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Computational Mechanics

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Presentation by FNR INTERMOBILITY visiting professor Karol Miller 

Computational biomechanics for medicine: success stories from neurosurgery planning and vascular engineering

https://www.eventbrite.com/e/computational-biomechanics-for-medicine-success-stories-from-neurosurgery-planning-and-vascular-tickets-16693514752?utm_campaign=new_attendee&utm_medium=email&utm_source=eb_email&utm_term=event_name

Upcoming events

  • Hichem Omrani: Predicting air pollution using remote sensing and sensors measurement

Past events

  • Carlotta Montorsi: Tree based algorithms: implementing Conditional Inference Trees and Forest for old age Frailty Index predictions
  • Minh Vu Chau: Data-driven constitutive laws for hyperelasticity modeling in eigenspace using algorithmic differentiation coupling FEniCS-Pytorch model: application to RVEs
  • Zhiqiang Zhong: Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network
  • Saurabh Deshpande & Milad Zeraatpisheh: Practical implementation session on Neural Networks
  • Arif Sinan Uslu: The effect of self-paced neurofeedback on EEG learning: An experimental setup

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Recent posts

  • Hichem Omrani: Predicting air pollution using remote sensing and sensors measurement
  • Carlotta Montorsi: Tree based algorithms: implementing Conditional Inference Trees and Forest for old age Frailty Index predictions
  • Minh Vu Chau: Data-driven constitutive laws for hyperelasticity modeling in eigenspace using algorithmic differentiation coupling FEniCS-Pytorch model: application to RVEs
  • Zhiqiang Zhong: Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network
  • Saurabh Deshpande & Milad Zeraatpisheh: Practical implementation session on Neural Networks

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