Zahra Babaiee

Portrtait photo of PhD Zahra Babaiee

Zahra Babaiee

TU Wien

 

Supervisor:

Prof. Radu Grosu

 

Project:

“Towards Bio-inspired, Small and Robust Deep Learning Vision Systems”

 

Team

Achievements

 

Honors and awards:

 

– Listed in TU Wien 30 under 30

  • Interviewed among Top 9 for TU Wien Magazine

– Christiana HÖRBIGER Award (3000 €)

  • TU Wien award for international mobility of young scientists

– Young Science Ambassador Austria

  • Invited by OEAD (Austrian National Agency for Education and Internationalization)
    • School visits to talk about my research

 

Research Visits:

 

Research Visit at CSAIL MIT Boston, US, Summer 2023(Expected)

  • CSAIL Distributed Robotics Lab, Invited by Professor Daniela Rus

 

Publications:

  • Zahra Babaiee, Ramin Hasani, Mathias Lechner, Daniela Rus, Rasu Grosu. On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. Accepted at the International Conference on Machine Learning (ICML), 2021.
  • Shranjan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu. 3D-OOCS: Learning Prostate Segmentation with Inductive Bias. Accepted at Trustworthy AI for Healthcare workshop (AAAI) 2022.
  • Julian Lemmel*, Zahra Babaiee*, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer (n ́ee Gruenbacher). Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data. Accepted at AI for Time Series Analysis workshop (IJCAI) 2022.
  • Julian Lemmel*, Zahra Babaiee*, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer (n ́ee Gruenbacher). Prediction of tourism flow with sparse data incorporating tourist geolocations. Accepted at International Data Science Conference (IDSC) 2023.
  • Shrajan Bhandary, Dejan Kostyszyn, Zahra Babaiee,Tobias Fechter, Matthias Benndorf, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu. Investigation and benchmarking of U-Nets on Prostate Segmentation Tasks. Accepted at Computerized Medical Imaging and GraphicsJournal, 2023.