Find Academic Supervisors

Ivica BošnjakView profile

Professor

• Algebra
• Graph Theory
• Fuzzy Sets
• +5 more

Ivica Bošnjak is a full professor at the Department of Algebra and Theoretical Computer Science within the Faculty of Sciences at the University of Novi Sad. His research focuses on algebraic structures, graph theory, fuzzy systems, and combinatorial optimization. He has contributed significantly to the study of power graphs, enhanced power graphs of finite groups, and fuzzy algebraic relations. His work integrates abstract algebra with computational methods, addressing problems in group theory, graph classification, and algorithm design. Recent articles highlight advancements in analyzing abelian groups, fuzzy power relations, and optimization techniques for collateral value distribution. While no scientific awards are explicitly mentioned, his extensive publication record (spanning 1992–2024) demonstrates sustained academic engagement. His research trends emphasize interdisciplinary approaches, merging algebraic theory with practical applications in discrete mathematics and algorithmic solutions. No advising or grant details are provided in the available texts. His affiliation with the Faculty of Sciences underscores a commitment to foundational mathematical research without noted lab or team collaborations.

• Artificial Intelligence
• Computer Science
• Fuzzy Logic
• +5 more

Đorđe Obradović is affiliated with Singidunum University's Faculty of Informatics and Computing. He holds a PhD from the University of Novi Sad's Faculty of Technical Sciences in Electrical Engineering and Computing (2003–2011), following a Master's (1998–2003) and Bachelor's (1992–1997) in the same field. His research focuses on artificial intelligence, fuzzy logic, image processing, and geospatial systems. Recent work includes air quality assessment frameworks using fuzzy sets, medical image analysis, and GIS applications. He has authored/co-authored numerous journal articles and conference papers, contributing to domains like neural networks, environmental modeling, and computer vision. His books include Artificial Intelligence: Theory and Applications (Springer, 2021) and Intelligent Systems: Models and Applications (Springer, 2013). Collaborations span academic and industrial projects, emphasizing practical applications of computational methods in real-world scenarios. Publications highlight contributions to fuzzy geometry, road lane detection, and SLAM algorithms, with a strong emphasis on interdisciplinary applications. Obradović's work often integrates machine learning with spatial data analysis, reflecting his expertise in both theoretical and applied computer science. His current research trends align with computational solutions for environmental monitoring, medical diagnostics, and geospatial challenges. No formal awards or grants are explicitly mentioned, though his extensive publication record and book authorship underscore his academic impact. His involvement in Singidunum's informatics faculty suggests teaching and mentoring roles, though specific advisees are not listed here. Projects include software systems for GIS-based simulations, sensor networks, and educational platforms.

• Parallel Computing
• Systolic Arrays
• Matrix Operations
• +4 more

Емина И. Миловановић је редовни професор на Електронском факултету у Нишу, Универзитета у Нишу, где је изабрана 2002. године. Припада Катедри за рачунарство и ради у области рачунарства и информатике. Њена образовна позадина укључује: Докторат из рачунарства и информатике (1993, Електронски факултет у Нишу) Магистратура из рачунарства и информатике (1989, Електронски факултет у Нишу) Диплома из аутоматике (1981, Електронски факултет у Нишу) Професорка Миловановић се бави истраживањима у области паралелног рачунарства, са посебним нагласком на систоличке низове, матричне операције и хардверске имплементације. Њена радови показују систематски приступ оптимизацији алгоритама за специјализоване рачунарске архитектуре. Последњих година, њена истраживања су се проширила на Грид рачунарство и FPGA имплементације. Анализом њених научних радова може се закључити да њена истраживања еволуирају од основних алгоритама за матричне операције (1990-их) ка комплекснијим системима за обраду графова и реорганизације података (2000-их). Посебан допринос представљају њена истраживања у области систоличких низова за ефикасну имплементацију линеарне алгебре. Професорка Миловановић је објавила укупно 25 радова у часописима са IMPACT фактором. Најзначајнији радови обухватају: Радове о систоличким низовима за матричне операције Истраживања у области паралелне обраде графова Грид рачунарство и суперрачунарске платформе Фаулт-толерантне системе за матричне операције Тренутно учествује на националном пројекту. Њена научна активност укључује менторство младих научника и сарадњу на развоју нових паралелних алгоритама за хардверску имплементацију. Иако текст не наводи експлицитно име лабораторије, њена специјализација указује на рад у лабораторији за паралелно рачунарство и хардверску оптимизацију на Електронском факултету.

• 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.

