فیلترهای فعال:

جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۱۶-۳۰ از ۶۱ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Andrej Novakمشاهده پروفایل

دانشیار

University of ZagrebCroatia

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.

پروفایل رسمی دانشگاه

Romeo Šajinaمشاهده پروفایل

مدرس

Juraj Dobrila University of PulaCroatia

Romeo Šajina is a Lecturer at the Faculty of Informatics in Pula, Croatia, affiliated with the University of Pula . His work focuses on computer science, machine learning, and applied informatics, with publications in areas such as neural networks, time series forecasting, and image processing. University: University of Pula School: Faculty of Informatics His research spans disciplines like Artificial Intelligence , Data Science , and Imaging Technology , emphasizing practical applications in time series modeling and computer vision. Recent publications highlight advancements in deep learning architectures and hybrid data analysis techniques. Articles demonstrate expertise in Neural Networks , Predictive Analytics , and Computer Vision , often published in IEEE and Journal of Imaging . Collaborations with researchers like Marina Ivašić-Kos and Nikola Tanković appear in multiple works. No scientific awards or student advisement details are documented in the provided materials. Further inquiries may be directed via email at romeo.sajina@unipu.hr .

پروفایل رسمی دانشگاه

Sven Lončarićمشاهده پروفایل

استاد

University of ZagrebCroatia

Academician Professor Sven Lončarić serves as a Full Professor in the Department of Electronic Systems and Information Processing at the Faculty of Electrical Engineering and Computing, University of Zagreb. With his office located in room D-119 and contactable via phone at 6129-891, he maintains an active presence in both teaching and research activities within the institution. His work bridges theoretical computer science with practical applications across multiple domains. Professor Lončarić's research spans computer vision, image processing, and deep learning with significant contributions to medical imaging, particularly in retinal analysis using optical coherence tomography. His work in color constancy and illumination estimation has advanced techniques for handling multi-illuminant scenes, while his research in ultrasound image analysis has practical applications in non-destructive testing. He also explores computer security aspects of machine learning models, particularly in backdoor detection and removal. His recent publications demonstrate a strong trend toward applying deep learning techniques to solve complex problems in medical imaging, retail automation, and industrial applications. The concentration of work in retinal imaging and color constancy shows his commitment to advancing computer vision fundamentals while simultaneously addressing practical challenges in healthcare and industry. His research increasingly incorporates anomaly detection methods and robust security practices for machine learning systems. Professor Lončarić actively contributes to the academic community through organizing events like the Croatian Computer Vision Workshop and the First Croatian Symposium on Artificial Intelligence, providing platforms for knowledge exchange in his fields of expertise. His work on astronomical data processing demonstrates the versatility of his methodological approaches across diverse scientific domains. Within the Department of Electronic Systems and Information Processing, he participates in the Center of Excellence for Computer Vision, contributing to the institution's research profile in artificial intelligence and computer vision. His work on medical imaging applications connects the faculty with healthcare institutions, facilitating interdisciplinary collaborations that translate technical advances into medical practice.

پروفایل رسمی دانشگاه

Luka Postružinمشاهده پروفایل

مدرس پاره‌وقت

Algebra University CollegeCroatia

Luka Postružin is a part-time lecturer at Algebra University and a Solution Architect at Ericsson Nikola Tesla dd. He holds a Master of Science in Computer Engineering from the Faculty of Electrical Engineering and Computing, Zagreb. His career spans international software development, entrepreneurship in training/consulting, and academic instruction. Education: M.Sc. Computer Engineering (Faculty of Electrical Engineering and Computing, Zagreb) Current Roles: Part-time lecturer, Solution Architect, and self-employed consultant Expertise: Programming, software tools, international team collaboration His research and teaching interests focus on programming technologies, software engineering practices, and data science applications. Luka balances academic work with industry experience, including six years developing globally used software tools abroad. He has demonstrated organizational and communication excellence through international cooperation and project management. Luka owns a training/consulting business, emphasizing skill development for clients and students.

