Asst.
Prof. Isaac Kofi Nti
University of Cincinnati, USA
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.
Dr. Vishnu S. Pendyala
San Jose State University, USA
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.