جست‌وجوی استاد و پژوهشگر

Tijana Dimitrijevicمشاهده پروفایل

استادیار

• Electrical Engineering
• Computer Science
• Control Systems
• +۳ مورد دیگر

Tijana Dimitrijevic is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the Faculty of Engineering Sciences, University of Kragujevac, Serbia. She is actively engaged in teaching and research within the domain of electrical and computer engineering. Her research interests span key areas in Electrical Engineering and Computer Science , including automation, control systems, embedded systems, and signal processing. These interests align closely with the technological and industrial applications emphasized in her faculty's academic mission. Tijana Dimitrijevic completed her undergraduate, master's, and doctoral studies at the Faculty of Electronics in Niš, Serbia, establishing a strong foundation in engineering sciences. She was formally elected to her current academic position on November 22, 2023, indicating her active status in the institution. While no specific scientific awards or publications were detailed in the source text, her academic profile is supported by institutional affiliation and ongoing contributions to engineering education. She advises students and contributes to academic programs, though no named advisees were listed. She is affiliated with research and educational initiatives at the Faculty of Engineering Sciences, which hosts modern laboratories and participates in national and international projects. However, specific lab memberships or team affiliations were not mentioned in the provided information.

• Machine Learning
• Computer Vision
• Emotion Recognition
• +۵ مورد دیگر

Marina Marjanovic is a faculty member at Singidunum University in Belgrade, Serbia, affiliated with the Faculty of Informatics and Computing. She maintains an active research profile with numerous publications spanning machine learning, computer vision, and signal processing applications. Her work demonstrates strong interdisciplinary connections between theoretical AI development and practical implementations in healthcare, security, and digital government services. Dr. Marjanovic earned her Doctoral degree in Signals and Systems from Universidad Politecnica de Madrid in 2007, following a Master's degree in the same field from the same institution in 2005. Her foundational education includes basic studies in Telecommunications at the Faculty of Electrical Engineering in Belgrade, and secondary education at the third Belgrade high school with a focus on natural sciences. This strong technical background has enabled her transition from traditional signal processing to contemporary AI research. Her research interests center around machine learning and computer vision, with significant contributions to emotion recognition, sign language processing, and explainable AI. She has demonstrated particular expertise in developing robust AI models that address real-world challenges such as demographic bias in age estimation systems, vulnerability to adversarial attacks in deep learning models, and accurate medical diagnostics through imaging analysis. Her recent work shows increasing focus on healthcare applications, security implications of AI systems, and making AI more transparent and interpretable. Analysis of her publication trajectory reveals a clear evolution from signal processing foundations toward contemporary AI applications. Her recent work (2022-2024) shows strong emphasis on healthcare AI, security applications, and explainability, often combining traditional machine learning approaches with novel optimization techniques. She frequently collaborates with international researchers across multiple institutions, demonstrating the global reach of her work. Dr. Marjanovic has established herself as a productive researcher with consistent publication output across reputable journals and conferences including IEEE transactions, Springer publications, and specialized AI conferences. Her collaborative approach is evident through her extensive co-authorship network spanning multiple Serbian and international institutions. She actively contributes to the academic community through conference organization (including Sinteza conferences) and participation in research projects at Singidunum University's research institutes. Her work bridges theoretical advancements with practical implementations across multiple domains, demonstrating versatility and impact across the AI research landscape.

Marko Šaracمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Blockchain Technology
• +۷ مورد دیگر

