جستجوی استاد راهنمای دانشگاهی

Zoran J. Stankovicمشاهده پروفایل

استاد

• Antenna Design and Optimization
• Direction of Arrival (DoA) Estimation
• Artificial Neural Networks in Electromagnetics
• +۷ مورد دیگر

Zoran J. Stankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, in the Department of Telecommunications. He has been an integral part of the institution since earning his PhD in 2007, progressing from Assistant to Associate Professor (2020) and Full Professor (2024). He is actively involved in research, education, and academic leadership. Education: PhD in Telecommunications, Faculty of Electronics, University of Niš (2007) Master's in Telecommunications, Faculty of Electronics, University of Niš (2002) Bachelor's in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1994) His research focuses on applying artificial neural networks to solve complex problems in electromagnetics and wireless systems. Key areas include antenna design optimization , direction-of-arrival (DoA) estimation , microwave cavity modeling , and smart textile antennas . His work bridges machine learning with electromagnetic theory, enabling efficient and adaptive RF system design. The analysis of his recent publications reveals a strong trend in using deep and hybrid neural networks for electromagnetic modeling and signal processing. His research emphasizes real-world applications such as wearable antennas, mobile source tracking, and intelligent antenna systems, often published in high-impact IEEE and Wiley journals. Scientific Awards: Commemorative Plaque from the Yugoslav Society for Microwave Techniques and Technologies (2005) for outstanding scientific results in microwave engineering Advising and Grants: While specific students are not listed, he has supervised numerous academic works. He has participated in 17 research projects (13 national, 4 international including DAAD, NATO, COST) and 8 educational development projects (including ERASMUS+, TEMPUS, WUS). These reflect sustained funding and academic collaboration. Labs and Teams: He is the founder and head of the Laboratory for Antennas and Propagation at the Faculty of Electronics, Niš. He is actively involved in organizing and leading the international conferences TELSIKS and ICEST , serving on their program and organizational committees, demonstrating strong leadership in the academic community.

Miloš Rackovićمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Databases
• +۴ مورد دیگر

Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.

• Control Systems
• Machine Learning
• Robotics
• +۶ مورد دیگر

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

Ivan Z. Milentijevicمشاهده پروفایل

استاد

• Computer Science
• Electrical Engineering
• Digital Signal Processing
• +۳ مورد دیگر

Professor Ivan Z. Milentijevic is a full professor at the Faculty of Electronics in Niš, University of Niš, within the Department of Electrical Engineering and Computer Science. He earned his PhD in Computer Science from the same institution in 1998, following a Master's (1994) and undergraduate degree (1989) in the same field. His research focuses on systolic arrays, digital signal processing architectures, and project-based learning methodologies. He has published 8 papers in journals with impact factor and is currently involved in 1 domestic and 1 international research project. Research interests include: Optimal design of systolic arrays for matrix operations FIR filter architectures and error-tolerant systems Reconfigurable hardware and parallel processing Educational technologies in project-based learning His recent work (2002–2008) emphasizes configurable architectures for signal processing and collaborative learning systems. Earlier contributions (1996–1998) focused on systolic array optimization for linear algebra operations. Advising/grants: No explicit student/advisor relationships listed. Current projects involve 1 domestic and 1 international collaboration. Grants and funding details not specified. Labs/teams: Affiliated with the Faculty of Electronics' research groups in computer engineering and signal processing, though specific lab names are not mentioned.

Aleksandar Jevremovićمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Cybersecurity
• Internet of Things (IoT)
• +۶ مورد دیگر

