Melissa Jia Ying



Melissa is a Postgraduate research student within Faculty of Engineering and Physical Sciences at the University of Southampton. She graduated with an MEng in Electrical and Electronic Engineering degree from Heriot-Watt University Malaysia in 2022. In 2023, she started the PhD research entitled ‘’Cognitive Radio Boosted Communication Coverage Extension for Environment-Aware Unmanned Aerial Vehicle (UAV) Experiencing Non-Line-of-Sight Situations.”

During her undergraduate degree, she completed her final-year project titled “Real-time Road Accident Reporting System with Location Detection using Cloud-based Data Analytics”, of which papers were published and presented at IECON 2022 in Brussels. Her experiences from completing projects at undergraduate level led to her starting a PhD project under Dr. Won SeungHwan, Dr. Khor Jing Huey, and Dr. Vun Jack Chin.

Research Interest

  1. UAV Systems
  2. Drone technology
  3. Robotics


Miss Chong, Melissa Jia Ying

University of Southampton Malaysia

C0301, C0302, C0401, Blok C Eko Galleria, 3, Jalan Eko Botani 3/2, Taman Eko Botani, 79100 Nusajaya, Johor, Malaysia

Current Research Project

Unmanned Aerial Vehicles (UAVs) operating under tree canopy are frequently exposed to unexpected and complicated obstacles, which leads to sudden deterioration of WiFi signal strength under Non-Line-of-Sight (NLOS) environment. The substantially reduced WiFi communication coverage under dense rainforest and farming situations causes temporary UAV control loss and creates critical damage to the UAV. Hence, the adoption of Long Range (LoRa) is proposed as a secondary telemetry communication medium for the UAV navigation, where LoRa is an emerging Low Power Wide Area Networks (LPWAN) technology, optimised for Internet of Things (IoT) applications for its low power consumption and wide area coverage feature. With the aid of cognitive radio technology, our multi-mode communication module constituting WiFi, LTE, and two types of LoRa supporting 433 MHz and 900 MHz, will be optimised to achieve best possible coverage range.