FMA (Fellow-Mentor-Advisor)

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

Albert Gural

Fellow:

Albert Gural

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:

Tanya Liu & Chi Zhang

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

Shridevi Muthkhod

Fellow:

Shridevi Muthkhod

Advisor:

Prof. Boris Murmann, EE
murmann@stanford.edu

Focus Area:

Internet of Everything

Acoustic Emission Characterization of Thin Films

Fellow:

Chen Liu

Advisor:

Prof. Debbie Senesky, Aero/Astro
dsenesky@stanford.edu

Detecting and Explaining Anomalies in Test and Measurement

Kexin Rong

Fellow:

Kexin Rong

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

Chris Choy

Fellow:

Chris Choy

Advisor:

Prof. Silvio Savarese, CS
ssilvio@stanford.edu

Focus Area:

Computation for Data Analytics

Analog-to-Information Converter Front-End Circuit Design

Dan Villamizar

Fellow:

Dan Villamizar

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 & CS
subh@stanford.edu

 

Focus Area:

Heterogeneous Integration & Computation for Data Analytics

RRAM Characterization for Deep Learning

Fellow:

Jonas Messner

Advisor:

Prof. Boris Murmann, EE
murmann@stanford.edu