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.
Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.
Sandra M. Đosić is an Associate Professor at the Faculty of Electronics in Niš, University of Niš, Serbia, specializing in Electronics and Embedded Systems. She has been actively contributing to research in real-time systems, fault tolerance, wireless sensor networks, and indoor localization technologies. Research Interests: Her work spans fault-tolerant real-time systems, energy-efficient computing, UWB-based indoor localization, and communication protocols for wireless sensor networks. She explores techniques such as dynamic voltage and frequency scaling (DVFS), tone-based contention resolution, and deflection routing in networks-on-chip to enhance system reliability and efficiency. Publication Trends: Her recent publications (2009–2022) demonstrate a strong focus on improving robustness and performance in embedded and distributed systems. The research integrates signal processing, network optimization, and energy-aware design, primarily applied in industrial and indoor environments. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students are listed, she is currently participating in two national research projects, indicating active involvement in funded research. Her collaborations with researchers such as Igor Stojanovic and Milica Jovanovic suggest a strong team-based research approach. Labs and Research Teams: Although no formal lab or team name is specified, her repeated co-authorship with colleagues from the Faculty of Electronics implies active participation in a research group focused on electronics, communications, and real-time systems.
Milica S. Stojanović is an Assistant Professor at the Faculty of Electronics, University of Niš, Serbia, where she works in the Department of Measurements. Her academic focus lies in metrology and measurement technology, particularly within automated and industrial systems. Research Interests: Her research spans metrology, automatic control, systems management, and non-destructive testing. She specializes in measurement technologies, particularly electromagnetic methods such as eddy current testing for metal conductivity assessment. Her work integrates principles of process automation and industrial instrumentation, contributing to quality control and material characterization in engineering applications. Publication Trends: Her early research output focuses on practical measurement techniques in electrical and industrial engineering, particularly the use of eddy currents for non-invasive material evaluation. The work reflects a strong applied orientation in instrumentation and sensor development within the domain of electrical metrology. Awards and Honors: Advising and Grants: There is no public information available regarding formal student advising, research grants, or funded projects. Labs and Research Teams: She is affiliated with the academic and research infrastructure of the Department of Measurements at the Faculty of Electronics, which supports research in precision instrumentation, sensor systems, and industrial measurement technologies.
Katarina Nasradin is a Lecturer in German language at Singidunum University since 2012. She holds a Doctorate in German Language and Culture from the Faculty of Philology, University of Belgrade (2011–present), following a Master's (2010–2011) and Bachelor's (2006–2010) in German Language and Literature. She previously taught at Studio centar and Kolarac's Centre for Foreign Languages. Her work focuses on innovative teaching methods integrating ICT, online pedagogy, and intercultural communication. Research interests include hybrid foreign language teaching models, digital educational tools, and business language acquisition. Key contributions address challenges in online language education and the efficacy of ICT in classrooms. She has authored/co-authored conference papers on topics such as E-Glossaries, DigidaZu portals, and the disadvantages of purely online teaching. Awarded DAAD and CEEPUS scholarships for didactic training in Leipzig and Vienna. Active in academic conferences like Sinteza and ICT-related research forums. No formal grants or lab affiliations explicitly mentioned.
Бранко Маркоски is a Professor at the Department of Informatics , Faculty of Technical Sciences , University of Novi Sad. He holds a PhD in Computer Science with a dissertation titled 'Resolvent Method for One-Pass Symbolic Testing of Partitioned Program Structures' (2007). His academic journey includes a Master's in Computer Science (2000) focusing on 'Program Testing and Deductive Verification of Correctness', and a Diploma in Automation and Computer Technology (1994). Education : Bachelor's in Automation and Computer Technology, Faculty of Technical Sciences (1987–1994) Master's in Computer Science, Faculty of Technical Sciences (1994–2000) PhD in Computer Science, Faculty of Technical Sciences (2007) Research Interests : Focus on software testing methodologies, formal verification, and program correctness. His work emphasizes symbolic testing techniques and automated approaches to software validation. Awards : Recipient of Spartak Diplomas for academic excellence Winner of multiple competitions in Mathematics and Physics during secondary school Additional Expertise : Fluent in English, active involvement in sports as a basketball delegate.
Dr. Srboljub Simić is a full professor at the University of Novi Sad's Faculty of Science, Department of Mathematics and Informatics. His research focuses on applied analysis, particularly in fluid dynamics, thermodynamics, and mathematical physics. He specializes in multi-component gas mixtures, shock wave propagation, and non-equilibrium systems, with contributions to extended thermodynamics and kinetic models. His work bridges theoretical analysis and computational methods, addressing challenges in capillary phenomena, diffusion processes, and hyperbolic systems. Recent research emphasizes multi-temperature models for polyatomic gases and the mathematical treatment of shock structures. His articles explore entropy production, energy methods for Boltzmann equations, and numerical studies of diffusion in complex mixtures. These contributions advance understanding of rarefied gases and non-equilibrium flows, often employing advanced analytical techniques like the maximum entropy principle and asymptotic analysis. No scientific awards or grants are explicitly mentioned in the provided texts. Dr. Simić has not listed formal advisees, though his teaching includes courses like Mathematical Foundations of Economics and English language training for students. His professional activities include organizing academic events like the 7th International Congress of Serbian Society of Mechanics. Research collaborations and affiliations are centered within the university's mathematics and informatics department, with international involvement in fields like computational fluid dynamics and thermodynamic systems analysis.
