جست‌وجوی استاد و پژوهشگر

• Organic Chemistry
• Heterocyclic Compounds
• Organometallic Catalysis
• +۱ مورد دیگر

Dr. Andrea M. Nikolić is an Assistant Professor in the Department of Organic Chemistry at the Faculty of Chemistry, University of Belgrade. Her academic journey includes a PhD in Chemical Sciences from the University of Belgrade (2018-2022) and postdoctoral studies at Yale University (2023-2024). She has progressed through multiple academic roles at the institution since 2018, starting as a Teaching Assistant and advancing to her current position. Her research focuses on organic chemistry with emphasis on: Heterocyclic compound chemistry Transition metal-catalyzed reactions using organometallic complexes Development of synthetic methodologies for biologically active compounds Computational design of molecular photoswitches Her publications demonstrate strong expertise in palladium and cobalt catalysis, decarbonylation reactions, heterocyclic synthesis, and medicinal chemistry applications. Recent work shows increasing focus on computational approaches and therapeutic agent development. Awards: 2018: Special Recognition from Serbian Chemical Society for Best Students Research Projects: Active (2023-2026): Development of photoactive anticancer agents based on natural products (PhotoSCLART), funded by Science Fund of Republic of Serbia Completed (2011): Synthesis of aminoquinolines as antimalarials and botulinum neurotoxin inhibitors She teaches multiple courses including Theory of Chemical Bonding, Bioorganic Chemistry, Conformational Analysis, and Biogeotechnology. Active in professional societies and served on the Faculty Promotion Commission (2020-2024).

• Machine Tools
• Flexible Technological Systems
• Automatization of Design Processes
• +۵ مورد دیگر

Cvijetin Mlađenović is an Assistant Professor at the Faculty of Technical Sciences, University of Novi Sad , specializing in machine tools, technological systems, and CAD/CAE/CAM integration. His research focuses on machining process optimization, thermal behavior modeling of machine components, and vibration analysis for manufacturing stability. Department: Chair of Computer Aided Technological Systems and Design His work leverages neural networks and machine learning to address challenges in machining parameter optimization and predictive maintenance. Recent publications (2022-2025) highlight applications in Ti-6Al-4V alloy machining, spindle thermal modeling, and small dataset-driven optimization. Key trends in his research include integrating artificial intelligence with traditional manufacturing methods, improving geometric accuracy via laser systems, and advancing hybrid mechanism design for machine tools. Notable projects include stability lobe diagram modeling and development of workpiece manipulation devices (patent 2012).

• Process Planning
• Manufacturing Optimization
• Virtual Design
• +۷ مورد دیگر

Prof. Mijodrag Milošević is a Full Professor at the Faculty of Technical Sciences, University of Novi Sad, where he serves as Head of the Chair of Machine Tools, Process Planning, Flexible Manufacturing Systems and Design Processes. With over 160 publications including more than 20 in SCI journals, his research significantly contributes to advanced manufacturing technologies and Industry 4.0 applications. His educational background includes: Bachelor's thesis: "Razvoj programske podrške za realizovanje metodologije za proveru radne tačnosti koordinatnih mernih mašina" (1997) Magister thesis: "Razvoj specijalizovanog CAD/CAPP/CAM rešenja primenom savremenih programskih sistema opšte namene" (2005) PhD dissertation: "Kolaborativni sistem za projektovanje tehnoloških procesa izrade proizvoda baziran na internet tehnologijama" (2012) Prof. Milošević's research focuses on cutting-edge manufacturing technologies with particular emphasis on Process Planning, Manufacturing Optimization, and Virtual Design. His work bridges traditional manufacturing with digital transformation through Industry 4.0 technologies, Smart Manufacturing, and Collaborative Engineering approaches. His expertise spans from fundamental process optimization to advanced applications of artificial intelligence and cloud computing in manufacturing environments. Analysis of his recent publications reveals a strong trend toward smart manufacturing solutions, with increasing focus on AI-driven optimization, digital twins, and cloud-based manufacturing systems. His research has evolved from traditional CAPP systems to sophisticated integration of metaheuristic algorithms, machine learning, and IoT technologies in production engineering, reflecting the broader industry shift toward intelligent, data-driven manufacturing processes. Among his professional recognitions: Certificate of Innovation Consultant in the Innovation Consultants Development Programme Prof. Milošević has participated in over 20 scientific research projects from national and international programs, including those from the Ministry of Education, Scientific and Technological Development of Republic of Serbia, TEMPUS, and CEEPUS initiatives. He has coordinated significant research projects including "Application of collaborative engineering for improving sustainable manufacturing process," "Application of smart manufacturing in Industry 4.0," and "Trends of development and application of the Industry 4.0 model in SMEs." Currently, he is involved in the research project "Application of edge computing and artificial intelligence methods in smart products" and several CEEPUS projects. He previously served as head of the Laboratory of Process Planning, Manufacturing Optimisation and Virtual Design before assuming his current role as head of the Chair of Machine Tools, Process Planning, Flexible Manufacturing Systems and Design Processes, leading a team focused on advancing manufacturing technologies through research and innovation.

