14th March each year is the date chosen to celebrate the International Day of Mathematics (IDM). The date is chosen fo r this worldwide celebration is due to many countries commemorate Pi (π) Da y on that date as they write the date as 3/14 and it is a fact that the val ue of (π) is approximately 3.14.
Th e International Day of Mathematics project is led by the International Math ematical Union with the support of numerous international and regional orga nizations from all over the world resulting in the proclamation of the date at the 40th session of UNESCO General Conference held on November 26, 2019 . Thus, the first International Day of Mathematics was launched and celebra ted worldwide on March 14, 2020.
This ye ar, the Faculty of Computer Science and Information Technology through thei r Mathematical-based undergraduate programme, the Computational Science Pro gramme will also join in the celebration by organizing some talks and forum . As this year the date falls on Sunday, the faculty will have the event on the 15th March 2021 virtually via the Webex platform at 1400 hrs (GMT + 8) . The event will see two speakers namely Associate Professor Dr Norma Alias from Universiti Teknologi Malaysia who will share a talk on “Mathematics f or Big Data” and the faculty’s own Associate Professor Dr Jane Labadin who will talk on “Mathematics for Epidemics”. The event will end with a forum d iscussing on the theme of the celebration: “Mathematics for a Better World” .
Mathematics plays an essential role in almost every expanse of our daily life: from patterns in nature to climate science, from search engines to medical imaging, from the optimization of transport networks to Artificial Intelligence, from the modelling to the co ntrol of epidemics. The importance of Mathematics is evident from the many applications that benefit from it. What better way of spreading the love of Mathematics if not to start by acknowledging its importance and celebrate the day with UNIMAS.
Join us to celebrat e IDM with UNIMAS!
Date
: 15 March 2021, Monday
Time: 2-4pm
Webe
x link: http://bit.ly/idmuni
mas2021
Event number: 159 826 1851
E
vent password: idmwebinar14
Associate Professor Dr
Jane Labadin
Faculty of Computer Science and Information Technology,<
br />Universiti Malaysia Sarawak
94300 Kota Samarahan, SarawakThis email address is being
protected from spambots. You need JavaScript enabled to view it.
Abstract
As the world is go
ing through the current pandemic, disease modelling has become an important
tool in understanding the epidemic spread patterns and evaluating decision
s of disease control. This is evident from the rapid growth of published ar
ticles particularly on modeling and estimating the trend of COVID-19 spread
. In this talk, the fundamental of mathematical modelling via compartmental
modelling will be briefly introduced. Although, epidemiology has become cr
oss disciplines with mathematics causing a sheer development of mathematica
l and computational approaches to epidemic modelling, the talk will focus o
n the conventional disease models. It is pertinent to demonstrate how mathe
matics is used in predicting and projecting the course of disease. Based on
the prediction of the disease spread, the intervention can be simulated so
that decision can be constructed. The talk will include such simulations f
or selected diseases.
About the speaker
Jane Labadin is an Associate Professor at the Faculty of Computer
Science and Information Technology as well as Senior Research Fellow at the
Institute of Social Informatics and Technological Innovation, Universiti M
alaysia Sarawak (UNIMAS). She received her Ph.D. in Computational Mathemati
cs specializing in Fluid Dynamics from the Imperial College of Science, Tec
hnology and Medicine, London, UK in 2002 and has since actively contributed
her expertise mainly in the modeling of dynamical systems. This is evident
from the research students she supervises as well as the research grants t
hat she leads. Thus far, there are seven PhD graduates and nine Master grad
uates where Assoc. Prof. Dr Jane is the main supervisor. She has completed
three MOHE research grants and five UNIMAS research grants of which she was
the principal investigator. Apart from these, she contributed as a co-rese
archer in more than ten other research grants. She is currently supervising
a team of 4 postgraduate students and leading two MOHE and one external re
search grants. Her research findings have been published and presented in m
any well-known journals and conference proceedings, locally and abroad, and
has high citation rate. She is also actively involved in exhibiting her re
search outputs and have successfully obtained few awards. Her expertise is
always sought after evident from the reviewers’ request from international
conferences and journal editors.
Talk 2: Mathematics in Big Data
Associate Profe
ssor Dr Norma Alias
Mathematical Sciences Department, Faculty of Scien
ce
Universiti Teknologi Malaysia
Skudai Johor Malaysia
This email address is being pro
tected from spambots. You need JavaScript enabled to view it.
Abstract
Big data is an inherently interdisciplinary research area, crossing academ
ic disciplines in various research groups within an applied and fundamental
mathematics. Mathematics in big data are leading a large data science init
iative, developing predictive model and making a decision. Intricate combin
ation of applied and pure mathematics, statistics and operations research,
computer science and programming are required to understand the ideas and c
oncept working with data. The role of mathematics in big data analytics wil
l create intelligent solution and provide better prediction of grand challe
nge applications. Consistent with data management, machine learning, deep l
earning and performance measurement walk through the mindset behind the mat
hematics of statistical expertise. Data modeling and data analysis challeng
es raised by researchers open big opportunities for governing novel mathema
tical models and solving a large sparse simulation on the latest computer g
eneration platform. 3 types of philosophical frameworks will be highlighted
involving competence to handle large data streams, critical big data liter
acy and digital ethics concern. As a conclusion, mathematics in big data in
tegrated mathematical modeling, machine learning algorithm, data mining, hi
gh performance computing platform, measurement indicators for better predic
tion and accurate decision making.
About th
e speaker
Norma Alias is currently the Task Force of UTM Onli
ne Teaching and Learning, Associate Professor of Mathematical Sciences Depa
rtment, and 12 years as Associate Research Fellow of Ibnu Sina Institute fo
r Scientific and Industrial Research (IIS), Universiti Teknologi Malaysia (
UTM). She was appointed as an Associate Professor and Research Fellow at Ki
ng Saud University, Saudi Arabia. She is a member of the Malaysian Mathemat
ical Sciences Society. Completed a PhD degree in Industrial Computing (Para
llel Computing) in 2004, AP Dr Norma has since specialized into diverse fie
lds including mathematical modeling, big data simulation, industrial comput
ing, scientific computing, high performance computing, shared-distributed p
arallel computing system, grid computing and software development. She has
successfully supervised 13 PhD and 32 MSc. She is currently supervising 8 P
hD students, 30 MSc with Philosophy students and 2 postdoctoral fellows. Sh
e is actively examining postgraduate students of local and international un
iversities.
AP Dr. Norma has excellent a cademic and research track record having published over 200 publications an d has held a number of editorial board memberships for 8 international and national journals. The 2016 and 2017 Venus International Women Award winner for Distinguished Woman in Science, AP Dr. Norma is still very active in r esearch innovation and publications, securing national and international gr ants and has continuously contribute in conducting creative courses, presen ting as plenary speaker and more specifically in industrial computing resea rch and innovation.