Keynote Speaker 4

Assoc. Prof. Ir. Dr. Hafiz Fazalul Rahiman

Universiti Malaysia Perlis, Malaysia

"Sensors and Tomography"

Biography: Mohd Hafiz Fazalul Rahiman received the B.Eng. degree in electrical (control and instrumentation), the M.Eng. and Ph.D. degrees in electrical engineering from Universiti Teknologi Malaysia, in 2003, 2005, and 2013, respectively. In 2006, he joined as a Teaching Staff Member at Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia, where he is currently an Associate Professor and a Director of UniMAP Press. His research interests include process tomography, sensors, and instrumentations. He has conducted numerous researches on Tomography Sensors and have patented some of the techniques in Malaysia. Among the significant finding throughout his work is the Ultrasonic Tomography Sensors where he had developed a real-time system for industrial process imaging that able to identify as small as 3mm gas bubble in bioreactors. Along with that, his team had established an RF Tomography imaging technique for agricultural silo imaging and currently the work is still in progress.

Topic: "Radio Frequency Tomography and Its Potential in Non-Invasive Imaging"

Abstract: Tomography is a unique approach that is used to reconstruct a cross-sectional image of an object's internal structure through sensory data obtained by the system. The tomography system does not require invasion of the object of interest, and was designed to analyse the monitored area's internal composition using penetrating waves to calculate virtual cross-sections. As a promising device-free localization technology, the concept of the Radio Tomography (RTI) technique for monitoring and locating targets is gaining popularity. This technique enables the location of targeted objects using image reconstruction based on changes in received signal strength (RSS) of the radio frequency (RF) signals between each stationary sensor node link in a wireless network area. It is understood that when an object obstructs the transmission links, the RSS quality of the associated links experiences significant loss, whereas unblocked links are unaffected. Thus, within a monitored RF sensor network, the RTI system determines the targeted object's location by reconstructing the RSS attenuation map across the sensor network.