Agentic AI for Semiconductor Design and Manufacturing: From Wafer Data Workflows to Intelligent EDA Systems

#Agentic #AI #Semiconductor #Design #Manufacturing #Wafer #Data #Workflows #Intelligent #EDA #Systems
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Organizer: Patricia Desgreys, TELECOM Paris, Palaiseau   


 

Janhavi Giri

 Principal Architect and Technical Industry Lead for Semiconductor EDA Strategy at NetApp



  Date and Time

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  • 19, place Marguerite Perey
  • PALAISEAU, Ile-de-France
  • France 91120
  • Building: Télécom Paris
  • Room Number: AMPHI 7

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  • Starts 11 October 2026 10:00 PM UTC
  • Ends 02 December 2026 11:00 PM UTC
  • No Admission Charge


  Speakers

Janhavi Giri of Semiconductor EDA Strategy | NetApp

Topic:

AI for Semiconductor Design and Manufacturing: From Wafer Data Workflows to Intelligent EDA Systems

Semiconductor design and manufacturing are entering a data-intensive era, with device complexity and process variability driving unprecedented computational demand. This lecture presents an emerging class of Agentic AI architectures designed to address the scale, latency, and decision-making challenges across modern EDA and fab workflows. We will examine multi-agent orchestration strategies for simulation, verification, DFM, metrology, yield learning, and root-cause discovery—supported by real industrial case studies. The session emphasizes system design choices across data models, storage, and compute pipelines, offering practical insights for circuits-and-systems innovation. Participants will learn actionable pathways to embed Agentic AI into end-to-end silicon lifecycle acceleration.

Biography:

Dr. Janhavi Giri is a Principal Architect and Technical Industry Lead for Semiconductor EDA Strategy at NetApp, where she drives the convergence of AI, data infrastructure, and semiconductor workflows. She brings over a decade of experience spanning semiconductor manufacturing, computational lithography, and applied AI/ML, with a focus on enabling scalable, production-grade intelligence across design and fabrication. Her work centers on advancing agentic AI systems, topological data analysis, and selfsupervised learning to address complex challenges in yield optimization, defect analysis, and autonomous manufacturing. She has led cross-functional initiatives integrating AI into high-volume manufacturing environments and collaborates closely with industry consortia, academic institutions, and technology partners to shape next-generation semiconductor ecosystems. Dr. Giri is an invited speaker at leading conferences and a recognized voice in AI-driven semiconductor innovation. She actively contributes to IEEE initiatives and serves on technical program committees, advancing the role of intelligent systems in electronics design and manufacturing.