Publications

• Sesum-Cavic V., Kuehn E., Toifl L. An Innovative Application of Swarm-based Algorithms for Peer Clustering, International Journal of Intelligent Systems, vol. 2024, Article ID 5571499, 33 pages, Wiley, 2024


• Kastriot Z., Sesum-Cavic V., Pantovic M., Todorcevic V., Zoto M., Radenovic S. A Unified Approach and Related Fixed-Point Theorems for Suzuki Contractions, Symmetry, 16, 739, 2024.


• Varun Bose C.S., Sesum-Cavic V., Udhayakumar R., Antline Nisha B., Al-Omari S., Hari Kishor M. A Note on the Nonlocal Controllability of Hilfer Fractional Differential Equations via Measure of Noncompactness. Journal of Applied Mathematics and Informatics, vol 42, no.2, p.399, 2024.


• Sesum-Cavic V. Introduction to Artificial Intelligence, University of Belgrade, Faculty of Civil Engineering, ISBN: 978-86-7518-235-1, 2023.


• Sesum-Cavic V. Intelligent Information Retrieval in Distributed Systems, Keynote Lecture, 4th International Symposium on Smart and Healthy Cities, ISHC, 2022.


• Malesevic B., Banjac B., Sesum-Cavic V., Korolija N. One algorithm for testing annulling of mixed trigonometric polynomial functions on boundary points. Telfor 2022.


• Fabiano N., Kadelburg Z., Mirkov N., Sesum-Cavic V., Radenovic S. On F-Contractions: A survey. Contemporary Mathematics, 3(3):327-342, 2022.


• Sesum-Cavic V. Challenges in P2P Data Management: Clustering, 7th International Conference on Software Engineering Advances, ICSEA 2022, Lisbon, Portugal, 2022.


• Stojiljkovic V., Radojevic S., Cetin E., Sesum-Cavic V., Radenovic S. Sharp Bounds for Trigonometric and Hyperbolic Functions with Application to Fractional Calculus. Symmetry, 14(6):1260, 2022.


• Kuehn E., Sesum-Cavic V. A Framework-Based Approach for Flexible Evaluation of Swarm-Intelligent Algorithms, Women in Computational Intelligence, Key Advances and Perspectives on Emerging Topics, Springer, pp. 393-412, 2022.


• Stojiljkovic V., Fabiano N. Pantovic M., Radojevic S., Radenovic S., Sesum-Cavic V., Various Series Related to the Polylogarithmic Function, Axioms 2022, 11, 174, 2022.


• Stojiljkovic V., Fabiano N., Sesum-Cavic V. Harmonic series with polylogarithmic functions, Military Technical Courier, 2022.


• Sesum-Cavic V., Handling Complexity in Some Typical Problems of Distributed Systems by Using Self-organizing Principles, Studies in Computational Intelligence, Computational Intelligence, Merelo, J.J., Garibaldi, J., Barranco, A.L., Warwick, K., Madani, K. (Eds.), pp. 115-132, 2021.


• Sesum-Cavic V., A Survey of Swarm-Inspired Metaheuristics in P2P Systems: Some Theoretical Considerations and Hybrid Forms, International Journal of Swarm Intelligence, 5(2): 244-282, 2020.


• Sesum-Cavic V., Swarm-Based Metaheuristics, CET Computer Equipment and Trade, Belgrade, ISBN: 978-86-7991-430-9, 2020.


• Sesum-Cavic V. Kuehn E., Fleischhacker L. Efficient Search and Lookup in Unstructured P2P Overlay Networks inspired by Swarm Intelligence, IEEE Transactions on Emerging Topics in Computational Intelligence, 4(3):351-368, 2020.


• Sesum-Cavic V. Crockett K., Auephanwiriyakul S., Srinivasan D. The Role of the WCI Community in the IEEE CIM, IEEE Computational Intelligence Magazine, 14(4), 2019.


