The RISKSmart Learning System Training for Kaneka’s RBI Team was held on May 16, 2024, at Kaneka Training Centre, Gebeng. The trainers are the RBI research team from the Centre for Mathematical Sciences, Assoc. Prof. Dr. Norhayati Binti Rosli, Mr. Khairul Hafiz Bin Khairuldin, Assoc. Prof. Dr. Noryanti Binti Muhammad, and Dr. Norhafizah Md Sarif. This training aims to equip Kaneka's RBI team with the skills to develop a scheme of inspection and perform risk analysis using the likelihood (probability) of failure due to flaws, damage, deterioration, or degradation, and the consequences of failure.

The winning project, titled “Dynamic Learning System for BEV Charging Demand Prediction,” addresses a pressing issue in the transportation sector, which significantly impacts global emissions. The transition to battery electric vehicles (BEVs) is crucial for reducing emissions but poses challenges to national grids and electricity generation systems. This concern spurred Dr. Roslinazairimah and her team to create a software capable of accurately predicting electricity demand from the private BEV charging point. 

A discussion on the “Memorandum of Agreement (MoA) for Work Based Learning (WBL) Education” between the Centre for Mathematical Sciences (PSM), Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) and LEAD for the Bachelor of Applied Science in Data Analytics with Honours (2u2i Mode) has taken place virtually on 16 April 2024.