Lazar Krstic is an Assistant at the Institute of Mathematics and Informatics within the Faculty of Science and Mathematics at the University of Kragujevac. His research focuses on Artificial Intelligence and Machine Learning, operating in the Informatics field. He completed his Master's degree in 2017 and earned his Doctorate in 2019. His work integrates advanced computational techniques with applications in medical physics, education, and environmental modeling. Research Trends: Recent publications highlight expertise in radiation therapy optimization, physics-informed neural networks, and evolutionary algorithms. Articles demonstrate interdisciplinary applications spanning healthcare, education, and computational hydrology.
Miloš Ivanović serves as an Assistant Professor at the Institute of Mathematics and Informatics within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. His academic career is deeply rooted in computer science and computational mathematics, with research spanning multiple interdisciplinary domains that bridge theoretical computer science with practical applications in engineering, physics, and biology. Dr. Ivanović earned his Doctorate in Computer Science from the Faculty of Natural Sciences and Mathematics (PMF) at the University of Kragujevac, establishing a foundation for his subsequent research career focused on computational methods and high-performance computing. His research interests represent a sophisticated convergence of computational theory and practical applications. Ivanović specializes in advanced computing paradigms including grid computing, GPGPU computing, and cloud-based high-performance computing systems. His work in fluid modeling employs meshless methods and particle dynamics approaches, particularly SPH and DPD techniques applied to microfluidic systems. The breadth of his research extends from theoretical mathematics (graph theory and chemical indices) to practical applications in hydrology, biomedical engineering, and nuclear physics. His interdisciplinary approach enables innovative solutions across diverse scientific domains that require intensive computational resources. The collection of his publications reveals a consistent trajectory of research focused on computational methods with applications spanning multiple scientific disciplines. His work demonstrates strong expertise in parallel computing architectures and their application to complex scientific problems. The publications show a progression from fundamental computational mathematics toward increasingly complex multi-domain applications, particularly in biomedical and environmental systems. His research consistently addresses the challenge of implementing computationally intensive methods on distributed and parallel architectures to solve real-world scientific problems. Throughout his career, Ivanović has participated in numerous national and European research and infrastructure projects, including FP6, FP7, and Tempus initiatives. His collaborative approach is evident in the diverse range of co-authors spanning multiple institutions and disciplines, reflecting his ability to bridge computational science with domain-specific applications. Dr. Ivanović is affiliated with the Group for Mathematical Modeling and Computer Simulations, which develops computational solutions across various domains including fluid dynamics, biomedical applications, and environmental modeling. The group's work encompasses software development for simulation purposes, as evidenced by projects like the SPH07 software package and various specialized simulation tools for engineering and biomedical applications.
Ivan Tot is an Associate Professor at the University of Defense's Military Academy in Belgrade, with a career spanning roles as Teacher (1999-2010) and Assistant Professor (2015). His academic foundation includes a Doctorate from the Military Academy (2010), a Master's from the University of Kragujevac (2008), and an undergraduate degree from the Military Technical Academy (1999). His research bridges Information Systems , Biometric Verification , and IoT Security , with applications in defense logistics, mobile communications, and healthcare technology. Recent publications explore biometric maternity verification, encrypted SMS applications, and military data-gathering techniques. He contributed to key projects: New information technologies for analytical decision-making (Ministry of Science, 2010-2016) Performance Analysis of Tactical Telecommunications Systems (Military Academy, 2010-2015) Database models for logistics decision support (Military Academy, 2013-2015) He authored the textbook Information Systems for Decision Support (2013) and maintains a focus on practical, security-oriented solutions.
Bojan Banković is an Assistant Professor at the Power Engineering Department of the Faculty of Electronic Engineering, University of Niš. His academic career focuses on electrical engineering with specialization in electric motor drives, power electronics, and renewable energy integration. His research interests include: Research and development of modern motor control algorithms in industrial drives Implementation of renewable energy sources in industrial drives and their impact on operational quality Industrial drives with energy regeneration to the grid Power quality and grid integration of renewable energy systems Banković has published extensively in the field of power electronics and electric drives, with recent publications focusing on microgrid operation, grid synchronization algorithms, multi-motor drive systems, and power quality issues. His work demonstrates a strong trend toward integrating renewable energy sources with industrial applications while maintaining power quality and system stability. Many of his publications appear in reputable journals like Energies and in proceedings of international electrical engineering conferences. His scientific contributions include: Development of novel control algorithms for electric motor drives Research on grid-connected power converters and their impact on power quality Design methodologies for industrial drive systems with energy regeneration Analysis of renewable energy integration in industrial settings Banković maintains strong industry connections, providing consulting and design services for various industrial applications including packaging lines, metal processing equipment, and pumping stations. He has contributed to technical solutions for industrial drive systems, motor control algorithms, and laboratory testing facilities. His work bridges theoretical research with practical industrial applications, making significant contributions to both academic knowledge and industrial practice. He is affiliated with the Laboratory for Electric Motor Drives and Traction, where he conducts research and supervises student projects related to his areas of expertise.
Darjan Karabašević is currently serving as the Acting Dean and Full Professor at the Faculty of Applied Management, Economics and Finance, University of Economics Academy in Novi Sad. He was elected to the position of Acting Dean on April 29, 2023, and achieved the rank of Full Professor for the narrow scientific fields of General Management and Informatics on February 22, 2023. Prior to this, he served as Vice-Dean for Research since March 1, 2018, and held positions as Associate Professor (2020) and Assistant Professor (2017) at the same institution. His educational background includes a Doctorate in Computer Science from the University of Novi Pazar (2022), another Doctorate from the Faculty of Management Zaječar, John Nesbitt University Belgrade (2016), Specialist Academic Studies from Megatrend University Belgrade (2012), and undergraduate studies at the Faculty of Management Zaječar, Megatrend University Belgrade (2009). He completed his secondary education at the Zaječar School of Economics and Trade. Professor Karabašević's research primarily focuses on multi-criteria decision-making methods, neutrosophic logic, fuzzy systems, and their applications in management and computer science. His work demonstrates a strong integration of mathematical modeling with practical business applications, particularly in personnel selection, supplier evaluation, website quality assessment, and e-commerce strategy development. He has published extensively on extensions of methods like WISP, TOPSIS, MULTIMOORA, and SWARA, often incorporating neutrosophic and fuzzy logic to handle uncertainty in decision-making processes. His publication record shows a consistent output of high-quality research, with over 200 scientific and professional papers, including more than 60 papers indexed in SCI/SSCI databases. His research has accumulated 2432 citations on Google Scholar, 863 on Web of Science, and 8 on Scopus, indicating significant impact in his fields of study. Professor Karabašević serves as the Editor-in-Chief of the Journal of Process Management and New Technologies (category M52) and is an editor for the SCI-indexed journal "Axioms" (category M22). He is a member of the editorial boards of numerous international journals including Neutrosophic Sets and Systems, International Journal of Neutrosophic Science, and Journal of Fuzzy Extension and Applications, among others. He has reviewed over 200 scientific papers for prestigious journals such as Mathematics, Applied Mathematics and Computation, Journal of Cleaner Production, and Omega. He has held significant leadership roles including being elected as Co-President and Head of the Neutrosophic Science International Association for Serbia (2018), and later becoming President of the association for Serbia (2022). He serves on the scientific committees of multiple international conferences including the International Congress on Aviation Management and conferences on Sustainable Development based on Knowledge (ERAZ). His professional activities also include serving as a reviewer for the National Body for Accreditation and Quality Assurance in Higher Education (NAT) since 2018 and previously for the Commission for Accreditation and Quality Assurance (KAPK) from 2017-2018.
