جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Optimization
• Machine Learning
• +۷ مورد دیگر

Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at the Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research lies at the intersection of Artificial Intelligence, Optimization, and Machine Learning, with applications in sustainability, quantum computing, and mathematical discovery. Research Interests: Development of novel optimization algorithms, particularly Frank-Wolfe and Conditional Gradient methods. Integration of machine learning with decision-making and combinatorial optimization. AI for Science (AI4Science), including applications in quantum mechanics and ecology. AI and creativity, human-AI co-creativity, and social science modeling using multi-agent LLMs. His recent publications (2025) demonstrate a strong focus on scalable optimization, interpretability, and algorithmic foundations. The work spans theoretical advances in convergence analysis, practical implementations in Julia (FrankWolfe.jl), and real-world deployments in biomass estimation and quantum certification. Scientific Awards: Gödel Prize (2023) STOC Test of Time Award (2022) Science Prize of the Association for Pediatric Orthopedics (2025) Google Research Awards (2021, 2020) NSF CAREER Award (2015) He advises a vibrant research group, with former students and postdocs securing faculty positions at institutions like Inria, Carlos III University, and James Madison University. His group has received funding from Google, DFG, and Math+, and he leads major collaborative efforts such as the Thematic Einstein Semester on Mathematical Optimization for Machine Learning. Labs and Teams: Interactive Optimization and Learning Lab at TU Berlin and ZIB. Leadership in MODAL and MATH+ research clusters, fostering interdisciplinary collaboration in mathematical optimization and AI.

Sladjana D. Marinkovićمشاهده پروفایل

استاد

• Mathematics
• Special Functions
• q-Calculus
• +۷ مورد دیگر

Sladjana D. Marinković is a Full Professor in the Department of Mathematics at the Faculty of Electronics, University of Niš, Serbia. She has been a prominent figure in mathematical research, particularly in special functions and q-calculus, since earning her PhD in 2005. Education: PhD in Mathematics, Faculty of Natural Sciences and Mathematics, University of Niš (2005) Master's in Mathematics, Faculty of Electronics, University of Niš (1995) BSc in Mathematics, Faculty of Philosophy, University of Niš (1986) Her research focuses on special functions , q-calculus , orthogonal polynomials , fractional calculus , and operational methods . She has made significant contributions to the theory of deformed exponential functions, q-integral inequalities, and generalized polynomial systems, often in collaboration with researchers like Predrag M. Rajković and Miomir S. Stanković. The analysis of her recent publications reveals a consistent trajectory in theoretical and computational mathematics , particularly in the development and application of q-analogues and deformed operators. Her work bridges pure mathematical analysis with applications in applied and computational fields, often published in high-impact journals such as Computational and Applied Mathematics , Fractional Calculus and Applied Analysis , and Journal of Nonlinear Mathematical Physics . Scientific Contributions: 18 papers published in journals with impact factors Active participation in 1 national research project She has not been documented as advising students in the provided text, nor are any grants or awards explicitly mentioned. However, her sustained research output and leadership in her department indicate a strong academic presence. There is no indication of part-time status, retirement, or emeritus position; she appears to be an active, full-time faculty member. She is not associated with any named laboratory or research team in the given text, but her collaborations suggest integration within a broader mathematical research network at the University of Niš.

• Mathematics
• Computational Mathematics
• Numerical Analysis
• +۴ مورد دیگر

Prof. Dusan M. Milosevic is a Full Professor at the Department of Mathematics within the Faculty of Electronic Engineering of the University of Niš, Serbia. He holds a PhD in Mathematics from the Faculty of Natural Sciences and Mathematics in Niš (2005), a Master's degree in Mathematics from the Faculty of Electronic Engineering (1992), and a Bachelor's degree in Computer Engineering from the same institution (1988). His academic career includes significant contributions to computational mathematics, numerical methods, and interdisciplinary applications in renewable energy and environmental modeling. Research interests span numerical analysis of polynomial zeros, fuzzy logic systems, and sustainable development strategies. He has authored/co-authored over 33 papers in impact-factor journals and multiple textbooks, including "Numerical Solution of Nonlinear Equations" and "Mathematics 4" . Current research focuses on energy projects, smart city modeling, and industrial building reuse. He participates in one national and international research projects. His work bridges theoretical mathematics with practical applications, evident in studies like spectral reflectance modeling for agriculture and adjustable models for renewable energy systems in Serbia. Academic leadership includes textbook development for engineering education and contributions to validated numerical computations.

