Keynote Speaker
Prof.
Rajkumar Buyya (IEEE Fellow)
The University of Melbourne, Australia & CEO,
Manjrasoft Pvt Ltd, Australia
Dr. Rajkumar Buyya is a Redmond Barry Distinguished
Professor and Director of the Quantum Cloud
Computing and Distributed Systems (qCLOUDS)
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=175,
g-index=385, i10-index=828, and 162,500+ citations).
A bibliometric study by Stanford University and
Elsevier since 2019 (for six consecutive years), Dr.
Buyya is recognized as the Highest-Cited author in
the Distributed Computing field worldwide. He
graduated 60+ PhD students who are working in
world-leading research universities and high-tech
companies such as Microsoft, Google, and IBM. 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 2019/2024 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, 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 in 1970. 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 .
Invited Speakers
Prof.
Chinthaka Premachandra
Shibaura Institute of Technology, Japan
Chinthaka Premachandra (Senior
Member, IEEE) was born in Sri Lanka. He received the
B.Sc. and M.Sc. degrees from Mie University, Tsu,
Japan, in 2006 and 2008, respectively, and the Ph.D.
degree from Nagoya University, Nagoya, Japan, in
2011. From 2012 to 2015, he was an Assistant
Professor with the Department of Electrical
Engineering, Faculty of Engineering, Tokyo
University of Science, Tokyo, Japan. From 2016 to
2017, he was an Assistant Professor with the
Department of Electronic Engineering, School of
Engineering, Shibaura Institute of Technology,
Tokyo, where he was an Associate Professor, from
2018 to 2022. In 2022, he was promoted to a
Professor with the Department of Electronic
Engineering, Graduate School of Engineering,
Shibaura Institute of Technology, where he is
currently the Manager of the Image Processing and
Robotic Laboratory. His research interests include
AI, UAV, image processing, audio processing,
intelligent transport systems (ITS), and mobile
robotics.
He is a member of IEEE, IEICE, Japan; SICE, Japan;
RSJ, Japan; and SOFT, Japan. He received the IEEE
SENSORS LETTERS Best Paper Award from the IEEE
Sensors Council in 2022 and the IEEE Japan Medal
from the IEEE Tokyo Section in 2022. He also
received the FIT Best Paper Award and the FIT Young
Researchers Award from IEICE and IPSJ, Japan, in
2009 and 2010, respectively. He has served as a
steering committee member and an editor for many
international conferences and journals. He is the
Founding Chair of the International Conference on
Image Processing and Robotics (ICIPRoB), which is
technically co-sponsored by IEEE. He is currently
serving as an Associate Editor for IEEE Robotics and
Automation Letters (R-AL) and IEICE Transactions on
Information and Systems.
Assoc.
Prof. Maizatul Akmar Ismail
University of Malaya, Malaysia
Dr. Maizatul Akmar Ismail is an Associate Professor at the Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya (UM), Malaysia. Her academic qualifications were obtained from Universiti Malaya (UM) for her Bachelor's and Ph.D. degree, and the University of Putra Malaysia for her master's. At present, she has more than twenty years of teaching experience since she started her career as a lecturer at the Universiti Malaya. Maizatul was involved in various research, leading to the publication of several academic papers in the areas of Information Systems specifically on Educational Technology, Recommender Systems, and Data Mining. She has been actively publishing more than 70 conference papers at renowned local and international conferences. A number of her works were also published in reputable international journals. Maizatul has participated in many competitions and exhibitions to promote her research works. She has been appointed as Competition Judges for several innovation competitions. To date, she has successfully supervised 10 Ph.D. and 23 Masters's students to completion. She hopes to extend her research beyond Information Systems in her quest to elevate the quality of teaching and learning.
Assoc. Prof. Shengxin Zhu
BNU-HKBU United International College, China
Dr Shengxin Zhu is an associate professor in computational mathematics in BNU-UIC joint research center form mathematics, and an associate professor in data science in BNU-HKBU United International College. He received a PhD in numerical analysis from the University of Oxford. He is a member of CCF, IEEE, AAAI, CSIAM and a reviewer for MathReview. He focuses on application driven or industrial-driven research and works as a consultant or partner for industry. His research interest can be summarized as algebraic approximation and acceleration for applications, such as high performance numerical algebra, approximation and learning theory; fine scale data engineering and lightweight machine learning algorithms. As for applications, he recently works on health informatics with intelligent recommendation system and LLM. He carried out interdisciplinary research between computer science, applied and computational mathematics, graph matching, intelligent recommendation systems and foundation of data science and AI. He has published papers in CVPR, AAAI and NeurIPS workshops and well-known journals on applied mathematics.