Find Academic Supervisors

• Protein Biophysics
• Protein Folding
• Amyloids
• +4 more

Natalija D. Polović serves as Full Professor in the Department of Biochemistry at the University of Belgrade's Faculty of Chemistry, where she has progressed through academic ranks since 2006. Her leadership extends to roles including President of the Faculty Council and membership in multiple university commissions for self-assessment and ethics. Educational background includes: BSc in Chemical Sciences (University of Belgrade, 2002) MSc in Chemical Sciences (University of Belgrade, 2005) PhD in Chemical Sciences (University of Belgrade, 2008) Postdoctoral Studies in Medical Sciences (Karolinska Institutet, 2008-2009) Her research centers on protein biophysics with emphasis on conformational dynamics, where she investigates amyloid formation pathways, protein-RNA folding mechanisms, and ligand-binding thermodynamics. Current work leverages advanced spectroscopic techniques to characterize denaturation processes in enzymes like ficin and papain, with applications spanning biotechnology and clinical diagnostics. Her group actively explores functional amyloids for industrial use and develops novel allergy therapeutics through molecular engineering. Publication trends reveal consistent focus on protein stability mechanisms (60% of recent work), enzyme characterization (25%), and diagnostic/therapeutic applications (15%), predominantly utilizing biophysical methods like FTIR and quartz crystal microbalance. This output supports her leadership in bilateral projects with Slovenia and CEEPUS networks. Scientific recognition includes: 10+ international awards (2003-2010), notably 5 EAACI poster prizes IUPAC Award at Serbian Chemical Society Conference (2008) Đarmanović Fund Scholarship at Royal Swedish Academy (2008) Research funding spans 8 major projects including EU COST Actions on cystic fibrosis therapeutics (2010-2014), ICGEB antimicrobial studies (2016-2018), and current bilateral work on functional amyloids (2021-2022). She mentors through CEEPUS mobility programs and teaches core courses including Protein Conformational Transitions and Biochemistry of Macromolecules.

Danijela MiloševićView profile

Professor

• Ontologies
• Intelligent Educational Systems
• E-Learning
• +2 more

Prof. Dr. Danijela Milošević is a Full Professor at the Department of Information Technologies, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With a career spanning over two decades, she specializes in ontologies, intelligent educational systems, and e-learning. PhD in Intelligent Tutoring Systems (2007, Faculty of Organizational Sciences, Belgrade) Master's in Knowledge-Based Systems (1996, School of Electrical Engineering, Belgrade) Academician at the Military Technical Faculty in Zagreb (1991) Her research focuses on ontological engineering , adaptive learning environments , and AI-driven educational systems . She has led international projects like DL@WEB (2010-2013) and OP4L (2010-2012), and contributed to key publications including her monograph Ontološko inženjerstvo u inteligentnim tutorskim sistemima (2008). Notable contributions include: Developing LeMONT ontology-based learner modeling system Advancing e-learning standards for adaptive content delivery Pioneering cognitive approaches to web-based education She has collaborated with institutions in Greece, England, Romania, and Austria, and published over 70 scientific papers.

• Textile Technologies
• Material Science
• Thermal Properties of Textiles
• +3 more

Goran Majstorović is a Professor at the Department of Physics and Materials, Faculty of Technical Sciences in Čačak, University of Kragujevac. He specializes in textile technologies, with a focus on thermal properties of clothing materials and smart textiles. Teaching areas: Technical preparation of clothing production, textile design, thermal insulation analysis Research spans 2011-2023, emphasizing thermal resistance, protective clothing, and adaptive textile systems Key collaborations with institutions like Tekstilno-tehnološki fakultet Zagreb His work bridges material science and practical textile engineering, addressing both industrial applications and innovative design challenges. Publications highlight thermal insulation chamber properties, multi-layer protective jackets, and intelligent clothing systems, often integrating experimental and computational methodologies. Professional history includes 31 years in textile industry leadership roles before transitioning to academia in 2021. He has contributed to international conferences and journals with a focus on practical implementation of textile innovations.

