Dr. Shruti Kalra’s research focuses on improving the performance, reliability, and energy efficiency of modern electronic circuits and systems. She works mainly in the field of VLSI full-custom design, CMOS circuit reliability, and machine learning applications in nanoelectronics. Her studies on ultra-deep submicron CMOS circuits have helped understand how temperature, aging effects like Negative Bias Temperature Instability (NBTI), and other physical changes affect circuit performance over time. By developing analytical models and using AI/ML techniques, she has proposed methods to predict device reliability and extend circuit lifetime. She has worked on low-power design techniques, enabling circuits to operate efficiently at near-threshold voltages without losing performance. Her research also covers thermal modeling to prevent overheating in densely packed chips, ensuring safety and long-term stability. Dr. Kalra applies machine learning to problems like reliability forecasting, fault detection, and performance optimization, creating smart methods that help engineers design better circuits faster. She has also explored smart sensors and energy-harvesting systems for applications in renewable energy and portable electronics. Her work includes 40+ indexed journal publications, patents, and contributions to book chapters. She has presented her research at IEEE international conferences and has received recognition for her technical contributions. Through the MeitY Chip to Startup (C2S) project, where she is the Principal Investigator from JIIT, she is developing advanced design capabilities and training future engineers. Her research blends theory, simulation, and practical lab work, contributing to innovations in semiconductor technology and inspiring students to take up advanced electronics research.