Ongoing Research Projects

1. End-to-End Optimization with Edge Intelligence for Reliable Wireless IoT Communications

Project is funded by Air Force Office of Scientific Research (AFOSR)

Duration: 2 years (2020-2022)

Description: The goal of this project is to achieve an end-to-end global optimization of reliable wireless IoT communications in a challenging tropical rural lake environment by interpreting the considered communications system as an auto-encoder model and using belief propagation deep learning (DL)-DNN Bayesian black-box optimization with Gaussian process (BBBO-GP)

2. Unmanned Radiation Monitoring System via the Internet of Drone

Project is funded by Dana Impak Perdana (UKM)

Duration: 2 years (2019-2022)

Description: The Internet of Drone solution is expected to automate the monitoring at these facilities, which allow rapid decision making and reliable communication to avoid radioactive leakage, which may pose a risk towards nationwide disaster.

3. Aerial Navigation and Geo-Fencing for Medical Intervention

Project is funded by CREST

Duration: 3 years (2020-2023)

Description: The research aims to design, develop, and validate the performance of aerial navigation and geofencing technology to allow safe operation for drone medical delivery.

4. Wireless Channel Modelling and Propagation Characteristics of Internet of Things Transmission in Rural Areas

Project is under grant 'Fundamental Research Grant Scheme (FRGS)', funded by Ministry of Higher Education

Duration: 3 years (2019-2022)

Description: This work aims to characterise the wireless channel behaviour that represents Malaysia’s tropical rural areas, where the propagated wireless signal suffers from several imperfections, such as attenuation, diffraction, scattering and absorption due to the presence of various surrounding elements, such as terrain profile, vegetation, river/lake and dense foliage. The proposal also aims to formulate a new propagation channel model in a rural environment that will be useful for future IoT deployment. The outcome from this research is expected to offer a new understanding on the propagation behaviour of current and future wireless IoT technologies, thus help the network engineer to perform accurate planning and deployment in a rural environment.