RamiEisawy

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Rami Eisawy

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Rami Eisawy
PhD Candidate

Image-Based Biomedical Modeling Group (IBBM)
deepc AI Platform

Office: External, Werk1

Email: rami.eisawy@tum.de rami@deepc.ai

Education

  • 2019: M.Sc. in Biomedical Computing, TUM
  • 2014: B.Sc. in Electrical Engineering, University of Waterloo, Canada

Research Interests

  • Anomaly detection
  • Unsupervised learning
  • Segmentation

Available Student Projects

MA: Transformer based anomaly detection for time series data

  • Design and implement a working anomaly detection model on medical time series data utilizing transformer based networks.

MA: Federated learning based anomaly detection

  • Create a centralized model with multiple federated learners (clients) with the aim to improve the task of anomaly detection.

  • Determine optimal aggregation scheme for the global model.


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Title: M.Sc.
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Firstname: Rami
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Lastname: Eisawy
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Languages: English, German, Arab
Groups: Image-Based Biomedical Modeling
Expertise: Segmentation, Medical Imaging
Position: External Phd
Status: Active
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Emailafter: rami@deepc.ai
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Edit | Attach | Refresh | Diffs | More | Revision r1.4 - 01 Feb 2021 - 13:54 - RamiEisawy

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