Invited Speakers
Invited Speakers
Assoc. Prof. Rubing Huang (IEEE/CCF Senior Member)
Macau University of Science and Technology, China
Rubing received his
M.Eng and Ph.D. degree
in Computer Science and
Technology from Huazhong
University of Science
and Technology. After
that, Rubing spent one
year at Monash
University as an
academic visitor advised
by Dr. Xin Xia and Dr.
Robert G. Merkel and
three months at
Swinburne University of
Technology as an
academic visitor advised
by Prof. T. Y. Chen.
Currently, he is an
associate professor in
the School of Computer
Science and Engineering,
Faculty of Innovation
Engineering, Macau
University of Science
and Technology (MUST).
Before joining MUST, he
was a faculty member at
Jiangsu University,
China.
He has more than 80
publications in journals
and proceedings,
including IEEE
Transactions on Software
Engineering (IEEE TSE),
IEEE Transactions on
Reliability (IEEE TRel),
Journal of Systems and
Software (JSS),
Information and Software
Technology (IST),
Software: Practice and
Experience (SPE),
Science of Computer
Programming (SCP), IET
Software, International
Journal of Software
Engineering and
Knowledge Engineering
(IJSEKE), IEEE
Transactions on Emerging
Topics in Computational
Intelligence (IEEE
TETCI), Expert Systems
with Applications
(ESWA), The Computer
Journal, Tsinghua
Science and Technology
(TST), ICSE, ISSRE,
ICST, and COMPSAC. He
has served as the
program committee member
of ICST2020 (poster
track), APSEC2023-2024,
and AI Testing
2019-2021. He has served
as the reviewer for many
journals such as IEEE
TSE, ACM TOSEM, IEEE TC,
IEEE TIFS, IEEE TAI,
IEEE TBD, ACM TWEB, IEEE
TRel, IEEE TFS, IEEE
TNSE, IEEE T-ASE, IEEE
TCAD, ACM CSUR, STVR,
JSS, IST, SPE, JSEP,
ASEJ, SCP, EAAI, FCS,
IEEE Software, etc. He
is a senior member of
the IEEE and the China
Computer Federation.
His current research
interests include: 1) AI
for Software Engineering
(AI4SE), i.e., adopting
AI knowledge and
techniques such as
Machine Learning (ML),
Deep Learning (DL), and
Large Language Model
(LLM), to support the
development of software
engineering (including
software requirements,
testing, debugging, and
maintenance); 2)
Software Engineering for
AI (SE4AI), i.e.,
applying the principles
of software engineering
to AI systems (such as
AI systems testing,
debugging, and
maintenance); 3)
Failure-Based Testing
(FBT), i.e., taking
advantage of the
knowledge of software
failures to support the
testing process; and 4)
Testing of Complex
Software Systems such as
IoT systems, intelligent
systems, and autonomous
driving systems.
Prof. Dave Towey
University of Nottingham Ningbo China, China
Dave Towey received his
BA and MA degrees from
The University of
Dublin, Trinity College;
PgCHE from University of
Nottingham; PgCertTESOL
from The Open University
of Hong Kong; MEd from
The University of
Bristol; and PhD from
The University of Hong
Kong. He was the first
foreign academic
recipient of the Zhuhai
municipal outstanding
teacher award, in 2007,
and he received the Lord
Dearing award in 2017
for his outstanding
contribution to the
development of teaching
and student learning. He
is a full professor, and
the associate dean for
education and student
experience for the
Faculty of Science and
Engineering. He is the
deputy head of the
School of Computer
Science, which he joined
in September 2013. He
also serves as deputy
director of the
International Doctoral
Innovation Centre
(IDIC).
After graduating from
The University of
Dublin, Trinity College,
Dave worked in Japan in
the late 1990s, helping
develop a breast cancer
screening tool using
ultrasound imaging
technology and fuzzy
reasoning.
After this, he lived in
Hong Kong from 2000 to
2005/2006, where, as
well as completing his
PhD, he worked at The
University of Hong Kong,
and as a teacher and
teacher trainer in the
local school system.
In 2005, he became
involved in a newly
created liberal arts
college in Zhuhai,
Mainland China, the
Beijing Normal
University – Hong Kong
Baptist University
United International
College (UIC), where he
remained until 2013.
While at UIC, he taught
modules related to
computer science,
linguistics, and
education. He also held
several roles, including
deputy director of the
English Language Centre,
and coordinator
(director) of the
Teaching English as a
Second Language (TESL)
degree programme. In
these roles, he oversaw
delivery of a large
number of pre-service
and in-service training
courses and workshops.
Dave's research
interests span a number
of areas, including
technology-enhanced
teaching and learning,
and software testing,
especially metamorphic
testing and adaptive
random testing.
Assoc. Prof. Jining Han
Southwest University, China
Dr. Jining Han is an associate professor in the Faculty of Education at Southwest University. He earned his Ph.D. in Second Language Acquisition and Educational Technology from the University of South Florida and holds a Master’s degree in Pedagogy from Arizona State University. He also received a postdoctoral fellowship position at the Georgia Institute of Technology. He conducts research in applying AI-supported learning, virtual reality in education, and smart learning environment.
Prof. Yanjie Song
Education University of Hong Kong, China
Professor Song Yanjie is
Associate Director of
the Centre for
Excellence in Learning
and Teaching (CELT), and
Associate Director of
the Centre for Immersive
Learning and Metaverse
in Education (CILME).
She obtained her PhD in
Educational Technology
at the Faculty of
Education, The
University of Hong Kong,
and her MEd in IT,
Multimedia and Education
at Faculty of Education,
at the University of
Leeds, UK.
Professor Song has
successfully led her
team in developing
several award-winning
applications, including
the AR and VR-supported
vocabulary learning app,
‘VocabGo’; the
collaborative,
inquiry-based science
learning app,
‘m-Orchestrate’; and the
commercialised metaverse
platform,
‘Learningverse’. Her
team has secured several
patents for
technological
innovations. She has a
proven track record of
obtaining competitive
external research grants
and other funding that
have impacted education.
Additionally, she was
ranked among the top 2%
of the world’s
most-cited scientists in
education in recent
years, according to a
list compiled by
Stanford University.
Title: Leveraging AI and 3D Metaverse – “Learningverse” to Scaffold Students in Immersive and Collaborative Learning
Abstract: Generative artificial intelligence (AI) has been adopted in various fields. However, few studies have integrated generative AI into the metaverse environments to enhance students’ learning. In this talk, I will share my experiences in how to leverage generative AI in the 3D metaverse platform “Learningverse" to scaffold students for immersive and collaborative learning. Advantages and pitfalls are explored.
Assoc. Prof. Zigang Ge
Beijing University of Posts and Telecommunications, China
Zigang Ge is an associate professor and academic adviser for MA and MS programs at the School of Humanities, BUPT. He was honored with the title of "Beijing Higher Education Young Elite Teacher" by the Beijing Municipal Government. has authored over 30 peer-reviewed papers in prestigious journals, both domestically and internationally, including Computers & Education, Computer Assisted Language Learning, International Journal of Computer-Supported Collaborative Learning, Interactive Learning Environments, and the Journal of Educational & Society. He has served on the editorial board of the Journal of Asia TEFL and has been a technical committee member for several international conferences, such as the International Conference on Signal and Image Processing (ICSIP) since 2019, and the International Conference on Digital Technology in Education (ICDTE) since 2022. In addition, He is an external reviewer for academic papers at the China Academic Degrees and Graduate Education Development Center.