Goran MaјstorovićView profile

Professor

• Textile Technology
• Thermal Properties of Clothing
• Intelligent Clothing
• +2 more

Dr. Goran Maјstorović serves as a Professor at the Department of Physics and Materials, Faculty of Technical Sciences, University of Kragujevac, Serbia, since September 2021. His academic responsibilities include teaching ten specialized courses spanning garment production processes, computer-aided design, and work study methodologies in the clothing industry. His educational foundation comprises a Diplomski rad (Master's equivalent) in Textile Technology from the Faculty of Technology Zagreb (1990) and a Doctoral dissertation on thermal properties of specialized clothing from the same institution (2015). The dissertation title translates to 'Determination of thermal properties of specialized and intelligent clothing during their technical design.' Professor Maјstorović's research centers on experimental analysis of thermal behavior in textiles, with emphasis on intelligent clothing systems and multi-layer garment insulation. His work bridges material science and practical apparel engineering, developing measurement protocols for thermal resistance in protective and adaptive clothing. This expertise directly informs his pedagogical approach in advanced textile technology courses. Publication trends reveal consistent focus on thermal science within textile engineering, evolving from fundamental material testing (2011-2012) toward sophisticated analysis of smart fabrics and multi-layer systems (2016-2023). His recent work demonstrates increasing sophistication in quantifying thermal insulation properties for specialized applications like protective jackets and pilot gear.

Valentina GavranovićView profile

Associate Professor

• Applied Linguistics
• English Language Teaching
• Linguistic Disciplines
• +3 more

Valentina Gavranović is an Associate Professor in the English Studies program at Singidunum University in Belgrade. With over 20 years of teaching experience, she specializes in applied linguistics, language teaching methodologies, and translation studies. She holds a Ph.D. in Language Science from the University of Belgrade and has contributed significantly to educational projects, including Serbia's State Matriculation Project. Education: Ph.D. in Language Science, University of Belgrade (2009-2016) Master's in Language Science, University of Belgrade (2008) Bachelor's in English Language and Literature, University of Belgrade (1996-2001) Research Focus: Her work explores applied linguistics, technology-enhanced language learning, and educational assessment. Recent publications emphasize hybrid pedagogy, AI in education, and cross-cultural translation challenges. She frequently examines the impact of digital tools on language acquisition and teacher development. Awards: Fulbright Award for Excellence in Teaching Professional Contributions: As a teacher-trainer since 2006, she designs professional development programs and has authored textbooks on English semantics and ICT integration in language education. Her collaborative projects focus on innovative teaching practices during the COVID-19 pandemic.

• Information Systems
• E-learning
• Educational Technology
• +3 more

Marija Nikolić is a Lecturer in the Department of Information Technologies at the Faculty of Technical Sciences Čačak, University of Kragujevac. She holds a Master of Pedagogical and Technical Sciences from the Technical Faculty in Čačak, specializing in Informatics in Education. Her career spans over two decades in technical and educational institutions, focusing on integrating information technologies into education and improving teaching methodologies. She has contributed to projects like the ENGLIT initiative enhancing digital competencies in English language teaching. Education: BSc in Technology and Informatics (1998, Technical Faculty Čačak), MSc in Informatics in Education (2010, same institution). Professional roles include laboratory assistant, professional associate in Information Systems, and current lecturer position. She has authored/co-authored over 30 publications in journals and conferences, addressing e-learning, web technologies in education, and ICT applications. Research interests emphasize E-learning systems, multimedia content integration, and technology-driven educational efficiency. Recent work includes studies on smart education frameworks, challenges in digital learning environments, and ICT tools for student performance improvement. She actively participates in international conferences and contributes to textbooks like Informatics and Computing (2014). Her involvement in Erasmus+ projects addresses skills gaps in European industries, focusing on equality and innovation. She collaborates on initiatives like the AEQUALIS4TCLF program (2024-2028) targeting textile and footwear sectors. No scientific awards are explicitly listed, but her extensive publication record reflects scholarly contributions.

• Computer Adaptive Testing
• Information Systems
• E-learning Platforms
• +5 more

Svetlana Anđelić is a Professor at Singidunum University's Faculty of Informatics and Computing, specializing in Information Systems and Educational Technology. She holds a PhD from Union University (2010) focusing on Computer Adaptive Testing (CAT) methodologies. Her academic career includes extensive work in software development, e-learning platforms, and IT applications in education and business. Education: PhD in Management Information Systems (Union University, 2008-2010) MSc in E-Business (University of Belgrade, 2002-2007) BSc in Information Systems (University of Belgrade, 1996-2001) Research focuses on: Computer Adaptive Testing algorithms for education and HR Machine Learning applications in education and energy systems E-learning platforms and remote teaching strategies Cybersecurity in information systems IT-driven business process optimization Rural tourism digitalization Recent work highlights: Developed photovoltaic production forecasting models using GRU networks (2025) Authored books on C# programming, database applications, and software design patterns Lead multiple EU-funded projects on edtech and rural development Labs/Teams: Active in Singidunum's Department of Informatics and Computing, collaborating with Universities of Belgrade and Novi Sad on IT education initiatives.

