Shashi Sourabh, Ph.D.

Welcome to my corner of the digital world! I’m Shashi Sourabh, and I am thrilled to share my journey and passion for semiconductor technology and innovation with you.

At PDF Solutions, I serve as a Senior Field Application Engineer and VCI E Beam R&D specialist, focusing extensively on semiconductor technology. My role involves the detailed analysis of defects in advanced process technologies, including Intel's 7nm, 20A, Intel 4, and Intel 3 nodes. By utilizing cutting-edge e-beam inspection systems, I develop and optimize scanning recipes to achieve the highest precision, providing essential insights to engineering teams. I also spearheaded the development of Python-based Auto Defect Classification tooling and workflow for SEM image classification using Convolutional Neural Networks (CNN). This initiative significantly improved the accuracy and speed of defect classification, showcasing the transformative potential of integrating advanced machine-learning techniques into industrial processes. 

My academic journey took me through an intense and rewarding path, culminating in a Ph.D. in Physics from the University of Oklahoma. At the Center for Quantum Research and Technology (CQRT), my research focused on exploring carrier dynamics and hot carrier relaxation in 2D/bulk metal halide perovskites and InAs quantum wells for photovoltaic applications. This research not only enriched my understanding of advanced optical and electrical measurement techniques—like J-V characterization, photoluminescence, ultrafast transient absorption, and Raman spectroscopy—but also allowed me to collaborate with prestigious institutions such as NASA, the National Renewable Energy Laboratory (NREL), and the Naval Research Laboratory (NRL). These collaborations were instrumental in advancing the study of perovskite materials for solar cells and space applications.

At PDF Solutions, I’ve further honed my managerial and technical skills, coordinating cross-functional teams to prototype and test new features seamlessly integrated into existing systems.

My passion lies in translating cutting-edge research into practical solutions that drive industrial innovation. I thrive on tackling complex technical challenges with a robust skill set that includes advanced data analysis, machine learning, and semiconductor process development. With proficiency in Python, LabView, Mathematica, TensorFlow, and other computational tools, I am always enthusiastic about exploring new projects and collaborative opportunities. 

Thank you for stopping by my website. Whether you have questions, ideas, or potential collaboration opportunities in semiconductor technology, materials science, or advanced computational methods, I would love to connect with you. Let's push the boundaries of innovation together!