Find Academic Supervisors

• Theoretical Computer Science
• Algorithm Design
• Distributed Computing
• +6 more

Yannic Maus is a University Professor at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology (TU Graz), Austria, where he heads the newly founded Institute of Algorithms and Theory (established in 2025). He also serves as co-leader of one of the five fields of expertise at TU Graz (FoE Information, Communication & Computation). His academic journey includes: PhD in Computer Science from University of Freiburg, Germany (2014-2018) MSc in Mathematics from RWTH Aachen, Germany BSc in Mathematics and Computer Science from RWTH Aachen, Germany (with a year at National University of Singapore) Professor Maus specializes in theoretical computer science and algorithm design, with a particular focus on distributed computing. His research spans distributed graph algorithms, efficient algorithms, data structures, complexity theory, and geometric algorithms. He approaches problems with both theoretical rigor and practical applications in mind, seeking clean mathematical solutions to questions motivated by real-world systems. His recent publications show a strong focus on distributed and parallel algorithms, particularly in graph theory. The research trends include distributed graph coloring, symmetry breaking, vertex cover problems, and massively parallel computing models. His work often bridges theoretical computer science with practical distributed systems considerations, with applications to large-scale networks and highly parallel systems. Professor Maus has received numerous accolades for his research: 2020 Principles of Distributed Computing Doctoral Dissertation Award Wolfgang-Gentner-Nachwuchsförderpreis 2019 GI Dissertationspreis 2018 Best Paper Awards at SIROCCO 2016, DISC 2016, and DISC 2017 Professor Maus actively mentors PhD students and has secured significant research funding, including FWF grants P36280-N (2023-2027), DOC 183 (2024-2028), I6915 (2024-2028), and FFG grant No. 59263962. His research group maintains strong international collaborations with institutions across Germany, Finland, Iceland, Israel, and beyond, providing students with opportunities for international research visits. He leads the Algorithms & Complexity research group at TU Graz, which includes PhD students Manuel Jakob, Florian Schager, Malte Baumecker, and Kritika Kashyap, as well as postdoc Tijn de Vos. The group is actively involved in theoretical computer science research with a focus on distributed and parallel algorithms, particularly for large-scale networks and highly parallel systems.

Miloš RackovićView profile

Professor

• Artificial Intelligence
• Machine Learning
• Databases
• +4 more

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.

Ivan Z. MilentijevicView profile

Professor

• Computer Science
• Electrical Engineering
• Digital Signal Processing
• +3 more

Professor Ivan Z. Milentijevic is a full professor at the Faculty of Electronics in Niš, University of Niš, within the Department of Electrical Engineering and Computer Science. He earned his PhD in Computer Science from the same institution in 1998, following a Master's (1994) and undergraduate degree (1989) in the same field. His research focuses on systolic arrays, digital signal processing architectures, and project-based learning methodologies. He has published 8 papers in journals with impact factor and is currently involved in 1 domestic and 1 international research project. Research interests include: Optimal design of systolic arrays for matrix operations FIR filter architectures and error-tolerant systems Reconfigurable hardware and parallel processing Educational technologies in project-based learning His recent work (2002–2008) emphasizes configurable architectures for signal processing and collaborative learning systems. Earlier contributions (1996–1998) focused on systolic array optimization for linear algebra operations. Advising/grants: No explicit student/advisor relationships listed. Current projects involve 1 domestic and 1 international collaboration. Grants and funding details not specified. Labs/teams: Affiliated with the Faculty of Electronics' research groups in computer engineering and signal processing, though specific lab names are not mentioned.

Sandra M. ĐosićView profile

Associate Professor

• Electronics
• Real-Time Systems
• Fault-Tolerant Systems
• +7 more

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.

Vladimir M. CiricView profile

Professor

• Computer Networks
• Network Security
• Parallel Computing
• +3 more

Dr. Vladimir M. Ciric is a Full Professor at the Faculty of Electronics, University of Niš, leading the Department of Computer Science. He directs the Laboratory for Advanced Security Systems and specializes in network security, distributed systems, and high-performance computing. His research spans intrusion detection systems, cloud computing cost modeling, and parallel algorithm design. Notable contributions include Hadoop-based network intrusion detection techniques and tiered programming pedagogy. He received the Cisco Excellence Award (2015) for network technology education. Dr. Ciric teaches courses on network design, cloud computing, and security while maintaining research collaborations in cybersecurity and distributed architectures. His recent work focuses on extreme class imbalance in intrusion datasets and sparse matrix optimizations.

• Mathematics
• Computational Mathematics
• Numerical Analysis
• +4 more

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.

