Short course on Matrix Computation Fundamental Theory | 19-20 September 2013



Centre for Intelligent Signal and Imaging Research (CISIR) of Universiti Teknologi Petronas is pleased to announce the Short Course on “Matrix Computation: Fundamental Theory and its Applications in Signal Processing” to be held 29 June, 2013 at UTM Razak School of Engineering and Advance Technology, Jalan Semarak, 54100, Kuala Lumpur. This short course is co-organised by IEEE Signal Processing Society Malaysia Chapter. This short course is targeted to Researchers and postgraduate students in computing, physical science and engineering, Industrial researcher.


Course Overview:

The course will cover introductory notes on fundamental and theory of matrix applications. The course will cover the basic of matrix computation techniques and applications to signal processing applications using computing techniques. Interesting topics will be covered: Gauss-Seidal, Chelosky, LU Factorization and QR factorization. The matrix computation for Least Square estimates and its adaptation to system identification and it various models structure will also be covered. The course will be supplement with introduction to Scilab functional programming with interesting example and exercises.

Course Objectives:


  • To introduce fundamentals and theory to matrix computing.
  • To describe various form of Matrix computation techniques for different type of matrix
  • To apply matrix computation on linear least square systems using system identifications.


Target Audience


Researchers and postgraduate students in computing, physical science and engineering, Industrial researcher


Program Schedule.

08:00-08:45 Registration and Opening Remarks.
08:45-10:30 Matrix Basics and Solutions to Linear Equations
10:30-10:50 Coffee Break
10:50-12:45 General Matrix  and Special Matrix Solutions
12:45-14:00 Lunch
14:00-15:40 Dimension and Orthogonality
15:40-14:00 Tea Break
14:00-17:30 Application of Matrix Computation to System Identification.


Speaker’s Profile:

Associate Professor Dr Vijanth S Asirvadam

Dr. Vijanth S. Asirvadam is from an old mining city of Malaysia called  Ipoh. He studied at University of Putra, Malaysia in Bachelor Science(Hon)  majoring  in  Statistics  and  graduated  in  April  1997  before  leaving  to Queen’s  University  Belfast  to  do  his  Masters  where  he  received  his  Master’s Science  in Engineering Computation with a Distinction.  He later joined the Intelligent Systems and Control Research Group at Queen’s University Belfast in November 1999 where he completed his Doctorate (Ph.D.) researching into Online and Constructive Neural Learning methods. He took previous employments as a System Engineer and later as a Lecturer at the Multimedia University Malaysia. He was also a Senior Lecturer at Faculty of Engineering and Computer Technology, AIMST University. Since November 2006, he served as a Senior Lecturer and later as Associate Professor at the department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS.  His research interest in theory includes linear and nonlinear system identification and model validation. On application side he research into computing techniques in signal, image and video processing. Dr Vijanth is member of Institute of Electrical and Electronics Engineering (IEEE) and also a member of Institute of Engineering Technology (IET) . He has over 100 publications in proceedings and journals in the field of computational intelligence, control, signal and image processing. He is a member of IEEE for signal processing and control systems chapters. He is currently serving as secretary of IEEE signal processing for Malaysia Chapter.



Course dates: 19-20 September, 2013

Registration Deadline date: 15 September, 2013



Centre for Intelligent Signal and Imaging Research (CISIR)

Department of Electrical and Electronic Engineering

Universiti Teknologi Petronas

Bandar Seri Iskandar, Tronoh,

31750, Perak, Malaysia



Participants are required to bring their own Laptop. However, PC rental with full Matlab installation is available at a cost of RM 65/day.

IEEE Student Member RM 850
Full IEEE SPsoc Member\Student Non-Member RM 900
Full IEEE Member RM 950
Non-Member RM 1,000


– Registration should be completed 4 days before course commencement.

– Participants are required to bring their own Laptop. However, PC rental with full Matlab installation is available at a cost of RM 65/day.

– First-come, first-served policy is implemented due to limited seats

– Pay orders and Guarantee letters issued by company/university are not acceptable for registration.

– Confirmation of registration is upon receiving scan copy of Registration Form and Cheque/Demand draft/ online transaction proof to one of below e‐mails:

Please save registration form as Image


For the further inquiries and registration for the short course on Imaging for Biomedical Applications, kindly contact:

Mr. Dileep Kumar

Research Scientist

Centre for Intelligent Signal and Imaging Research

Universiti Teknologi Petronas, Malaysia

Email: or

H/P No.: 0195591650

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