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.
Nada Damljanović is a Full Professor at the Department of Mathematics within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. Her academic progression includes positions as Junior Teaching Assistant (2003-2007), Teaching Assistant (2007-2012), Assistant Professor (2012-2017), Associate Professor (2017-2022), and Full Professor (2022-present). Education includes: BSc in Mathematics (2002) from University of Belgrade MSc in Mathematics (2007) from University of Niš PhD in Mathematics (2012) from University of Niš Her research focuses on automata theory , fuzzy systems , semiring structures , and multi-criteria decision-making methods . She investigates mathematical foundations of weighted automata, lattice-based algebraic structures, and applications in engineering decision models. Recent work explores fuzzy relation inequalities and computational methods for automata equivalence. Publications predominantly address mathematical modeling in computer science and decision theory. Most articles focus on automata bisimulations (2010-2014), shifting toward multi-criteria analysis and applied mathematical methods in engineering (2015-2020). Recent works integrate mathematical frameworks with signal processing and electrical engineering applications. She leads/participates in key research projects: Quantitative automata models (QUAM, 2022-2024) Computation methods development (174013, 2011-present) Weighted pushdown automata (DFG-funded, 2019-2020) Algebraic structures in information processing (144011, 2006-2010) Editorial activities include Co-Editor-in-Chief of Mathematica Moravica and Associate Editor for Kragujevac Journal of Mathematics . Teaches undergraduate courses in Mathematics, Discrete Mathematics, and Quantitative Methods, plus graduate courses in Mathematical Modeling and Fuzzy Systems.
Marija Blagojević is a Full Professor at the Department of Information Technologies within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over fifteen years of experience in teaching and research, she has established herself as a leading academic in Information Technologies and Systems. Her work spans multiple domains including artificial intelligence, machine learning, and educational technologies, contributing significantly to both theoretical advancements and practical applications in these fields. Dr. Blagojević began her academic career at the Technical Faculty in Čačak in October 2007, initially conducting exercises for courses in Informatics Methodology and IT Applications-Practicum. She was appointed as an Assistant in June 2008 and has since advanced to her current position as Full Professor. Throughout her career, she has continuously expanded her expertise through various specialized courses including Oracle Academy courses in database design and programming, machine learning from Stanford University, and certifications in Huawei AI technologies. Her research interests primarily focus on the application of artificial intelligence techniques to solve complex problems across diverse domains. She has made significant contributions to neural network applications, developing models for predicting apricot yields, air pollution levels, and student success in programming courses. Her work in e-learning technologies demonstrates innovative approaches for adaptive course delivery using data mining techniques. She has also pioneered research at the intersection of AI and psychology, exploring concepts like 'Artificial Psychology' and 'PsAIchology'. Analysis of Dr. Blagojević's recent publications reveals a clear trajectory toward interdisciplinary applications of artificial intelligence. Her work increasingly bridges computer science with psychology, healthcare, and environmental science. A notable trend is her focus on explainable AI, ensuring complex machine learning models remain interpretable for end-users. Her research also demonstrates strong commitment to applying technology for social good, particularly in education and rural development contexts, as evidenced by projects like WINnovators Space. Scientific Awards and Recognitions Award from 'dr Milivoje Urošević' foundation for best graduating student in 2006/2007 Four awards from Technical Faculty for excellent academic results each school year Scholarship from Fund for Young Talents Scholarship from University of Kragujevac (as one of 11 best students) Scholarship from Čačak municipality Scholarship from 'Denise Hale' Foundation Award for the best second-place innovative idea from the Union of Engineers and Technicians of Serbia (February 2020) Recognition for the best female scientist with most research results at University of Kragujevac (February 2022) Dr. Blagojević has been actively involved in research supervision and grant-funded projects throughout her career. She has served as a reviewer for three scientific journals and participated in significant research initiatives including 'Development of new information and communication technologies using advanced mathematical methods' (Project III 44006) and 'Application of biomedical engineering in preclinical and clinical practice' (Project 41007). Her international collaboration includes participation in TEMPUS project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES and Erasmus mobility at Alexandru Ioan Cuza University of Iaşi. As a member of the Computer Science Laboratory at the Faculty of Technical Sciences, Dr. Blagojević contributes to a collaborative research environment focused on advancing information technologies. Her interdisciplinary approach connects computer science with psychology, healthcare, and environmental science, demonstrating how technology can address complex real-world challenges while enhancing educational outcomes and community development.