• Parallel Computing
• Systolic Arrays
• Matrix Computations
• +3 more

Emina I. Milovanović is a full professor at the Department of Computing and Informatics, Faculty of Electronic Engineering, University of Niš. She has held this position since 2002 and has a distinguished career spanning over three decades. Her academic journey includes a PhD (1993), master's (1989), and undergraduate degree (1981) in Computing and Informatics from the same faculty. Academic Career: Full Professor since 2002 Education: PhD (1993), MSc (1989), BSc (1981) Her research focuses on parallel computing, systolic arrays, and hardware implementation of algorithms on reprogrammable platforms. Key areas include matrix computations, fault-tolerant systems, and FPGA-based solutions. She has authored 25 articles in impact-factor journals and contributes to national and international projects. Her work emphasizes systolic array architectures for matrix operations, fault-tolerant designs, and grid computing. Notable contributions include algorithms for shortest paths, Gaussian elimination, and matrix-matrix multiplication optimizations. She maintains an active role in academic administration and research collaborations, with a focus on advancing parallel computing methodologies and their practical applications.

• Computer Engineering
• Internet of Things (IoT)
• Human-Computer Interaction
• +7 more

Diјana Stoјić is a Lecturer at the Department of Computer and Software Engineering , Faculty of Technical Sciences Čačak , affiliated with the University of Kragujevac . She holds a Master's degree in Computer Engineering and is currently pursuing her PhD in Electrical and Computer Engineering at the same faculty. Her academic role involves teaching subjects such as Programming Languages, Human-Computer Interaction, and Visual Programming. Born: March 7, 1988, in Foča, Bosnia and Herzegovina Education: Primary (Vuk Karadžić School, Čačak), Technical School in Čačak (Computer Engineering), BSc and MSc from the Technical Faculty in Čačak Her research interests span Computer Engineering , Internet of Things (IoT) , Machine Learning , and Human-Computer Interaction . Recent publications highlight her work in artificial neural networks , augmented reality applications , and image classification for agricultural and medical purposes. She has contributed to projects like the TR32043 project on low-power systems and the DeSKoll project on German-Serbian language resources. Notable scientific awards include: Award for Best First-Year Student in Electrical Engineering (Technical Faculty in Čačak) Scholarship from the Ministry of Education, Science, and Technological Development (2013-2017) Her grant involvement includes participation in the TR32043 project (2011-2019) and the DeSKoll project (2024-2025). She has also collaborated on lab experiments and remote engineering education initiatives during the pandemic.

Ivana S. RandjelovicView profile

Assistant Professor

• Metrology and Measurement Technology
• Pseudorandom Encoding
• Virtual Instrumentation
• +6 more

Ivana S. Randjelovic is an Assistant Professor at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Metrology and Measurement Technology. She has been actively involved in research and academic activities since her appointment as assistant in 2010. Educational Background: Bachelor's Degree: Automation and Electronics, Faculty of Electronics in Niš (2001) Master's Degree: Metrology and Measurement Technology, Faculty of Electronics in Niš (2006) Her research focuses on pseudorandom encoding , virtual instrumentation , and industrial measurement systems , with applications in sensor linearization, position determination, and automation. She has developed high-resolution encoders and nonlinear ADCs for precise industrial sensing. Her publications reveal a consistent trend in the application of pseudorandom binary sequences and virtual instrumentation for robust, high-precision measurement solutions in industrial environments. The work spans encoder design, signal processing, and embedded control systems, with a strong emphasis on practical implementation. Scientific Projects: Participation in 4 scientific research projects funded by the Ministry of the Republic of Serbia Current involvement in 2 national projects Work in the metrology laboratory for electromagnetic quantities at the Faculty of Electronics She contributed to the development of the script "Computerized Measuring and Information Systems in Industry" in collaboration with Austrian Cooperation Eastern Europe WUS Austria (2005). While no formal students are listed, her extensive collaborative research suggests mentorship and advisory roles. No scientific awards are mentioned in the available text.

Lidija FodorView profile

Assistant Professor

• Optimization
• Big Data Analytics
• Clustering Algorithms
• +3 more

Lidija Fodor is an Assistant Professor at the Department of Mathematics and Informatics, University of Novi Sad, Serbia, based in the Information Technologies and Systems office on the second floor of the DMI&DF building. Her core research areas include: Optimization (specializing in distributed/parallel algorithms) Big Data Analytics (banking, cross-sectoral applications) Clustering Algorithms (convex clustering, hierarchical methods) Time-series Analysis (psychological domains) Distributed Computing (HPC clusters, multi-agent systems) Data Mining (real-world implementation) Recent publications (2012-2025) reveal a strong focus on algorithmic innovation for distributed optimization, with significant contributions to parallel Levenberg-Marquardt methods, ADMM-based clustering, and performance evaluation in HPC environments. Her work bridges theoretical optimization with practical applications in banking (CaixaBank case study) and psychological time-series analysis. Scientific Awards: No awards mentioned in provided text Advising and Grants: No student advisement information available No grant funding details provided

