About
I specialize in using predictive modelling methods to derive insights from clinical data, thereby prolonging the life of patients. I am currently working on the CASSANDRA project aimed at developing a predictive approach to detecting complications after surgeries in collaboration with Berlin’s biggest hospital, the Charité. The challenge I face is to combine multiple data sources and employ different AI/ML techniques to get a risk assessment for doctors to increase the survival rate. More information can be found on my personal website.
Work Experience
- 2021: Research Assistant and developer at the German Research Institute for Artificial Intelligence (DFKI), Berlin
- 2019: Teaching Assistant at Utrecht University, Utrecht
Education
- 2019 - 2021: Computer Science and Data Science (M.Sc./M.Eng.) dual degree at Eindhoven University of Technology and Technische Universität Berlin
- 2016- 2019: Computer Science (B.Sc.) at Utrecht University
Research Interests
- Clinical Machine Learning
- Time Series Analysis and Prediction
- Clinical Data Processing and Data Engineering
- Use of Machine Learning for Complication Prediction
Project
CASSANDRA - Clinical ASSist AND aleRt Algorithms in visceral surgery
Teaching
- Master thesis of Hendrik Schmidt: Domain Adaptation for Machine Learning on Multi-Modal ICU Data
- Master Project: Deep Learning Data Generation for Medical Prediction Systems WiSe 2022/2023
Publications at HPI
2024
- Differentially-Private Federated Learning with Non-IID Data For Surgical Risk Prediction. Pfitzner, Bjarne; Maurer, Max M.; Winter, Axel; Riepe, Christoph; Sauer, Igor M.; van de Water, Robin; Arnrich, Bert in 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC) (2024). 120–129.
2023
- HARE: Unifying the Human Activity Recognition Engineering Workflow. Konak, Orhan; van de Water, Robin; Döring, Valentin; Fiedler, Tobias; Liebe, Lucas; Masopust, Leander; Postnov, Kirill; Sauerwald, Franz; Treykorn, Felix; Wischmann, Alexander; Gjoreski, Hristijan; Luštrek, Mitja; Arnrich, Bert in Sensors (2023). 23(23)
- A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition. Konak, Orhan; Wischmann, Alexander; van De Water, Robin; Arnrich, Bert (2023). 1–6.
2022
- Farm Your ML-based Query Optimizer’s Food - Human-Guided Training Data Generation. van de Water, Robin; Ventura, Francesco; Kaoudi, Z; Quiane-Ruiz, J; Markl, Volker (2022).
- Farming Your ML-based Query Optimizer’s Food. Van De Water, Robin; Ventura, Francesco; Kaoudi, Zoi; Quiané-Ruiz, Jorge-Arnulfo; Markl, Volker (2022). 3186–3189.
2020
- The Care2Report System: Automated Medical Reporting as an Integrated Solution to Reduce Administrative Burden in Healthcare. Maas, Lientje; Geurtsen, Mathan; Nouwt, Florian; Schouten, Stefan F; Van De Water, Robin; Van Dulmen, Sandra; Dalpiaz, Fabiano; Van Deemter, Kees; Brinkkemper, Sjaak in Information Technology in Healthcare: IT Architectures and Implementations in Healthcare Environments (2020).