Aleksandar Jevremović is a Full Professor at the Faculty of Informatics and Computing, Singidunum University (Belgrade, Serbia), and holds multiple academic and professional roles. He is the Serbian representative at the UNESCO IFIP Technical Committee on Human-Computer Interaction since 2018. He has served as Vice-Dean of his faculty (2015–2018) and held visiting professorships at institutions like Ss. Cyril and Methodius University (North Macedonia) and Tallinn University (Estonia). His research focuses on cybersecurity, IoT, AI, and e-learning innovation. Education and Affiliations: External Researcher at the Mathematical Institute of the Serbian Academy of Sciences and Arts Visiting Scholar at Cyprus Interaction Lab (Cyprus University of Technology) Alumni/Postdoc Researcher at Tallinn University's HCI Group Member of IEEE and the Informatics Association of Serbia Research Interests: Jevremović’s work spans cybersecurity (e.g., intrusion detection, secure IoT protocols), human-computer interaction (HCI), AI-driven education tools, and neurotechnological applications like EEG-based assessment systems. He emphasizes practical solutions for digital safety, such as children’s online protection and cryptographic key generation from biometric data. Grants and Projects: Member of the External Advisory Committee for the EU-funded ONTOCHAIN project (2022–2023) Mentor for training schools like AAPELE Training School and NET4Age-Friendly initiatives Trainer in IoT, cybersecurity, and health promotion programs across Europe Labs and Teams: He collaborates with interdisciplinary teams on projects like CASPER (Children Agents for Secure and Privacy Enhanced Reaction) and led the development of WIDE, a collaborative web development education platform.

Sandra M. Đosićمشاهده پروفایل

دانشیار

• Electronics
• Real-Time Systems
• Fault-Tolerant Systems
• +۷ مورد دیگر

Sandra M. Đosić is an Associate Professor at the Faculty of Electronics in Niš, University of Niš, Serbia, specializing in Electronics and Embedded Systems. She has been actively contributing to research in real-time systems, fault tolerance, wireless sensor networks, and indoor localization technologies. Research Interests: Her work spans fault-tolerant real-time systems, energy-efficient computing, UWB-based indoor localization, and communication protocols for wireless sensor networks. She explores techniques such as dynamic voltage and frequency scaling (DVFS), tone-based contention resolution, and deflection routing in networks-on-chip to enhance system reliability and efficiency. Publication Trends: Her recent publications (2009–2022) demonstrate a strong focus on improving robustness and performance in embedded and distributed systems. The research integrates signal processing, network optimization, and energy-aware design, primarily applied in industrial and indoor environments. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students are listed, she is currently participating in two national research projects, indicating active involvement in funded research. Her collaborations with researchers such as Igor Stojanovic and Milica Jovanovic suggest a strong team-based research approach. Labs and Research Teams: Although no formal lab or team name is specified, her repeated co-authorship with colleagues from the Faculty of Electronics implies active participation in a research group focused on electronics, communications, and real-time systems.

• Quality Control
• Environmental Chemistry
• Analytical Chemistry
• +۳ مورد دیگر

Prof. Dr. Aleksandra Perić-Grujić is a Full Professor at the Department of Analytical Chemistry and Quality Control within the Faculty of Technology and Metallurgy at the University of Belgrade . She has been active in academia since 2013, with a focus on quality control systems and environmental chemistry. Her work spans pharmaceutical industry standards, instrumental analytical methods, and laboratory accreditation. Email: alexp@tmf.bg.ac.rs Office: TMF building, room 252b Research Interests include: Environmental Chemistry: Monitoring heavy metals in water, soil, and sediments Analytical Chemistry: Development of instrumental methods and chemometric models Quality Control: Pharmaceutical industry standards, accreditation of laboratories Adsorption Materials: Chitosan-based hydrogels for pollutant removal Chemometrics: Data analysis techniques for metal alloys and environmental studies Food Industry Applications: Quality management in food production and distribution Recent Publications address topics like metal alloy similarity modeling, heavy metal adsorption by hydrogels, and chemometrics in environmental analysis. Her work demonstrates interdisciplinary applications of analytical chemistry in pollution control and industrial quality assurance. Mentoring involves guiding students in doctoral and master's theses on themes such as: Heavy metal removal using waste materials Quality management in pharmaceutical and polymer industries Chemical analysis of consumer products and environmental samples Standardization of laboratory practices and industrial processes

