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Zeynep Akata is a Liesel Beckmann Distinguished professor of computer science at the Technical University of Munich[1] where she leads the Interpretable and Reliable Machine Learning chair. Akata is also the director of the Helmholtz Institute for Explainable Machine Learning.
Zeynep Akata | |
|---|---|
| Nationality | Turkish |
| Alma mater | INRIA Grenoble-Rhônes-Alpes (PhD) |
| Scientific career | |
| Institutions | Technical University of Munich |
| Thesis | Contributions to large-scale learning for image classification (2014) |
| Doctoral advisor | Cordelia Schmid |
| Website | www |
Education and career
editAkata received her undergraduate degree in Trakya University[2] in Turkey, her MSc from RWTH Aachen and Ph.D. in computer science at the INRIA Grenoble-Rhônes-Alpes. She was a post-doctoral research fellow at the Max Planck Institute for Informatics with Bernt Schiele and at University of California, Berkeley with Trevor Darrell. Akata was an assistant professor at the University of Amsterdam from 2017 to 2019 and she was a full professor at the Cluster of Excellence Machine Learning at the University of Tübingen between 2019 and 2023. While in Tübingen, Akata was also a senior research scientist at the Max Planck Institute for Intelligent Systems, Tübingen.[3]
Research
editAkata's research interests focus on Explainable Multimodal Machine Learning which is in the intersection between Machine Learning, Computer Vision and Natural Language Processing. Below are some of the subfields that she has been actively working on:
- Zero-Shot Learning and Few Shot Learning
- Weakly Supervised Learning
- Generative modeling with multimodal large language models and large language models: data augmentation via GANs, VAEs, SD
- Audio-visual learning, event detection
- Explainability: Transparency, Robustness, Bias mitigation in multimodal large language models
- Explainability: Attribute based learning, disentangled representation learning, attention, uncertainty quantification
- Fine-grained classification: prototypical learning, automatic part discovery
- Integrating language guidance in various computer vision tasks
- Green model adaptation: Adapting existing models to new tasks without increasing their environmental footprint, model compression
Selected awards and honours
edit- 2023 Alfried Krupp Prize [6]
- 2022 ECVA Young Researcher Award [7]
- 2021 German Pattern Recognition Award[8]
- 2019 ERC Starting Grant[9][10]
- 2019 Young Scientist Honour from the Werner-von-Siemens-Ring foundation[11]
- 2014 Lise-Meitner Award for Excellent Women in Computer Science from the Max Planck Society[12]
References
edit- ^ "School of CIT, Department of Computer Science". Retrieved 31 August 2024.
- ^ "Mühendislik Fakültesi TC Trakya Üniversitesi".
- ^ "Max-Planck Institute for Intelligent Systems - Zeynep Akata". Retrieved 29 April 2022.
- ^ "Website Zeynep Akata". Retrieved 29 April 2022.
- ^ "Blog news article". 6 December 2021. Retrieved 2 May 2022.
- ^ "Alfried Krupp Prize press release" (PDF). Retrieved 2 July 2023.
- ^ "ECVA Young Researcher Awards Award". Retrieved 2 July 2023.
- ^ "Award winners German Pattern Recognition Award". Retrieved 2 May 2022.
- ^ "ERC Grants 2019" (PDF). Retrieved 29 April 2022.
- ^ "News ERC Grant awarded to Zeynep Akata". Retrieved 29 April 2022.
- ^ "Young Scientist Honour from the Werner-von-Siemens-Ring foundation". 24 October 2017. Retrieved 29 April 2022.
- ^ "Lise-Meitner Award". Retrieved 29 April 2022.