• Machine Learning
• Deep Learning
• Pattern Recognition
• +۶ مورد دیگر

Angelina Njegus is a Full Professor at Singidunum University , where she has worked since 2005. She holds a Ph.D. in Business Studies and has extensive experience in both academia and industry, including consulting for IBM. Her research focuses on machine learning algorithms , deep learning , and Big Data Analytics , with applications in pattern recognition , tourism technology , and blockchain systems . Bachelor's: Faculty of Organizational Sciences, Information Systems (1994) Master's: Faculty of Organizational Sciences, Industrial Engineering (1999) Doctoral: Faculty of Business Studies (2003) Her recent publications (2023-2025) demonstrate expertise in metaheuristic optimization for machine learning, audio-visual emotion recognition , and cryptocurrency applications in tourism . She pioneered the Virtual University platform (MTVU) and contributes to agile methodologies in software development. Collaborations include projects with researchers from IEEE, Springer, and international institutions. Research interests span AI ethics in human resources , IoT integration in tourism , and security risks in cloud computing . Her work appears in journals like Complex & Intelligent Systems and conferences including ICPR and FG 2017 . She has authored books on software design patterns and information systems in tourism .

Лидија З. Ранчићمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Root-Finding Algorithms
• +۵ مورد دیگر

Lidija Z. Rančić serves as a full Professor in the Department of Mathematics at the Faculty of Electronic Engineering, University of Nis, Serbia. She has held progressively senior academic positions at this institution since 2006, culminating in her promotion to full Professor in 2016 within the Mathematics discipline. Her academic credentials include: Bachelor of Science in Mathematics (1988, Faculty of Philosophy, University of Nis) Master of Science in Mathematics (1995, Faculty of Philosophy, University of Nis) PhD in Mathematics (2005, Faculty of Natural Sciences and Mathematics, University of Nis) Rančić's research centers on advanced numerical methods for solving nonlinear equations, with particular expertise in root-finding algorithms and polynomial zero approximation. Her work emphasizes convergence properties, algorithmic efficiency, and the development of simultaneous and derivative-free methods. She investigates both theoretical foundations and practical implementations of iterative processes, contributing significantly to computational mathematics through rigorous analysis of convergence behavior and error estimation in complex systems. Her methodologies have applications across scientific computing and engineering disciplines requiring high-precision numerical solutions. Her publication record demonstrates consistent contributions to top-tier computational mathematics journals, with 16 papers in Impact Factor journals. The research trajectory shows increasing sophistication in handling nonlinear systems, evolving from basic root-finding methods toward advanced simultaneous approximation techniques with accelerated convergence properties for analytic functions and polynomials. Professor Rančić currently leads research activities within the Ministry of Science and Technological Development project "Construction and analysis of efficient algorithms for solving nonlinear equations" (2011-present), which focuses on developing novel algorithms with proven convergence guarantees for challenging nonlinear problems. While specific grant amounts aren't disclosed, this sustained government-funded research indicates significant national recognition of her expertise in computational mathematics. As a core faculty member in the Department of Mathematics, she contributes to both foundational mathematics education for engineering students and specialized advanced coursework in numerical analysis, though specific teaching assignments aren't detailed in available materials.

