Hasso-Plattner-Institut
Prof. Dr.-Ing. Bert Arnrich
 

Robin van de Water

Research Assistant, PhD Candidate

Phone: +49-(0)331 5509-3436


Room: G-2.1.11


Email: robin.vandewater(at)hpi.de

 

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

2024

  • Differentially-Private Fe... - Download
    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 Preprint (2024).
     

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).