Download Redesign Math Modelling - Academy of Sciences Malaysia

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Nonlinear dimensionality reduction wikipedia , lookup

Transcript
International Workshop on
Mathematical
Modelling for
Applications
In the last decade, since the beginning of the Millennium
the world has seen rapid developments in a wide swath of
disciplines. The elucidation of the human genome, the
realisation of nanotechnology, the rise of pervasive
computation are amongst some of these. At the same time,
the world has witnessed the power of primordial forces of
Nature such as tsunami's,hurricanes and floods. The need to
understand and predict phenomena, events and the behavior of
systems has been one of continuous endeavor by scientists.
In pursuance of this need, every effort must be taken to bring
the problem of understanding of processes and events to the
forefront. Mathematical modeling is a powerful approach to the
understanding of the mechanism of complicated events in
nature, the brain, systems and human society. In this context,
the organisation of an international workshop on mathematical
modeling in our region would be relevant.
Academy of Sciences Malaysia in collaboration with
MIMOS is pleased to invite participants to join any
of the WorkshopTracks that has been planned
to help in this initiative.
November 2014
Kuala Lumpur
Supported by:
20th Floor, West Wing MATRADE TowerJalan Khidmat Usaha off Jalan Duta, 50480 Kuala Lumpur
t|+603-6203 0633 f|+603-6203 0634
w| www.akademisains.gov.my
Organised by:
In Collaboration with:
Mathematical Modelling for Applications | Sep2014
11 - 13 November 2014
track A
Bioinformatics Models and Methods for
Genomic Medicine and Drug Design
Prof Shoba (Mcquarie University, Australia)
The track will present current methods and algorithms used
globally to understand biological processes and systems, with
a focus on new developments in genome bioinformatics and
pharmaceutical target identification. Topics that will be covered
include: sequence analysis, biostatistics, scientific data
management and data mining, machine learning, pattern
recognition,computational genomics and structure-based
drug design.
Photo: New York Genome Centre
http://www.nygenome.org/genomics/
track B
Oil Palm Ecosystem
Dr Subana Shanmuganathan (AUT, New Zealand)
Dr. Neil Huth (CSIRO, Australia)
This track will explore the modelling of climate change
effects (extreme weather) on Malaysia’s oil palm yield.
Effects of pestsand diseases on palm oil yield. Water,
nutrients and plant physiological aspects of oil palm.
Soil types and nutrient/ water/dispersal. Sustainable
oil palm growth and microclimate environment.
25 - 27 November 2014
track C
Statistical Inference on Big Data
for Decision Makers
Prof Mahendiran (Monash University, Malaysia)
Participants will be exposed to techniques of decision-making
using big data trends and predictions. Topics that will be covered
include: concept of big data, using predictive analytics for big data
optimisation; regression and predictive models, data mining
methods and the applications of predictive analytics for the public
and private sector. The track will explore introductory knowledge
from data set patterns. Importance of statistics, overview of data
structure will be covered. This track will discuss prescriptive
analytics for strategic decision-making. There will also be case
studies on evidence-based strategic decision-making and
policy formulation.
track D
Smart Grid Power System
Dr Glenn Platt (CSIRO, Australia)
This track will examine the mathematical modelling of problems
related to Power Systems. Topics that will be covered include:
Dynamic Modeling and simulation of power system with renewable
energy, application of artificial intelligence in Smart Grid Power
System – control and optimisation, Demand response/ Customer
analytics. It will also include case studies on asset-tracking and
health prediction for heating, as well as ventilation and
air-conditioning (HVAC) systems; where machine-learning and
other artificial techniques used to identify and diagnose faults
will be demonstrated.
To register or for more details, please email
[email protected] or [email protected]