• Numerical Analysis
• Computational Mathematics
• Root-Finding Algorithms
• +۲ مورد دیگر

Јована С. Џунић is an Associate Professor in the Mathematics Department at the Faculty of Electronic Engineering, University of Niš. Appointed to this rank in 2023, she previously served as Assistant Professor (2002) and Docent (2013). Her academic foundation includes a PhD (2012) and Master's degree from the University of Niš's Faculty of Science and Mathematics. Her research focuses on Numerical Analysis and Computational Mathematics , specializing in root-finding algorithms for nonlinear equations and polynomial zero approximation. Key contributions include developing optimal multipoint iterative methods, transformations for root-solvers, and efficient inclusion techniques for polynomial zeros. Her work emphasizes computational efficiency, convergence acceleration, and numerical stability. Analysis of her publications reveals strong trends in iterative method optimization (2012-2018), with increasing focus on methods with memory and simultaneous approximation techniques. Her research bridges theoretical numerical analysis with practical computational applications, particularly in engineering contexts. She serves as a reviewer for top-tier journals including Applied Mathematics and Computation and Journal of Computational and Applied Mathematics , and as a monograph reviewer for Elsevier. She is an active member of professional societies: American Mathematical Society (AMS), Society for Industrial and Applied Mathematics (SIAM), and IEEE. Dr. Џунић led a Ministry-funded project (2018) innovating applied mathematics curricula aligned with ICT trends. She has presented at international conferences including Computational Methods in Applied Mathematics (Berlin, 2012) and the Serbian Mathematical Congress (2018).

Milan Matijevićمشاهده پروفایل

استاد

• Automation and Mechatronics
• Applied Informatics and Computer Engineering
• Control Systems
• +۳ مورد دیگر

Milan Matijević is a Professor at the Faculty of Engineering , University of Kragujevac, Serbia. He holds a position in the Department for Applied Mechanics and Automatic Control , specializing in Automation and Mechatronics, Applied Informatics, and Control Systems. His research focuses on advanced control algorithms, remote laboratories, and educational technologies. Research Interests: His work emphasizes iterative learning control, digital motor control, SCADA systems, and the integration of virtual and remote laboratories into engineering education. Recent studies include applications in vibratory feeders, thermal power plants, and terrorism analysis. Publications: Dr. Matijević has contributed to over 50 articles, with a strong focus on control systems, robotics, and educational tools. Recent trends highlight advancements in reinforcement learning, cyber-physical systems, and problem-oriented learning methodologies. Awards: No scientific awards explicitly mentioned in the provided texts. Labs & Teams: He has developed multiple remote laboratory setups (e.g., hydraulic pump systems, LEGO web labs) and contributed to SCADA applications. His work emphasizes accessibility and innovation in engineering education through digital fabrication and web-based platforms.

• Numerical Analysis
• Iterative Methods
• Nonlinear Equations
• +۴ مورد دیگر

Jovana S. Dzunić is an Associate Professor in the Department of Mathematics at the Faculty of Electronics, University of Niš, Serbia. She has been actively contributing to the field of numerical analysis and computational mathematics since earning her PhD in 2012. Education: Doctorate in Mathematics, Faculty of Natural Sciences and Mathematics, University of Niš (2012) Master's and Graduate Degree in Mathematics, Faculty of Natural Sciences and Mathematics, University of Niš (2001) Her research focuses on numerical methods for solving nonlinear equations , iterative algorithms , and polynomial root-finding . She specializes in developing and analyzing multipoint methods, including those with memory and optimal efficiency. Her work often involves Hermite interpolation, matrix methods, and convergence analysis. The recent publications highlight a consistent focus on iterative root-solvers , simultaneous methods for polynomial zeros , and efficiency optimization in numerical algorithms. These works span journals in applied mathematics, computational mathematics, and numerical analysis, reflecting strong theoretical and computational rigor. Scientific Service and Recognition: Reviewer for top journals: Applied Mathematics and Computation , Journal of Computational and Applied Mathematics , Calcolo , Applicable Analysis and Discrete Mathematics , and Mathematical Reviews Reviewer for Elsevier scientific monographs Active participant in international conferences including the European Congress on Numerical Mathematics and Computational Methods in Applied Mathematics Professional Memberships: American Mathematical Society (AMS) Society for Industrial and Applied Mathematics (SIAM) IEEE Mathematical Association of America (MAA) European Mathematical Society (EMS) She led a nationally funded project in 2018 titled Innovation of a group of subjects in applied mathematics in accordance with trends in information and communication technologies , supported by the Ministry of Education, Science and Technological Development of Serbia. She has published 25 papers in journals with impact factors and contributed significantly to the advancement of numerical iterative methods. She is actively involved in academic service, research, and curriculum development, and continues to be a key contributor in her field.

