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. 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. 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.