SYNOPSIS

Cancer is one of the major diseases that has been emerged asthe second highest cause of death among Malaysians in 2019.
The choice of cancer treatment depends on the tumor location,the disease stage and also the patient’s health condition.Chemotherapy works like a two-edged weapon which itexterminates the cancerous cells and at the same time damagesthe normal cell.

Thus, chemotherapy treatment planning was studied as anoptimization problem by using a mathematical model as thismethod provides a low cost plan to evaluate the treatmentstrategies more effectively. The performance of optimal controlmodel relay on the control variable such as chemotherapeuticdrug
and predetermined objective such as minimize the tumorvolume and the drug toxic effect.


BIODATA OF SPEAKER

Ir. Associate Prof. Dr. Jeevan A/L Kanesan

JEEVAN KANESAN received the degree in electrical engineering from UTM, in 1999, and the M.Sc. and Ph.D. degrees from USM, Penang, in 2002 and 2006, respectively. He joined the Department of Electrical Engineering, Universiti Malaya, in 2008. He worked as an Engineer at Carsem Semiconductor, Ipoh, before resuming his master’s degree. After obtaining his Ph.D. degree, he worked as a Research and Development Engineer at Intel, Penang, for two and half years.

Currently, he has published more than 70 peer-reviewed journals. His research interests include optimization and machine learning.