• 3D Digitization
• Computed Tomography (CT) Imaging
• Reverse Engineering
• +۷ مورد دیگر

Mario Šokac is an Assistant Professor at the Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects within the Faculty of Technical Sciences at the University of Novi Sad. Since 2020, he has held this academic position after progressively advancing through assistant roles since 2014. His work bridges mechanical engineering with medical applications through advanced 3D technologies. Academic timeline: Assistant (2014), Assistant-Master (2017), Assistant-PhD (2019), Assistant Professor (2020) Primary affiliations: University of Novi Sad, Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects Research focuses on 3D digitization and reverse engineering applications in dental prosthetics, bone graft modeling, and industrial CT/MRI data reconstruction. His work integrates additive manufacturing , photogrammetry , and computer-aided design for medical and industrial solutions. Article trends reveal dual expertise in manufacturing optimization (surface roughness, tool wear, material removal rates) and medical imaging (dental model digitization, bone graft reconstruction). Publications span journals like Measurement , Metals , and Dental Materials Journal with interdisciplinary collaborations. Contact details: marios@uns.ac.rs | Phone: +381 21/485-2332

• Computer Aided Design
• Manufacturing Systems
• Machine Tools
• +۶ مورد دیگر

Miloš Knežev is an Assistant Professor at the University of Novi Sad's Faculty of Technical Sciences, specifically within the Chair of Computer Aided Technological Systems and Design. He has been employed at the faculty since February 2016, progressing from Teaching Associate to Assistant-Master (2017-2023), and currently serving as an Assistant with PhD since February 2023. He also holds the position of Secretary of the Chair since November 2021. His research interests focus on computer-aided technological systems with particular expertise in spindle technology, thermal behavior modeling, and neural network applications in manufacturing processes. Dr. Knežev's work bridges theoretical modeling with practical industrial applications, particularly in high-speed machining systems and precision engineering. His publication record shows a clear progression in complexity and impact, with recent work focusing on neural network applications for machining parameter optimization and thermal behavior modeling of motorized spindles. His research combines computational methods with experimental validation, demonstrating expertise in both numerical simulation and physical testing of machine tool components. Dr. Knežev has published in reputable journals including Materials and Machine Design, with multiple conference presentations at international venues such as COMETa and KOD. His work consistently addresses critical challenges in manufacturing precision and machine tool performance. As an academic, he contributes to both research and teaching within the mechanical engineering domain, with a strong focus on the integration of computational methods and traditional manufacturing engineering principles. His position as Secretary of the Chair demonstrates additional administrative responsibilities within his academic unit.

Snezana Dragićevićمشاهده پروفایل

استاد

• Thermal engineering
• Renewable energy
• Energy efficiency
• +۷ مورد دیگر

Dr. Snezana Dragićević is a Full Professor at the Department of Mechanical Engineering , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. She holds a PhD in Thermal Engineering and has led over 15 research projects focused on energy systems and renewable technologies. BSc and MSc in Thermal Engineering from University of Belgrade and University of Kragujevac Doctoral research on solar wall optimization at Technical Faculty Zrenjanin Her research spans thermal engineering , solar technology , energy informatics , and artificial intelligence applications in energy systems . She has published over 140 papers in journals like Computers & Industrial Engineering and Journal of Metalurgija , with recent works analyzing solar radiation prediction via machine learning and thermo-hydraulic performance of solar water heaters. As a member of the Faculty Innovation Incubator , she drives technology transfer initiatives in renewable energy and sustainable engineering. Current collaborative projects include the EU PRO Plus Programme for smart growth in metal sector SMEs and the Science-Technological Cooperation Serbia-China on 5G surveillance systems. Her work integrates hydrometeorological modeling , industrial process simulation , and energy efficiency metrics for educational and commercial applications.

