Encik Liau Chung Fan
Encik Liau Chung Fan
Fakulti Kejuruteraan · Fakulti Kejuruteraan, UMS
cfliau@ums.edu.my
Summary

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.

Education
Master Of Science
Bachelor Of Science In Engineering
Stats
Publications:
40
Projects:
1
Grants:
RM 20,000.00
Scopus Metrics
Scopus Author ID:
36781247500
H-Index:
7
Documents:
25
Citations:
220
Research Interests
ELECTRICAL AND ELECTRONIC ENGINEERING - Signal Analysis and Processing (Including 1D and Multidimensional)
Latest Grants
Brain Connectivity Modelling Using Exact Diffusion Adaptation Strategy
Latest Publications
Impact Of Image Quality On Yolov7-based Face Detection Accuracy
Automating Galaxy Image Classification In Galaxy Zoo: A Comparative Study Of Deep Learning Models
Improve Accuracy Of Vgg-16 Neural Network Based Face Detection With Data Augmentation
Comparative Analysis Of Segmented Correlation Trimmed Mean Algorithm For Locating Random And Static Partial Discharges In Power Cables
Automated Sleep Staging Classification System Based On Convolutional Neural Network Using Polysomnography Signals
Previous Appointments
Administrative Positions