Marko Šarac is a Professor at Singidunum University in the Faculty of Informatics and Computer Science . He holds a Master's degree in Contemporary Information Technologies (2008) and a PhD in Advanced Protection Systems (2013) from the same institution. His research spans Cybersecurity, Artificial Intelligence, Blockchain, Internet of Things (IoT), Machine Learning, and Data Privacy . Education: Master: Contemporary Information Technologies, Singidunum University, 2008 PhD: Advanced Protection Systems, Singidunum University, 2013 Research Focus: SSL Traffic Security, Virtual Datacenters, Biometric Cryptography, and IoT Healthcare Systems Developed frameworks for Explainable AI in Metaverse Security , Blockchain-based IoT Security Gateways , and Machine Learning for Medical Diagnostics Notable Publications: 2025: CNN-enhanced attack detection for IoT-based Metaverse 2024: Modified Firefly Algorithm for medical dataset classification 2023: Space weather prediction using metaheuristics Projects: Co-author on 9+ books including Internet Marketing (2020) and Computer Network Security (2014) Contributed to 50+ peer-reviewed journals and conference papers on cybersecurity and AI Grants & Collaborations: Active in IEEE , ZINC , and Sinteza conference series Collaborated with researchers across Europe and Asia on IoT, Blockchain, and Cloud Security Contact: msarac@singidunum.ac.rs

Dragan Tasićمشاهده پروفایل

استاد

• Power Transmission
• Power System Components
• Power Cable Technology
• +۶ مورد دیگر

Prof. Dr Dragan Tasić is a distinguished Professor at the Power Engineering Department of the Faculty of Electronic Engineering, University of Niš, Serbia. With decades of academic and research experience, he has established himself as a leading expert in power transmission, power system components, and electrical cable technology. His work spans theoretical research, practical applications, and educational contributions to the field of electrical engineering. Dr. Tasić's research interests focus on power transmission systems, electrical cable technology, relay protection, power system analysis, and grounding systems. His work particularly emphasizes thermal aspects of power cables, electrical energy losses in distribution networks, and innovative solutions for improving cable performance. He has pioneered research on thermal management of underground cables, including the use of hydronic asphalt pavements and cool pavements to eliminate hot spots and increase cable ampacity. His publication record demonstrates consistent productivity with numerous books, journal articles, and conference papers spanning over three decades. Recent research (2019-2023) shows continued innovation in areas such as thermal aging management of underground cables, photovoltaic system integration, and optimization of distribution networks with energy storage. His work frequently employs advanced computational methods including Finite Element Method (FEM) and hybrid optimization algorithms. Dr. Tasić has led and participated in numerous significant research projects funded by Serbian government agencies, focusing on energy efficiency, power system optimization, and technological improvements in electrical distribution networks. His work has practical applications in the Serbian power industry and contributes to international knowledge in electrical engineering. As an educator, Dr. Tasić has contributed to curriculum development and has authored multiple textbooks that are widely used in electrical engineering education in Serbia. His teaching focuses on core power engineering subjects including power transmission, electrical networks, and power cable technology.

• Electronic Music
• Algorithmic Composition
• Audio Signal Processing
• +۲ مورد دیگر

Zlatko Baracskai is a Bosnian-Hungarian experimental musician, sound programmer, and academic. He currently serves as a Senior Lecturer at the University of West of England in the Faculty of Computer Science and Creative Technologies, while also holding a Visiting Professor position at the Faculty of Music in Belgrade's Music Direction Study Program since 2020. His academic journey includes a sonology degree from the Institute of Sonology in Den Haag and a PhD in contemporary composition from the University of Birmingham (2011). Research interests span Electronic music composition Algorithmic sound processing Experimental audio technologies Neural network applications in music Asymmetrical rhythm development His publications demonstrate technical expertise in audio algorithm design and neural networks for sound manipulation, with conference papers presented at AES, ICMC, and IEEE SpliTech. Notable projects include Coca-Cola Beatbox Pavilion (2012) and De-Fuse Interactive Installation (2005).

• Artificial Intelligence
• Neural Networks
• Image Processing
• +۳ مورد دیگر

Petar Biševac is a Lecturer at the Faculty of Informatics and Computing within Singidunum University , Belgrade. His academic work focuses on applied artificial intelligence and machine learning. Education : Not explicitly detailed in available texts. Research Interests : Spanning Artificial Intelligence , Neural Networks , Image Processing , and Metaheuristic Optimization , his research emphasizes hybrid AI systems for biomedical signal processing, cryptocurrency forecasting, and image analysis. Publications : Recent works include anomaly detection in ECG/EEG signals, vehicle damage recognition, and Ethereum price forecasting using LSTM and metaheuristic algorithms. Collaborations : Frequently works with researchers like Nebojsa Bacanin, Milan Zivkovic, and Predrag Spalević. Contact : Email pbisevac@singidunum.ac.rs

