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Z. Atashgahi MSc (Zahra)

About Me

Zahra is a third-year Ph.D. student at the University of Twente,  Data Management & Biometrics (DMB) group. During her Ph.D., she focuses on Deep Learning and, particularly, sparse neural networks. She seeks to develop algorithms to solve different tasks efficiently in terms of computational costs and data requirements.

Expertise

Engineering & Materials Science
Brain
Data Storage Equipment
Energy Resources
Feature Extraction
Neural Networks
Neurons
Time Series Analysis
Topology

Research

Artificial neural networks (ANNs) have gained huge attention over the last few years due to their promising results in a large variety of tasks. However, deep neural networks (DNNs) require plenty of annotated data and are recognized as being computationally demanding. Therefore, deep learning models are not well-suited to applications with limited computational resources, battery life, and labeled instances. Current solutions to reduce computation and annotation costs mostly focus on inference efficiency, while being resource-intensive during training. Zahra aims to address these challenges by developing cost-effective neural networks that can achieve decent performance on various complex tasks using minimum computational resources and labeled samples, both during training and inference of the network.

Publications

Recent
Atashgahi, Z. (2024). Advancing Efficiency in Neural Networks through Sparsity and Feature Selection. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036559829
Atashgahi, Z., Zhang, X., Kichler, N., Liu, S., Yin, L. , Veldhuis, R., Pechenizkiy, M. , & Mocanu, D. C. (2023). Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Poster session presented at ICLR 2023 Workshop on Sparsity in Neural Networks, Kigali, Rwanda.
Atashgahi, Z. (2023). Cost-effective Artificial Neural Networks. In E. Elkind (Ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23 (pp. 7071-7072) https://doi.org/10.24963/ijcai.2023/810
Atashgahi, Z., Zhang, X., Kichler, N., Liu, S., Yin, L. , Veldhuis, R., Pechenizkiy, M. , & Mocanu, D. C. (2023). Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Transactions on Machine Learning Research. https://openreview.net/pdf?id=GcO6ugrLKp

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

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