SystemX is continuing Stanford’s successful tradition, pioneered by John Linvill, former director of CIS (SystemX’s predecessor) of “FMA” (Fellow-Mentor-Advisor) relationships. A member company supports research by a Stanford Ph.D. student Fellow, who interacts closely with an expert Mentor from the company to conduct advanced research into an area of mutual interest under the guidance of a faculty Advisor. More than 30 years later, FMAs have become the model for university-corporate partnerships. SystemX can set up a new FMA research relationship with any professor at Stanford whose research falls within our general areas of interest.
Archive:
Current FMA Projects for 2018-2019:
Low-power PPG/SPO2 signal acquisition
Fellow:
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Internet of Everything & Bio Interfaces
Silicon-based Vapor chamber Heat Spreader Design and Fabrication
Fellows:
Advisor:
Prof. Ken Goodson, ME
goodson@stanford.edu
Focus Area:
Heterogeneous Integration
Designing a high-efficiency RF power amplifier for plasma generation
Fellow:
Kawin Surakitbovarn
Advisor:
Prof. Juan Rivas, EE
jmrivas@stanford.edu
Focus Area:
Energy/Power Management Systems
Low-power RRAM-based Convolutional Neural Networks
Fellow:
Danny Bankman
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Internet of Everything & Computation for Data Analytics
TinyML System for In-Sensor and Edge Computing
Fellow:
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Internet of Everything
Acoustic Emission Characterization of Thin Films
Fellow:
Chen Liu
Advisor:
Detecting and Explaining Anomalies in Test and Measurement
Fellow:
Advisor:
Prof. Peter Bailis, CS
pbailis@stanford.edu
Focus Area:
Computation for Data Analytics
Focusing on the issue of accurate and efficient object segmentation from video sequences
Fellow:
Advisor:
Prof. Silvio Savarese, CS
ssilvio@stanford.edu
Focus Area:
Computation for Data Analytics
Analog-to-Information Converter Front-End Circuit Design
Fellow:
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Bio Interfaces
Optimal computing organization - 3D vs 2D - for specific computing domains
Fellows:
Haitong Li & William Hwang
Advisor:
Prof. Subhasish Mitra, EE & CSsubh@stanford.edu
Focus Area:
Heterogeneous Integration & Computation for Data Analytics
RRAM Characterization for Deep Learning
Fellow:
Jonas Messner