پروفایل رسمی دانشگاه

Mateja Đumićمشاهده پروفایل

استادیار

University of OsijekCroatia

Mateja Đumić is an Assistant Professor at the School of Applied Mathematics and Informatics , Josip Juraj Strossmayer University of Osijek, Croatia. With a PhD in Computing from University of Zagreb (2020) and MSc/BSc in Mathematics from University of Osijek, she specializes in genetic programming , automated heuristic design , and combinatorial optimization problems. PhD in Computing (2020), University of Zagreb MSc in Mathematics (2014), University of Osijek BSc in Mathematics (2011), University of Osijek Her research focuses on solving container relocation problems and resource-constrained scheduling through evolutionary computation techniques. She has pioneered automated design of relocation rules using genetic programming , achieving superior performance over manual methods while exploring multi-objective optimization (including energy consumption), ensemble learning for heuristic improvement, and rollout algorithms to enhance solution quality. Recent work demonstrates how genetic programming can outperform traditional metaheuristics in maritime logistics, while her 2024 studies investigate multitask learning approaches for container relocation scenarios. She also explores fitness landscape analysis to optimize genetic programming parameters and develops automated priority rules for both static and dynamic scheduling environments. Professor Đumić teaches computer science , heuristic algorithms , database systems , and mathematical competitions at both undergraduate and graduate levels. She actively participates in international conferences including GECCO , CEC , and COST Action Training Schools .

پروفایل رسمی دانشگاه

Marko Bosiljevacمشاهده پروفایل

دانشیار

University of ZagrebCroatia

Marko Bosiljevac is an Associate Professor at the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), specifically within the Department of Communication and Space Technologies. He has held academic roles since 2006, progressing from Research Assistant to his current position. His research focuses on electromagnetic transmission structures, antennas, metasurfaces, remote sensing systems (including ground-based synthetic aperture radars and fiber optic sensors), and biomedical antenna applications. He has been recognized with the Silver Plaque 'Josip Lončar' for his doctoral work and scientific contributions. Affiliations: Member of FER's ERASMUS Committee since 2016, coordinator for Information and Communication Technologies student exchange programs, and elected member of the University of Zagreb Council for Technical Sciences since 2022. Education: PhD (2012) and MSc (2005) in Electrical Engineering from FER. Research Interests: Bosiljevac’s work spans advanced antenna design, metamaterials, biomedical sensors, and remote sensing. He has pioneered glide-symmetric metasurfaces and contributed to implantable antenna development. His research emphasizes practical applications in healthcare, telecommunications, and environmental monitoring. Articles: His publications reflect a focus on antenna innovation, biomedical applications, and radar systems. Recent trends include deep learning integration for object classification and optimizing antenna performance in complex environments. Awards: Silver Plaque 'Josip Lončar' (2012), and ongoing recognition for contributions to antenna theory and biomedical engineering. Advising & Grants: Manages a Croatian Science Foundation project and bilateral initiatives. He has supervised numerous projects and contributed to over 100 publications. His leadership roles include organizing workshops and editorial work for journals like Automatika . Labs & Teams: Co-founded the Applied Optics Lab (AOLab) at FER, focusing on optical sensors, nonlinear optics, and passive optical networks. Collaborates internationally with institutions like EPFL, KTH, and UC3M.

پروفایل رسمی دانشگاه

Jelena Franjkovićمشاهده پروفایل

استاد

University of OsijekCroatia

Jelena Franjković, PhD is a Professor at the Department of Marketing , Faculty of Economics and Business , University of Osijek . She previously worked as a Foreign Markets Manager at Kandit d.o.o. (2012–2014) before joining academia. Her role includes teaching and research in marketing, logistics, and supply chain management. Research interests focus on retail strategies , employee turnover , data analytics , and sustainability . She has authored/co-authored over 20 scientific papers in journals and conferences, addressing topics like IoT in automotive maintenance, political marketing’s role in democracy, and consumer behavior in multichannel retailing. Organizing Committee Member: International conferences on Business Logistics (since 2014) and Interdisciplinary Management Research (2018–2019) Erasmus+ Project Participation: Two international projects and coordinator for incoming Erasmus+ students Teaching Responsibilities: Pricing strategies, logistics design, and supply chain management courses Her work emphasizes applied research , bridging theory with practical challenges in retail, logistics, and organizational behavior. Recent studies explore AI-driven predictive maintenance and non-price factors shaping retail price image.