• Sesum-Cavic V. Swarm Intelligence in Distributed Systems Use-cases, Keynote Lecture, 11th International Joint Conference on Computational Intelligence IJCCI, 2019.


• Kuehn E., Crass S., Binder J., Sesum-Cavic V. XVSM Micro-Room Process Modeler, International Journal of Cooperative Information Systems, 28(2), 1950004, 2019.


• Radenovic S., Kastriot Z., Dedovic N., Sesum-Cavic V., Ansari A.H., Bhaskar-Guo-Lakshmikantam- Ciric type results via new functions with applications to integral equations, Applied Mathematics and Computation, Elsevier, vol. 357,75-87, 2019.


• Lazovic G., Sesum-Cavic V., Mitrovic S., Radojevic S., Dedovic N., Chaudhary N.I., Safety Times for Multi-Stage Assembly System, Mathematical Problems in Engineering, vol. 2018, Article ID 8208049, 10 pages, 2018.


• Aydi H., Barakat M.A., Mitrovic Z, Sesum-Cavic V., A Suzuki Type Multi-Valued Contraction on Weak Partial Metric Spaces and Applications, Journal of Inequalities and Applications, 2018:270, 2018.


• Vujakovic J., Auwallu A., Sesum-Cavic V.,Some new results for Riech type mapping on cone b-metric spaces over Banach algebras, University thought - Publication in Natural Sciences, 2018.


• Sesum-Cavic V., Kuehn E., Zischka S., Swarm-Inspired Routing Algorithms for Unstructured P2P Networks, International Journal of Swarm Intelligence Research, IJSIR: Volume 9, Issue 3, Article 2, 2018.


• Ahmed A., Salunke J. N., Sesum-Cavic V., Some new results for generalized T-contractions in cone s-generalized b-mertric space over Banach algebra, Journal of Advanced Mathematical Studies, 2018.


• Radenovic S., Ansari A.H., Saleem N., Dosenovic T., Sesum-Cavic V., Vujakovic J., C-class Functions on Some Fixed Point Results in Ordered Partial Metric Spaces via Admissible Mappings, NS Journal of Mathematics (NSJOM), 2018.


• Crass S., Kuehn E., Sesum-Cavic V., Watzke H. An Open Event-Driven Architecture for Reactive Programming and Lifecycle Management in Space-Based Middleware, Euromicro Conference on Software Engineering and Advanced Applications SEAA, Vienna, Austria, 2017.


• Vorotovic G., Petrovic N., Mitrovic C., Sesum-Cavic V., Possibilities of BLOB (Binary Large OBject) and CLOB (Character Large Object) integration into the core of IoT and using the SQL platform for distributing a large amount of data to HTML, JAVA and php platforms, Emerging Trends and Applications of the Internet of Things, (editors: Kocovic P., Behringer R., Ramachandran M., Mihajlovic R.), book chapter, IGI Global, 2017


• Sesum-Cavic V., Kuehn E., Kanev D., Bio-Inspired Search Algorithms for Unstructured P2P Overlay Networks, Swarm and Evolutionary Computation 29(2016):73-93, Elsevier, 2016.


• Kühn E, Šešum-Čavić V., Schmid T., Dynamic Migration of Cloud Services, accepted for publication 3rd Symposium on Network Cloud Computing and Applications, IEEE NCCA, Rome, Italy, 2014.


• Craß S., Hirsch J., Kühn E., Šešum-Čavić V., Modeling a Flexible Replication Framework for Space-Based Computing, Communications in Computer and Information Science (CCIS), Springer Verlag, J. Cordeiro and M. van Sinderen (editors), Springer, vol.457:256-272, 2014.


• Mitrovic C., Petrovic N., Vorotovic G., Šešum-Čavić V., Stamenkovic D., A numerical-analytical method for determination of the impedance of rotating structures by using the software module, 39th Conference of Maintenance of Machines and Equipments (OMO 2014), Faculty of Mechanical Engineering, Belgrade, Serbia, 2014.


