Dr. Kamal Pandey, who holds a Ph.D. and a Master’s degree in Computer Science, brings over 17 years of global experience across Asia, EMEA, the USA, and Europe. He is a Sr. Staff Solution Architect in Applied AI & Software Engineering at Rivian Automotive Inc, based in Irvine, California. Kamal focuses on AI product development and research, helping bridge emerging technology, business strategy, and real-world engineering execution. Their work spans scalable system design, software-defined vehicle innovation, and autonomy development, with an emphasis on building practical solutions that advance the future of intelligent mobility. Known for a thoughtful and collaborative leadership style, Kamal brings a strong perspective on applying AI to complex enterprise and automotive challenges.  

From Generative AI to Secure Agentic Systems: A Trust-Centered Framework for Emerging Computer Science Abstract Artificial Intelligence is rapidly evolving beyond generative models toward agentic systems capable of reasoning, retrieving knowledge, interacting with tools, and operating with increasing autonomy across complex digital environments. This transition represents a major shift in computer science, influencing software engineering, cybersecurity, human-computer interaction, and intelligent systems design. While these advances expand the capabilities of modern computing, they also introduce significant challenges, including adversarial manipulation, privacy exposure, hallucination risk, limited interpretability, and governance complexity. This presentation introduces a trust-centered framework for understanding the next phase of AI as an emerging discipline within computer science. It examines how large language models, retrieval-augmented generation, multimodal intelligence, and agentic architectures are redefining the design and operation of intelligent systems. The talk further argues that future progress in AI must be evaluated not only by capability and scale, but also by security, explainability, resilience, and ethical alignment. By integrating perspectives from AI innovation, cybersecurity, and responsible systems engineering, this session offers a rigorous academic view of how trustworthy intelligent systems can be designed for real-world adoption. The presentation is intended for researchers, practitioners, and technology leaders interested in the technical and strategic foundations of secure and credible AI systems.