Mohammad Loni, Researcher
Mohammad Loni is a researcher at the School of Innovation, Design, and Engineering at Mälardalen University since October 2022.
My research interests are including autonomous systems, deep learning, automated machine learning (AutoML), and TinyML.
DASS: Differentiable Architecture Search for Sparse Neural Networks (Sep 2023) Seyedhamidreza Mousavi, Mohammad Loni, Mina Alibeigi , Masoud Daneshtalab ACM Transactions on Embedded Computing Systems (TECS 2024)
DASS: Differentiable Architecture Search for Sparse Neural Networks (Sep 2023) Seyedhamidreza Mousavi, Mohammad Loni, Mina Alibeigi , Masoud Daneshtalab EMBEDDED SYSTEMS WEEK (ESWEEK 2023)
Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search (Jul 2023) Mehdi Asadi , Fatemeh Poursalim , Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Ghareh Baghi Nature Scientific Reports 13 (Sci. Rep. 13)
Learning Activation Functions for Adversarial Attack Resilience in CNNs (Jun 2023) Maghsood Salimi, Mohammad Loni, Marjan Sirjani The 22nd International Conference on Artificial Intelligence and Soft Computing (ICAISC 2023)
SARAF: Searching for Adversarial Robust Activation Functions (Jun 2023) Maghsood Salimi, Mohammad Loni, Marjan Sirjani, Antonio Cicchetti, Sara Abbaspour The 6th International Conference on Machine Vision and Applications (ICMVA'2023)
Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices (Oct 2022) Mohammad Loni