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.