• Machine Learning
• Software Testing
• Metaheuristic Algorithms
• +3 more

Tamara Zivkovic is a researcher at the Faculty of Informatics and Computing , Singidunum University , with a PhD in Software Engineering from the Faculty of Electrical Engineering, Belgrade . Her work focuses on: Machine learning optimization via metaheuristics Software testing and quality assurance Applications in cybersecurity, healthcare, and energy Research trends from her publications (2023-2025) show expertise in: Recurrent Neural Networks and LSTM tuning Extreme Gradient Boosting adaptations Cyberbullying detection and phishing prevention GANs for secure data generation She holds certifications in: ISTQB software testing Agile methodologies Product management from the University of Alberta

• Deep Learning
• Machine Learning
• Software Engineering
• +7 more

Nemanja Milošević is an Assistant Professor at the Department of Mathematics and Informatics , Faculty of Sciences, University of Novi Sad, Serbia. He actively contributes to open-source communities as a Fedora Project Developer & Ambassador and maintains a personal blog related to academic topics. PhD in Computer Science Specializes in Deep Learning, Federated Learning, and Edge Computing Lectures courses: Deep Learning, Distributed Deep Learning, Business Software Development, Scientific Programming, and Mobile Application Development Research focuses on neural network architectures, system security, and toxicology applications His research spans multiple domains including: Deep Learning optimization techniques Industrial IoT security frameworks Big Data analytics across manufacturing and banking sectors Toxicology modeling with machine learning Edge computing resource management Software quality analysis methodologies Recent publications demonstrate expertise in federated learning implementations, negative feature classification, and deep learning applications in toxicology. He maintains active collaborations across Europe and contributes to IEEE and arXiv publications. As part of his academic practice, Nemanja: Develops open-source software solutions Participates in international research workshops Utilizes modern e-learning platforms (PMF Moodle) Engages in cross-disciplinary research projects Contact: nmilosev@dmi.rs | nmilosev@fedoraproject.org

• Machine Learning
• MPPT Algorithms
• Harmonic Detection
• +5 more

Assoc. Prof. Marko Dimitrijević is affiliated with the University of Niš, Faculty of Electronic Engineering, where he holds the position of Associate Professor since 2021. He leads the Laboratory for Electronic Design Automation (LEDA) and the Laboratory for Electronics. His academic journey includes a PhD in 2012 on 'Electronic System for Polyphase Loads Analysis Based on FPGA' and postgraduate studies from 2005. He has conducted research exchanges at Technische Universität Ilmenau (Germany), IHP Microelectronics (Germany), the University of Southampton (UK), and Universidad Politécnica de Madrid (Spain). Prof. Dimitrijević teaches courses such as 'Introduction to Electronics' and 'System on a Chip' across undergraduate, master’s, and doctoral programs. His research focuses on MPPT algorithms, harmonic detection, FPGA applications, and smart grid technologies. He has supervised two master’s theses and contributed to numerous academic publications. His work bridges theoretical advancements with practical applications in renewable energy systems and power electronics. Education: Bachelor's in Electronics and Telecommunications (2002, Faculty of Electronics, Niš) Master's in Electronics (2005, Faculty of Electronics, Niš) PhD in Electronics (2012, Faculty of Electronics, Niš) Professional Roles: Assistant Professor (2016–2021) Associate Professor (since 2021) Head of LEDA and Electronics Lab Research Highlights: Development of FPGA-based systems for polyphase load analysis MPPT controller optimization for standalone PV systems Nonlinear load characterization using machine learning Labs & Teams: LEDA focuses on electronic design automation and power electronics, while the Electronics Lab supports undergraduate teaching and experimental research.

