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.
Last year's FMA students participated in presentations and presented posters at the 2020 Fall Conference. Login is required to view poster PDFs and recordings.
Archive:
Current FMA Projects for 2020-2021:
Design modeling of miniature silicon vapor chamber heat spreaders
Fellow:
Sougata Hazra, Jillian Anderson, and Chi Zhang
Advisor:
Prof. Ken Goodson, ME
goodson@stanford.edu
Focus Area:
AMEND/Heterogeneous Integration
Silicon-based vapor chamber heat spreader design and fabrication
Fellow:
Advisor:
Prof. Ken Goodson, ME
goodson@stanford.edu
Focus Area:
Heterogeneous Integration
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
Fellow:
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Computation for Data Analytics
Embedded PPG based AFIB Detection
Fellow:
Advisor:
Prof. Euan Ashley, Med/Cardiovascular Medicine
euan@stanford.edu
Focus Area:
Bio Interfaces/Internet of Everything
Developing Pono, an open-source hardware model checker
Fellow:
Ahmed Irfan
Advisor:
Prof. Clark Barrett, CS
barrett@cs.stanford.edu
Focus Area:
Computation for Data Analytics
Flat lens and metasurface
Fellow:
Advisor:
Prof. Jonathan Fan, EE
jonfan@stanford.edu
Focus Area:
Photonics and Quantum Technologies
Learning and control on nonlinear coupled dynamical systems
Fellow:
Andrei Kanavalau
Advisor:
Prof. Sanjay Lall, EE
lall@stanford.edu
Focus Area:
Computation for Data Analytics
Film deposition, annealing and analysis, including XRD, XPS, and SEM-EDS, plus focus on TGA/DSC with powders
Fellow:
Payton Broaddus
Advisor:
Prof. Olav Solgaard, EE
solgaard@stanford.edu
Focus Area:
AMEND
Boron Nitride and Other Films for Oxidation and Corrosion Protection
Fellow:
Advisor:
Prof. Eric Pop, EE
epop@stanford.edu
Focus Area:
AMEND
Mixed-signal circuit design for low-energy machine learning platforms
Fellow:
Hank Yu
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Internet of Everything
Multi-fidelity ensemble for uncertainty quantification and optimization
Fellow:
Mark Benjamin
Advisor:
Prof. Gianluca Iaccarino, ME
jops@stanford.edu
Focus Area:
Computation for Data Analytics
Designing a high-efficiency RF power amplifier for plasma generation
Fellow:
Advisor:
Prof. Juan Rivas-Davila, EE
jmrivas@stanford.edu
Focus Area:
Energy/Power Management Systems
Interactive Haptic simulation and robot teleportation
Fellow:
Advisor:
Prof. Oussama Khatib, CS
KHATIB@CS.stanford.edu
Focus Area:
Robotics and Autonomous Systems
Minimal energy wireless sensing and comms
Fellows:
Yinuo Xu
Advisor:
Prof. Tom Lee, EE
tomlee@ee.stanford.edu
Focus Area:
Internet of Everything
Compression for VR
Fellow:
Shubham Chandak, Brooke Krajancich, and Luke Hsiao
Advisors:
Prof. Tsachy Weissman, EE
tsachy@stanford.edu
Prof. Gordon Wetzstein, EE
gordon.wetzstein@stanford.edu
Prof. Keith Winstein, CS
keithw@cs.stanford.edu
Focus Area:
Photonics and Quantum Technologies
Distributed ray tracing
Fellow:
Advisors:
Prof. Kayvon Fatahalian, CS
kayvonf@stanford.edu
Prof. Pat Hanrahan, EE & CS
hanrahan@cs.stanford.edu
Focus Area:
Photonics and Quantum Technologies
Memory-centric computing
Fellow:
Robert Radway
Advisor:
Prof. Subhasish Mitra, EE & CS
subh@stanford.edu
Focus Area:
Computation for Data Analytics
A Python Embedded Hardware Construction Language Designed for Productivity, Performance and Correctness
Fellow:
Leonard Truong and Raj Setaluri
Advisor:
Prof. Pat Hanrahan, EE & CShanrahan@cs.stanford.edu
Focus Area:
Design Productivity
Noisy Neural Network Compression for Analog Storage Devices
Fellow:
Advisor:
Prof. Tsachy Weissman, EE
tsachy@stanford.edu
Focus Area:
Computation for Data Analytics
Exploring the accuracy of quantum simulators for quantum chemistry and developing new algorithms for quantum chemistry on quantum computers
