Past Keynotes

****PAST 2016 KEYNOTE****

Keynote Address 1

Assoc. Prof Dr. Angela Amphawan, PhD (Oxford)
Fulbright Fellow, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Head of Integrated Optics Group, School of Computing, Universiti Utara Malaysia, Sintok, Kedah, Malaysia

Keynote Title:  Mode Division Multiplexing for Optical and Radio-Optical Communications

Abstract:  The surge of data traffic due to the proliferation of multimedia data and cloud computing applications has fuelled innovative approaches to increase the data capacity of optical and radio networks.  Mode division multiplexing (MDM) is an emerging technology which leverages on the nature of modes in multimode fiber.  In MDM, independent data streams are transmitted using modes of a multimode fiber.  MDM offers another dimension for multiplexing several data channels through a single optical fiber in addition to wavelength, intensity, phase, polarization and time. The excited modes for each channel are induced by the incident field at the multimode fiber and then demultiplexed by field matching at the receiver, thus optimizing the channel impulse response.  The holographic generation and demultiplexing of various mode profiles, its applications and performance will be discussed.

Short Bio:

Assoc. Prof. Dr. Angela Amphawan received her PhD in optical communications engineering from University of Oxford, United Kingdom. She is currently Head of Integrated Optics Group at School of Computing, Universiti Utara Malaysia.  She is also a Fulbright Research Fellow at Massachusetts Institute of Technology (MIT) and a Research Affiliate for the Asia Pacific International Telecommunications Union (ITU).   Her research has been funded by the Fulbright Foundation, Telekom Malaysia, German Academic Exchange and the Malaysian Ministry of Higher Education.  She has won the International Academic Award by the Deputy Prime Minister for her outstanding contribution.   She serves on the IEEE Nanotechnology Council, IEEE Sensors Council, Scientific Committee and Editorial Review Board for the World Academy of Science, Engineering and Technology.   She is also on the Editorial Board of International Journal of Electrical and Computer Engineering, Editorial Board of International Journal of Informatics and Communication Technology as well as several conference committees.  In addition, she is a reviewer for leading optical journals such as Optics Express, Optics Letters, Journal of Lightwave Technology and IEEE Photonics Journal.  She has over 90 referred publications and a patent.

Keynote Address 2

Dr. Izzatdin Abdul Aziz
Universiti Teknologi Petronas




Hydrocarbon exploration operation is imperative to discover new oil and gas reservoirs. However, the conventional methods used by oil and gas companies to process data takes too long to be completed and are exceptionally expensive. The volume of data generated from the discovery operations are extremely big. A small scale discovery operations can produce up to 1 PetaBytes of data in size. The data processing stage itself, would take up to 6 months to be completed, and approximately a year to extract the hydrocarbon at site. The current cost of processing oil and gas data charged by private processing centres are approximately $2000 per km2 of an area surveyed. A representative scale data acquired during a 1200km2 hydrocarbon exploration operation costs at approximately USD 10 Million, depending on the complexity and granularity of the data. In response to the challenges outlined, a comprehensive workflow has been proposed and implemented. The workflow details the logical design of the exploration data processing that exploits clouds as a low cost data processing centre, and the ability for geophysicists to provide fast decisions on how to progress with the exploration operation at remote locations.


Izzatdin is a researcher at the High Performance Computing Centre (HPCC) in Universiti Teknologi PETRONAS (UTP), where he focuses in solving complex upstream Oil and Gas (O&G) industry problems from the view point of computer sciences. Izzatdin also serves as the deputy head of the Computer and Information Sciences Department in UTP.

He obtained his Ph.D in Information Technology from Deakin University, Australia working in the domain of hydrocarbon exploration. Prior to his Ph.D, Izzatdin earned his Master’s degree in Information Technology specializing in Computer Networks from the University Of Sydney, Australia.

Izzatdin has secured and delivered numerous computing-related O&G projects mainly relating to seismic data processing and implementation of workflows for processing hydrocarbon exploration dataset on cloud based systems. His research is mainly funded by the Petroleum Research Fund, PETRONAS and The Malaysian Ministry of Higher Education.

He is working closely with O&G companies in delivering solutions for complex problems such as Offshore O&G pipeline corrosion rate prediction, O&G pipeline corrosion detection, securing data on clouds and designing and implementing Metocean prediction system. Additionally, he is also working on Big Data transmission, security and optimization problems on High Performance Computing Clusters.

He is currently the editor-in-chief for the Jurnal Teknologi Advances in Big Data Analytics on High Performance Computers and Scalable Systems, editorial board member of Journal of Advance Computational Intelligence with Big Data, member of the International Association of Engineers and the Society of Digital Information and Wireless Communication.