Sophia Sylvester My interdisciplinary training has equipped me with in-depth knowledge of both cognitive science (including psychology) and computer science topics, which I use for my research on (explainable) artificial intelligence for sleep data. Specifically, I am developing classification models for sleep/wake prediction from radar data in psychiatric hospitals. Most helpful in my work is my strong analytical-scientific mindset. PROFESSIONAL EXPERIENCE PhD Candidate Norwegian University of Science and Technology 04/2023- ‣ Supervisor: Dr. Håvard Kallestad, Prof.Dr. Kerstin Bach ‣ Machine learning and radar data in psychiatric care: sleep/wake estimation and aggression prediction PhD Candidate Osnabrück University 12/2021-03/2023 ‣ Supervisor: Prof. Dr. Martin Atzmüller ‣ Explainable AI research with cybersecurity and EEG data ‣ Teaching: Practical course database systems, Machine learning seminar, Data science seminar Student research assistant Osnabrück University 10/2015-06/2021 ‣ Student lab manager ‣ Supporting tasks in the design, implementation, analysis and publication of studies, contact with the ethics committee Tutor for communications course (KomPra) Osnabrück University 10/2017-09/2020 ‣ Implementation of weekend seminars in person and online ‣ Topics: Presentation, Self-Organization, Stress PUBLICATIONS Sylvester S., Sagehorn M., Gruber T., Atzmüller M., & Schöne B. (2023). SHAP value based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods. Behavior Research Methods (under review). Lanfer, E., Sylvester, S., Aschenbruck, N., & Atzmueller, M. (2023). Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets. In 2023 IEEE 48th LCN (pp. 1-4). Atzmueller, M., Sylvester, S., & Kanawati, R. (2023). Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis. In Proceedings of the 2023 EICC (pp. 153-158). Sagehorn, M., Johnsdorf, M., Kisker, J., Sylvester, S., Gruber, T., & Schöne, B. (2023). Real-life relevant face perception is not captured by the N170 but reflected in later potentials: A comparison of 2D and virtual reality stimuli. Frontiers in Psychology, 14, 1050892. Schöne, B., Sylvester, R.S., Radtke, E.L., & Gruber, T. (2021) Sustained inattentional blindness in virtual reality and under conventional laboratory conditions. Virtual Reality, 25, 209-216. Schöne, B., Kisker, J., Sylvester, R.S., Radtke, E.L., & Gruber, T. (2021) Library for universal virtual reality experiments (luVRe): A standardized immersive 3D/360° picture and video database for VR based research.
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