• Fluid Dynamics
• Thermodynamics
• Applied Mathematics
• +۵ مورد دیگر

Dr. Srboljub Simić is a full professor at the University of Novi Sad's Faculty of Science, Department of Mathematics and Informatics. His research focuses on applied analysis, particularly in fluid dynamics, thermodynamics, and mathematical physics. He specializes in multi-component gas mixtures, shock wave propagation, and non-equilibrium systems, with contributions to extended thermodynamics and kinetic models. His work bridges theoretical analysis and computational methods, addressing challenges in capillary phenomena, diffusion processes, and hyperbolic systems. Recent research emphasizes multi-temperature models for polyatomic gases and the mathematical treatment of shock structures. His articles explore entropy production, energy methods for Boltzmann equations, and numerical studies of diffusion in complex mixtures. These contributions advance understanding of rarefied gases and non-equilibrium flows, often employing advanced analytical techniques like the maximum entropy principle and asymptotic analysis. No scientific awards or grants are explicitly mentioned in the provided texts. Dr. Simić has not listed formal advisees, though his teaching includes courses like Mathematical Foundations of Economics and English language training for students. His professional activities include organizing academic events like the 7th International Congress of Serbian Society of Mechanics. Research collaborations and affiliations are centered within the university's mathematics and informatics department, with international involvement in fields like computational fluid dynamics and thermodynamic systems analysis.

P. N. Karthikمشاهده پروفایل

استادیار

• Multi-armed bandits
• Federated learning
• Differential privacy
• +۷ مورد دیگر

P. N. Karthik is an Assistant Professor in the Department of Artificial Intelligence at the Indian Institute of Technology (IIT) Hyderabad. He holds a Ph.D. and Master of Science in Engineering from the Indian Institute of Science (IISc), Bengaluru, advised by Prof. Rajesh Sundaresan, and was previously a Research Fellow at the National University of Singapore (NUS) working with Prof. Vincent Y. F. Tan. Research Interests: His primary research areas include multi-armed bandits, federated learning, differential privacy, reinforcement learning, information theory, and statistics. He focuses on sequential decision-making under uncertainty, privacy-aware learning systems, and optimization in distributed environments. Publication Trends: His recent work centers on best arm identification in various bandit settings, including restless, federated, and differentially private frameworks. These studies, published in top venues like IEEE Transactions on Information Theory, AISTATS, ISIT, ICLR, and AAAI, reflect a strong theoretical foundation with practical implications in AI and data science. Scientific Awards: Faculty Teaching Excellence Award 2025, IIT Hyderabad First place, Electronics and Communication Engineering category, 100 seconds competition, INAE Kanpur Chapter Teaching and Mentoring: He teaches courses such as Stochastic Processes and Programming for AI, receiving consistently high instructor ratings (up to 4.95/5.0). He mentors TAs and emphasizes conceptual clarity, active learning, and student engagement. He has collaborated with industry and government bodies like BMTC and Netradyne on transportation research. Academic Service: He serves on technical program committees for ISIT and APWDSIT and has organized events like the 2024 JTG/IEEE ITSoc Summer School. His collaborators include prominent researchers such as Vincent Y. F. Tan, Rajesh Sundaresan, Krishna Jagannathan, and Yeow Meng Chee.

