IRUS – Agentic AI

32^nd IEEE International Conference on High Performance Computing, Data, & Analytics

IRUS Session #1: Agentic AI in Action: Architectures, Autonomy, and Enterprise Enablement

Date: December 19th, 2025, 3:30 PM – 5:30 PM

Location: The Westin Hyderabad Mindspace, Hyderabad, India

This session brings together thought leaders and practitioners to showcase how agentic AI and multi‑agent systems are reshaping the foundations of scalable, intelligent enterprises. From architecture‑driven approaches that move beyond single LLMs to coordinated teams of specialized agents, to practical demonstrations of sales enablement platforms powered by agentic RAG, the talks highlight how autonomous agents can plan, reason, act, and learn in real‑world contexts. Attendees will gain insights into agent topologies, governance frameworks like CASE, and applied use cases where policy, retrieval, validation, and optimization agents collaborate to deliver reliable, transparent, and domain‑aligned decision‑making. The session emphasizes responsible autonomy—embedding guardrails, oversight, and trust—while illustrating how agentic AI unlocks operational intelligence that translates analysis into measurable action across industries.

Key Highlights of the Session

Agentic AI architectures: Moving beyond single LLMs to multi‑agent orchestration.
CASE Framework: A four‑layer methodology for governing autonomous agents (Control, Adaptive, Supervisory, Engineering).
Responsible autonomy: Embedding guardrails, tracing, and human oversight for safe deployment.
Sales enablement agents: AI copilots for presentations, analytics, and seller‑buyer collaboration.
Agentic RAG: AI that drives outcomes by combining retrieval with autonomous action.

Laks Raghupathi, Shell India
Industry Research User Session Chair

Chiranjib Sur, Shell and Krea University, India
IEEE HiPC, General Vice-chair

Session Moderator

Laks Raghupathi, IRUS Chair & Session Moderator

Shell India

Laks Raghupath PhD, Global AI Transformation Leader at Shell India. With over 20 years of experience, he leads Shell’s Industrial AI Group, overseeing global teams of data scientists and engineers. He is also Chair of the IEEE Data Analytics Industry and a mentor for emerging talent, bringing deep expertise in enterprise‑scale digital and AI innovation across energy, supply chain, and B2B commerce.

Speakers

Roshni Ramnani

AI Researcher • Innovation Leader, Accenture

Bio:Roshni Ramnani is a researcher and developer with over 19 years of experience, including 14 years dedicated to AI, ML, NLP, and Conversational AI. Her work spans diverse domains including pharma, finance, and software engineering, where she has built intelligent systems that combine deep technical rigor with practical, real-world impact. She has filed 17 patents and co-authored 25 technical papers, contributing to advancements in enterprise AI, agentic automation, and applied machine intelligence. Roshni is deeply hands-on in the lab, involved in designing and prototyping cutting-edge AI architectures. She holds a master’s degree in AI/ML and continues to focus on applied research using language models, knowledge graphs, and agentic systems.

Dr. Srinivas Telukunta

Faculty Mentor, Johns Hopkins University & Great Learning

Bio: Dr. Srinivas Telukunta works at the intersection of artificial intelligence, large-scale systems engineering, and responsible autonomy. His work focuses on platform-level foundations for agentic AI—including multi-agent orchestration, durable execution, and safety frameworks—drawing on control theory, cybernetics, and complex adaptive systems to ensure predictable and verifiable agent behavior.

He is a graduate of IIT Madras and holds a PhD from Cornell University, an MBA from the Kellogg School of Management and the Indian School of Business, a CDAIO (Chief Digital and AI Officer) from ISB, and a Master’s degree in Artificial Intelligence and Machine Learning from BITS Pilani.

Dr. Telukunta is a Faculty Mentor for executive programs at Johns Hopkins University and a CPG industry AI leader, with experience spanning applied machine learning, multi-cloud systems, and AI safety. His work has supported cross-functional AI initiatives across supply chain, finance, employee experience, and R&D. He is the author of the CASE Safety Framework, a structured, multi-layer methodology for validating and governing autonomous AI systems.

His research interests include agentic architectures, AI safety, systems reliability, and computational frameworks for next-generation autonomous systems.

Vishnu Vardhan Makkapati

Senior Manager, Seismic Software India

Bio: Vishnu Vardhan Makkapati is a Senior Manager at Seismic Software India Private Limited where he leads the AI Centre of Excellence. He has a dual degree in B.E (Hons) Electrical & Electronics and M.Sc. (Hons) Mathematics from BITS, Pilani. He later graduated from IISc with a M.Sc. (Engg.) degree. He holds more than 35 patents, with many others pending. He has published several papers in reputed international conferences and journals.

HiPC 2025 is the 32^st edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. It will be an in-person event in Hyderabad, India, from December 17 to December 20, 2025.

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