Ivan KrstićView profile

Associate Professor

• Digital Signal Processing
• Filter Design
• IIR Filters
• +3 more

Ivan Krstić is an Associate Professor at the Department of Electrical Engineering and Computer Science, Faculty of Engineering, University of Kragujevac, Serbia. His contact email is ivan.krstic@kg.ac.rs . His primary research focuses on digital signal processing and electronic filter design, with specialization in: IIR filter structures (integrators, differentiators, notch filters) Optimization techniques for magnitude/phase responses (Chebyshev, maximally-flat) Microwave/RF filter implementations Allpass-based filter architectures Numerical methods for filter synthesis Recent publications demonstrate strong emphasis on: Linear-phase differentiator design Multi-notch filters with optimized pole configurations Chebyshev approximation methods Microstrip implementations for RF applications

Igor Z. MilovanovicView profile

Professor

• Applied Mathematics
• Parallel Computing
• Algorithm Design
• +2 more

Igor Z. Milovanovic serves as a Full Professor in the Department of Mathematics at the Faculty of Electronic Engineering, University of Nis, Serbia, a position he has held since his appointment in 1991. His academic career is deeply rooted in the institution where he completed all his formal education, establishing him as a cornerstone of the mathematics and computing disciplines within this engineering faculty. His educational background reflects a lifelong commitment to applied mathematical sciences at the University of Nis: PhD in Applied Mathematics (1980), Faculty of Electronic Engineering MSc in Applied Mathematics (1978), Faculty of Electronic Engineering BSc in Mathematics (1975), Faculty of Electronic Engineering Professor Milovanovic's research program bridges theoretical mathematics and practical computational engineering, with primary expertise in parallel computing architectures and algorithm optimization. His work focuses on systolic array implementations for matrix operations, graph algorithms, and linear algebra problems, consistently targeting hardware-efficient solutions for high-performance computing challenges. This interdisciplinary approach integrates mathematical rigor with computer architecture considerations to solve complex computational problems. Analysis of his publication trajectory reveals a sustained concentration on systolic array methodologies across three decades, evolving from foundational matrix algorithms in the 1990s toward FPGA-based hardware implementations and fault-tolerant systems in the 2000s. With 50 total publications including 32 in impact-factor journals, his contributions demonstrate significant impact in parallel processing and reconfigurable computing domains, particularly in optimizing classical algorithms for specialized hardware architectures. No scientific awards or major honors are documented in the available records. He currently participates in one national research project, though international collaborations appear absent from his active portfolio. His advisory activities are not explicitly detailed, but his extensive publication history suggests substantial mentorship of graduate researchers. The professor operates within the Department of Mathematics framework at the Faculty of Electronic Engineering, with no indication of dedicated laboratory facilities or named research teams in the provided documentation. His work remains closely integrated with the department's computational mathematics focus while maintaining strong connections to computer engineering applications.

• Computational Electromagnetics
• Antenna Design
• TLM Modeling
• +1 more

Nebojša S. Dončov is Full Professor at the Department of Telecommunications, Faculty of Electronic Engineering, University of Niš. As Vice-Dean for Science and IEEE Senior Member, he leads research in computational electromagnetics with applications in antenna design and electromagnetic compatibility. His TLM modeling techniques have been validated internationally. Education & Affiliations: PhD in Telecommunications (2002) Corresponding Member of Academy of Engineering Sciences of Serbia IEEE MTT/AP/EMC Society Senior Member Research Focus: Pioneers cylindrical TLM methods for: Conformal antenna analysis EM propagation modeling On-body communication systems Machine learning-assisted EM simulation Publication Trends: Recent IEEE Transactions papers demonstrate advances in neural network applications for antenna optimization and experimental validation of novel simulation techniques. Research consistently bridges theoretical electromagnetics with practical wireless system design. Awards & Projects: Aleksandar Marinčić Award (2017) URSI Young Scientist Award (2002) NATO SPS Project Director: UAV-Based Explosive Detection Royal Society projects on sensor networks Teaching & Service: Authors textbooks on antenna theory and simulation techniques. Chairs IEEE TELSIKS conferences and coordinates Erasmus+ collaborations with European technical universities.

• Parallel Computing
• High-Performance Computing
• Computer Architecture
• +3 more

Наталија М. Стојановић serves as a full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. Her academic career is anchored at this institution where she earned all her degrees and achieved professorship in 2020. Education: Diploma in Electrical Engineering and Computing (1999) Magister degree in Electrical Engineering and Computing (2003) Doctorate in Computer Science and Informatics Her research focuses on parallel computing architectures , particularly systolic arrays for matrix operations. She develops fault-tolerant systems and hardware acceleration techniques, with significant contributions to unidirectional/bidirectional array designs and transformation matrices for efficient computation. Her work bridges theoretical algorithms and practical hardware implementation. Publication analysis reveals a consistent focus on matrix-vector multiplication (70% of listed works) with emphasis on fault tolerance (30%) and non-planar architectures (20%). Recent work (2005-2007) shows increased specialization in unidirectional arrays and educational tools. Current Activities: Participates in 1 national research project No international projects listed 2 journal publications in impact-factor journals Based in Niš at Aleksandra Medvedeva 4, she maintains active research while contributing to academic infrastructure at the Faculty of Electronic Engineering.

• Numerical Analysis
• Iterative Methods
• Nonlinear Equations
• +4 more

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.