جست‌وجوی استاد و پژوهشگر

• 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.

Luis Barbaمشاهده پروفایل

پژوهشگر ارشد

• Computational Geometry
• Algorithms
• Graph Theory
• +۴ مورد دیگر

Luis Barba is a Research Fellow in the Machine Learning and Optimization group at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, working under Professor Martin Jaggi. He completed his PhD through a cotutelle program between Carleton University, Ottawa and Université Libre de Bruxelles, Brussels, supervised by Professors Stefan Langerman, Jit Bose, Pat Morin and Vida Dujmović. Prior to that, he earned his master's degree at Universidad Nacional Autónoma de México (UNAM) under Professor Jorge Urrutia. Dr. Barba's research spans computational geometry, algorithms, graph theory, and more recently, machine learning and optimization. His work addresses fundamental problems in geometric data structures, Voronoi diagrams, graph coloring, and distributed learning. He has made significant contributions to understanding time-space trade-offs in geometric algorithms and developing efficient methods for problems like geodesic Voronoi diagrams and dynamic graph coloring. Dr. Barba's publication record demonstrates a clear evolution from theoretical computational geometry to practical applications in machine learning. Early in his career, he focused on fundamental geometric problems including linear-time algorithms for geodesic Voronoi diagrams and efficient convex hull computation in polygonal domains with obstacles. More recently, his work has shifted toward machine learning, where he has developed novel optimization techniques for distributed and federated learning settings, including implicit gradient alignment methods and multilayer lookahead approaches. Dr. Barba has published extensively in top-tier conferences and journals including Symposium on Computational Geometry (SoCG), Canadian Conference on Computational Geometry (CCCG), Algorithmica, and Discrete and Computational Geometry. His collaborative work demonstrates strong connections across the computational geometry and algorithms communities, with frequent co-authorship with leading researchers in these fields. Throughout his career, Dr. Barba has maintained a consistent focus on algorithmic efficiency and computational complexity, whether addressing theoretical geometric problems or practical machine learning challenges. His work exemplifies how deep theoretical insights can inform practical computational approaches across different domains of computer science.

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.

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.

• Additive Manufacturing
• Plastic Deformation Technology
• Metal Forming
• +۳ مورد دیگر

Dejan Movrin is an Associate Professor at the Chair of Forming Technologies and Surface Engineering within the Faculty of Technical Sciences, University of Novi Sad. His career progression includes prior roles as Assistant Professor (2018-2023), Professional Associate-Laboratory (2017), and Teaching Associate (2009-2011) at the same institution. He holds a PhD in Mechanical Engineering (2017), a Master's (2013), and a Bachelor's (2005), all from the Faculty of Technical Sciences. His research focuses on additive manufacturing (FDM, binder jetting), metal forming (cold extrusion, forging, upsetting), and biomaterial processing . Key areas include optimizing 3D printing parameters, deformation analysis in metalworking, and applications in biomedical scaffolds. His work integrates experimental validation with computational modeling. Recent publications emphasize advanced manufacturing techniques , with trends in biopolymer characterization, insole biomechanics, membrane technology, and textile electronics. Articles frequently explore process-structure-property relationships in additive manufacturing and sustainable material design. He collaborates extensively within the Chair of Forming Technologies and Surface Engineering, contributing to projects on severe plastic deformation, tool design, and precision manufacturing. No awards or supervised students are documented.

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.

