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, where I serve as a Senior Field Application Engineer and VCI E Beam R&D specialist, I dive deep into the world of semiconductor technology. My work involves meticulously analyzing defects in Intel's cutting-edge process technologies like 7nm, 20A, Intel 4, and Intel 3. Using state-of-the-art e-beam inspection systems, I develop and optimize scanning recipes that ensure the highest accuracy and provide valuable insights to engineering teams. One of the proudest achievements in my career has been leading the Auto Classification Project. By harnessing the power of Convolutional Neural Networks (CNN) and statistical analysis, I’ve been able to significantly improve defect classification accuracy and speed, demonstrating the transformative potential of integrating advanced machine learning techniques into industrial applications.

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. By regularly communicating project updates to senior management, I ensure that our research bridges the gap to industrial applications, aiding in strategic planning and informed decision-making.

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 eager to explore new projects and collaborations.

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!