Keynote Speakers
Prof. Rajkumar Buyya
IEEE Fellow
Redmond Barry Distinguished Professor
Director of the Cloud Computing and
Distributed Systems (CLOUDS) Laboratory
University of Melbourne, Australia
Biography:
Dr. Rajkumar Buyya is a Redmond Barry
Distinguished Professor and Director of the
Cloud Computing and Distributed Systems
(CLOUDS) Laboratory at the University of
Melbourne, Australia. He is also serving as
the founding CEO of Manjrasoft, a spin-off
company of the University, commercializing
its innovations in Cloud Computing. He has
authored over 850 publications and seven
textbooks including "Mastering Cloud
Computing" published by McGraw Hill, China
Machine Press, and Morgan Kaufmann for
Indian, Chinese and international markets
respectively. Dr. Buyya is one of the highly
cited authors in computer science and
software engineering worldwide (h-index=168
g-index=369, and 150,600+ citations). He has
been recognised as IEEE Fellow, a "Web of
Science Highly Cited Researcher" for seven
times since 2016, the "Best of the World"
twice for research fields (in Computing
Systems in 2019 and Software Systems in
2021/2022/2023) as well as "Lifetime
Achiever" and "Superstar of Research" in
"Engineering and Computer Science"
discipline twice (2019 and 2021) by the
Australian Research Review.
Software
technologies for Grid, Cloud, Fog, and
Quantum computing developed under Dr.
Buyya's leadership have gained rapid
acceptance and are in use at several
academic institutions and commercial
enterprises in 50+ countries around the
world. Manjrasoft's Aneka Cloud technology
developed under his leadership has received
"Frost New Product Innovation Award". He
served as founding Editor-in-Chief of the
IEEE Transactions on Cloud Computing. He is
currently serving as Editor-in-Chief of
Software: Practice and Experience, a
long-standing journal in the field
established 54+ years ago. He has presented
over 750 invited talks (keynotes, tutorials,
and seminars) on his vision on IT Futures,
Advanced Computing technologies, and
Spiritual Science at international
conferences and institutions in Asia,
Australia, Europe, North America, and South
America. He has recently been recognized as
a Fellow of the Academy of Europe. For
further information on Dr.Buyya, please
visit his cyberhome: www.buyya.com
Prof. Jiankun Hu
IEEE Fellow
Senior Area Editor
of IEEE Transactions on Information
Forensics and Security
University of New South Wales,
Australia
Speech Title: Privacy-Preserving
Biometric Authentication
Abstract: It is well-known
that biometrics can provide an
authentication of genuine users. Significant
advances have been made in the field with
many successful applications, e.g., border
control and digital access control.
Biometrics involves a person’s privacy data
which is regulated by laws in many
countries. There is a trend/need to develop
privacy-preserving biometrics authentication
technologies. In this talk, I’ll introduce
some major research works in this field. It
will cover the popular infinite-to-one
mapping-based cancelable biometrics template
design, Attack via Record Multiplicity
(ARM), ARM attack resilient cancelable
biometrics designs, and hill-climbing
attacks on biometrics templates. We will
introduce our latest projects/works on ARM
and hill-climbing resilient cancelable deep
learning models.
Biography:
Jiankun Hu is a professor with the School of
Systems and Computing, University of New
South Wales, Canberra, Australia. He has
received eleven Australian Research Council
(ARC) Grants and has served at the Panel on
Mathematics, Information, and Computing
Sciences, Australian Research Council ERA -
The Excellence in Research for Australia
Evaluation Committee in 2012. His research
interests are in the field of cyber security
covering intrusion detection, sensor key
management, and biometrics authentication.
His main research interest is in the field
of cyber security, including biometrics
security, where he has publications at top
venues including the IEEE TRANSACTIONS ON
PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
IEEE TRANSACTIONS ON INFORMATION FORENSICS
AND SECURITY, and PATTERN RECOGNITION. He is
a Senior Area Editor of the IEEE
TRANSACTIONS ON INFORMATION FORENSICS AND
SECURITY. He has a Google h-index of 72.
Prof. Jiong Jin
World
Top 2% Scientists
for Citation
Impact since 2019
of Stanford University’s
List
Associate Dean Research (acting) in the
School of Science, Computing and Engineering
Technologies
Swinburne University of Technology,
Australia
Speech Title: Real-time Internet of
Things: Architecture, Algorithms and
Applications
Abstract: The Internet of
Things (IoT) is an emerging revolution,
which targets anytime connectivity for
anything to create smart environments in
which there is fast-paced interaction
between systems (networked sensors,
heterogeneous devices, actuators, robots)
and between such systems and people. To
further enable real-time services in IoT, a
new multi-tier computing paradigm is
recently introduced and explored in both
academic and industrial fields. Its basic
concept is to construct local computing
nodes (aka edge/fog nodes), which moves
computation, control, networking, storage
and security functionalities from
traditional remote cloud right to a place
closer to the end-users in order to
optimally support time-critical
applications. Meanwhile, it also empowers a
new set of industrial applications, such as
networked robotics and cloud-fog automation,
to achieve real-time operations. In this
talk, a complete overview and recent
developments of real-time IoT will be
presented with its applications in smart
manufacturing, smart transportation and
smart cities.
