Sara Todorovikj
Sara Todorovikj
Wissenschaftliche Mitarbeiterin
Phone:
+49 371 531-31653
Email:
Address:
Straße der Nationen 62, 09111 Chemnitz
Room:
| Professional Experience | |
|---|---|
| since 04/2025 | Research Assistant, TU Chemnitz, Professur Datenmanagement |
| 10/2021 - 03/2025 | Research Assistant, TU Chemnitz, Professur Prädiktive Verhaltensanalyse |
| 04/2021 - 10/2021 | Student Research Assistant, Albert-Ludwigs-Universität Freiburg, Grundlagen der Künstlichen Intelligenz |
| 04/2021 - 10/2021 | Research Assistant, Syddansk Universitet (SDU), Abteilung für Design und Kommunikation |
| 05/2018 - 10/2021 | Student Research Assistant, Albert-Ludwigs-Universität Freiburg, Cognitive Computation Lab |
| 06/2015 - 08/2016 | Student Research Assistant, Deutsches Forschungszentrum für Künstliche Intelligenz, Robotics Innovation Center Bremen |
|
Education and Qualifications |
|
| 10/2016 - 10/2020 | MSc. Computer Science, Albert-Ludwigs-Universität Freiburg |
| 09/2013 - 09/2016 | BSc. Computer Science, Jacobs University Bremen |
Summer semester: Databases in Practice (Exercise)
| L-P. Meyer, J. Frey, F. Brei, D. Heim, S. Gründer-Fahrer, S. Todorovikj, C. Stadler, M. Schröder, N. Arndt and M. Martin. 2026. Evaluating Large Language Models for RDF Knowledge Graph Related Tasks: the LLM-KG-Bench Framework 3. Semantic Web 17(4). |
| C. Beierle, D. Brand, D. Howey, G. Kern-Isberner, K. Sauerwald, S. Todorovikj and M. Ragni. 2026. Intentional Forgetting Operators -- Formal Foundations and Empirical Support. In Intentional Forgetting with Intelligent Systems, 129–157. |
| S. Todorovikj and F. Hahn. 2025. A Context-Sensitive Reasoning Framework for Knowledge Graphs [Poster abstract]. In Proceedings of the AIKD-SD 2025 Summer School co-located with the NFDI4DS 2025 Conference. |
| F. Hahn and S. Todorovikj. 2025. Ontology Driven Transformation of Camunda BPMN Instances into RDF Knowledge Graphs [Poster abstract]. In Proceedings of the AIKD-SD 2025 Summer School co-located with the NFDI4DS 2025 Conference. |
| S. Todorovikj, L-P. Meyer and M. Martin. 2025. Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworks. In Proceedings of the Posters and Demo Track (SEMANTiCS-PDWT 2025) of the 19th International Conference on Semantic Systems co-located with 19th International Conference on Semantic Systems (SEMANTiCS 2025). |
| S. Todorovikj, D. Brand and M. Ragni. 2025. Empirical Test of a Formal Framework of Forgetting. In Proceedings of the 23rd International Conference on Cognitive Modeling (ICCM 2025), 167–173. |
| S. Todorovikj, D. Brand and M. Ragni. 2025. The Cognitive Complexity of Rule Changes. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2025), 461–467. |
| S. Todorovikj, D. Brand and M. Ragni. 2024. Model Verification and Preferred Mental Models in Syllogistic Reasoning. In Proceedings of the 22nd International Conference on Cognitive Modeling (ICCM 2024), 185–191. [PDF] |
| D. Brand, S. Todorovikj and M. Ragni. 2024. Predicting Complex Problem Solving Performance in the Tailorshop Scenario. In Proceedings of the 22nd International Conference on Cognitive Modeling (ICCM 2024), 30–36. [PDF] |
| J. Blickle, S. Todorovikj and M. Ragni. 2024. Evaluating the Predictive Power of Tasks and Items in IQ Tests. In Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2024), 4833–4840. [PDF] |
| D. Brand, S. Todorovikj and M. Ragni. 2024. Necessity, Possibility and Likelihood in Syllogistic Reasoning. In Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2024), 2776–2782. [PDF] |
| S. Todorovikj, D. Brand and M. Ragni. 2023. Preferred Mental Models in Syllogistic Reasoning. In Proceedings of the 21st International Conference on Cognitive Modeling (ICCM 2023), 252–258. [PDF] |
| S. Todorovikj, D. Brand and M. Ragni. 2023. Towards Bridging the Gap Between Conditional and Syllogistic Reasoning [Poster abstract]. In Proceedings of the 45th Annual Conference of the Cognitive Science Society (CogSci 2023), 3814. |