Sanja Rapajicمشاهده پروفایل

دانشیار

• Numerical Mathematics
• Nonlinear Complementarity Problems
• Operations Research
• +۳ مورد دیگر

Dr. Sanja Rapajic is an Associate Professor at the University of Novi Sad's Faculty of Sciences, Department of Mathematics and Informatics. Her academic journey includes a B.Sc. (1994), M.Sc. (1999), and Ph.D. (2005) from the same institution. She has been an Associate Professor since 2010, following roles as Assistant Professor (2006–2010) and Assistant (2000–2006). Her research focuses on numerical mathematics, particularly nonlinear complementarity problems and systems of nonlinear equations. She teaches courses in financial mathematics, operations research, and numerical methods across disciplines like physics and chemistry. Her research interests emphasize numerical methods for solving complex mathematical systems, including Jacobian smoothing techniques and inexact Newton methods. She has contributed to conferences such as the European Women in Mathematics and the GAMM Annual Conference, and has organized multiple applied mathematics conferences. She co-authored books on Mathematica for scientists and business mathematics. Active in professional societies like JUPIM and EWM, her work bridges theoretical mathematics with practical applications in environmental and industrial engineering. Publications span optimization algorithms, nonlinear systems, and environmental science, reflecting her interdisciplinary approach. Despite no listed awards, her extensive contributions to numerical methods and academic service highlight her expertise and dedication to advancing mathematical research and education.

• Information Systems
• Information Technologies
• Business Intelligence
• +۲ مورد دیگر

Andriana Gaborović is a Lecturer at the Department of Information Technologies , Faculty of Technical Sciences, University of Kragujevac , Serbia. She holds a Master of Information Technology Engineer degree (2021) and is currently pursuing her PhD in Information Technology at the same faculty. Bachelor of Science in Organizational Sciences (2018), Faculty of Organizational Sciences, Belgrade Master of Information Technology Engineer (2021), Faculty of Technical Sciences, Čačak Her research focuses on Information Technologies and Systems , with expertise in: Business Intelligence : Data warehousing, machine learning applications Cloud Computing : Agile portfolio management, cloud analytics Data Science : Regression modeling, sentiment mining, demographic forecasting Recent publications highlight trends in cloud-based systems , predictive analytics for demographics and education, and IoT standards . She actively contributes to accreditation processes and conference organization , including TIE2022 and TIE2024. Awards include the Vuk’s Diploma and Borko Nikitović Foundation Award for academic excellence. She served as Secretary of the Department of Information Technologies (2023–2024).

Saša V. Nikolićمشاهده پروفایل

استاد

• Digital Filter Design
• Signal Processing
• Electronic Circuit Design
• +۲ مورد دیگر

