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Image showing Hamid Eghbal-Zadeh

Hamid Eghbal-zadeh, Dr. techn.

Post Doctoral Researcher

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Research

Research interests

  • Unsupervised Representation Learning
  • Learning under Distribution Mismatch
  • Generative Models
  • Acoustic Scene Analysis

Publications

Google Scholar

Advised Students

Bachelor thesis

Fabian Paischer: Improving Generalization of Deep Convolutional Neural Networks for Acoustic Scene Classification.

Master thesis

Khaled Koutini: Large-Scale Weakly Supervised Sound Event Detection For Smart Cars.

Paul Primus: Gradient-Based Explanations for Audio Classifiers.

William Freilinger: Undergoing.

 

PhD thesis

Khaled Koutini: Undergoing.

Miscellaneous

Awards

2019

Co-author of the best student paper at DCASE 2019 workshop (Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification). [link] [report]

 

Team member at the CP.JKU team achieving the 1st place at the MediaEval 2019 (Emotion and Themes Recognition in Music). [link] [report]

 

Team member at the CP.JKU team achieving the 3rd place at the DCASE 2019 Acoustic Event Detection and Classification Challenge Task1.B (Acoustic Scene Classification under Distribution Mismatch). [link] [report]

2018

Team member at the CP.JKU team achieving the 3rd place at the DCASE 2018 Acoustic Event Detection and Classification Challenge Task1.A (Acoustic Scene Classification). [link] [report]

2017

Team member at the CP.JKU team achieving the 4th place at the DCASE 2017 Acoustic Event Detection and Classification Challenge Task1 (Acoustic Scene Classification). [link] [report]

2016

Leading member at the CP.JKU team achieving the 1st place at the DCASE 2016 Acoustic Event Detection and Classification Challenge Task1 (Acoustic Scene Classification). [link] [report]