Tuesday, 01 October 2024 at Noon | 490 Cory Hall
Watch the seminar recording here.
Mahesh Chowdhary, Ph.D.
STMicroelectronics, MEMS Software Solutions
Host: Jon Candelaria
ABSTRACT
Smart sensors are driving a shift towards distributed computing, which greatly reduces the need for bandwidth when sensor data is processed using edge computing capabilities in microcontrollers (MCUs) or sensors. These advanced sensors now come with integrated Machine Learning Core (MLC) and Finite State Machine (FSM). They can execute decision trees directly within the MLC. For time-sensitive and remote applications, tiny machine learning (tinyML) offers hardware and software solutions that enable continuous, real-time, cost-effective, and ultra-low-power processing at the edge. To further minimize power consumption, latency, and device size, sensor manufacturers are embedding custom processing logic within sensors for data analysis. These integrated processing units support on-chip sensor fusion, signal conditioning, and machine learning model execution. This integration facilitates the development of various applications across consumer, industrial, and medical devices—such as laptops, smartwatches, or wireless sensor nodes—where minimizing power use is crucial. This presentation will explore the evolving field of on-sensor machine learning and its role in creating solutions that deliver an always-on user experience with exceptionally low power consumption, often in the range of single-digit microamps for sensor applications.
BIO
Mahesh Chowdhary, Ph.D., is a Company Fellow and Senior Director of MEMS software solutions at STMicroelectronics, Santa Clara. He leads effort on development of MEMS devices software solutions and reference designs for consumer electronics, automotive and industrial applications. His areas of expertise include MEMS sensors, artificial intelligence and machine learning (ML), Internet-of-Things (IoT), digital transformation, and location technologies. He has been awarded over 40 patents. He has spoken extensively internationally about ML, smart sensors, and IoT. Prior to ST, he was a Senior Director of MEMS technology at CSR, where he worked on the integration of MEMS sensors, GPS, and wireless technologies. As Founder and CTO of Acculeon, he pioneered the use of GPS and MEMS sensors in vehicle safety applications. He has also worked on a variety of advanced navigation technologies at Visteon and on autonomous vehicles at the Corporate R&D Center at Caterpillar. As a Control Systems Scientist at Thomas Jefferson National Accelerator Facility, he worked on signal processing applications relating to position and energy feedback loops in the particle accelerator. Mahesh received Ph.D. from the College of William & Mary in 1996. He is also an adjunct professor at the Indian Institute of Technology, Delhi.
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