Our Team

Professor Srabanti Chowdhury is a leading semiconductor researcher and engineering innovator whose work in wide bandgap (WBG) and ultra-wide bandgap (UWBG) materials significantly advances The Standard School of Machine Learning’s mission to shape the future of intelligent, sustainable technologies. With a distinguished background in Electrical Engineering and Materials Science, she specializes in next-generation electronic and power devices, focusing on energy-efficient system architectures, RF applications, and advanced thermal management—areas increasingly enhanced through data-driven modeling and machine learning tools.

Professor Chowdhury completed her M.S. and Ph.D. in Electrical and Computer Engineering at the University of California, Santa Barbara, where she began groundbreaking work on diamond integration with GaN and SiC. Her pioneering research on lowering thermal boundary resistance has earned major recognitions, including the 2023 Semiconductor Research Society (SRC) Technical Excellence Award and the 2025 Quantum Device Award for transformative contributions to Vertical GaN devices and phonon-engineered thermal interfaces. She is also a recipient of the Sloan Fellowship in Physics (2020), the ISCS Young Scientist Award (2016), and earlier prestigious honors such as the DARPA Young Faculty Award, NSF CAREER Award, and AFOSR Young Investigator Award.

Her extensive contributions include 8 book chapters, 150 journal papers, 150 conference presentations, and 27 issued patents, reflecting her global impact on semiconductor technology. She has held leadership roles in major IEEE committees, including the IRPS and the VLSI Symposium, and currently serves on the executive committee of IEDM. Since 2021, she has been a Senior Fellow at the Precourt Institute for Energy. In 2024, she was elevated to IEEE Fellow for her exceptional contributions to wide bandgap semiconductor devices and technologies.

At TheSSML, Professor Chowdhury integrates semiconductor engineering with machine learning, guiding students toward innovations in advanced materials, thermal modeling, and intelligent energy systems—preparing the next generation of researchers to push the boundaries of high-performance and sustainable technology.