| S. Todorovikj, D. Brand and M. Ragni. 2022. Predicting Algorithmic Complexity for Individuals. In Proceedings of the 20th International Conference on Cognitive Modeling (ICCM 2022), 240–246. |
| S. Todorovikj, F. Kettner, D. Brand, M. Beggiato and M. Ragni. 2022. Predicting Individual Discomfort in Autonomous Driving. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci 2022), 3103–3109. |
| S. Todorovikj and M. Ragni. 2021. Deductive vs. Inductive Instructions: Evaluating the Predictive Powers of Cognitive Models for Conditional Reasoning. In Proceedings of the 7th Workshop on Formal and Cognitive Reasoning (FCR 2021) co-located with the 44th German Conference on Artificial Intelligence (KI 2021), 74–87. |
| S. Todorovikj and M. Ragni. 2021. How good can an individual's conclusion endorsement be predicted?. In Proceedings of the 19th International Conference on Cognitive Modeling (ICCM 2021), 275–281. |
| S. Todorovikj, G. Kern-Isberner and M. Ragni. 2021. On the Cognitive Adequacy of Non-monotonic Logics. In Proceedings of the 19th International Workshop on Non-Monotonic Reasoning (NMR 2021) co-located with the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021), 194–202. |
| M. Ragni, F. Wagner and S. Todorovikj. 2020. The Power of Nonmonotonic Logics to Predict the Individual Reasoner. In Proceedings of the 18th International Conference on Cognitive Modeling (ICCM 2020), 208–213. |
| S. Todorovikj, P. Friemann and M. Ragni. 2019. A Cross-Domain Theory of Mental Models. In Proceedings of the 16th Pacific Rim Knowledge Acquisition Workshop (PKAW 2019) co-located with the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019), 184–194. |
| S. Todorovikj, P. Friemann and M. Ragni. 2019. Combining Mental Models and Probabilities: A new Computational Cognitive Approach for Conditional Reasoning. In Proceedings of the 17th International Conference on Cognitive Modeling (ICCM 2019), 261–266. |
| "Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworks" @ 21st International Conference on Semantic Systems. Vienna, Austria, September 2025. |
| "Empirical Test of a Formal Framework of Forgetting" @ 23rd International Conference on Cognitive Modeling. Online, June 2025. |
| "The Cognitive Complexity of Rule Changes" @ 47th Annual Meeting of the Cognitive Science Society. San Francisco, USA (Online), August 2025. |
| "Model Verification and Preferred Mental Models in Syllogistic Reasoning" @ 22nd International Conference on Cognitive Modeling. Tilburg, Netherlands, July 2024. |
| "Predicting Complex Problem Solving Performance in the Tailorshop Scenario" @ 22nd International Conference on Cognitive Modeling. Tilburg, Netherlands, July 2024. |
| "Necessity, Possibility and Likelihood in Syllogistic Reasoning" @ 46th Annual Meeting of the Cognitive Science Society. Rotterdam, Netherlands, July 2024. |
| "Evaluating the Predictive Power of Tasks and Items in IQ Tests" @ 46th Annual Meeting of the Cognitive Science Society. Rotterdam, Netherlands, July 2024. |
| "Towards Bridging the Gap Between Conditional and Syllogistic Reasoning" @ 45th Annual Meeting of the Cognitive Science Society. Sydney, Australia (Online), July 2023. |
| "Preferred Mental Models in Syllogistic Reasoning" @ 21st International Conference on Cognitive Modeling. Online, June 2023. [video] |
| "Predicting Individual Discomfort in Autonomous Driving" @ 44th Annual Meeting of the Cognitive Science Society. Toronto, Canada (Online), July 2022. |
| "Predicting Algorithmic Complexity for Individuals" @ 20th International Conference on Cognitive Modeling. Online, July 2022. [video] |
| "On the Cognitive Adequacy of Non-monotonic Logics" @ 19th International Workshop on Non-Monotonic Reasoning. Hanoi, Vietnam (Online), November 2021. |
| "Deductive vs. Inductive Instructions: Evaluating the Predictive Powers of Cognitive Models for Conditional Reasoning" @ 7th Workshop on Formal and Cognitive Reasoning. Berlin, Germany (Online), September 2021. |
| "How good can an individual's conclusion endorsement be predicted?" @ 19th International Conference on Cognitive Modeling. Online, July 2021. [video] |