Biography:
Jiong Jin is currently a full Professor and
Associate Dean Research (acting) in the
School of Science, Computing and Engineering
Technologies, Swinburne University of
Technology. He received the B.E. degree with
First Class Honours in Computer Engineering
from Nanyang Technological University,
Singapore, in 2006, and the Ph.D. degree in
Electrical and Electronic Engineering from
the University of Melbourne, Australia, in
2011. His research interests include network
design and optimization, edge computing and
intelligence, robotics and automation, and
cyber-physical systems and Internet of
Things as well as their applications in
smart manufacturing, smart transportation
and smart cities. He is recognized as an
Honourable Mention in the AI 2000 Most
Influential Scholars List in IoT (2021 and
2022) and included in Stanford University’s
list of the world Top 2% scientists for
citation impact since 2019. He is currently
an Associate Editor of IEEE Transactions on
Industrial Informatics.
Invited Speakers
Prof. Rubita Sudirman
Universiti Teknologi Malaysia, Malaysia
Biography: Professor Rubita Sudirman received her Bachelor’s and Master’s degrees in Electrical Engineering from the University of Tulsa, USA, and obtained her Ph.D. in Electrical Engineering from Universiti Teknologi Malaysia (UTM). Currently, she is a professor and certified professional engineer serving at the Faculty of Electrical Engineering, UTM. She has published more than 150 indexed papers, including journals and conference papers. Her current research interests include applications of soft computing in biomedical engineering, particularly in speech processing, EEG & EOG signal analysis, medical electronics, and rehabilitation engineering.
Prof. Kazuyuki Shimizu
Meiji University, Japan
Speech Title: Beating Bitcoin
Abstract: Using
Bitcoin, often referred to as "digital gold
(Proof of Work, POW)," as a benchmark, this
study investigates the development and
promotion of ecosystems driven by "digital
oil (Proof of Stake, POS)." The findings can
be summarized in three key points: (1)
Revolution in Decentralized Governance,
While current systems are dominated by
centralized control, often referred to as
the "Magnificent Seven," the Bitcoin network
achieves decentralized data management and
governance through consensus mechanisms like
PoW and PoS. This shift enables a democratic
revolution where ownership lies with the
users. (2) Universal Law of Success, The
Bitcoin network exemplifies the mathematical
"power law," representing universal
principles of success. It quantifies
economic growth dynamics exponentially,
offering a hybrid perspective that combines
traditional capital market investment
strategies with approaches tailored to
emerging (startup) markets. This framework
facilitates a paradigm shift in the economy
by enhancing productivity. (3) Optimizing
Resource Allocation, The current global
economy relies on single value benchmarks,
such as the US dollar, which leads to
inefficiencies and resource misallocations.
Adopting new benchmarks like Bitcoin,
combined with alternative indicators
(including altcoins), could enable better
resource allocation and measurement. This
process, driven by "tokenized time" as a new
productivity metric, holds the potential to
improve resource management and create a
more efficient economic framework.
Biography: Prof. Dr.
Kazuyuki Shimizu is a Professor at the
Faculty of Business Administration, Meiji
University, Japan. His research focuses on
corporate governance, stakeholder theory,
and digital transformation, with a
particular interest in blockchain
technologies and ESG investment strategies.
He has been a visiting scholar at the
University of Limerick, Ireland, and
regularly presents his work at international
conferences, including ETHICOMP and other
conferences.
Prof. Shimizu's recent
research explores the impact of digital
innovation on corporate governance and
sustainability, and he has published
extensively in both Japanese and
international academic journals. His
practical experience includes working in
institutional investor relations at German
investment banking and Barclays Capital in
Tokyo, providing him with a unique blend of
academic and industry insights.
Assoc. Prof.
Wasi Haider Butt
National University of Sciences and
Technology (NUST), Pakistan
Speech Title: Pair Elicitation, A
Novel Software Requirements Elicitation
Technique, Inspired by Pair Programming
Biography: Dr. Wasi
Haider Butt is a tenured Associate Professor
in the Department of Computer and Software
Engineering at the College of Electrical and
Mechanical Engineering (CEME), National
University of Sciences and Technology
(NUST), Pakistan.
He earned his Ph.D. in
Computer Software Engineering from NUST and
leads the Automated Software Engineering
Research Group at the university. Dr. Butt's
research interests encompass various facets
of computer science and software
engineering, with a particular focus on
automated software engineering.
Dr.
Butt's contributions to the field are
recognized through his publications and
research work, which are accessible via his
Google Scholar profile.
His dedication to
advancing software engineering education and
research continues to impact both his
students and the broader academic community.
Keynote Speakers of ICINT2024
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|
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Prof. Koichi Asatani |
Prof. Wei Xiang |
Prof. Kanta Matsuura |
