Dr. Narayan Srinivasa, IEEE Fellow

Agentic AI represents a groundbreaking shift in artificial intelligence, enabling systems to act autonomously, make decisions, and achieve goals with minimal human intervention. This talk explores the concept of Agentic AI, its various types, adoption trends, and the transformative impact it is poised to have on industries and societies. From reshaping workflows to influencing ethical frameworks, we’ll examine how this emerging technology drives innovation and redefines humanity’s relationship with intelligent systems.

Biography:

Srinivasa received his Ph. D. from the University of Florida in Gainesville in 1994 and was Beckman Post-Doctoral Fellow in the Human Computer Intelligent Interaction group at the Beckman Institute, University of Illinois at Urbana Champaign from 1994-1997. Between 1998-2015, he was with HRL Laboratories in Malibu CA where he became Principal Scientist and the Director for Neural and Emergent Systems. At HRL, he worked on a wide range of AI projects for Boeing, GM, and the US Government, including visual perception and computer vision, signal processing and sensor fusion, brain-inspired computing, and robotics. He joined Intel Labs in 2016 as Chief Scientist to lead the development of neuromorphic technology and played a key role in the development of the Loihi neuromorphic chip. He is currently Senior Principal AI Engineer and Director for Machine Intelligence Research Programs at Intel Labs. He is responsible for accelerating Intel Labs research on problems with high risk but also with a potential for high reward to Intel. He has 126 issued US patents and over 100 articles in journals, magazines, and conferences. He is a Fellow of the IEEE.

Address:United States

Dr. Vishnu S. Pendyala of San Jose State University

Biography:

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 Santa Clara Valley Chapters of IEEE Computer and Computational Intelligence Societies, Area 4 Coordinator for Region 6, and a Distinguished Contributor of the IEEE Computer Society. As a past ACM Distinguished Speaker, researcher, and industry expert, he gave  nearly 100 talks and tutorial sessions in various forums such as faculty development programs, the 12^th IEEE GHTC, IEEE ANTS, 12^th IACC, 10^th ICMC, IUCEE, 12^th ACM IKDD CODS and 30^th COMAD to audiences at venues such as Stanford University, Google, University of Bolton, Computer History Museum, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Jodhpur, University of Hyderabad, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and ACM. He 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. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala served on a US government's National Science Foundation (NSF) proposal review panel in 2023. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in the Computer Society of India and was the Program Secretary for its annual national convention.

Address:One Washington Sq, San Jose State University, San Jose, New York, United States, 95192-0250