• Production Technologies
• Mechanical Engineering
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Dr. Anđelija Mitrović is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. She holds a PhD in Technical Sciences (Mechanical Engineering) from 2016 and Master of Science in Information Technology from 2010. Her academic career spans multiple institutions including College of Technical Vocational Studies Čačak (2006-2011) and Faculty of Technical Sciences Čačak (2020-present). BSc in Hydropower Engineering, Mechanical Engineering Faculty Belgrade (1996) Profesor in Engineering and Informatics, Technology Faculty Čačak (2006) MSc in Information Technology, Technology Faculty Čačak (2010) PhD in Technical Sciences, Faculty of Technical Sciences Novi Sad (2016) Her research focuses on Production Technologies with emphasis on metal cutting thermal analysis, CAD/CAM systems, and educational technology innovations. Key research trends include: Thermal modeling in conventional and unconventional machining 3D virtual environment applications for engineering education Finite element analysis of milling processes Software-based cutting parameter optimization Integration of immersive learning platforms Publications demonstrate expertise in Thermal Analysis , Manufacturing Simulation , and Virtual Learning Environments . While no formal awards are listed, her work appears in reputable journals and international conference proceedings.

• Electromagnetics
• Numerical Methods in Electrical Engineering
• Measurement Uncertainty Analysis
• +۳ مورد دیگر

Srđan Divac is a Teaching Assistant at the Department of General Electrical Engineering and Electronics within the Faculty of Technical Sciences, University of Kragujevac . He earned his PhD in 2025 (average grade: 9.88) after completing his master's (2018, grade: 10) and bachelor's (2017, grade: 9.67) studies at the same institution. His research focuses on: Numerical methods in electromagnetics Measurement uncertainty analysis for electrical machines Dynamic hysteresis modeling in ferromagnetic materials Harmonic interpolation techniques for nonlinear circuits Instantaneous magnetisation power analysis Equivalent circuit parameter estimation Key article trends include simulation of magnetic hysteresis loops, electromagnetic computation for power systems, and advanced modeling of ferromagnetic and permalloy materials under varying excitation frequencies. His work appears in journals like Applied Sciences and Energies , as well as conferences such as IcETRAN and PES .

• Computer Engineering
• IoT Systems
• Machine Learning
• +۴ مورد دیگر

Dijana Stojić is an Assistant at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She has held this position since January 2018 while pursuing her doctoral studies in Electrical and Computer Engineering with a specialization in Computer Engineering, which she began in 2021. Her academic journey began with excellent results at the 'Vuk Karadžić' elementary school in Čačak, followed by the Technical School in Čačak where she majored in computer electrical engineering. She earned her Bachelor's degree in Computer Engineering in 2011 (average grade 9.37) and Master's degree in 2012 (perfect average grade 10.00) from the Faculty of Technology in Čačak. Her Master's thesis, 'Software Support for Active RFID Localization,' was supervised by Prof. Dr. Siniša Ranđić. Dijana's research spans multiple domains within computer engineering, with recent publications focusing on practical applications of technology in diverse fields. Her work demonstrates strong expertise in IoT systems, machine learning applications, blockchain technology, and human-computer interaction. She has published extensively on topics including earthquake detection using mobile phones, predictive models for identifying students with difficulties in online learning, medical applications like ECG monitoring with Arduino, agricultural engineering applications, and infrastructure monitoring systems. Award for best first-year student at Faculty of Technology in Čačak Award for best second-year student at Faculty of Technology in Čačak Her professional activities include serving as Student Vice-Dean at the Technical Faculty in Čačak from December 2010 to September 2012, participating in the TEMPUS SIGMUS project, and completing an internship at D.O.O. DOCUS from June 2013 to June 2014. She was a scholarship holder of the Ministry of Education, Science and Technological Development from April 2013 to March 2017 and has been involved in significant research projects including 'Development and modeling of energy efficient, adaptable, multiprocessor and multisensory electronic low-power systems' (TR 32043) and the 'German-Serbian Collocation Dictionary for German Language and Teaching' (DeSKoll).