• Management
• Operations Research
• Decision Support Systems
• +۳ مورد دیگر

Prof. Dr. Zoran Nešić is a Full Professor at the Department of Industrial Management, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 30 years of professional experience in academia and industry, he has established himself as a leading expert in management, operations research, and decision support systems. Nešić earned his B.Sc. in Production Engineering and Organization from the Faculty of Mechanical Engineering at the University of Kragujevac in 1992, followed by his M.Sc. in Informatics and Computer Science Methodology in 2000, and his Ph.D. in 2008 with a dissertation on 'Contribution to the application of Internet technology in the management information system based on interactive analytical processing.' Professor Nešić's research primarily focuses on management and operations research , with particular expertise in multi-criteria decision making, business intelligence, and information systems. His work bridges theoretical frameworks with practical applications in industrial management, contributing significantly to optimization methodologies in production planning, resource allocation, and strategic decision-making processes. He has developed numerous software solutions for production monitoring, capacity utilization, and investment project selection, demonstrating his commitment to translating research into tangible business improvements. An analysis of Professor Nešić's recent publications reveals a consistent focus on applying advanced computational methods to management problems. His work increasingly integrates neuro-fuzzy systems , machine learning , and multi-criteria decision analysis to address complex industrial challenges. Recent research spans diverse applications including production optimization, environmental protection decision-making, structural engineering analysis, and resource management, demonstrating the versatility and applicability of his methodological approaches. Professor Nešić has served as a mentor for two doctoral dissertations and has participated in numerous research projects funded by the Ministry of Education and Science of the Republic of Serbia. His involvement in selection committees for academic positions demonstrates his standing within the academic community. Throughout his career, he has secured continuous research funding, with projects spanning from 2011 through 2025, reflecting sustained scholarly productivity and relevance. His technical expertise extends to the development of practical software solutions, with multiple technical solutions adopted by the Faculty of Technical Sciences in Čačak. These include applications for production cycle optimization, capacity utilization analysis, and multi-criteria decision support, demonstrating his ability to translate theoretical research into practical tools for industry.

Aleksandar Rankovićمشاهده پروفایل

استاد

• Power Systems Analysis
• Electromagnetic Field Modeling
• Artificial Intelligence in Power Engineering
• +۴ مورد دیگر

Aleksandar Ranković is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences, University of Kragujevac, Serbia. His academic career spans over two decades, focusing on power systems analysis, electromagnetic compatibility, and artificial intelligence applications in energy systems. B.Sc. (1994), M.Sc. (2002), and Ph.D. (2010) in Electrical Engineering Specializes in power system control, state estimation, and renewable energy integration Active researcher in distribution network optimization and electromagnetic field modeling Research interests include: Power system state estimation (including Kalman filter-based methods) Integration of distributed energy sources Electromagnetic field mitigation in overhead power lines Neural network applications for energy consumption forecasting Short-circuit current calculations in mixed-generation networks His publications demonstrate expertise in: Three-phase dynamic state estimation Multi-objective optimization of transmission lines Measurement correlation in microgrids Comparative analysis of network reliability metrics EMF safety in power infrastructure

• Logistics
• Production Technologies
• Automatic production lines
• +۶ مورد دیگر

Professor Srećko Ćurčić serves as a Full Professor in the Department of Mechatronics at the Faculty of Technical Sciences, University of Kragujevac, Serbia. With over 30 years of academic experience, he has established himself as a leading expert in logistics and production technologies, with particular focus on sustainable engineering solutions and biomass utilization. Dr. Ćurčić earned his Mechanical Engineering degree from the University of Belgrade (1982-1987), completed his M.Sc. in Production Technologies at the Technical Faculty in Čačak in 1996, and defended his Ph.D. dissertation on reengineering of automatic production lines at the Mechanical Engineering Faculty in Kragujevac in 2001. His research primarily focuses on logistics systems, automatic production lines, and sustainable utilization of biomass resources. Dr. Ćurčić has developed innovative approaches for converting agricultural waste, particularly raspberry and blackberry cuttings, into valuable products like pellets, briquettes, and thermal insulation boards. His work bridges engineering principles with environmental sustainability, addressing critical challenges in renewable energy and waste management. Analysis of his recent publications reveals a strong trend toward sustainable engineering solutions, with particular emphasis on biomass conversion technologies, renewable energy systems, and smart agricultural practices. His research consistently demonstrates practical applications for industrial and municipal settings, with increasing integration of digital technologies and artificial intelligence in resource management. Dr. Ćurčić has secured significant research funding, including projects from the Ministry of Education and Science of Serbia, the European Bank for Reconstruction and Development (EBRD), and multiple local self-governments. He has successfully led numerous technological development projects with practical applications in waste management and renewable energy. As an educator and mentor, he has supervised two master's theses, five master's projects, and over 50 diploma theses. He has also served on committees for the defense of more than 40 diploma theses, demonstrating his commitment to developing the next generation of engineers. His research extends into practical applications through collaborations with industry partners, particularly in developing mobile presses for vehicle recycling and systems for managing end-of-life vehicles. His current work focuses on creating sustainable solutions for local communities through rational use of waste biomass as renewable energy sources.

