral Fellowship Professor Nguyen currently leads research activities through his lab at Ho Chi Minh City University of Technology. His leadership roles as Vice Dean and Department Head provide substantial resources and opportunities for research collaboration. With numerous co-authors and international connections, particularly stemming from his time at Tel Aviv University, he maintains an active global research network that benefits his students and colleagues.

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