Keynote Speakers (Alphabetize by Last Name)
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Dr. Chiang Liang Kok Newcastle Australia Institute of Higher Education, Singapore |
Chiang Liang Kok graduated with First Class Honours in Bachelor
of Electrical & Electronic Engineering from the prestigious Nanyang
Technological University (NTU) in 2010. His exceptional performance and
potential were swiftly recognized as he was awarded the highly coveted Singapore
Economic Development Board (EDB) Integrated Circuit Design PhD Scholarship to
pursue his Doctor of Philosophy (PhD) at NTU. In 2014, Chiang Liang emerged
triumphant, earning his PhD Degree in Electrical & Electronic Engineering.
Chiang Liang joined the Newcastle Australia Institute of Higher Education in
2020 as a lecturer and program coordinator for the Bachelor of Electrical and
Electronic Engineering (BEEE). His influence extends far beyond the classroom,
as evidenced by his exclusive invitation to the Channel News Asia (CNA) Money
Mind programme in May 2021, where he shared his expertise on blockchain
technology and sustainable energy solutions. In November 2021, Chiang Liang's
scholarly contributions were once again celebrated with the Best Paper award at
the 4th International Conference on Environmental Science and Applications
(ICESA 2021). As a respected leader in the engineering community, Chiang Liang
plays an active role in shaping the future of the industry, serving as chairman
for the STEM Industrial Advisory Board Committee and a committee member for the
PEI Exam Board Council. His expertise is sought after on the international
stage, with invitations as keynote speaker and plenary speaker for GMASC 2023,
MSM 2024, CCCN 2024 and ACEE 2024. He is also the local and technical co-chair
for CCCN 2024, ACEE 2024 and PCDS 2024. Furthermore, he is in the technical
program committee for ICET 2024, ITET 2024 and ICICDT 2024. He is also the
chairperson and moderator for track 1 session in WES 2023 and session chair for
AGBRP 2024. He also serves as the publicity chair for MCSoC 2024. Chiang Liang's
dedication to scholarly excellence is evident in his role as guest editor and
reviewer for esteemed journals such as MDPI Electronics Journal, IEEE Access,
and Circuits, Systems, and Signal Processing. In early 2024, Chiang Liang's
secured a S$20k external funding grant through a Memorandum of Understanding
(MoU) with Cushman & Wakefield. With over 50 publications in Q2 ranking
journals, top conferences, and several book chapters, Chiang Liang's scholarly
impact continues to reverberate across the global engineering landscape, driving
innovation and shaping the future of the industry. His dedication to mentoring
future engineers is evident in his supervision of Final Year Project (FYP)
students, guiding them in research endeavours spanning machine learning,
biomedical devices, limb lengthening implants, and power management units for
portable devices.
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Prof. Xin Luo Southwest University, China |
Xin Luo (Fellow, IEEE) received the B.S. degree in computer science from the University of Electronic Science and Technology of China, Chengdu, China, in 2005, and the Ph.D. degree in computer science from the Beihang University, Beijing, China, in 2011. He is currently a Professor of Data Science and Computational Intelligence with the College of Computer and Information Science, Southwest University, Chongqing, China. He has authored or coauthored over 400 papers (including over 170 IEEE Transactions/Journal papers) in the areas of Artificial Intelligence and Data Science.
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Assoc. Prof. Edith Cheuk Han NGAI The University of Hong Kong, Hong Kong, China |
Edith C.H. Ngai is currently an Associate Professor in the Department of Electrical and Electronic Engineering at the University of Hong Kong. Before joining HKU in 2020, she was an Associate Professor in the Department of Information Technology at Uppsala University, Sweden. Her research interests include Internet-of-Things, edge intelligence, smart cities, and smart health. She was a VINNMER Fellow (2009) awarded by the Swedish Governmental Research Funding Agency VINNOVA. Her co-authored papers received a Best Paper Award in QShine 2023 and Best Paper Runner-Up Awards in ACM/IEEE IPSN 2013 and IEEE IWQoS 2010. She was an Area Editor of IEEE Internet of Things Journal from 2020 to 2022. She is currently an Associate Editor in IEEE Transactions of Mobile Computing, IEEE Transactions of Industrial Informatics, Ad Hoc Networks, and Computer Networks. She served as a program chair in ACM womENcourage 2015 and a TPC co-chair in IEEE SmartCity 2015, IEEE ISSNIP 2015, IEEE GreenCom 2022, and IEEE/ACM IWQoS 2024. She was a project leader of the “Green IoT” in Sweden, which was named on IVA’s 100-list by the Royal Swedish Academy of Engineering Sciences in 2020. She received a Meta Policy Research Award in Asia Pacific in 2022. She was selected as one of the N˛Women Stars in Computer Networking and Communications in 2022. She is one of the HKU scholars in the top 1% worldwide by citations ranked by Clarivate Analytics in 2021-2023. She is an ACM Senior Member and an IEEE Senior Member. She is a Distinguished Lecturer in IEEE Communication Society in 2023-2024.
Invited Speakers (Alphabetize by Last Name)
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Prof. Fumihiko Ino The University of Osaka, Japan |
Fumihiko Ino received the B.E., M.E., and Ph.D. degrees in information and computer sciences from the University of Osaka, Osaka, Japan, in 1998, 2000, and 2004, respectively. He is currently a Professor in the Graduate School of Information Science and Technology at the University of Osaka. His research interests include parallel and distributed systems, software development tools, and performance evaluation.
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Prof. Shuhao Zhang Huazhong University of Science and Technology, China |
Shuhao Zhang is a professor at the School of Computer Science and Technology Huazhong University of Science and Technology. Previously, he was an assistant professor at the College of Computing and Data Science NTU. He did a postdoc with Prof.Volker Markl from 2020 to 2021 at TU Berlin. He obtained his PhD and Bachelor’s degrees from NUS and NTU, respectively. His research emphasizes the design of parallel databases and LLM inference frameworks, with a special interest in their interactions with stream processing techniques.
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