• Control Systems
• Electrical Engineering
• Fault Detection and Isolation
• +۵ مورد دیگر

Sanja Antic is an Associate Professor at the Department of General Electrical Engineering and Electronics within the Faculty of Technical Sciences at the University of Kragujevac, Serbia. She teaches courses including Automatic Control (since 2009), Digital Control Systems (since 2014), and Control of Electromotor Drives (since 2009), having previously taught Fundamentals of Electrical Engineering, Electrical Measurements 1, and Electric Drives. Dr. Antic completed her primary and secondary education in Čačak with the prestigious Vuk Karadžić diploma for academic excellence. She earned her undergraduate degree in Electrical Engineering with Industrial Power Engineering specialization from the Faculty of Technical Sciences in Čačak in 2000 with an outstanding grade average of 9.60, receiving recognition as the top graduate of her academic year. She continued to excel in her postgraduate studies, earning a Master of Technical Sciences degree in 2009 with a perfect 10.00 grade average. Her doctoral dissertation, defended in 2016 at the University of Belgrade, focused on application of model-based fault detection methods in electromechanical systems. Her research expertise spans control systems engineering with particular focus on fault detection and isolation in DC motor systems, electromotor drive control, and educational applications of control theory. Dr. Antic has made significant contributions to the field of fault detection methodologies for electromechanical systems, developing expert systems using structured residuals design techniques and FPGA implementations. Her work extends to practical applications in tank-level control systems, aquifer modeling, and energy efficiency of electric motors. She has been instrumental in developing remote laboratory experiments for engineering education, creating educational tools that bridge theoretical concepts with practical implementation. Analysis of her recent publications reveals a strong research trajectory focused on fault detection and isolation techniques for DC motor systems, with increasing sophistication in diagnostic approaches. Her work has evolved from basic fault detection methods to comprehensive identification and isolation systems, incorporating advanced techniques like parameter estimation, structured residuals, and FPGA implementations. She has also expanded her research into educational applications of control theory, developing laboratory setups and remote experiments that enhance engineering education. Dr. Antic has led and participated in several research projects, including the modernization of teaching for three mandatory subjects in Electrical and Computer Engineering (EMPA) from 2020-2021, and has contributed to building a network of remote labs to strengthen university-secondary vocational school collaboration through a TEMPUS project. Her work on energy efficiency of electromotor drives has been supported by the Ministry of Education, Science and Technological Development of Serbia. She has been actively involved in developing educational resources including textbooks, workbooks, and laboratory catalogs. Notably, she co-authored 'Regulation of Electromotor Drives' (2010) and 'Introduction to Automatic Control Systems - Theory and Examples' (2021), along with practical resources like 'Collection of Solved Problems in Electromotor Drives' and catalogs of remote laboratory experiments. Her commitment to innovative teaching approaches is evident in her development of remote experiments for demonstrating current and voltage control of DC motors.

• Computer Engineering
• Biomedical Informatics
• Ontology Development
• +۵ مورد دیگر