Xavier GoaocView profile

Professor

• Computational Geometry
• Discrete Mathematics
• Combinatorial Convexity
• +5 more

Xavier Goaoc is a Professor of Computer Science at Université de Lorraine, affiliated with the Department of Computer Science & Engineering at École des Mines de Nancy and the Gamble research team (joint between LORIA and INRIA). His research focuses on algorithms and discrete mathematics, particularly discrete and computational geometry, including convex hulls, intersection patterns, topological generalizations, and geometric transversal theory. University: Université de Lorraine School: School of Engineering Department: Department of Computer Science & Engineering Research Team: Gamble (LORIA/INRIA) Emails: xavier.goaoc@loria.fr , xavier.goaoc@univ-lorraine.fr His research spans computational geometry, combinatorial convexity, geometric transversal theory, and random geometric structures. Key topics include homological minors, order types of point sets, and geometric optimization. His 15 most recent publications highlight advancements in computational geometry algorithms, structural complexity, and topological constraints. Notably, his work has received Best Paper Awards at SoCG 2020, 2018, 2016, and 2012. Administrative roles include heading the computer science & engineering department at Mines Nancy and co-chairing the computer science department of the IAEM doctoral school. He is also a member of the Université de Lorraine's ‘pôle AM2I’ council. Teaching activities encompass courses in algorithms, computer architecture, blockchains, and geometric models for vision, with publications and grants reflecting his interdisciplinary impact in computer science and mathematics.

• 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

Mirjana MikalačkiView profile

Professor

• Graph Theory
• Combinatorics
• Positional Games
• +3 more

Mirjana Mikalački is a Full Professor at the Department of Mathematics and Informatics, Faculty of Sciences and Mathematics, University of Novi Sad. Her research focuses on positional games, graph theory, and combinatorial optimization. She holds an office at DMI&DF, second floor, and can be reached via email: mima@dmi.uns.ac.rs . Her personal website is http://people.dmi.uns.ac.rs/~mima/ . Her work explores strategic interactions in games such as Maker-Breaker, Toucher-Isolator, and Walker-Breaker frameworks, with applications to graph structures like cubic graphs and spanning trees. Recent studies emphasize fast strategies in biased games, optimal walk algorithms, and combinatorial game dynamics. Mikalački’s publications demonstrate expertise in multi-stage positional games, constrained game variants, and algorithmic approaches to game resolution. Despite prolific research output, no specific awards or advised students are listed in the provided materials. She contributes to theoretical computer science and discrete mathematics without documented lab affiliations or team collaborations in the text.

Marko SavićView profile

Assistant Professor

• Discrete Geometry
• Algorithms
• Computational Geometry
• +2 more

Marko Savić is an Assistant Professor at the Department of Mathematics and Informatics, University of Novi Sad. His work focuses on discrete geometry, algorithms, and computational geometry. He has contributed to non-crossing matchings, Voronoi diagrams, and efficient algorithm design in geometric problems. His research spans structural analysis of bichromatic configurations, optimization techniques for discrete structures, and algorithmic improvements in geometric settings. Key research areas include algorithm efficiency, combinatorial optimization, and geometric graph theory. Notable work includes studies on rotating ray Voronoi diagrams for floodlight illumination and linear-time feed-link placement algorithms. Recent publications (2023-2024) address novel non-crossing matching variants and their structural properties. His work integrates theoretical foundations with practical applications in sensor networks, spatial decomposition, and transportation systems. Despite no listed scientific awards, his publications reflect sustained contributions to computational geometry and discrete mathematics. No advising relationships or grants are explicitly mentioned in the provided texts. His office is located at DMI&DF ground floor, reachable via (485)-2796 or marko.savic@dmi.uns.ac.rs.

• Computer Science
• Theoretical Computer Science
• Combinatorial Optimization
• +3 more

Gordana Manic is an Assistant Professor at the Center for Mathematics, Computation and Cognition (CMCC) at the University of São Paulo (USP). She holds a degree in Applied Mathematics from the University of Novi Sad, Serbia (1996), a Master's in Computer Science from USP (2001), a PhD in Computer Science from USP (2006), and a post-doctorate from the State University of Campinas (2007). Her research focuses on combinatorial optimization , with expertise in approximation algorithms, polyhedral combinatorics, and combinatorial games on graphs. She received the prestigious Capes Thesis Award in Computer Science (2007) for her doctoral work. She is affiliated with CMCC and works in Room 1032-B, Block B, Santo André campus. Contact: +55 11 4996-0181.

Горан Љ. ЂорђевићView profile

Professor

• Computer Networks
• Wireless Communications
• Localization Systems
• +3 more

Goran Lj. Djordjevic is a Professor at the Department of Electronics, Faculty of Electronic Engineering, University of Nis, Serbia. Appointed full professor in 2009 after progressive promotions from assistant professor (1999) to associate professor (2004), he represents a cornerstone of the institution where he completed all academic degrees. His three-decade career exemplifies deep institutional commitment and scholarly excellence in electronic engineering. His academic foundation was built entirely at the University of Nis: Diploma Engineer in Electronics (1989) Master of Science in Electronics (1994) Doctor of Philosophy in Electronics (1998) Professor Djordjevic's research forms three interconnected pillars: Networks-on-Chip (NoC) innovation with breakthroughs in deflection routing and port allocation; UWB localization systems solving multipath challenges in complex indoor environments through multi-algorithm fusion; and error control coding for storage systems with applications in optical media. His work consistently bridges theoretical rigor and practical implementation, evidenced by 22 impact-factor journal publications spanning VLSI design, wireless communications, and parallel computing. Analysis of his publication timeline reveals strategic evolution: recent work (2021-2022) focuses on real-world NoC optimization and robust indoor positioning, mid-career research (2015-2005) established CDMA bus architectures and fault-tolerance frameworks, while foundational contributions (2001, 1996) in constraint coding and task scheduling underpin his later breakthroughs. This trajectory demonstrates exceptional continuity in advancing communication reliability across hardware and software domains. Scientific recognition includes: No formal awards documented in source materials Regarding academic mentorship, while specific students aren't listed, his sustained research output implies active graduate supervision. Project funding shows zero current national grants, though international collaborations remain unspecified. His 22 impact-factor publications across IEEE, Elsevier, and Springer journals demonstrate consistent productivity through completed research initiatives, with recent work indicating ongoing laboratory activity in wireless and NoC domains.

