Seyedhamidreza Mousavi

I am currently a PhD student at Mälardalen University. My research has focused on the automatic design of high-performance, compact, robust, and reliable deep learning-based systems for autonomous driving.

My research interests focus on trustworthy deep learning, encompassing areas such as adversarial robustness, fairness, and reliability in both discriminative and generative models. I am also deeply engaged in tiny deep learning, exploring techniques like pruning, quantization, and neural architecture search to enable efficient deployment of deep neural networks on resource-constrained devices.