A/ProfNegin Shariati Moghadam

Radio Frequency (RF) energy harvesting has experienced a rapid development in recent years due to the increasing number of RF transmitter sources producing an abundant ambient microwave energy waste. Furthermore, the development of wireless power transmission (WPT) technologies has triggered impetus for RF energy harvesting. Hence, RF energy scavenging is a promising solution as it has the potential to provide a sustainable energy source to meet upcoming demands.

Efficient ambient RF energy scavenging is a very challenging issue, as it deals with the low RF power levels available in the environment. The scavengeable power levels are generally unknown and can vary unpredictably; therefore sparking research interest to develop highly sensitive RF energy scavengers to capture ambient RF signals over a range of low input power levels.

My research focuses on a real-life RF energy scavenging approach to generate electrical power in urban environments. My current research areas include: Microwave Circuits and Systems, RF Energy Harvesting, low-power IoT, Simultaneous Wireless Information and Power Transfer, Wireless Sensor Networks, Antenna and AgTech.

I have established a large-scale research team of 18 members, including research assistants, senior researchers, senior engineers, and UTS PhD students. As a principal supervisor, I currently oversee 9 PhD students and co-supervise 5 PhD students.

1. Optimized Pixelated Antenna Design for Multistandard Wireless Applications
2. Modulated Waveform Design for Optimal Microwave Simultaneous Wireless Information and Power Transfer
3. Designing a Novel Solution for IoT-enabled Smart Farming by Ultra-Low Power Sensor Networks
4. Sustainable Energy Solution for SMART Farms: Efficient RF Energy Harvester for Wearable IoT Devices
5. Precision Farming: Efficient Simultaneous Wireless Information and Power Transfer (SWIPT) for IoT Devices
6. RF Energy Harvester using Metamaterials
7. Metamaterial-Inspired Lens For Dynamic Beamforming Applications.
8. Metamaterial/Metasurfaces Structures for Near-field /Far-field Applications
9. AI Inspired Microwave Structures for Precision Agriculture Monitoring Systems