Dr. Vanja Luković is an Associate Professor in the Department of Computer and Software Engineering at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over two decades of academic experience, she has established herself as a prominent researcher in the intersection of computer engineering and biomedical applications, particularly in the development of innovative diagnostic systems for spinal deformities. Her educational background includes a Doctorate in Technical Sciences (2015) with a dissertation on "Ontologically based information system for diagnosing and monitoring spinal deformities," a Master's degree in Electrical Engineering (2007) focusing on visualization systems, and a Bachelor's degree in Electrical Engineering with specialization in Industrial Energy (2000). Dr. Luković's research spans multiple domains including biomedical informatics, ontology development for medical applications, digital circuit design, and educational technology. Her work demonstrates a consistent focus on applying computer engineering principles to solve real-world medical challenges, particularly in the area of scoliosis diagnosis and monitoring. She has pioneered the development of the ScolioMedIS system, a web-based information system for non-invasive 3D visualization and monitoring of spinal deformities. Her publication record reveals a strong trajectory in both medical informatics and computer engineering, with recent work expanding into AI applications for medical diagnostics, data storage optimization, and educational technology. The evolution of her research shows a natural progression from foundational work in ontology development to more applied research in medical diagnostics and educational tools. The first MIMICS INNOVATION AWARD 2016 for the EMEA region awarded by Materialise (Leuven, Belgium) The 3rd place for the early-stage StartUp: ScolioMedIS at the 2nd SwissBioLabs Start-Up Challenge "Diagnostics goes digital" Dr. Luković has led and participated in numerous research projects funded by Serbian Ministry of Science and international collaborations including TEMPUS projects. Her work on remote laboratories for educational purposes has significantly impacted computer engineering education. She has also contributed to multiple textbooks and manuals for digital circuit design education, demonstrating her commitment to pedagogical innovation. Her laboratory work primarily focuses on the Computer Science Laboratory at the Faculty of Technical Sciences, where she has developed remote experiment platforms for digital circuit design education and the ScolioMedIS system for medical applications.

Marina Miloševićمشاهده پروفایل

دانشیار

• Medical Image Processing
• Breast Cancer Detection
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Marina Milošević is an Associate Professor at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She specializes in medical image processing, particularly breast cancer detection using thermography and mammography, along with database systems and human-computer interaction. Her work bridges computer engineering with biomedical applications, focusing on practical implementations for healthcare improvement. Her educational background includes a Bachelor's degree in Computer Engineering from the Technical Faculty in Čačak (2010, GPA 9.47) and a PhD from the Faculty of Electronics, University of Niš (2016). She has received multiple awards for academic excellence and was a scholarship recipient from several prestigious institutions including the Fund for Young Talents and the Ministry of Education of Serbia. Dr. Milošević's research interests focus on medical image processing, particularly breast cancer detection using thermography and mammography. She has developed systems for remote mammogram processing and comfort level classification during patient transport. Her work also extends to database systems, geographic information systems, and human-computer interaction. She holds multiple professional certifications in database technologies from INTERGRAPH and ORACLE ACADEMY. Her publication record shows a strong trend toward interdisciplinary research combining computer engineering with medical applications. Recent work has expanded into transportation systems, earthquake detection using mobile phones, and agile software development methodologies. Her research consistently focuses on practical implementations with real-world applications, particularly in healthcare diagnostics and monitoring. Scholarship recipient of the Fund for Young Talents Scholarship recipient of the University of Kragujevac Scholarship recipient of the Ministry of Education of the Republic of Serbia Vuk Karadžić diploma for exceptional academic performance Dr. Milošević teaches across all academic levels, from Bachelor's courses in Fundamentals of Computer Engineering and Databases to PhD-level courses on Virtual Reality Applications in Medicine and Biomedical Image Processing. Her work on a patent for a random number generator based on Geiger-Muller counter technology demonstrates her innovative approach to solving engineering problems. She has been actively involved in adapting engineering education for remote learning during the pandemic. She leads research in the Computer Science Laboratory at the Faculty of Technical Sciences, focusing on medical image processing systems and database applications. Her recent work includes developing web-based systems for remote mammogram processing and analyzing vehicle vibration signals for comfort assessment. She collaborates with researchers across multiple institutions on interdisciplinary projects that bridge computer engineering with healthcare applications.

Marko Popovićمشاهده پروفایل

دانشیار

• Structural Engineering
• Machine Elements Design
• CAD/CAE Design
• +۶ مورد دیگر