Saša V. Nikolić is a Professor of Electronics at the Faculty of Electronic Engineering, University of Niš. He holds a permanent faculty position with extensive contributions to digital filter design and signal processing research. His educational background includes: Bachelor's Degree in Electronics (1991, University of Niš) Master's Degree in Electronics (1996, University of Niš) PhD in Electronics (2004, University of Niš) Nikolić's research focuses on advanced digital filter design techniques, particularly IIR notch filters, Chebyshev approximation methods, and linear phase systems. His work bridges theoretical circuit design with practical signal processing applications in telecommunications and electronic systems. Recent publications demonstrate expertise in optimizing filter magnitude responses while maintaining phase linearity—a critical challenge in real-time signal processing systems. His publication trends reveal sustained contributions to core electronics journals, with emphasis on non-iterative design methods, multi-notch systems, and thermal characterization of electronic components. Key venues include AEU - International Journal of Electronics and Communications (IF: 2.924) and Circuits, Systems and Signal Processing. Nikolić actively participates in national research projects and has co-authored a monograph of exceptional national significance titled 'On the Direct Design of Recursive Digital Filters' (2012). His textbook 'Signali i Sistemi' (2017) serves as foundational material for electronics students at the University of Niš. He maintains laboratory operations at Room 7 of the Faculty of Electronic Engineering (contact: +381 (18) 529-607) and contributes to curriculum development through departmental committees.

• Numerical Analysis
• Applied Mathematics
• Sustainable Development
• +۳ مورد دیگر

Душан М. Милошевић је редовни професор на Катедри за Математику Електронског факултета у Нишу (Универзитет у Нишу) од 2016. године, са богатом академском каријером која почиње дипломом из Рачунарске технике 1988. и простиже врхунац докторатом из Математике 2005. на Природно-математичком факултету у Нишу. Као члан академске заједнице, доприноси настави и истраживању кроз 33 рада у часописима са Импакт фактором и више уџбеника. Његово образовање обухвата: Докторат из Математике, Природно-математички факултет Ниш (2005) Магистратуру из Математике, Електронски факултет Ниш (1992) Диплому из Рачунарске технике, Електронски факултет Ниш (1988) Истраживачки интереси професора Милошевића су фокусирани на Нумеричку анализу (посебно методе за локализацију нула полинома), те интердисциплинарне примене у области одрживог развоја, паметних градова и еколошког моделовања. Његов рад интегрише Фузи логику и вишекритеријумско доношење одлука за решавање проблема у процени обнове индустријских објеката, моделовању соларне рефлекције и анализи енергетских пројеката, што истиче његову способност превођења апстрактне математике у практична инжењерска решења. Анализа његових радова (2011–2020) открива еволуцију од чисте нумеричке анализе ка интердисциплинарним проблемима: рани радови (2011–2015) развијају методе за нумеричко решавање полиномских једначина, док каснији (2018–2020) примењују ове технике у контексту одрживог развоја, паметних градова и еколошког мониторинга. Овај прелаз од теоријских алгоритама ка применама у енергетици и урбанистици одражава савремене тенденције у математичким наукама. Тренутно учествује у једном националном и међународном истраживачком пројекту, иако детаљи нису наведени. Као аутор више уџбеника (укључујући "Нумеричко решавање нелинеарних једначина" и "Математика 4"), значајно доприноси образовном процесу на Електронском факултету.

Ivan Damnjanovicمشاهده پروفایل

استادیار

• Applied Mathematics
• Graph Theory
• Combinatorics
• +۵ مورد دیگر

Ivan Damnjanovic is an Assistant Professor at the Department of Mathematics, Faculty of Electronics, University of Niš, where he also completed his academic education. He earned his doctorate in 2024 in the field of Applied Mathematics under the Electrical Engineering and Computer Science program, with prior master's and bachelor's degrees from the same institution. His research is centered on graph theory and combinatorics , particularly focusing on transmission irregular graphs, nut graphs, extremal graph indices (such as Sombor and Mostar), and spectral properties of trees and dendrimers. His work bridges theoretical mathematics with applications in mathematical chemistry and computational methods. The most recent articles show a strong trend in structural graph analysis , inverse problems in topological indices , and classification of special graph families . His publications frequently appear in high-impact journals in applied and computational mathematics, reflecting a consistent and impactful research trajectory. Scientific Awards: No scientific awards mentioned in the text. Advising and Grants: Number of students advised: Not specified. Current research projects: 1 national project; no international projects listed. Labs and Research Teams: While no specific lab or team name is mentioned, his collaborations with researchers such as Dragan Stevanović, Tomaž Pisanski, and Nino Bašić suggest active participation in a strong combinatorics and graph theory research group at the Faculty of Electronics.