Milan R. Dincicمشاهده پروفایل

دانشیار

• Metrology and Measurement Technology
• Signal Processing
• Data Compression
• +۳ مورد دیگر

Milan R. Dincic is an Associate Professor at the University of Niš, Faculty of Electronic Engineering, Department of Telecommunications. He holds a PhD in Metrology and Measurement Technology (2017) and a Master’s degree in Telecommunications (2012), both from the same institution. His academic career includes research on quantization techniques, signal processing, and metrology applications. Dr. Dincic’s research focuses on optimizing quantizers for measurement signals, including Gaussian and Laplacian distributions. He has contributed to adaptive quantization, lossless coding algorithms, and hybrid systems integrating codecs like ITU-T G.711. His work bridges theoretical signal processing with practical applications in telecommunications and sensor systems. His publications (26 journal articles) emphasize quantizer design, image sampling, and compression techniques. He co-authored the textbook "Sensors in Vehicles" (2014). Current projects include national/international collaborations in metrology and measurement technology. His lab focuses on advancing signal processing methodologies for precision measurement systems.

Nenad N. Cvetkovicمشاهده پروفایل

استاد

• Theoretical Electrical Engineering
• Electromagnetics
• Bioelectromagnetics
• +۳ مورد دیگر

Nenad N. Cvetkovic is a Full Professor at the Faculty of Electronics, University of Niš, specializing in Theoretical Electrical Engineering. He earned his PhD (2009), MSc (2002), and BSc (1995) from the same institution. His research focuses on electromagnetic field interactions with biological tissues, grounding system design, and numerical modeling of geoelectrical phenomena. Key areas include mobile phone radiation effects on human tissues, SAR distribution in anatomical models, and innovative approaches to multi-layered soil grounding analysis. He has contributed over 19 peer-reviewed articles in high-impact journals, addressing topics like dental implant EM interactions, orthodontic brace SAR profiles, and optimizations for grounding systems. His work bridges theoretical rigor with practical applications in electrical safety, biomedical engineering, and environmental geoelectrics. Prof. Cvetkovic is actively engaged in national/international research projects and speaks English and German fluently. His laboratory activities include finite element method (FEM) simulations, experimental validation of grounding models, and collaborations on standards for non-ionizing radiation exposure assessment.

• Environmental Engineering
• Water Treatment
• Environmental Protection
• +۳ مورد دیگر

Emilijan Mohora is affiliated with Singidunum University, where he holds the role of Researcher. His academic background includes a Bachelor's in Physics (1988-1994), Master's in Environmental Engineering (2000-2002), and a Doctorate in Chemistry/Biochemistry (2010-2013) from the University of Novi Sad. His research focuses on environmental engineering, particularly arsenic removal from groundwater and water treatment technologies using electrocoagulation and advanced materials. He has contributed to over a dozen peer-reviewed studies since 2003, addressing topics ranging from electrochemical processes to pollutant modeling in aquatic systems. Key research interests include: environmental sustainability, electrochemical technologies for water purification, and innovative sorbent materials. His work emphasizes practical solutions for contaminated water systems, particularly in regions with high arsenic or organic matter concentrations. Collaborative projects often involve interdisciplinary approaches combining engineering, chemistry, and environmental science. Publications since 2012 highlight advancements in continuous electrocoagulation systems and low-cost biosorbents for arsenic removal. Earlier contributions (2003-2004) explored statistical modeling of diffusion in materials and fire/explosion risk mitigation using D'Alambert's principle. Despite no explicitly listed awards or grants, his sustained publication record reflects active engagement in environmental research and technological innovation.

Aleksandar Dedićمشاهده پروفایل

استاد

• Process Engineering
• Drying Technology
• Biomass Energy
• +۵ مورد دیگر

Aleksandar Dedić is a Full Professor at the University of Belgrade's Faculty of Forestry, specializing in Process Engineering with over 125 scientific and professional publications. His academic career spans more than 30 years since joining the faculty in 1992, with his promotion to full professor in 2018. His research focuses on industrial drying processes, biomass energy conversion, and advanced modeling techniques. Key areas include: Heat and mass transfer modeling in wood drying Biomass utilization for energy production Automation of industrial processes using pneumatics, hydraulics, and AI Machine learning applications in wood processing His publication record shows consistent contributions to drying technology since 1997, with recent work expanding into biomass energy systems (2010-2018) and computational modeling of industrial processes. The 15 most recent articles demonstrate strong international collaboration and application in food engineering, environmental systems, and renewable energy. Professional recognitions include: DAAD Scholarship for research at Dresden University of Technology (2000-2001) Technical Assessor for Accreditation Body of Serbia since 2009 Peer reviewer for Horizon 2020 projects and Marie Sklodowska-Curie scholarships As an educator, he teaches across all academic levels including specialized courses in pneumatics/hydraulics, automation systems, and dynamic modeling for furniture production. His industry engagement includes technical design projects and consultancy for companies like AGROSAVA.

