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Professur Datenmanagement
Sara Todorovikj
Professur Datenmanagement 

Sara Todorovikj

Portrait: Sara Todorovikj
Sara Todorovikj
Wissenschaftliche Mitarbeiterin

Berufserfahrung
seit 04/2025 Wissenschaftliche Mitarbeiterin, TU Chemnitz, Professur Datenmanagement
10/2021 - 03/2025 Wissenschaftliche Mitarbeiterin, TU Chemnitz, Professur Prädiktive Verhaltensanalyse
04/2021 - 10/2021 Hilfswissenschaftlerin, Albert-Ludwigs-Universität Freiburg, Grundlagen der Künstlichen Intelligenz
04/2021 - 10/2021 Wissenschaftliche Mitarbeiterin, Syddansk Universitet (SDU), Abteilung für Design und Kommunikation
05/2018 - 10/2021 Hilfswissenschaftlerin, Albert-Ludwigs-Universität Freiburg, Cognitive Computation Lab
06/2015 - 08/2016 Hilfswissenschaftlerin, Deutsches Forschungszentrum für Künstliche Intelligenz, Robotics Innovation Center Bremen
Bildungsweg und Qualifikationen
10/2016 - 10/2020 MSc. Computer Science, Albert-Ludwigs-Universität Freiburg
09/2013 - 09/2016 BSc. Computer Science, Jacobs University Bremen
Sommersemester: Datenbanken in der Praxis (Übung)
Wintersemester: Datenbanken Grundlagen (Übung)
 
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 of the 19th International Conference on Semantic Systems co-located with 19th International Conference on Semantic Systems.
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.
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, 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, 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, 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, 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, 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[PDF]
S. Todorovikj, D. Brand and M. Ragni. 2022. Predicting Algorithmic Complexity for Individuals. In Proceedings of the 20th International Conference on Cognitive Modeling[PDF]
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, 3103–3109. [PDF]
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, 74–87. [PDF]
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, 275–281. [PDF]
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, 194–202. [PDF]
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, 208–213. [PDF]
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, 184–194. [PDF]
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, 261–266. [PDF]
"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]