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.
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
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.

Current Psychology, 1-19