Fellow:
Advisor:
Prof. Todd Martinez, Chemistry
Todd.Martinez@stanford.edu
Focus Area:
Photonic and Quantum Technologies
Acoustic Emission Characterization of Thin Films
Fellow:
Advisor:
Prof. Debbie Senesky, Aero/Astro
dsenesky@stanford.edu
Focus Area:
AMEND
III-V High Electron Mobility Sensors
Fellow:
Anand Vikas Lalwani
Advisor:
Prof. Debbie Senesky, Aero/Astro
dsenesky@stanford.edu
Focus Area:
Energy/Power Management Systems
Thermal management
Fellows:
Mohamadali Malakoutian
Advisor:
Prof. Srabanti Chowdhury, EE
srabanti@stanford.edu
Focus Area:
Energy/Power Management Systems
SiC, GaN and Si technology comparison for high power RF plasma generators
Fellow:
Zikang Tong & Zhechi Ye
Advisor:
Prof. Juan Rivas, EE
jmrivas@stanford.edu
Focus Area:
Energy/Power Management Systems
BEOL-compatible MOCVD of MoS2
Fellow:
Advisor:
Prof. Eric Pop, EE
epop@stanford.edu
Focus Area:
AMEND
Studying circuit design for neuromorphis computing using emerging memory devices
Fellow:
Shuhuan Liu
Advisor:
Prof. H.S.Philip Wong, EE
hspwong@stanford.edu
Focus Area:
Computation for Data Analytics
AIOps Research
Fellows:
Akshay Agrawal & Shane Barratt
Advisor:
Prof. Stephen Boyd, EE
stephen.boyd@stanford.edu
Focus Area:
Internet of Everythning/Computation for Data Analytics
Pattern and anomaly detection in financial data
Fellows:
Advisor:
Prof. Markus Pelger, MS&E
mpelger@stanford.edu
Focus Area:
Computation for Data Analytics
Focusing on the issue of accurate and efficient object segmentation from video sequences
Fellow:
Junyoung Gwak
Advisor:
Prof. Silvio Savarese, CS
ssilvio@stanford.edu
Focus Area:
Robotics and Autonomous Systems
The modeling and understanding high frequency losses in SiC and GaN devices
Fellow:
Jia Zhuang
Advisors:
Prof. Juan Rivas, EE
jmrivas@stanford.edu
Prof. Jim Plummer, EE
plummer@stanford.edu
Focus Area:
Energy/Power Management Systems
Mixed-Signal Deep Neural Networks
Fellow:
Rohan Doshi
Advisors:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Computation for Data Analytics
Wirelessly powered implantable ultrasonic imager
Fellow:
Ahmed Sawaby and Geneva Ecola
Advisor:
Prof. Amin Arbabian, EE
arbabian@stanford.edu
Focus Area:
Internet of Everything
Cortisol Sensing
Fellow:
Jaeho Park
Advisor:
Prof. Zhenan Bao, Chemical Engineering
zbao@stanford.edu
Focus Area:
Internet of Everything
Agile Hardware
Fellows:
Gedeon Kabuya Nyengele
Advisor:
Prof. Mark Horowitz, CS&EE
horowitz@ee.stanford.edu
Focus Area:
Design Productivity
QED Evaluation
Fellow:
Advisors:
Prof. Clark Barrett, CS
barrettc@stanford.edu
Prof. Subhasish Mitra, EE & CS
subh@stanford.edu
Focus Area:
Design Productivity/Computation for Data Analytics
Toward 2D-FETs with sub-1 nm EOT
Fellow:
Alwin Daus & Jung-Soo Ko
Advisor:
Prof. Eric Pop, EE
epop@stanford.edu
Focus Area:
Heterogeneous Integration
Surface engineering for selective deposition
Fellow:
Advisor:
Prof. Stacey Bent, MSE
sbent@stanford.edu
Focus Area:
AMEND
Low-jitter ADC's using Heterogeneous Integration
Fellow:
Advisors:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Heterogeneous Integration
High density power converters with Piezo-electric resonators
Fellow:
Weston Braun
Advisor:
Prof. Juan Rivas-Davila, EE
jmrivas@stanford.edu
Focus Area:
Energy/Power Management Systems
Optimal computing organization - 3D vs 2D - for specific computing domains
Fellows:
Guénolé Lallement & Massimo Giordano
Advisors:
Prof. Subhasish Mitra, EE & CS
subh@stanford.edu
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Computation for Data Analytics
Bio and magnetic interfaces
Fellow:
Advisor:
Prof. Shan Wang, MSE & EE
sxwang@stanford.edu
Focus Area:
Bio Interfaces
RRAM Characterization for Deep Learning
Fellow:
Advisor:
Prof. Boris Murmann, EE
murmann@stanford.edu
Focus Area:
Computation for Data Analytics