Jelena Miloševićمشاهده پروفایل

استادیار

• Structural Systems
• Spatial Structures
• Structural Morphology
• +۲ مورد دیگر

Jelena Milošević is an Assistant Professor at the Department of Architectural Technologies, University of Belgrade - Faculty of Architecture. She serves as Vice-Dean for Teaching and Student Affairs and specializes in structural systems, spatial structures, morphology, and optimization of structures. Her research combines computational design, digital fabrication, and sustainable construction methods. Education: Graduated in Architecture, University of Belgrade (2006) Enrolled in doctoral studies (2009) Her research focuses on generative design approaches for architectural structures, performance-based optimization, and applications of 3D printing in construction. She investigates biomimetic pattern applications in structural design and develops parametric workflows for complex geometries. Recent work explores circular economy potentials in architectural production through recycled materials and additive manufacturing. Publications demonstrate a strong focus on digital fabrication technologies in architectural education and practice. Recent articles examine hybrid pedagogical approaches integrating 3D printing technologies into design studios, material efficiency in additive-manufactured structural systems, and sustainable applications of recycled materials in digital fabrication. She has participated in research projects including 'Development and application of scientific methods in design and construction of highly economical structural systems using new technologies' funded by the Ministry of Education, Science and Technological Development of Serbia.

• Environmental Science
• Sustainable Development
• Ecological Conservation
• +۳ مورد دیگر

Vuk Gajić is an Assistant Professor at the Faculty of Applied Ecology, Singidunum University, where he has held academic roles since 2016. His career progression includes positions as a teaching associate (2016), assistant (2019), and current role (2023). He earned a Ph.D. in Environment and Sustainable Development from Singidunum University (2019–2022), following prior studies in environmental protection and risk management at the same institution. Research interests span environmental science, sustainable development, GIS applications, and radiation technology for waste and food treatment. He has contributed to interdisciplinary studies, including soil contamination analysis in Libya, microbial decontamination via ionizing radiation, and machine learning applications for software defect prediction and agricultural weed detection. His work bridges environmental engineering with technological innovation, emphasizing sustainability and ecological conservation. Publications reflect a focus on environmental monitoring, pollution assessment, and eco-technologies. Key themes include GIS-based environmental databases, forest fire prevention through sensor networks, and agricultural waste reuse. His research often integrates quantitative methods with geospatial tools, addressing both local and global environmental challenges. Teaching responsibilities include courses on geodiversity, sustainable development, and natural hazards. He actively participates in academic conferences, contributing to peer-reviewed journals and presenting at events like Sinteza and SETI. Current projects likely explore emerging technologies in environmental management and sustainable practices.

Vladimir M. Ciricمشاهده پروفایل

استاد

• Computer Networks
• Network Security
• Parallel Computing
• +۳ مورد دیگر

Dr. Vladimir M. Ciric is a Full Professor at the Faculty of Electronics, University of Niš, leading the Department of Computer Science. He directs the Laboratory for Advanced Security Systems and specializes in network security, distributed systems, and high-performance computing. His research spans intrusion detection systems, cloud computing cost modeling, and parallel algorithm design. Notable contributions include Hadoop-based network intrusion detection techniques and tiered programming pedagogy. He received the Cisco Excellence Award (2015) for network technology education. Dr. Ciric teaches courses on network design, cloud computing, and security while maintaining research collaborations in cybersecurity and distributed architectures. His recent work focuses on extreme class imbalance in intrusion datasets and sparse matrix optimizations.

• Sensor Technologies
• Innovation Management
• Entrepreneurship Ecosystems
• +۳ مورد دیگر

Tamara Papić is an Assistant Professor at Singidunum University in Belgrade, specializing in Innovation Management and Entrepreneurship. She holds a Ph.D. in Sensor Technologies from Jožef Stefan International Postgraduate School (Slovenia) and a Master's in Quality Management from Fakultet organizacionih nauka. Her research focuses on sensor technologies, dyslexia detection through eye-tracking, and the application of AI in education and marketing. Key academic contributions include developing sensor-based systems for analyzing reading patterns in children with dyslexia, leveraging machine learning models like VGG16 and autoencoders. She co-founded BabyFM, a startup creating smart thermoregulation devices for infants using sensors and mobile apps. Her work has been supported by grants from Innovation Forum Cambridge, Star Tech, and Serbia’s Innovation Fund. Professionally, she produced RTV Serbia’s entrepreneurial series 'My Hero' and 'Golden Idea,' and organized national startup competitions. She chairs strategic conferences like Smart City SEE and Belgrade Strategic Dialogue, promoting innovation ecosystems. Her cross-disciplinary projects bridge engineering, education, and business strategy.