• Randomness and Computation
• Algorithms and Optimization
• Complexity Theory
• +12 more

Avi Wigderson is the Herbert H. Maass Professor at the School of Mathematics, Institute for Advanced Study, Princeton, where he leads research in theoretical computer science and discrete mathematics. He organizes the CSDM (Computer Science and Discrete Mathematics) program at IAS, fostering interdisciplinary research and collaboration. Research Interests: His primary research areas include randomness and pseudorandomness, computational complexity, circuit and proof complexity, quantum computation, cryptography, and distributed computing. His work bridges computer science and pure mathematics, particularly through algebra, analysis, and combinatorics. He has pioneered foundational results in derandomization, lower bounds, and the interplay between computation and mathematical structures. The recent publications highlight his continued leadership in advancing algebraic and analytic techniques in complexity theory. Themes include operator scaling, invariant theory, expander graphs, arithmetic circuits, and the asymptotic analysis of tensors and matrix spaces. These works often unify computational problems with deep mathematical frameworks, demonstrating the power of interdisciplinary approaches. Scientific Awards: Edsger W. Dijkstra Prize in Distributed Computing (2023) for the paper 'Completeness Theorems for Non-cryptographic Fault-tolerant Distributed Computing' Advising and Grants: Wigderson has advised numerous PhD students, primarily at the Hebrew University and Princeton, and hosted over 50 postdoctoral researchers at IAS, including many who have become leading figures in theoretical computer science. While specific grants are not listed, his sustained productivity and influence suggest long-term funding from major sources such as the NSF, Simons Foundation, or IAS internal support. Labs and Teams: He leads the CSDM (Computer Science and Discrete Mathematics) group at the Institute for Advanced Study, organizing seminars, workshops, and collaborative research initiatives that bring together mathematicians and computer scientists from around the world.

Vladimir MladenovićView profile

Professor

• Symbolic computation and processing
• Artificial intelligence and machine learning
• Deep learning and neural networks
• +7 more

Prof. Dr. Vladimir Mladenović is a Full Professor at the Department of Information Technologies , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. A 1975 native of Paraćin, he earned his Dipl. Ing. from the Faculty of Electronic Engineering, University of Niš (2000), followed by an M.Sc. (2005) and Ph.D. in Technical Sciences (2009) from the University of Kragujevac. His career spans industry (IT Manager, Serbian Glass Factory, 2001–2004), secondary education (teacher, 2004–2009), and academia (Professor of Vocational Studies, 2009–2013) before joining the University of Kragujevac. Research Focus: Symbolic software & tools, higher integration in IT systems Signal & multimedia processing, computer vision & AI/ML 5G/IoT architectures, edge computing, data protection Modern communication systems, web & network technologies He directs the Digital Innovation Lab at his faculty and has authored over 100 peer-reviewed publications in leading journals and conferences, with a strong emphasis on cross-layer modeling, deep learning, and IoT applications. He also co-holds 18 Serbian utility patents covering smart IoT systems ranging from greenhouse monitoring to smartwatch data collection, fire detection, and pedestrian safety. Honors & Professional Standing: Licensed Technology-Transfer Engineer – WIPO & Intellectual Property Office of Serbia (2012) Member, Union of Engineers and Technicians of Serbia Teaching Portfolio: Undergraduate: Modern Software Architectures, Multimedia Systems, Data Protection Master: Modern Communication Systems, Web Programming Doctoral: Modern Network Technologies, Applied Computer Vision

• Educational Technology
• Digital Games
• Computer Graphics and Simulations
• +3 more