Aleksandar Karteljمشاهده پروفایل

دانشیار

• Optimization
• Data mining
• Computational biology
• +۴ مورد دیگر

Aleksandar Kartelj is an Associate professor at the Department for Computer Science, Faculty of Mathematics, University of Belgrade. He has been working at the Faculty of Mathematics since 2008, starting as a Teaching assistant, then becoming Assistant professor (2015-2023), and currently Associate professor (since October 2023). He also serves as a Guest professor at the Faculty of Natural Science and Mathematics, University of Banjaluka since 2018. Education: B.Sc. in Computer Science from Faculty of Mathematics, University of Belgrade (2005-2008, GPA 9.94/10.00) M.Sc. in Computer Science from Faculty of Mathematics, University of Belgrade (2008-2010, GPA 9.92/10.00) PhD in Computer Science from Faculty of Mathematics, University of Belgrade (2010-2014, GPA 10.00/10.00) M.Sc. in Quantitative Finance from Faculty of Economics, University of Belgrade (2010-present) Aleksandar Kartelj's research primarily focuses on optimization and data mining. He is a member of the "Modelling and optimization group" at the Faculty of Mathematics. His work involves designing exact and non-exact optimization techniques such as integer (linear) programming models, branch & bound, beam search, variable neighborhood search, and genetic algorithms. These techniques are applied to solve NP-hard problems in computational biology, transportation, logistics, social networks, and for improving machine learning algorithms. His recent publications (2021-2025) span diverse areas including symbolic regression, constrained longest common subsequence problems, graph protection algorithms, Roman domination in graphs, and applications in computational biology and epidemiology. His work frequently appears in high-impact journals such as Journal of Big Data, Expert Systems with Applications, and Knowledge-Based Systems, with many publications classified as M21a (Q1). Scientific Awards: Best paper award at the 2023 Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) for "Integrating Top-level Constraints into a Symbolic Regression Search Algorithm" Aleksandar Kartelj has been involved in several research projects, including being a Research member on the project "Mathematical Models and Optimization Methods for Large-Scale Systems" (2011-2020) and a Research leader on the project "Combinatorial optimization for cancer progression inference and comparison" (2019-present). He has also developed numerous software applications for various organizations including the UN FAO, International Monetary Fund, and several private companies. He has been actively involved in teaching, serving as a Computer science teacher at Computer Gymnasium and Mathematical Grammar School in Belgrade, in addition to his university teaching responsibilities.

Slađana Spasićمشاهده پروفایل

استاد

• Mathematical Sciences
• Biological Sciences
• Fractal Analysis
• +۴ مورد دیگر

Dr. Slađana Spasić is a Senior Researcher at the University of Belgrade - Institute for Multidisciplinary Research , specializing in Living Systems Sciences and Biophysics . She holds a PhD in Mathematical Sciences from the Faculty of Mathematics, University of Belgrade, with additional degrees in Applied Mathematics and Artificial Intelligence . Research Interests : Fractal analysis of physiological signals, nanobionics, biophysics, environmental bioindicators, and nonlinear dynamics in living systems. Recent Work : Focus on carbon dots enhancing photosynthesis, magnetic field effects on neuronal activity, and fractal dimension methods in biomedical imaging. Projects : 2019–2023 COST Action CA18102 Aquatic Animal Tracking Network; 2020–2022 Nanobionic plant productivity project. Professional Activities : Guest editor for Frontiers journals, certified reviewer for Serbian National Accreditation Body, member of Serbian Mathematical Society and Neuroscience Society.