Fabian Stolp

research Interests

• Cognitive load in software development
• Neural signal processing
• Applications of wearable electroencephalography (EEG) devices in software engineering
• Machine learning

Projects

• Cognitive Load in Software Development - A Cost-Effective Psychophysiological Assessment
• CognitIDE - An IDE Plugin for Facilitating Physiological Assessments in Software Engineering
• Measuring Mental Workload in Daily Life using EEG, PPG and EDA Sensors
• SensorHub
• N-of-1 Trials to Estimate Individual Effects of Music on Concentration

teaching

Project Supervision

Winter and Summer Term 2022/23	Bachelor Project	Does my watch know that I need a break? Integration of a biofeedback module into the SensorHub system
Summer Term 2024	Master Project	Code With the Flow
Winter Term 2024/25	Master Project	Coding Rhythms: Physiological Insights Into Software Development

Thesis Supervision

Master's

2023	Alisher Turubayev	Analysis of Machine Learning and Deep Learning Models for Estimating Cognitive Load from Physiological Data in Software Development Contexts
2024	Md Abdullah	Researching Developer Efficiency: Preparation and Analysis of a Multimodal Physiological Dataset for Assessing Cognitive Load in Source Code Comprehension

Bachelor's

2023	Karl Broschke	A Comparative Study of Lab Streaming Layer Reliability and Performance in Mobile and Stationary Setups for Real-Time Data Acquisition
2023	Malte Stellmacher	OpenEye - A Tool for Assessing Indicators of Developers’ Cognitive Load in IntelliJ IDEA

Internship Supervision

Winter Term 2024/25

Annemarie Uhlig

publications

Google Scholar

Gärtner, T., Stolp, F., Arnrich, B., & Konigorski, S. (2026). Study protocol for PIANo-1: Personalized Investigation of music’s effect on Attention in a series of N-of-1 trials. Contemporary Clinical Trials Communications, 49, 101606.

Uhlig, A., Brandebusemeyer, C., Stolp, F., Pour, H. H., & Arnrich, B. (2025, July). Examining Software Developers’ Cognitive Load During Daily Activities with Wearables. In Student Conference Proceedings (Vol. 1, No. 1, pp. 1936-1936).

Stolp, F., Brandebusemeyer, C., Hradilak, F., Kursawe, L., Menger, M., Sauerwald, F., & Arnrich, B. (2025, May). Using CognitIDE to Capture Developers' Cognitive Load via Physiological Activity During Everyday Software Development Tasks. In 2025 IEEE/ACM Second IDE Workshop (IDE) (pp. 46-51). IEEE.

Stolp, F., Stellmacher, M., & Arnrich, B. (2024, July). CognitIDE: An IDE plugin for mapping physiological measurements to source code. In Companion proceedings of the 32nd ACM international conference on the foundations of software engineering (pp. 592-596).

Stolp, F. (2023, May). Assessing Cognitive Load in Software Development with Wearable Sensors. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (pp. 227-229). IEEE.

Behrens, F., Bischoff, S., Ladenburger, P., Rückin, J., Seidel, L., Stolp, F., ... & Hunger, M. (2018, April). MetaExp: Interactive explanation and exploration of large knowledge graphs. In Companion Proceedings of the The Web Conference 2018 (pp. 199-202).

personal

Work Experience:

• 2019 - 2021: Hasso Plattner Institute, Department Digital Health – Connected Healthcare, Student Assistant
• 2022 - Today: Hasso Plattner Institute, Department Digital Health – Connected Healthcare, PhD Candidate, Scholarship Information and Data Engineering, Scholarship Digital Health

Education:

• 2019 - 2021: Digital Health (M.Sc.) at Hasso Plattner Institute, Potsdam
• 2018 - 2019: Exchange semester at Blekinge Institute of Technology, Karlskrona
• 2015 - 2018: IT-Systems Engineering (B.Sc.) at Hasso Plattner Institute, Potsdam