Prof. Mohammad Sukri Bin Mustapa

Universiti Tun Hussein Onn Malaysia, Malaysia

Speech Title: Metal recycling: potential of recycled aluminium alloy chips in solid-state recycling

Abstract: The global engineering activities nowadays are focusing on green and eco-friendly innovations. Solid-state recycling, which involves direct recycling of metal scrap into bulk material using severe plastic deformation has emerged as a potential alternative to the conventional remelting and recycling techniques. Hot extrusion process has been identified as a novel direct recycling technique which could reduce the energy consumption but still maintaining the excellent material performance. A potential study of operating temperature and holding time toward the mechanical and surface integrity of aluminium alloy AA6061 chips prepared by solid-state recycling using hot extrusion process is practically investigated. The optimum sample of the mechanical treated properties is selected to investigate the fatigue life performance. The research successful demonstrated that the fatigue life endurance and mechanical properties of directly recycled aluminium alloy AA6061 chips have been  improved.


Prof. Changle Li

Xidian University, China

Speech Title: IoT for Smart Roads: where we are and where we' re going

Abstract: We are entering an era that will be unlike any other in the history of transportation networks, where autonomous driving will play a major role. To realize efficient, safe and energy-saving driving of autonomous vehicles, road intelligence is an innovative direction-- taking advantage of the Internet of things for smart roads. However, in the construction of smart roads, what can we do? What do we want to do? And what are our goals? Further, how to obtain accurate and reliable localization of autonomous vehicles in complex environment by means of smart roads? How to detect pedestrian and other obstacles quickly to escort for autonomous vehicles? And how to realize real-time and high-precision road environment perception including traffic and road condition monitoring, traffic volume and speed measurement and road health monitoring? We will discuss the current progress, challenges, and prospects. Meanwhile, we will introduce our recent work to you here - a smart town established in the southern suburb of Xi’an and a demo of smart road for testing intelligent connected vehicles.


Assoc. Prof. Wee SER

Nanyang Technological University, Singapore

Speech Title:  An Engineering Approach to the Remote Monitoring of Respiratory Diseases

Abstract: Many respiratory disorders can be better managed if early intervention is possible. Some examples include asthma, sleep apnea, etc. A common diagnostic method used by the physicians is auscultation, where a stethoscope is used to listen to the lung sound to detect possible presence of respiratory disorders. The problem with this approach is that, the history of occurrence is important and yet patients’ descriptions are often inconsistent and unreliable. Furthermore, auscultation needs to be performed by qualified professionals and hence cannot be used as a regular home based monitoring method. The emerging trend is to monitor respiratory disorders in a home setting through the use of a wearable or handheld system. This talk will focus on presenting the findings generated from joint research undertaken by an engineering team from the Nanyang Technological University in Singapore and clinicians in some hospitals in Singapore. The talk will focus on the engineering design considerations and the results obtained.


Assoc. Prof. Sathish Kumar Selvaperumal

Asia Pacific University of Technology and Innovation, Malaysia

Speech Title: Recent Research Trend & Technology in Mechatronics Engineering

Abstract: This key note speech will highlight the recent research trends and technology used in mechatronics engineering. This keynote will focus on the research work to be focused by the researchers from 2020 to 2030 and the researches being carried out currently, along with the technologies applied such as IoT, Big data, Machine vision/learning, and so on, for the automation industry, and the outcomes achieved. The limitations of such applications and the future work to be carried out are highlighted.  

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