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.
Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices (Oct 2022) Mohammad Loni
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection (Sep 2022) Ali Zoljodi, Mohammad Loni, Sadegh Abadijou , Mina Alibeigi , Masoud Daneshtalab ICANN2022: 31st International Conference on Artificial Neural Networks (ICANN2022)
TAS:Ternarized Neural Architecture Search for Resource-Constrained Edge Devices (Mar 2022) Mohammad Loni, Seyedhamidreza Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin Design, Automation and Test in Europe Conference (DATE'22)
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms (Nov 2021) Mohammad Loni, Ali Zoljodi, Amin Majd , Byung Hoon Ahn , Masoud Daneshtalab, Mikael Sjödin, Hadi Esmaeilzadeh IEEE Transactions on Systems, Man, and Cybernetics: Systems (SMCS)
Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-Landing System (Feb 2021) Najda Vidimlic , Alexandra Levin , Mohammad Loni, Masoud Daneshtalab 16th International Conference on Computer Vision Theory and Applications (VISAPP 2021)
DeepMaker: Customizing the Architecture of Convolutional Neural Networks for Resource-Constrained Platforms (Dec 2020) Mohammad Loni