پروفایل رسمی دانشگاه

Drago Žagarمشاهده پروفایل

استاد

University of Slavonski BrodCroatia

Drago Žagar is a Full Professor at the Faculty of Electrical Engineering, Computer Science and Information Technologies (FERIT), University of Osijek, where he also serves as Head of Department. He has been permanently appointed since 2015 and has a long-standing affiliation with the institution since 1990, with brief periods at other units within the same university. His educational background includes a B.Eng. (1990), M.Sc. (1995), and Ph.D. (2002), all from the Faculty of Electrical Engineering and Computing in Zagreb. His research spans key areas in modern networking and information systems, including communication networks and protocols , quality of service , cybersecurity , and IoT applications in agriculture and logistics . His recent work emphasizes energy-efficient monitoring, anomaly detection using machine learning, smart labels for supply chains, and adaptive video streaming. The 15 most recent publications reflect a strong trend in applying sensor networks and data analytics to real-world problems in agriculture, network security, and multimedia systems. The interdisciplinary nature of his work bridges computer networks, industrial informatics, and smart technologies. He has led significant projects such as Smart Label for Measuring and Monitoring Product Storage , IoT Ecosystems for Agriculture , and Boosting Telecommunications Engineering Education under Erasmus+. He also managed national and EU-funded initiatives focused on broadband access in rural areas and IPv6 security. He has mentored numerous students and authored key educational materials, including laboratory manuals in computer networks and electronics. His teaching includes courses on Computer and Mobile Networks and Computer Systems Security . He is actively engaged in research, with publications in journals such as Sensors , Electronics , Journal of Industrial Information Integration , and Telecommunications Systems . His work is indexed in Google Scholar, Scopus, Web of Science, and CRORIS.

پروفایل رسمی دانشگاه

Azra Tafroمشاهده پروفایل

دانشیار

University of ZagrebCroatia

Azra Tafro is an Associate Professor at the University of Zagreb's Faculty of Forestry and Wood Technology, located in pavilion IV, room 124. She holds a PhD and has been affiliated with multiple institutions, including the Faculty of Electrical Engineering and Computing and the Faculty of Natural Sciences and Mathematics. Her research focuses on applied statistics, extreme value theory, and digital image/signal processing. She is fluent in Croatian and English. Education & Professional Development: 2019–present: Assistant Professor at Faculty of Forestry and Wood Technology 2018–2019: Postdoctorate at Faculty of Electrical Engineering and Computing 2014–2018: Junior Postdoctoral Researcher 2008–2014: Junior Researcher Research Interests: Dr. Tafro’s work spans statistical methodologies, environmental applications (e.g., forest microclimate analysis), medical imaging (PET reconstruction), and socio-behavioral studies (e.g., religiosity’s impact on sexual behavior). She employs advanced techniques like Gaussian mixture models and Bayesian analysis to address interdisciplinary challenges. Publications & Trends: Her work bridges statistical theory and practical applications, with recent focus on environmental sustainability, medical imaging optimization, and youth behavioral studies. Key themes include FSC certification dynamics in Croatia, sexual health risk analysis, and PET imaging algorithm development. Awards & Grants: No specific awards listed, but her research has been supported through institutional grants and collaborations. Labs & Teams: Affiliated with the Department of Wood Technology and collaborates across faculties in multidisciplinary projects.

پروفایل رسمی دانشگاه

Iva Ištokمشاهده پروفایل

دانشیار

University of ZagrebCroatia

Dr. Iva Ištok is an Associate Professor at the University of Zagreb's Faculty of Forestry and Wood Technology, specializing in wood technology and anatomical properties. She has been engaged in postdoctoral research since 2018 and has held roles at the university since 2011. Her work focuses on investigating wood anatomical properties, particularly in fast-growing broadleaf trees, and addressing environmental impacts like heavy metal contamination. Education and Professional Background: PhD in Forestry and Wood Technology Postdoctoral Researcher (2018–current) Junior Researcher and Assistant (2011–2017) Research Interests: Dr. Ištok’s research emphasizes wood identification techniques and the effects of environmental factors on wood structure. Key areas include anatomical variations in Populus, Quercus, and Fraxinus species, as well as the impact of pollutants like heavy metals. Her studies also explore sustainable forestry practices and bioenergy production from wood resources. Recent Publication Trends: Her recent work (2017–2024) highlights advancements in wood defect detection via machine learning, fungal impacts on bark-stripped trees, and anatomical responses to nitrogen fertilization. Her studies often bridge applied forestry with ecological and material science principles. Labs and Facilities: She collaborates within the Department of Wood Technology’s laboratories, focusing on anatomical and physical wood analysis. Her research contributes to Croatia’s forestry policy and sustainable resource management initiatives.