• Computational Chemistry
• Inorganic Chemistry
• Transition Metal Complexes
• +۳ مورد دیگر

Miloš K. Milčić is an Associate Professor at the Department of General and Inorganic Chemistry, Faculty of Chemistry, University of Belgrade. He holds a Ph.D. in Chemistry from the same institution and has been affiliated with the Faculty since 1999. His research focuses on computational chemistry, transition metal complexes, and molecular interactions, with a particular emphasis on crystal engineering and quantum chemical modeling. He has contributed to projects funded by the European Commission, Science Fund of Serbia, and international bodies. Education: Bachelor’s in Chemistry (1992–1998), Faculty of Chemistry, University of Belgrade Master’s in Chemistry (1998–2002), Faculty of Chemistry, University of Belgrade PhD in Chemistry (2002–2006), Faculty of Chemistry, University of Belgrade Research interests include computational studies of transition metal complexes, cation-π interactions, hydrogen bonding in porphyrin systems, and molecular modeling of catalytic materials. His work bridges theoretical chemistry and experimental crystallography, addressing fundamental questions in inorganic and organometallic chemistry. Key projects: IMPTOX (2021–2025): Investigating microplastic toxicity funded by Horizon 2020 TMMagCat (2022–2025): Designing molecular magnets funded by Serbia’s Science Fund ALG2MEAT (2023–2025): Algal extracts for cell-based meat funded by the Good Food Institute He has served as Vice Dean for Academic Affairs (2010–2013) and on committees for admissions and publishing. His work has been recognized through ORCID (0000-0002-0082-5278) and Scopus (ID 6507079694).

• Chemistry of natural products
• Phytochemistry
• Analytics of organic compounds
• +۳ مورد دیگر

Dr. Snezana S. Trifunovic is a full-time Researcher at the Faculty of Chemistry , University of Belgrade, affiliated with the Department of Organic Chemistry. She holds ORCID 0000-0001-9528-6686 and ResearcherID Q-5612-2016. Education: University of Belgrade PhD in Chemical Sciences (2006), Master's (1997), and BSc (1991) Academic roles: Scientific Advisor since 2018, Senior Research Associate (2012–2018), Research Associate (2007–2013), Assistant (1998), Assistant Trainee (1992) Her research focuses on phytochemistry , natural product analysis , and bioorganic chemistry , with particular interest in secondary metabolite profiling, plant-derived anticancer agents, and chemical characterisation of medicinal species. Recent projects include metabolomics for schizophrenia biomarker discovery (2021–2024) and portable GC-MS/LC-MS methods development for OPCW field testing (2017–2021). Publications emphasize bioactive natural products , polymer chemistry , and plant metabolite bioactivity across two decades of research output. Active in international collaboration with the Organisation for the Prohibition of Chemical Weapons (OPCW), she has contributed to 5 major research projects since 1998, including transgenic plant studies for anticancer compounds and chemoprotective DNA assays. Current work involves metabolomic fingerprinting of neuropsychiatric disorders and development of portable analytical devices.

• Chemical Engineering
• Environmental Engineering
• Bioprocess Engineering
• +۴ مورد دیگر

Milan Milivojević is an Associate Professor at the Faculty of Technology and Metallurgy , University of Belgrade, Department of Chemical Engineering. His work focuses on bioprocess engineering , adsorption processes , and wastewater treatment . Current faculty member with expertise in chemical and environmental engineering Active in techno-economic analysis of industrial processes Key research areas: composite materials , enzyme immobilization , pneumatic reactor design His 15 most recent publications (2013–2022) emphasize biological wastewater treatment , adsorption of pollutants using alginate-based composites, and optimization of industrial chemical processes . Notable subfields include nickel/chromium removal , synthesis of functional oligosaccharides , and techno-economic modeling . He has mentored 40+ students in doctoral and master’s theses (2014–2025), covering topics like adsorption of toxic ions , bioreactor systems , and chemical process analysis . Detailed project descriptions and student theses are archived in the Faculty of Technology and Metallurgy database.

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