Dragan D. Mancicمشاهده پروفایل

استاد

• Electronics
• Power Electronics
• Ultrasonic Transducers
• +۱۲ مورد دیگر

Dragan D. Mancic is a full professor at the Faculty of Electronics, University of Niš, Serbia, where he has been actively contributing since earning his PhD in 2002. He holds a permanent academic position in the Department of Electronics and continues to engage in national research projects and scientific publications. Research Interests: His work spans electronics, power electronics, ultrasonic transducers, piezoceramics, impedance spectroscopy, and thermal modeling. He applies these to areas such as renewable energy systems, friction stir welding, and ceramic material characterization. His interdisciplinary focus bridges electrical engineering, materials science, and applied physics. The recent publications highlight consistent research in transducer design, thermal analysis in manufacturing, and electrical characterization of doped ceramics. These works reflect a strong trend toward modeling, simulation, and experimental validation in both biomedical and industrial applications. Scientific Projects: EE-273023B: Development of solar radiation receivers TR-33035: Grid-connected rotating photovoltaic system III-43014: Remote sensing and environmental monitoring Dr. Mancic has co-authored three monographs and has 15 publications in journals with impact factors. He advises students and researchers through collaborative projects and academic supervision, though specific advisees are not listed. He is actively involved in scientific research management under the Ministry of Science. Labs and Research Teams: He collaborates within research groups focused on power electronics, ultrasonic systems, and advanced materials at the Faculty of Electronics in Niš, contributing to both theoretical and applied engineering solutions.

• Electromagnetic Compatibility (EMC)
• Lightning Electromagnetic Fields
• Lightning Current Modeling
• +۷ مورد دیگر

Vesna Javor is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where she is affiliated with the Department of Electrical Power Engineering. She earned her PhD in 2009 and completed her undergraduate studies in 1999, both in Theoretical Electrical Engineering at the same institution. She was promoted to full professor in 2023. Her research focuses on lightning electromagnetic fields , lightning current modeling , electromagnetic compatibility (EMC) , and power system transients . She has made significant contributions to modeling double- and two-peaked lightning currents, Fourier transform applications in field computation, and compliance with IEC 62305 standards. Her work bridges theoretical electrical engineering with practical applications in high-voltage systems and medical device safety. The recent publications (2009–2012) reflect a strong focus on lightning physics, transient electromagnetic phenomena, and EMC. They span modeling techniques, standard compliance, and real-world deployment of lightning detection networks. Keywords across these works include Electromagnetics, Power Systems, and Signal Processing, with subfields ranging from return-stroke dynamics to medical EMC. Scientific and Professional Leadership: President of the IEEE EMC Chapter Head of DAAD Project 'Electrical Engineering' (2005–2006) President of the Organizing Committee of the biennial PES Conference Author of 3 textbooks and ~80 scientific papers She is currently participating in 2 national and 1 international research project . While no formal advising or grant details are listed, her role as a full professor and project leader suggests active mentorship and research leadership. She has contributed to international monographs and advanced educational and research initiatives at her faculty. She is associated with the research environment at the Faculty of Electronics, particularly in high-voltage and EMC research, and has led efforts in deploying the European LINET lightning detection network in Serbia.

• Organic Chemistry
• Polymer Chemistry
• Analytical Chemistry
• +۵ مورد دیگر

Aleksandra D. Mitrovic is an Assistant Professor at the Department of Organic Chemistry, University of Belgrade's Faculty of Chemistry. She holds a Ph.D. in Chemistry from the same institution (2010-2017) and has been affiliated with the Faculty since 2010, progressing through roles including Junior Research Assistant (2010-2011), Teaching Assistant (2011-2018), and Assistant with PhD (2018-2019). Her research focuses on organic chemistry, polymer synthesis, environmental toxicology, and analytical methods. She has received notable awards including the DAAD Fellowship (2012) and Humboldt Research Fellowship (2018). Mitrovic leads and contributes to projects funded by the European Commission and OPCW, including IMPTOX (2021-2025) and MECWA FCUB CIA (2017-2021). She is a member of the Serbian Chemical Society and Humboldt-Club Serbien, and serves on the Faculty of Chemistry's Board since 2023. Her educational responsibilities include teaching Organic Chemistry 1 & 2, Chemistry of Macromolecules, and Polymer Synthesis courses. Research highlights include developing analytical platforms for microplastic toxicity studies and novel synthetic methodologies. She has authored over 15 peer-reviewed articles in journals like Chemical Science , RSC Advances , and Angewandte Chemie International Edition . Education: BSc and PhD in Chemistry from University of Belgrade (2004-2017) Key Projects: IMPTOX (Horizon 2020, 2021-2025): Investigating microplastic toxicity MECWA (OPCW, 2017-2021): Chemical analysis methodologies Awards: Humboldt Fellowship, DAAD Fellowship, and OPCW collaboration grants Lab Affiliation: Department of Organic Chemistry laboratory 416

