Invited Speakers
Prof. Antonio Alarcón-Paredes
National Polytechnic Institute, Mexico
Bio: Dr. Antonio Alarcón-Paredes is a
professor at the Intelligent Computing
Laboratory of the Computer Research Center
at the National Polytechnic Institute, where
he also earned his Ph.D. in Computer
Science. With over a decade of experience in
the field, he has authored multiple articles
in high-reputed journals and international
conferences. He holds one granted patent and
three others pending. Since 2020, he has
been recognized as a Level 1 National
Researcher by the Ministry of Humanities,
Science, and Technology of the Mexican
government and is also a member of the
Mexican Society for Artificial Intelligence.
His research interests include the
development of algorithms and applications
in areas such as image analysis, computer
vision, machine learning, deep learning,
intelligent computing applications, and
biomedical applications.
Prof. Chinthaka Premachandra
Shibaura Institute of Technology, Japan
Bio:
Chinthaka Premachandra (Senior Member, IEEE)
was born in Sri Lanka. He received his B.Sc.
and M.Sc. degrees from Mie University, Tsu,
Japan, in 2006 and 2008, respectively, and
his Ph.D. degree from Nagoya University,
Nagoya, Japan, in 2011. He is a Professor in
the Department of Advanced Electronic
Engineering, School of Engineering and
Graduate School of Engineering, Shibaura
Institute of Technology, Tokyo, Japan, where
he currently serves as the Director of the
Image Processing and Robotics Laboratory.
His research interests include AI, UAVs,
image processing, audio processing,
intelligent transport systems (ITS), and
mobile robotics. He has authored or
co-authored over 200 publications in reputed
journals and conferences related to these
fields.
He is currently an Associate Editor for IEEE
Robotics and Automation Letters (R-AL) and
IEICE Transactions on Information and
Systems. He is a member of IEEE, IEICE
(Japan), SICE (Japan), RSJ (Japan), and SOFT
(Japan). He has received numerous awards,
including 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 is also the
Founding Chair of the International
Conference on Image Processing and Robotics
(ICIPRoB), which is technically co-sponsored
by IEEE.
Prof. Abril Uriarte Arcia
CIDETEC - IPN, Mexico
Bio: Dr. Uriarte is a
teacher/researcher at the Center for
Innovation and Development in Computing
Technology (CIDETEC) of the Instituto
Politécnico Nacional (IPN), México, since
2016. His areas of work include topics
related to machine learning, pattern
classification, neural networks, deep
learning, associative memories, time series
prediction, and data stream classification.
She has participated in the development of
projects where intelligent computing methods
are applied to problems of social impact
such as pre-diagnosis of diseases and
environmental monitoring.
Dr. Uriarte earned a BSc in Computer
Engineering from the National University of
Engineering (UNI) in Managua, Nicaragua. She
received her MSc and PhD in Computer Science
from The Computing Research Center, IPN.
She is a professor in Artificial
Intelligence Engineering and Master's in
Computing Technology programs at the IPN, in
Bioinspired Algorithms and Machine Learning
topics. She has participated in the creation
of academic programs such as the Artificial
Intelligence Engineering program and the
graduate program (master's and doctorate) in
Artificial Intelligence Science and
Technology and Data Science. Member of the
IPN research networks in Computing and
Artificial Intelligence and Data Science.
Asst. Prof. Sook Shin
Virginia Tech, USA
Bio: Dr.
Sook Shin is a Collegiate Assistant
Professor in the Department of Electrical
and Computer Engineering at Virginia Tech.
Her primary area of expertise is
bioinformatics, particularly in the analysis
of gene and disease data. Through her
research, she applies advanced computational
methods to better understand complex
biological systems and their implications
for human health. In addition to her work in
bioinformatics, Dr. Sook Shin has recently
expanded her research into the area of
precision livestock management, using
Artificial Intelligence (AI) to improve the
monitoring and management of livestock. This
work focuses on automated behavior analysis
and predictive modeling, with the goal of
optimizing livestock health and
productivity. By predicting factors such as
weight and body condition, her research aims
to provide farmers with better tools for
managing livestock efficiently while
ensuring animal well-being. Dr. Sook Shin
earned her Ph.D. from Virginia Tech in 2012,
which laid the foundation for her current
research in both bioinformatics and AI. Her
interdisciplinary approach to combining
computational methods with agriculture and
health has opened up new possibilities for
both fields, contributing valuable insights
to the growing intersection of technology,
biology, and farming.
Asst.
Prof. Isaac Kofi Nti
University of Cincinnati, USA
Bio: Dr. Isaac Kofi Nti is an Assistant Professor
and Co-lead of the Information Technology
Analytics Center (ITAC) at the School of
Information Technology, University of
Cincinnati, Ohio, USA. He holds a Ph.D. in
Computer Science from the University of
Energy and Natural Resources (UENR) and
brings over 16 years of experience in higher
education. Dr. Nti has published over 60
research papers in highly peer-reviewed
journals, garnering more than 2,400
citations worldwide. Building on his
extensive experience, Dr. Nti's research
interests include applied machine learning
in cybersecurity, education, health
informatics, energy systems, agriculture,
finance, and data privacy. As a seasoned
academician and researcher, Dr. Nti is
dedicated to advancing the field of applied
machine learning.
Assoc. Prof. Jiaxin Cai
Xiamen University of Technology, China
Bio:
Jiaxin Cai received his Ph.D. degree in
Information and Computation Science from Sun
Yat-Sen University in 2014. He also received
his M.S. degree and B.Sc. degree in
Bio-medical Engineering from Southern
Medical University in 2011 and 2008
respectively. Currently, he is an associate
professor in the School of Mathematics and
Statistics at Xiamen University of
Technology. He has authored over 40
peer-reviewed papers at academic journals
and conferences. His current research
interests include machine learning, computer
vision and bio-medical engineering.
Dr. Vishnu S. Pendyala
San Jose State University, USA
Bio: Vishnu S. Pendyala, PhD is a faculty member
in Applied Data Science and an Academic
Senator with San Jose State University,
current chair of the IEEE Computer Society
Santa Clara Valley Chapter, and IEEE
Computer Society Distinguished Contributor.
During his recent 3-year term as an ACM
Distinguished Speaker and before that as a
researcher and industry expert, he gave
numerous (80+) talks in various reputed
forums. Some of these talks are available on
YouTube and IEEE.tv. He is a senior member
of the IEEE and ACM and has over two decades
of experience in the software industry in
the Silicon Valley, USA. His book, “Veracity
of Big Data,” is available in several
libraries, including those of MIT, Stanford,
CMU, the US Congress and internationally. In
2023, Dr. Pendyala served on the US
government's National Science Foundation
(NSF) proposal review panel.