Mozhgan Navardi

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Energy Efficiency

Reactive Agents

Data Dissemination

Top Venues

IEEE Open J. Circuits Syst.

Publications

Edward Humes, Mozhgan Navardi, Tinoosh Mohsenin
Squeezed Edge YOLO: Onboard Object Detection on Edge Devices. CoRR (2023)
Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents. CoRR (2023)
Mozhgan Navardi, Tinoosh Mohsenin
MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones. ISCAS (2023)
Mozhgan Navardi, Edward Humes, Tejaswini Manjunath, Tinoosh Mohsenin
MetaE2RL: Toward Meta-Reasoning for Energy-Efficient Multigoal Reinforcement Learning With Squeezed-Edge You Only Look Once. IEEE Micro 43 (6) (2023)
Aidin Shiri, Mozhgan Navardi, Tejaswini Manjunath, Nicholas R. Waytowich, Tinoosh Mohsenin
Efficient Language-Guided Reinforcement Learning for Resource-Constrained Autonomous Systems. IEEE Micro 42 (6) (2022)
Mozhgan Navardi, Behnaz Ranjbar, Nezam Rohbani, Alireza Ejlali, Akash Kumar
Peak-Power Aware Life-Time Reliability Improvement in Fault-Tolerant Mixed-Criticality Systems. IEEE Open J. Circuits Syst. 3 (2022)
Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin
An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation. AICAS (2022)
Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin
E2EdgeAI: Energy-Efficient Edge Computing for Deployment of Vision-Based DNNs on Autonomous Tiny Drones. SEC (2022)