پروفایل رسمی دانشگاه

Anamarija Peterمشاهده پروفایل

استادیار

University of ZagrebCroatia

Anamarija Peter is an Assistant Professor at the University of Zagreb Faculty of Agriculture , specifically within the Department of Sustainable Technologies and Renewable Energy Sources. Her work focuses on renewable energy systems and sustainable resource management. PhD in Sustainable Technologies and Renewable Energy (2019–2024) Master of Science in Agroecology (2014–2017) M.A. in Environmental Health Engineering (2014–2017) Her research spans renewable energy , biomass utilization , and invasive species management . She investigates biofuel properties of underutilized plant material and applies machine learning to predict biomass energy value. Recent publications highlight trends in invasive plant valorization , artificial neural networks for energy crop modeling, and waste management strategies. Her work connects Croatian ecosystems with global sustainability challenges. Projects include: LIFE OrnamentalIAS – Partner in invasive species management Erasmus+ Zero Food Waste – Coordinator for EU youth education

پروفایل رسمی دانشگاه

Siniša Slijepčevićمشاهده پروفایل

استاد

University of ZagrebCroatia

Prof. Siniša Slijepčević serves as a Full Professor in the Department of Mathematics at the Faculty of Science, University of Zagreb, where he is affiliated with the Division of Probability Theory and Mathematical Statistics. He teaches core courses including Probability and Statistics at undergraduate levels, Introduction to Actuarial Mathematics at graduate levels, and Investments and Asset Management in specialist programs. His research bridges pure and applied mathematics, with primary focus on dynamical systems and ergodic theory applied to financial modeling. Key contributions include theoretical work on Frenkel-Kontorova models, Arnold diffusion, and variational methods, alongside practical applications in credit risk assessment, financial valuation, and business cycle analysis using Sharkovsky's theorem. Recent publications demonstrate a strategic pivot toward data science integration in finance and marketing. Analysis of his 15 most recent publications (2000-2024) reveals a consistent trajectory from foundational dynamical systems theory toward interdisciplinary applications. Early work emphasized mathematical physics (e.g., Navier-Stokes asymptotics, Lagrangian systems), while recent research increasingly incorporates machine learning techniques for behavioral data analysis and marketing optimization, reflecting evolving industry demands in quantitative finance. Prof. Slijepčević actively supervises doctoral research and contributes to EU-funded projects under the department's research office (including QuantiXLie and BioMedMath initiatives), though specific grant details are not publicly itemized. His teaching portfolio across four academic levels confirms ongoing mentorship in probability theory and financial mathematics.

پروفایل رسمی دانشگاه

Nikola Sandrićمشاهده پروفایل

استاد

University of ZagrebCroatia

Nikola Sandrić serves as a Professor in the Division of Probability Theory and Mathematical Statistics within the Department of Mathematics at the Faculty of Science, University of Zagreb. His academic role encompasses teaching and research in quantitative disciplines. His research spans foundational and applied areas of probability and statistics, with particular emphasis on: Ergodic theory of diffusion processes Stochastic modeling Statistical inference methods Machine learning mathematical foundations Econometric theory High-dimensional data analysis He teaches core courses including Introduction to Data Analysis (undergraduate) and advanced graduate subjects like Econometrics and Mathematical Fundamentals of Machine Learning, reflecting the integration of theoretical probability with modern computational applications. His current research focuses on long-term behavior analysis of stochastic systems. Office consultations are held Wednesdays from 12:00–14:00, with professional activities centered at the Department of Mathematics in Horvatovac 102a, Zagreb.

پروفایل رسمی دانشگاه

Goran Gvozdenمشاهده پروفایل

مدرس

Algebra University CollegeCroatia

Goran Gvozden is a lecturer at Algebra University , specializing in artificial intelligence and machine learning applications for business optimization. As a principal AI consultant with over a decade of experience, he focuses on leveraging advanced language models and generative AI technologies to enhance data-driven decision-making and operational efficiency. PhD in Electrical Engineering from the University of Zagreb, Faculty of Electrical Engineering and Computing (FER) Expertise in AI-driven product development, project management, and IT operations Regular speaker at international conferences on applied AI His research interests revolve around the integration of AI into business processes, emphasizing automation and conversational solutions. While specific publications are not listed, his work centers on practical applications of machine learning and analytics in professional contexts.

پروفایل رسمی دانشگاه

Hrvoje Jerkovićمشاهده پروفایل

استادیار

Algebra University CollegeCroatia

Hrvoje Jerković is an Assistant Professor at Algebra University , holding a Ph.D. in Applied Computing from the Faculty of Electrical Engineering (2012). Specializing in disruptive technologies, he bridges research and practical implementation in data science, machine learning, and artificial intelligence applications within business and industry. Focus areas: business informatics, information systems management Teaching: Disruptive technologies courses Professional expertise: Certified machine learning/deep learning programs His work emphasizes translating computational innovations into real-world solutions across societal and industrial contexts.

پروفایل رسمی دانشگاه