• Applied Computer Science
• Software Engineering
• Domain-Specific Languages
• +۳ مورد دیگر

Prof. Igor Dejanović is a Regular Professor at the Department of Informatics, Faculty of Technical Sciences, University of Novi Sad. He holds a BSc (2000) and MSc (2008) in Computer Science from the same institution, followed by a PhD in 2012 with a thesis on 'Contributions to Methods of Rapid Software Development Based on Extensible Domain-Specific Specifications'. Positions Held: 2000–2004: Technical Associate at Faculty Computing Center 2004: Selected as Assistant Professor 2008: Promoted to Assistant Professor 2012: Promoted to Associate Professor 2017: Promoted to Full Professor Research focuses on domain-specific languages, software patterns, model-driven development, and software configuration management. He has contributed extensively to software engineering methodologies and education in technical informatics.

• E-Learning Systems
• Digital Archiving
• Computer Science
• +۳ مورد دیگر

Dragan Ivanović is a Regular Professor at the University of Novi Sad's Faculty of Technical Sciences, Department of Informatics. He completed his BSc in 2006 with a thesis titled 'E-Learning System Based on IEEE LOM Standard,' earning the Milena Maric-Ainstein Award. He earned his PhD in 2010 with a thesis on scientific content storage systems, later published as a monograph. His academic journey includes scholarships from Serbian governmental and educational bodies. Bachelor's in Computer Science and Informatics (2006) Master's in Computer Science and Informatics (2006) PhD in Informatics (2010) His research focuses on digital archives, e-learning systems, and multimedia technologies. He has published 25 scientific papers, including 8 in SCI-indexed journals. He teaches courses such as Computer Basics, Multimedia, and Digital Archives, and conducts exercises in programming and web development. Awards include the 2011 Serbian Informatics Society Award for Best Scientific Work. He has collaborated with industry, including Levi9 Global Sourcing (2005), and has held academic roles since 2007.

• Software Engineering
• Formal Methods
• Program Verification
• +۳ مورد دیگر

Бранко Маркоски is a Professor at the Department of Informatics , Faculty of Technical Sciences , University of Novi Sad. He holds a PhD in Computer Science with a dissertation titled 'Resolvent Method for One-Pass Symbolic Testing of Partitioned Program Structures' (2007). His academic journey includes a Master's in Computer Science (2000) focusing on 'Program Testing and Deductive Verification of Correctness', and a Diploma in Automation and Computer Technology (1994). Education : Bachelor's in Automation and Computer Technology, Faculty of Technical Sciences (1987–1994) Master's in Computer Science, Faculty of Technical Sciences (1994–2000) PhD in Computer Science, Faculty of Technical Sciences (2007) Research Interests : Focus on software testing methodologies, formal verification, and program correctness. His work emphasizes symbolic testing techniques and automated approaches to software validation. Awards : Recipient of Spartak Diplomas for academic excellence Winner of multiple competitions in Mathematics and Physics during secondary school Additional Expertise : Fluent in English, active involvement in sports as a basketball delegate.

• Software Development Methodologies
• Agile Methodologies
• Modeling Complex Business Systems
• +۳ مورد دیگر

Гордана Милосављевић is a Full Professor at the Department of Informatics, Faculty of Technical Sciences, University of Novi Sad. She holds a BSc in Computer Science (1995), MSc in Software Development (2001), and PhD in Information Systems (2010). Her career includes roles as Research Assistant (1998-2002), Associate Professor (2010), and Full Professor (2015). Research Focus: Specializes in model-driven software development, agile methodologies, and complex business system modeling. Her work emphasizes rapid development of adaptive business information systems. Affiliations: Member of the Computer Science and Informatics Department, affiliated with the University of Novi Sad. Active in academic governance and curriculum development in technical sciences.