Tamara Stojmenović is affiliated with Singidunum University's Faculty of Physical Education and Sports Management as a researcher. Born May 1, 1981 in Tuzla, Bosnia and Herzegovina, she holds a Doctorate in Experimental and Applied Physiology with Sports Medicine from the University of Kragujevac Medical Faculty (2011-2019), a Specialist in Sports Medicine from Belgrade University Medical Faculty (2014-2017), and a Medical Degree from Belgrade University Medical Faculty (2003-2010). She also completed a Higher School diploma in Basketball Coaching (2011-2019). Her research focuses on sports medicine, cardiac health in athletes, post-pandemic physiological recovery, and nutritional strategies for performance optimization. Notable recent work includes studies on atrial fibrillation in endurance athletes, post-COVID-19 cardiorespiratory impairments in elite athletes, and the effects of SARS-CoV-2 strains on aerobic capacity. She has co-authored books on corrective gymnastics in sports and sports medicine questionnaires. Her 15 most recent articles (2021-2024) span topics like myocarditis post-COVID-19 infections, alcohol's impact on sports performance, and positional differences in aerobic capacity among basketball players. While no formal awards are listed, her extensive publication record indicates recognition in sports physiology circles. Her research integrates clinical cardiology with sports science, addressing both elite athlete performance optimization and public health applications such as schizophrenia symptom management through prescribed physical activity.
Nadezhda M. Stojkovic is a Full Professor in the Department of English Language and Literature at the Faculty of Electronics, University of Niš, Serbia. She has been an integral part of the institution since 2002 and was promoted to Associate Professor in 2016 and Full Professor in 2021 in the field of Social Sciences and Humanities. Her work bridges language education and technological disciplines. Ph.D. (Master's level mentioned; Ph.D. implied by professorial rank) Master’s in English Language and Literature, Faculty of Philosophy, University of Niš (1999) Bachelor’s in English Language and Literature, Faculty of Philosophy, University of Niš (1992) Her research centers on English for Specific Purposes (ESP) , particularly in science and technology contexts. She investigates how language shapes and reflects identity , cultural awareness , and interdisciplinary communication . Her pedagogical focus includes oral and written communication skills for engineers and ICT students, emphasizing real-world application and cross-cultural competence. She has developed curricula and teaching materials tailored to technical education. Her publications reveal a consistent focus on the role of language in higher education, especially in non-linguistic disciplines. The articles highlight themes such as identity construction through language , translation as a cultural and personal act , and the integration of cultural content in technical language teaching . These works span international academic publishers and reflect a multidisciplinary approach combining linguistics, education, and cultural studies. While no formal awards are listed, her sustained scholarly output in reputable international publications demonstrates significant academic contribution. Author and co-author of multiple textbooks and book chapters Contributor to Cambridge Scholars Publishing and Peter Lang volumes Active participant in national research projects She has contributed to shaping language education policy and practice at the Faculty of Electronics, developing specialized courses like English for Electronics . Her work supports the internationalization of technical education in Serbia.
Katarina B. Komatovic is an Assistant Professor at the University of Belgrade's Faculty of Chemistry, specifically within the Department of Organic Chemistry. She holds Serbian and English language proficiency along with basic German knowledge, and has been affiliated with the Serbian Chemical Society since 2016. Educational Background: Bachelor of Chemical Sciences (2010-2014) Master of Chemical Sciences (2014-2015) Her teaching portfolio spans interdisciplinary chemistry courses for Biology, Ecology, and Molecular Biology programs, emphasizing foundational and applied chemistry concepts. While no formal research summaries or publications are listed in the source text, her role in chemistry education and departmental activities suggests expertise in pedagogical methods and cross-disciplinary applications of chemistry. Awards: 2015 Special recognition from the Serbian Chemical Society
Lidija Palurović is a Lecturer at the Department of Social and Humanistic Sciences , Faculty of Technical Sciences, University of Kragujevac , where she has taught English language and technical terminology since 2010. With BA (1997) and MA (2009) degrees in English Language and Literature from the University of Belgrade, she is currently a doctoral candidate at the same institution. Research interests include English for Specific Purposes (ESP) in technical domains Impact of digital communication on language education Social media's role in language acquisition Postmodern literary analysis Curriculum development for technical English Recent article trends focus on Technology's influence on ELT methodologies ESP pedagogy and business English Metafictional interpretations of postmodern novels Summary writing as a pedagogical tool in IT Language evolution in digital environments Publications span textbooks like English Terminology in IT (2018) and peer-reviewed papers on ELT, social media, and literature. She also serves as a language editor for the Serbian Journal of Electrical Engineering .
Suzana R. Stojkovic is a Full Professor at the University of Niš, Faculty of Electronics in Niš, Department of Computing and Informatics. She holds a Doctorate from the same faculty (1996) and graduated in Electrical Engineering and Computer Science in 1990. Her academic career includes being elected as an Assistant Professor in 2005 and Full Professor in 2022. Her research focuses on spectral analysis of multi-valued functions, decision diagram optimization, and algorithmic methods in electronics. Notable contributions include the UDDP package and advancements in ternary logic systems through spectral translation techniques. Recent publications (2005-2007) emphasize decision diagram reduction, spectral methods, and stack filter analysis. She has contributed to 6 indexed journal/conference papers, with 1 in impact factor journals. No awards or advising roles explicitly stated in available data.