Veljko Aleksić is an Associate Professor at the Department of Information Technology, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 15 years of academic experience, he specializes in Educational Technology, focusing on the intersection of digital games, computer graphics, and teaching methodologies. His work bridges theoretical educational frameworks with practical technological applications, making significant contributions to both national and international educational technology communities. Awarded the "Dr Milivoje Urošević" foundation award as the best graduate student, Aleksić earned his Bachelor's degree in Teacher of Technics and Informatics from the Technical Faculty in Čačak with an average grade of 9.59. He continued his academic journey with a Master's degree from the University of Kragujevac (average grade: 10.00) and completed his Doctoral studies at the University of Novi Sad, Faculty of Sciences, with a dissertation titled "Relation between digital gameplay and multiple intelligences profile of higher grade elementary school students." Professor Aleksić's research spans multiple interconnected domains within educational technology. His primary focus lies in investigating how digital games can enhance learning experiences, particularly examining the relationship between gameplay preferences and multiple intelligences profiles of students. This work has led to significant contributions in understanding how different learning styles interact with digital educational tools. His expertise extends to computer graphics and simulations, where he explores innovative approaches to visual learning and virtual environments. Additionally, he has made substantial contributions to teaching methodology, particularly in technics and informatics education, developing frameworks that integrate modern technologies into traditional educational settings. His work on neuroscience connections demonstrates his interdisciplinary approach to understanding educational processes. A review of Professor Aleksić's recent publications reveals a clear trajectory toward increasingly sophisticated applications of technology in education. His work has evolved from foundational studies on digital game-based learning to more complex investigations involving artificial intelligence, virtual reality, and cross-cultural educational comparisons. Recent publications demonstrate a growing emphasis on practical applications of educational technology, with several studies focusing on implementing these technologies in real-world educational settings across Serbia and internationally. His comparative studies between Serbian and Greek educational contexts highlight his expanding international research collaborations and the global relevance of his work. The thematic progression shows increasing sophistication in research methodology and broader educational impact. While specific major scientific awards aren't prominently listed in his profile, Professor Aleksić's extensive involvement as a reviewer for the National Accreditation and Quality Review Body in Higher Education and his participation in numerous international conference program committees represent significant professional recognition. His leadership roles in various educational projects funded by the Ministry of Education, Science and Technological Development of Serbia further demonstrate the value placed on his expertise by national educational authorities. His membership in the IEEE Computer Society Technical Committee on Learning Technology underscores his standing in the international educational technology community. Professor Aleksić has supervised numerous educational initiatives and projects, including "Osnaživanje kompetencija studenata - master profesora tehnike i informatike za preduzetničko obrazovanje i podršku profesionalnom razvoju učenika (MPTIPoPr)" and "Digitalna transformacija predmeta obrazovna tehnologija (DTPOT)" funded by the Ministry of Education. He has served as head of study programs including IAS Tehnika i informatika and MAS Predmetna nastava at the Faculty of Technical Sciences in Čačak. His extensive work with the Institute for Education Quality and Evaluation, and the Institute for the Advancement of Education demonstrates his significant contribution to national educational standards development. His involvement in international projects like ALLVET shows his commitment to European educational cooperation. As an active member of the IEEE Computer Society Technical Committee on Learning Technology and participant in numerous international research collaborations, Professor Aleksić contributes to cutting-edge educational technology development. His work with the Computer Science Laboratory at the Faculty of Technical Sciences in Čačak has fostered an environment for innovative research in educational technology, particularly in the areas of digital games development and computer graphics applications for learning. His leadership in organizing the Technics and Informatics in Education (TIE) conference series has created important platforms for scholarly exchange in the region.

Marina MiloševićView profile

Associate Professor

• Medical Image Processing
• Breast Cancer Detection
• Biomedical Engineering
• +7 more

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.

• Production Technologies
• Material Science
• Thermoviscoplasticity
• +5 more

Dr. Dejan Veljković is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac, where he has been engaged since September 2024. His academic appointment was confirmed by Decision No. IV-04-559/6 of July 10, 2024, from the Council for Technical and Technological Sciences of the University of Kragujevac for the narrow scientific field of Production Technology. His educational background includes: Born in Paraćin on May 20, 1971 Graduated, earned master's degree, and doctorate from Faculty of Mechanical Engineering in Kragujevac, Department of Applied Mechanics and Automatic Control Recipient of Vuk diploma during elementary school Completed high school as mathematical and technical associate Awarded twice for achieving perfect academic average during undergraduate studies Dr. Veljković's research spans multiple engineering disciplines with particular focus on experimental research, identification, modeling and simulation of material characteristics. His work encompasses thermoviscoplasticity of steel and composites, hyperelastic properties of rubber and soft tissues, and numerical methods for nonlinear optimization in applied mechanics. He has made significant contributions to vibrodiagnostics, particularly in developing recursive algorithms for harmonic separation in non-stationary conditions (order tracking) for diagnosing failures in rotating machinery components. His publication record shows a clear progression from fundamental material science research in the late 1990s toward increasingly specialized applications in mechanical diagnostics and biomechanics. The publications reveal dual research tracks: one focused on industrial applications (machinery diagnostics, production technologies) and another on biomedical applications (arterial mechanics, soft tissue modeling). His most cited works relate to dynamic compliance modeling and order tracking techniques for rotating machinery analysis. Dr. Veljković has been involved in several research projects throughout his career: Research in fundamental areas of mechanical engineering (1996-2001) Inelasticity of metals and polymer-based composites (2004-2005) Development of computer methods and software for modeling (2006-2007) Development of software-hardware system for biomechanical analysis of athletes (2012) His professional journey includes positions at Faculty of Mechanical Engineering in Kragujevac (1996-2004), CIMSI Center of University of Kragujevac (2006), Jaroslav Černi Institute of Water Management in Belgrade (2007), Research and Development Center BIOIRC in Kragujevac (2008), and Higher School of Shipping Belgrade (2017-2020) before his current appointment.