Deepshikha Shekhawat
( Advanced Micro Devices )
Deepshikha Shekhawat’s professional and research trajectory directly aligns with the Soft Computing Research Society’s (SCRS) mission to advance intelligent systems and human-centric computing for global impact. Her career—spanning semiconductor supply chain analytics, predictive intelligence, and data-driven engineering systems—embodies the application of soft computing principles to solve large-scale, high-stakes industrial challenges.
Through her work at Advanced Micro Devices (AMD) and Applied Materials (AMAT), Deepshikha has operationalized AI, machine learning, and fuzzy-decision modeling techniques to create systems that adapt under uncertainty—core to soft computing. Her initiatives such as the Autonomous Test Decision Center, Dynamic KPI Intelligence, and Predictive Analytics for Semiconductor Supply Chains demonstrate the application of hybrid learning systems and decision intelligence to optimize yield, forecast performance, and enhance resilience in complex environments.
Her Dataiku-based NLP and clustering framework for equipment service-case modeling (2020–2022) leveraged soft classification and n-gram analysis to derive patterns from over 2 million unstructured engineering records—an innovation that mirrors SCRS’s research in cognitive and adaptive computing. Similarly, her Field Service System (FSS) ROI project and quarterly resource allocation monitoring (QRAM) Automation Tool exemplify fuzzy modeling and adaptive optimization to balance trade-offs between human expertise and automated analytics.
Deepshikha’s approach reflects SCRS’s values of interdisciplinary collaboration and real-world translation of intelligent systems. She bridges academic concepts—such as time-series forecasting, anomaly detection, and data fusion—with industrial-scale execution in manufacturing, supply chain, and product engineering. Her ongoing invited talks at SCRS-affiliated venues (e.g., ICIVC 2025, Soft Computing Research Society conference in Dehradun) and global judging roles for IEEE, IET, SWE, and Technovation amplify SCRS’s commitment to fostering innovation, diversity, and ethical AI across the engineering community.
By translating soft computing into sustainable, scalable impact for Fortune 500 organizations, Deepshikha embodies SCRS’s mission to “inspire, inform, and influence” the evolution of intelligent systems that serve humanity through data, adaptability, and collective intelligence.
.png){kind=logo}
ICDSA 2026 - VIT Mauritius, Mauritius | July 11-12, 2026