Mozhgan Navardi

According to our database, Mozhgan Navardi authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MambaLiteSR: Image Super-Resolution with Low-Rank Mamba Using Knowledge Distillation.

Romina Aalishah, Mozhgan Navardi, Tinoosh Mohsenin

Proceedings of the 26th International Symposium on Quality Electronic Design, 2025

GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices.

Mozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, Tinoosh Mohsenin

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

MetaTinyML: End-to-End Metareasoning Framework for TinyML Platforms.

Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin

IEEE Embed. Syst. Lett., December, 2024

Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons.

Asmer Hamid Ali, Mozhgan Navardi, Tinoosh Mohsenin

CoRR, 2024

2023

MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once.

Mozhgan Navardi, Edward Humes, Tejaswini Manjunath, Tinoosh Mohsenin

IEEE Micro, 2023

Squeezed Edge YOLO: Onboard Object Detection on Edge Devices.

Edward Humes, Mozhgan Navardi, Tinoosh Mohsenin

CoRR, 2023

ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents.

Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin

CoRR, 2023

MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones.

Mozhgan Navardi, Tinoosh Mohsenin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Peak-Power Aware Life-Time Reliability Improvement in Fault-Tolerant Mixed-Criticality Systems.

Mozhgan Navardi, Behnaz Ranjbar, Nezam Rohbani, Alireza Ejlali, Akash Kumar

IEEE Open J. Circuits Syst., 2022

Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems.

Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Micro, 2022

E2EdgeAI: Energy-Efficient Edge Computing for Deployment of Vision-Based DNNs on Autonomous Tiny Drones.

Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation.

Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022