Tutorial

DESIGNATION: Snr Staff Engineer (RF)

COMPANY: TE Connectivity

SPEAKER’S BACKGROUND:
Dr. Ng Kok Jiunn was born in Teluk Intan, Perak, Malaysia in 1977. He received a B.Eng., M.S. and Ph.D. in electrical, electronic and system engineering from the National University of Malaysia, in 2000, 2004 and 2021 respectively. From 2004 to 2006, he was a Research Engineer with Anscom Sdn. Bhd. He was involved in the concealment solution and the pioneer research team for the Basestation Antenna Project. He was RF Engineer with Laird Technology (M) Sdn. Bhd. and Senior RF engineer with Amphenol Antenna Solution (M) Sdn. Bhd in the years 2006 and 2007 respectively. He designed various antennas for wireless routers and embedded antennas for portable devices such as laptops, handphones, dongles, etc. Since 2008, he has been with Laird Technologies(M) Sdn. Bhd. He led the antenna design team until 2013 and as Snr. Staff Engineer for Advance Technology Group in Antenna Division until 2021. Currently, he is in TE Connectivity as Principal Development Engineer. He holds more than 10 patents in various antenna designs. He has been involved in antenna projects including embedded antennas, MIMO antenna, portable radio antenna, RFID, LTE Distributed Antenna System platforms, vehicular antenna, M2M, DSRC, Wi-Fi infrastructure antenna etc. His research interests include embedded antenna, portable land mobile antenna, MIMO antenna, DAS antenna, array antenna, and Low PIM antenna. He is a member of IEEE.

ABSTRACT:
An antenna is the key element of wireless devices and technology. With the advancement of next-generation of wireless communication applications, antenna design concepts and techniques are becoming very important. Therefore, understanding the fundamental of antenna parameters and performance is increasingly critical to design a successful industrial antenna solution. This tutorial provides an introduction to antennas and their applications. It will present the technology shift that influences challenging requirements of antenna design in recent years. The tutorial will include an overview of antenna design challenges and design considerations for different types of industrial antenna.

DESIGNATION: Associate Professor

COMPANY: Universiti Kebangsaan Malaysia

SPEAKER’S BACKGROUND:
Kok Beng, Gan is an Associate Professor in the Department of Electrical, Electronic & Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia. He received his Bachelor of Science in Material Physics with Honours from Universiti Teknologi Malaysia in 2001. He was conferred a PhD in Electrical, Electronic & System Engineering from Universiti Kebangsaan Malaysia in 2009. He was an engineer in the field of electronic manufacturing services and original design manufacturing before venturing into academic research in 2005. He specializes in embedded systems and artificial intelligence in healthcare. His current research interests are biomedical optics & optical instrumentation, embedded system & signal processing for medical applications and biomechanics & human motion analysis.

ABSTRACT:
Today's astrophysicists and space scientists are exploring data, storing, and maintaining data, conducting scientific research, and publishing their research findings. Methods for linking data science with space science can be developed using machine learning, neural network topologies, and data science. The main objective of this tutorial is to give an understanding of space science using Google Collaboration. Participants in this workshop will study about Machine Learning applications in space science and technology.

a) Introduction to Machine Learning
The participant will be given a general overview of Machine Learning such as supervised vs unsupervised learning and the application of each technique. A set of approaches for teaching machines to recognise patterns and extract rules from data to identify or classify items, detect trends, and make predictions.

b) Application of Machine Learning application in space technology and space science
Participants will learn how to setup the environment using Google Collab, installed machine learning framework and create first model that will be used in space technology and space science.

In summary, this tutorial gathers a common attraction: Space, Machine Learning and Python.