Collaborations
Research partnerships and collaborations across academic institutions and industry
Map Legend:
All Collaborations
Eindhoven University of Technology
Eindhoven, Netherlands
Medical Ultrasound & Deep Learning
Collaborative research on deep learning for ultrasound imaging, including intravascular ultrasound, plane wave compounding, and shear-wave elastography
Leiden University
Leiden, Netherlands
Deep Reinforcement Learning
Research on deep reinforcement learning algorithms for container stowage planning and maritime logistics optimization
Rotterdam Short Sea Terminals (RST)
Rotterdam, Netherlands
LoadMaster - Container Terminal Optimization
Industrial partnership on applying deep reinforcement learning for container stowage planning and terminal operations optimization
Maasvlakte Portsystem Europe Terminal (MPET)
Rotterdam, Netherlands
LoadMaster - Container Terminal Optimization
Industrial partnership on applying deep reinforcement learning for container stowage planning and terminal operations optimization
Weizmann Institute of Science
Rehovot, Israel
Signal Processing & Compressed Sensing
Collaboration on model-based deep learning and compressed sensing approaches for medical imaging applications
University of Trento
Trento, Italy
Medical AI for COVID-19
Joint research on deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound
Catharina Hospital Eindhoven
Eindhoven, Netherlands
Clinical Applications of ML
Medical partnership on machine learning for mechanical ventilation and clinical decision support systems
Princeton Plasma Physics Laboratory (PPPL)
Princeton, USA
Stellarator Optimization
Visiting Researcher (Aug-Oct 2018). Worked on optimization of stellarator magnetic geometry for increased critical gradients of trapped-electron modes, using proxy relations implemented in STELLOPT.
Max Planck Institute for Plasma Physics
Greifswald, Germany
Stellarator Optimization
Junior Researcher (Jun-Aug 2018). Worked on optimization of stellarator magnetic geometry for increased critical gradients of trapped-electron modes, combining theoretical physics with multi-variate optimization.
DIFFER - Dutch Institute for Fundamental Energy Research
Eindhoven, Netherlands
Machine Learning for Fusion Plasmas
Research Intern (Jul 2017-May 2018). Applied Machine Learning and big data to decrease simulation time for complex phenomena in fusion plasmas, enabling potential real-time control of plasma evolution in fusion devices.
National Institute of Technology Karnataka
Surathkal, India
Chalcogenide Glasses Research
External Collaborator (Oct 2016-Jan 2017). Researched chalcogenide glasses, reviewed patent papers, and collaborated on scientific publications. Reference: Fernandes et al. 'Thermal stability and crystallization kinetics of Bi doped Si15Te85-xBix chalcogenide glassy alloys.' Materials Today: Proceedings 5.8 (2018): 16237-16245.