| 2025 | IJCNN | DIANA: Drone Imagery for Archipelago Navigation and Analysis for Maritime Object Detection. | Mehdi Asadi, Amin Majd, Mohammad Loni, Juha Kalliovaara |
| 2025 | IJCNN | Robust Few-Shot Semantic Segmentation for Blurred and Occluded Objects in Construction Environments. | Maghsood Salimi, Mohammad Loni, Antonio Cicchetti, Marjan Sirjani |
| 2025 | INDIN | Efficient Torque Prediction for Digital Twins in Quarry Operations: A Data-Driven and Expert-Guided Approach. | Abdulkarim Habbab, Anas Fattouh, Mohammad Loni, Koteshwar Chirumalla, Bobbie Frank, Markus Bohlin |
| 2025 | IROS | LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case. | Mohammad Mahdavian, Mohammad Loni, Ted Samuelsson, Mo Chen |
| 2023 | ICAISC | Learning Activation Functions for Adversarial Attack Resilience in CNNs. | Maghsood Salimi, Mohammad Loni, Marjan Sirjani |
| 2022 | DATE | TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. | Mohammad Loni, Hamid Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjdin |
| 2022 | ICANN | 3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. | Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab |
| 2020 | CEC | DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. | Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjdin, Ben H. H. Juurlink, Reza Akbari |
| 2019 | DSD | TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. | Najmeh Nazari, Mohammad Loni, Mostafa E. Salehi, Masoud Daneshtalab, Mikael Sjdin |
| 2019 | ICANN | NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. | Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjdin |
| 2019 | IECON | SoFA: A Spark-oriented Fog Architecture. | Neda Maleki, Mohammad Loni, Masoud Daneshtalab, Mauro Conti, Hossein Fotouhi |
| 2018 | DSD | ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems. | Mohammad Loni, Masoud Daneshtalab, Mikael Sjdin |