INVITE SPEAKERS
Dr. Bruno Carpentieri,
Università di Salerno, Italy
Speech Title: Data
Compression Does Not Only Compress Data
Abstract: Digital data compression is the
coding of digital data to minimize its
representation. In compressed form digital data
can be stored more compactly and transmitted
more rapidly. While at the beginning data
compression had as its main application the
storage of files on disks and digital memories
today digital data compression is the key
protagonist in digital communication: we would
not have, for example, digital TV, smartphones
and satellite communications and even the AI
engines without efficient data
compression.Recent advances in compression span
a wide range of applications.
For example Internet and the World Wide Web
infrastructures benefits from compression,
search engines can extend the idea of sketches
that work for text files, image, speech or music
data, etc.. Additionally, new general
compression methods are always being developed,
those that allow indexing over compressed data
or error resilience. Compression also inspires
information theoretic tools for pattern
discovery and classification, especially for bio
sequences.
Today we know that data compression, data
prediction, data classification, learning and
data mining are facets of the same
(multidimensional) coin.
In this talk we will review some of the recent
advances in the field and discover uncommon
applications of data compression.
Biography: Bruno Carpentieri graduated in
Computer Science at the University of Salerno,
and then obtained the Master of Arts Degree and
the Philosopy Doctorate Degree in Computer
Science at the Brandeis University (Waltham, MA,
USA).Since 1991, he was first Researcher, then
Associate Professor and finally Full Professor
of Computer Science at the University of Salerno
(Italy).His research interests include data
compression and information hiding.He was
Associate Editor of IEEE Trans magazine. on
Image Processing and is still Associate Editor
of the international journals Algorithms and
Security and Communication Networks. He was also
chair and organizer of various international
conferences including the International
Conference on Data Compression, Communication
and Processing, co-chair of the International
Conference on Compression and Complexity of
Sequences, and, for many years, a member of the
program committee of the IEEE Data Compression
Conference.He has been responsible for several
European Commission contracts in the field of
data compression (compression of digital images
and videos).He directs the Data Compression
Laboratory at the Computer Science Department of
the University of Salerno.
Dr. Sanghyuk Lee
New Uzbekistan University, Uzbekistan
Speech Title: Decision
Making with Iterative Game with Semi-Perfect
Information
Abstract: A decision making framework
with an iterative game structure has been
proposed. In the proposed structure, the maximum
benefit for each player is resolved by the
iteration process. Based on the payoff matrix,
the optimal solution is sought by comparing it
with the criterion set by the players. To
maximize the benefit for each party (buyer and
seller), an iterative game structure is proposed
based on the given payoff matrix and iterative
machine. For real-world application, practical
example is considered, and a feasible solution
is obtained. In comparison with the existing
body of research on game theory under
semi-perfect information, the provided solution
is far from their payoff but the result would be
acceptable for two parties.
Biography: Sanghyuk Lee (M'21-SM'21)
received Doctorate degree from Seoul National
University, Seoul, Korea, in Electrical
Engineering in 1998. His main research interests
include data evaluation with similarity measure,
human signal analysis, high dimensional data
analysis, controller design for linear/nonlinear
system, and observer design for linear/nonlinear
system. Dr. Lee is currently working as a
Professor at School of Computing of New
Uzbekistan University, Tashkent, Uzbekistan
since 2023. He had been working as a founding
director of the Centre for Smart Grid and
Information Convergence (CeSGIC) in Xi’an
Jiaotog-Liverpool University in Suzhou, China
from 2014 to 2023. He also had been serving as a
Vice President of Korean Convergence Society
(KCS) from 2012 to 2019, and was appointed as an
Adjunct Professor at Chiang Mai University,
Chiang Mai, Thailand, in 2016. Dr. Lee organized
several international conferences with KCS and
was awarded multiple honors such as outstanding
scholar/best paper award from KCS and Korean
Fuzzy Society. Dr. Lee is a senior member of
IEEE.
Dr. Amirrudin Kamsin
University Malaya, Malaysia
Speech Title: Challenges
in Blended Learning
Abstract: Blended learning is widely
regarded as an approach that combines the
benefits afforded by face-to-face and online
learning components. However, this approach of
combining online with face-to-face instructional
components has raised concerns over the years.
Several studies have highlighted the overall
challenges of blended learning mode of
instruction, but there has been no clear
understanding of the challenges that exist in
the online component of blended learning. Thus,
a systematic review of literature was conducted
with the aim of identifying the challenges in
the online component of blended learning from
students, teachers, and educational institutions
perspectives. Self-regulation challenges and
challenges in using learning technology are the
key challenges that students face. Teachers’
challenges are mainly on the use of technology
for teaching. Challenges in the provision of
suitable instructional technology and effective
training support to teachers are the main
challenges faced by educational institutions.
This review highlights the need for further
investigations to address students, teachers,
and educational institutions’ challenges in
blended learning. In addition, we proposed some
recommendations for future research.
Biography: Amirrudin Kamsin is a Senior
Lecturer at the Faculty of Computer Science and
Information Technology, and the Acting Director
and Deputy Director (ODL and Professional
Programme) at the University of Malaya Centre
for Continuing Education (UMCCed), University of
Malaya, Malaysia. He received his BIT
(Management) in 2001 and MSc in Computer
Animation in 2002 from University of Malaya and
Bournemouth University, UK respectively. He
obtained his PhD in Computer Science from
University College London (UCL) in 2014. His
research areas include human-computer
interaction (HCI), authentication systems,
e-learning, mobile applications, serious game,
augmented reality and mobile health services.
Speakers in 2025 to be announced soon......