• Šešum-Čavić V., Self-Organizing Principles in Coping with Complexity of Distributed Software Systems, invited talk, Institute of Science and Technology Austria (IST), 2013.


• Craß S., Hirsch J., Kühn E., Šešum-Čavić V., An Adaptive and Flexible Replication Mechanism for Space Based Computing, International Conference of Software and Data Technology, Reykjavik, Iceland , 2013.


• Šešum-Čavić V., Kühn E., Algorithms and Framework for Comparison of Bee-Intelligence Based Peer-to-Peer Lookup, accepted for publ., International Conference on Swarm Intelligence (ICSI 2013), Harbin, China, 2013.


• Šešum-Čavić V. , Tuba M., Rankov S., The Influence of Self-Organization on Reducing Complexity in Dynamic Complex Environments, 12th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '13), Cambridge, UK, 2013.


• Kühn E., Marek A., Scheller T.,Šešum-Čavić V. , Vögler M., A Space-Based Generic Pattern for Self-Initiative Load Clustering Agents, 14th International Conference on Coordination Models and Languages, Sweden, 2012.


• Šešum-Čavić V. , Tuba M., Rankov S., The Influence of Self-Organization on Reducing Complexity in Dynamic Complex Environments, 21st European Meeting on Cybernetics and Systems Research, Vienna, 2012.


• Šešum-Čavić V., Kuehn E., Self-Organized Load Balancing through Swarm Intelligence, Next Generation Data Technologies for Collective Computational Intelligence, Studies in Computational Intelligence, Springer Verlag book chapter, vol. 352, pp. 195-224, 2011.


• Šešum-Čavić V., Kühn E., Comparing configurable parameters of swarm intelligence algorithms for dynamic load balancing, Proceedings of the International Workshop Self-Adaptive Network, IEEE/SASO/SAN 2010, Budapest, Hungary, 2010.


• Šešum-Čavić V., Kühn E., Applying swarm intelligence algorithms for dynamic load balancing to a Cloud Based Call Center, Proceedings of the 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, IEEE/SASO 2010, Budapest, Hungary, 2010.


• Šešum-Čavić V., Kühn E., A Swarm Intelligence Appliance to the Construction of an Intelligent Peer-to-Peer Overlay Network, Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems, Poland, 2010.


• Kühn E., Šešum-Čavić V., A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents, Engineering Societies in the Agents World, Netherlands, 2009; Lecture Notes in Computer Science, Engineering Societies in the Agents World X, vol. 5881, pp. 17-32, 2009.


• Šešum-Čavić V., Kühn E., Peer-to-Peer Overlay Network based on Swarm Intelligence, Engineering Societies in the Agents World, Netherlands, 2009; Lecture Notes in Computer Science, Engineering Societies in the Agents World X, vol. 5881, pp. 65-67, 2009.


• Šešum-Čavić V., Kühn E., Instantiation of a Generic Model for Load Balancing with Intelligent Algorithms, 3rd International Workshop on Self-Organizing Systems, Austria, 2008; Lecture Notes in Computer Science, Self-Organizing Systems, vol. 5343, pp. 311-317, 2008.


• Kühn E., Ruhdorfer A., Šešum-Čavić V., Asynchronous replication conflict classification, detection and resolution for heterogeneous data grids, Proceedings of the International Conference of Software and Data Technology, Spain, 2007.


• Arandjelovic I., Lazovic G., Šešum V., Jandrlic A., Golubovic D., Introduction to Fortran, Vedes, Belgrade, ISBN: 2006ISBN867824030X, 2006.


• Šešum V., Cvetkovic D., Genetic Algorithms for Internet Search: Examining the Sensitivity of Internet Search by Varying the Relevant Components of Genetic Algorithm, Proceedings of the International Conference on Advances in Infrastructure for E-Business, Science, and Education on the Internet, Italy, 2002.