Ivan DamnjanovicView profile

Assistant Professor

• Applied Mathematics
• Graph Theory
• Combinatorics
• +5 more

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.

Prasad TetaliView profile

Professor

• Discrete Mathematics
• Probability Theory
• Theory of Computing
• +4 more

Prasad Tetali is the Alexander M. Knaster Professor and Department Head in the Department of Mathematical Sciences at Carnegie Mellon University. He holds adjunct professorships at Emory University and the Georgia Institute of Technology. His research focuses on Discrete Mathematics, Probability, and Theoretical Computing, with notable contributions to Markov chains, Isoperimetry, Combinatorics, and Algorithms. Tetali has served in leadership roles, including Program Director of the SIAM Activity Group on Discrete Mathematics and Director of the ACO Ph.D. Program at Georgia Tech. He is an AMS Fellow (2012) and SIAM Fellow (2009). **Education**: Postdoc at AT&T Bell Labs; Ph.D. (1991) from NYU's Courant Institute; M.S. (1987) from the Indian Institute of Science. **Teaching**: Courses include Design & Analysis of Algorithms, Probability Methods in Combinatorics, and Information Theory. **Mentorship**: Advised 11 PhD students and hosted numerous postdocs, including notable figures now in academia and industry. **Awards & Recognition**: Inaugural SIAM Fellow (2009), Inaugural AMS Fellow (2012). **Service**: Editorial roles at journals like SIAM J. on Discrete Mathematics and Random Structures & Algorithms. Organized workshops on topics like Submodularity and Computational Phase Transitions. **Grants & Collaborations**: Principal investigator on NSF-funded projects and contributor to collaborations in combinatorics, probability, and theoretical computer science.

Predrag JovanovićView profile

Assistant Professor

• Urban Design
• Participatory Urban Planning
• Open Public Spaces
• +3 more

Predrag Jovanović is a Teaching Assistant in the Department of Urbanism at the University of Belgrade – Faculty of Architecture , actively contributing to education and research since 2012. He is currently pursuing his PhD thesis on the influence of modernist housing blocks on community gathering spaces in New Belgrade, mentored by Professor Vladan Đokić. B.Arch and M.Arch in Architecture and Urbanism (2009–2011), University of Belgrade PhD studies at University of Belgrade and La Sapienza, Rome (2015–2025) Research Interests focus on participatory urban design, open public spaces, and modernist urban structures. His work bridges historical analysis with contemporary challenges in super-block communities and railway infrastructure planning. Recent Articles examine topics ranging from climate-resilient urban design to railway system optimization, reflecting interdisciplinary engagement with transportation engineering and community-led development. Key themes include: Modernist urban legacy in Belgrade and Rome Data-driven approaches to station capacity analysis Intersection of architectural theory and technical systems Professional Roles include: Teaching Assistant (Faculty of Architecture, 2011–2016) Part-time engagements in architectural projects Accreditation commission member (since 2017) His collaborations span international projects like the Alghero–Negotin initiative (2015–2019) and research at Keio University (2012).

• Discrete Mathematics
• Computational Geometry
• Combinatorics
• +3 more

Thang Pham is a Professor in the Department of Mathematics at the University of Science, Vietnam National University Hanoi. He earned his Ph.D. in Mathematics with special distinction from EPFL Switzerland in 2017 under the supervision of Prof. János Pach. His career includes faculty positions at UCSD, UR, and ETH Zurich, alongside visiting roles at prestigious institutions. Education: Ph.D. in Mathematics, EPFL Switzerland (May 2017) Research Interests: Spanning discrete mathematics, computational geometry, and combinatorics, his work bridges theoretical and applied mathematics with implications in algorithmic geometry and graph theory. Scientific Support: Funded by Vietnam National University, NAFOSTED, and an ERC Advanced Grant, he holds an Erdős number of 2 and actively mentors undergraduate researchers through the Vietnam Polymath REU program. Visiting Positions: External Member/Visiting Professor, Alfred Renyi Institute of Mathematics, GeoScape Research Group (January 2025–) Distinguished Associate Member (Cộng tác viên lâu dài), Vietnam Institute for Advanced Study in Mathematics (March 2025–)

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