Sushil D Padiyar

About Sushil D Padiyar

Applied Materials fosters advanced technology roadmapping under my leadership, focusing on sub-10nm tooling, device integration and the implications on semiconductor factory operations, yield optimizations & capital expenditures. My work spans defining product portfolio strategies and lifecycle management, with an emphasis on emerging segments across industry device segments. Contributions include creating methodologies for technology incubation, validation, and release to address industry transitions such as adv. logic, hybrid bonding and HBM.Semiconductor innovation is at the core of my 25+ years of experience, with a proven track record in silicon device integration, yield improvement, and manufacturing efficiency. Leveraging expertise in statistical data analytics and tools such as JMP and Six Sigma, I enable data-driven decision-making to improve product performance and reliability. My collaborative approach ensures alignment with customer technology needs, advancing next-generation lithography, inspection, and metrology solutions.

Experience

1. Technology Engineering

   Applied Materials

   Jan 2009 — Present

   Advanced technology (sub10nm) Roadmap Definition & Implications on Global Capital Expenditures.(Inclusive of IDM, Contract Mfg and Computing, Memory & Technology Inflections Heralding the IOT/Big-Data Driven Zetabyte Cloud Era). Product portfolio and life cycle management improvements, New technology creation methodologies (Incubation, Validation, Release) for emerging segments like magnetic memory and high resolution, low power displays.Organic vs. Inorganic Technology Development Approaches and Strategies For Critical Equipment Segments (Including Next Gen Lithography and Patterning, Next Gen Inspection & Metrology, High Mobility Materials Integration, Non-Volatile Memory Alternatives and SOC/Chip Stacking).Supported installation of key equipment and turn-key solar factory start-ups (a-Si:H/multi crystalline Si thin film cells) in Germany and China. Partnered IT to develop and commercialize a predictive analytics SW platform based on data-mining off Sun-Fab turn-key solar lines for customers in Germany, China, India, Spain.

Education

• Cornell University

  Executive Leadership

  2013 — 2013

• UC Berkeley College of Engineering

  AI Leadership Accelerator, AI Capabilities, Roadmaps and Delivering Tangible Results

• University of Mumbai

  M.SC, Experimental, Lasers & Plasma Physics

• University at Albany

  M.S, Ph.D, Physics(Digital Imaging/Optics,Digital Detectors) Semiconductor Device Physics/Fabrication (@ RPI)

• UC Berkeley College of Engineering

  Engineering Leadership, UC Berkeley Executive and Professional Programs

  2017 — 2017