4th International Conference on Smart Sensors and Application

Digitalization for Societal Well-Being
26-28th July 2022
TAMU Hotel & Suites, Kuala Lumpur

Online Tutorial


Route to Professional Engineer – The Academician Way

Assoc. Prof. Ts. Ir. Dr. Syuhaida Ismail

Senior Lecturer

Universiti Teknologi Malaysia

The speaker will be sharing the requirements and procedures of the Chartered Engineer (CEng) application via the Institution of Engineering and Technology (IET), as well as her real experience in obtaining the status working as an academic.


Assoc. Prof. Ts. Ir. Dr. Syuhaida Ismail is currently serving the Department of Civil Engineering for the Razak Faculty of Technology and Informatics, UTM KL. She has been active with various engineering associations locally and internationally, and hold the position of the Honorary Secretary of the IET Malaysia Local Network (LN) 2021-2023. She is also the recipient of the Young Engineer Award 2019 by the IET Malaysia LN.

Registration Fee:

RM 50 (for non-participant)



Ts. Nurul Amirah Mashudi

Senior IT Executive & Machine Learning Researcher

The University of Nottingham Malaysia & Universiti Teknologi Malaysia


This introductory course will help make your machine learning journey easy and pleasant. You will learn using the powerful Weka open-source machine learning software developed by the University of Waikato in New Zealand.

You will learn complex algorithm behaviors in a straightforward and uncomplicated manner by exploiting Weka’s advanced facilities to conduct machine learning experiments and to understand algorithms, classifiers, and functions such as Naive Bayes, Neural Network, J48, OneR, ZeroR, KNN, linear regression, and SMO.

What you’ll learn:

  1. Download and Install Weka
  2. Practical use of Machine Learning
  • Data sources and file formats
  1. Data Pre-processing, Classification, Regression, Clustering, Association Rules & Visualization
  2. Experimenting & Comparing Algorithms


A computer, internet connection, and basic mathematics.


Installation of Weka 3.8 (https://waikato.github.io/weka-wiki/downloading_weka/)

Registration Fee:

RM 50 (for non-participant)