• Šešum V., Tosic D., Genetic Algorithms and Smoothing Filters in Solving the Geophysical Inversion Problem, YU Journal of Operational Research, vol.12(2), pp. 215-226, 2002.


• Šešum V., Kratica J., Tosic D., Solving the Geophysical Inversion Problem Using Genetic Algorithms, YU Journal of Operational Research, vol.10(2), pp. 283-292, 2000.


• Šešum V., Kratica J., Some mathematic methods of solving the geophysical inversion problem, Proceedings of the 25th Jupiter Conference, pp.2.61-2.66, Belgrade, 1999.


• Kratica J., Ljubic I., Šešum V., Filipovic V., Some methods of solving the travelling salesperson problem using genetic algorithms, Proceedings of the 2nd International Symposiumof Industrial Engineering SIE’98, pp. 281-284, Belgrad, 1998.


• Kratica J., Radojevic S., Šešum V., A method of improving the execution time of simple genetic algorithm, Proceedings of the 23th Jupiter Conference, pp.457-462, Belgrade, 1997.


• Šešum V., Kratica J., Radojevic S., Parallelisation of algorithms for solving systems of linear equations, Proceedings of the 23th Jupiter Conference, pp.447-452, Belgrad,1997.


• Kratica J., Filipovic V., Šešum V., Tošic D., Solving of the Uncapacitated Warehouse Location Problem Using a Simple Genetic Algorithm, Proceedings of the 14th International Conference on Material Handling and Warehousing, pp.3.33-3.37, Belgrade, 1996.


• Šešum V., Parallel algorithms for solving linear equations, Proceedings of the Symposium SinfoN’96, 3, Serbia, 1996.

Technical Reports

• Kühn E., Šešum-Čavić V., Self-Organizing Coordinating Management Infrastructures for the Supervision of SLAs in Legacy Service Software, Technical Report TU-Vienna, E185/1, SBC-Group, 2007.


• Sesum-Cavic V., Kuehn E., Lazovic G., On Some Theoretical Considerations for Peer-to-Peer Overlay Network based on Bee Intelligence, Technical Report TU-Vienna, E185/1, SBC-Group, 2011.



• Šešum-Čavić V., Kuehn E., Peer-to-Peer Lookup Based on Slime Mold Intelligence, Technical Report TU-Vienna, E185/1, SBC-Group, 2013.


• Kuehn E., Sesum-Cavic V., Towards a General Methodology for Design, Implementation, Evaluation and Recommendation Process for Bio-Inspired Algorithms, Technical Report TU-Vienna, E185/1, SBC-Group, 2014.

Academic Events and Membership

• Chair of the session Biologically and Socially Inspired Self-* Systems, Symposium L. Self-* Systems Biological Foundations and Technological Applications, 21st European Meeting on Cybernetics and Systems Research EMSCR 2012 Conference


• Organization of SEFM 2016 : International Conference on Software Engineering and Formal Methods & Publicity Chair & Program Committee Member


• Program Committee Member of SEFM 2017 : International Conference on Software Engineering and Formal Methods


• Program Committee Member of ICSEA 2018, ICSEA 2019, ICSEA 2020: International Conference on Software Engineering Advances


• Paper Reviewer: COORDINATION 2014, COORDINATION 2015, SEFM 2017, COORDINATION 2018, ICSEA 2018, ICSEA 2019, ICSEA 2020.IEEE TEVC


• Project Peer Reviewer of the Science Fund of the Republic of Serbia


• Co-Chair of BI-OO-NET 2017 : International Workshop on Bio-Inspired Network Optimization


• Member of the Task Force on Bio-Inspired Self-Organizing Collective Systems


• Keynote Speaker and Chair of the Keynote Session at the 11th International Joint Conference on Computational Intelligence IJCCI 2019


• Chair of the IEEE Computational Intelligence Society/ Women in Computational Intelligence


• Member of the IEEE Computational Intelligence Society/ Women in Computational Intelligence


• Member of the IEEE Computational Intelligence Society


• Member of the IEEE Women in Engineering