Fakulti Kejuruteraan, UMS
Encik Liau Chung Fan is a distinguished researcher at Fakulti Kejuruteraan, University Malaysia Sabah. Their research focuses on My current research interest involves the building of a bridge between the fields of Social, Cognitive and Neural Science and Electrical and Electronics Engineering., The goal of my research is to apply social, cognitive and neurological principles to understanding how to best design, implement, and evaluate an autonomous embodied agent that interacts with its environment, with humans and with each other., My current efforts toward this goal revolve around 5 main themes Theme 1: Embodied Audition How to listen to multiple target sources in a noisy and reverberant environment and recognizes voices and sounds reliably from a distance Theme 2: Interactive Inference and Expression of Mental States How to engage with humans in a natural social exchanges by inferring the emotional state of the humans and expressing nonverbal behavioral cues that humans can understand. Theme 3: Learning and Reasoning How to learn from environment, humans and from each other Theme 4: Networks How to exchange information among autonomous agents. Theme 5: Sensory Information Processing How to mimic the structure and function of a biological nervous system. , .
As a member of Fakulti Kejuruteraan, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.
Encik Liau Chung Fan holds Master of Science from Glasgow University, Scotland , among other qualifications, and has established themselves as a respected expert in their field.
Academic Department
Fakulti Kejuruteraan, UMS
Appointed Department
Fakulti Kejuruteraan, UMS
Master Of Science
Glasgow University, Scotland
1998
Bachelor Of Science In Engineering
manitoba University, Winnipeg, Canada
1992
Projects
1
Active
1
Grants
RM 20,000.00
Electrical And Electronic Engineering - Signal Analysis and Processing (Including 1D and Multidimensional)
NOTE: N/A = Data not available, 0 = Data not completed
Documents
25
H-Index
7
Citations
220
Affiliation
Universiti Malaysia Sabah
Brain connectivity modelling using exact diffusion adaptation strategy
Leader
2023 - 2026
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 1 to 1 of 1 entries
Muhammad Nur Afnan Bin Uda , Chai Chang Yii , Liau Chung Fan , Yoong Hou Pin (2024) , Comparative Analysis Of Segmented Correlation Trimmed Mean Algorithm For Locating Random And Static Partial Discharges In Power Cables