• Theoretical Electrical Engineering
• Electromagnetic Field Theory
• Boundary Element Methods
• +۴ مورد دیگر

Nebojša Raičević is a Full Professor at the Faculty of Electronic Engineering, University of Niš, Serbia, specializing in Theoretical Electrical Engineering. He has been a permanent faculty member since his graduation in 1989, achieving Full Professor status in 2021 after serving as Associate Professor since 2016. His career is deeply rooted in the Department of Theoretical Electrical Engineering, where he also served as Department Head. His educational journey at the University of Niš includes: Bachelor's degree in Theoretical Electrical Engineering (1989) Master's degree in Theoretical Electrical Engineering (1998) PhD in Theoretical Electrical Engineering (2010) Raičević's research centers on computational electromagnetic field theory with emphasis on high-voltage systems. He pioneered the Hybrid Boundary Element Method (HBEM) for electrostatic/magnetostatic problems and developed novel cable accessories with reduced dielectric stress. His work bridges theoretical modeling with practical power engineering applications, particularly in electric field distribution, grounding systems, and electromagnetic compatibility. He maintains active collaboration through eleven international research stays. Analysis of his recent publications reveals consistent innovation in numerical methods for electromagnetic field problems. His work increasingly integrates multi-physics approaches for high-voltage applications, with growing focus on optimization techniques for electrostatic shielding and pulse phenomena in conductors. The research demonstrates strong industry relevance through applications in substation safety and cable engineering. His scientific recognition includes: Best Paper Award at international conferences (twice) As an academic leader, Raičević has mentored two doctoral dissertations and participated in 18 doctoral thesis defenses, plus numerous master's and bachelor's theses. He has secured substantial research funding through participation in nine domestic and five foreign projects, personally managing two initiatives. Currently, he leads two national and two international projects while serving as president of the IEEE EMC chapter for Serbia and Montenegro. He also acts as guest editor for the SCI-listed journal Electronics (MDPI) and reviews for multiple prestigious publications. His practical contributions extend to developing patented cable accessories and computational tools adopted in power engineering. Through his leadership in the IEEE EMC chapter and collaborations with international research groups, he maintains strong industry-academia links focused on electromagnetic compatibility solutions for power systems.

• Metallurgical Engineering
• Materials Engineering
• Surface Engineering
• +۴ مورد دیگر

Prof. Dr Karlo Raić is a full Professor at the Department of Metallurgical Engineering , Faculty of Technology and Metallurgy , University of Belgrade . His academic career spans over three decades with a focus on metallurgical and materials engineering . Teaching: Surface Engineering, Iron and Steel Metallurgy, Welding Physics, Transport Phenomena Research: Metal-ceramic interfaces, dental biomaterials, composite materials, CFD analysis Publications: 20+ journal articles (Metallurgical and Materials Engineering, Metals, Surface Engineering) Research Trends : Recent work emphasizes dental metallic materials and metal-ceramic joining with active filler metals. He investigates additive manufacturing of dental alloys, wetting phenomena at liquid metal/ceramic interfaces, and CFD modeling of metallurgical processes. Project Leadership : • Thermal Barrier Coatings (2002-2005) • Nanostructured Materials Synthesis (2006-2010) • Metal Matrix Composites (2011-2015) International Collaboration : DAAD fellowship (Germany), Max Planck Institute (Germany), Washington State University (USA), Montanuniversität Leoben (Austria).