Dr. Marko Popović serves as an Associate Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. His academic position focuses on Structural Engineering, where he teaches Machine Elements, Fundamentals of Design, CAD/CAE Design, and Modeling and Numerical Analysis of Mechatronic Structures. Dr. Popović earned his Bachelor's degree in Mechanical Engineering from the Faculty of Mechanical Engineering, University of Belgrade (2003), followed by his Master of Technical Sciences (2007) and Doctor of Technical Sciences (2012), both from the Faculty of Technical Sciences, University of Kragujevac. His research spans structural optimization, machine elements design, and computational methods in mechanical engineering. A significant portion of his work addresses excavator component design, particularly cutting teeth for bucket chain excavators. More recently, his research has incorporated artificial intelligence applications for machine elements design, optimization of 3D printing processes, and advanced diagnostics for mechanical systems. His work demonstrates a progression from traditional mechanical design toward computational and AI-enhanced approaches. Analysis of Dr. Popović's publication history reveals consistent contributions to mining equipment design, manufacturing processes, and machinery valuation. His recent work shows increasing integration of machine learning techniques to solve traditional mechanical engineering challenges, with applications in predictive maintenance, material optimization, and precision manufacturing. RICS certificate for machinery valuation (No. 6855771) License as responsible designer (No. 333 D73506) License as responsible contractor (No. 434 D41309) Accredited member of National Association of Appraisers of Serbia (NUPS-a M703) Permanent member of TEGoVA's international committee for machinery standards With 22 years of professional experience, Dr. Popović has served as lead designer for 19 major projects in production machinery and technology. He actively participates in machinery valuation across Serbia and the EU, working with financial institutions, audit firms, and insurance companies. His expertise extends to serving as an authorized court expert in mechanical engineering and as a lecturer for the Serbian Chamber of Engineers. Dr. Popović contributes to international standardization through TEGoVA, helping develop European standards for machinery valuation (EVSB-PME). His work bridges academic research with practical industry applications, particularly in the mining sector where his excavator component designs have improved operational efficiency and equipment longevity.

• Artificial Intelligence in Education
• Programming Education
• Multimedia Systems
• +۳ مورد دیگر

Dr. Nebojša Stanković is an Assistant Professor at the Department of Information Technologies, Faculty of Technical Sciences, University of Kragujevac. With over 30 years of academic experience since 1992, he specializes in information technologies, programming education, and multimedia systems. His research focuses on artificial intelligence applications in education and innovative teaching methodologies. Education: BSc (1991): Technical Faculty Čačak, University of Kragujevac MSc (2009): Technical Faculty Čačak, University of Kragujevac PhD (2021): Faculty of Technical Sciences Čačak, University of Kragujevac Dr. Stanković's research spans multiple areas including artificial neural networks for predicting student success in programming, e-learning technologies, and multimedia systems. He has made significant contributions to understanding how AI can enhance educational outcomes, particularly in computer science education. His work also addresses cybersecurity in educational contexts and the impact of digital tools on teaching methodologies, with a strong focus on practical applications that improve learning experiences. His recent publications show a clear trend toward AI applications in education, with a particular emphasis on using machine learning to predict student success in programming. He has also explored cybersecurity challenges in educational environments, pollen level prediction using ML techniques, and optimizing solar energy yield through hybrid AI models. These works demonstrate his interdisciplinary approach connecting computer science with practical educational and environmental applications. Dr. Stanković has been an authorized ECDL (European Computer Driving Licence) examiner since 2005 and has co-authored three accredited teacher training programs. He has organized numerous computer training courses for employees and unemployed in cooperation with the Employment Bureau and has been actively involved in the "Technics and Informatics in Education" conference series since 2006. He has served as an organizer and technical editor for multiple academic conferences and has contributed to the development of educational materials including several textbooks on information technologies, multimedia systems, and computer applications.

• Computer Systems
• Data Protection
• Applied Mathematics in Computer Science
• +۵ مورد دیگر

Mladen Janjić is a Lecturer at the Department of Information Technologies , Faculty of Technical Sciences in Čačak, University of Kragujevac. With a career spanning over a decade at the institution, he has taught subjects such as Web Technologies, E-Business, Software Engineering, and Data Protection. His research focuses on Computer Systems , Data Protection , and Applied Mathematics in Computer Science , with significant contributions to educational data analysis and algorithmic methods in multi-criteria decision making. Education : BSc (2005) and MSc (2010) in Electrical Engineering from Faculty of Technical Sciences, Čačak. Research Trends : His work bridges data science , educational technology , and operations research , particularly in analyzing student performance and optimizing decision models. Scientific Awards : Gold Medal at Eco-Foto 2011 Bronze Medal at 7th International Salon Ecological Truth 2012 FIAP Commendation at Help for Flooded Paracin 2014 Projects : He has contributed to IT requalification programs under the UNDP's "Serbia on Your Fingertips" initiative and curriculum development projects for web technologies and e-business courses.