SystemX is continuing Stanford’s successful tradition of "FMA" (Fellow-Mentor-Advisor) relationships, in which 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." SystemX can set up a new FMA research relationship with any professor at Stanford whose research falls within our general areas of interest.
Current FMA Projects for 2017-2018:
Design of a Robust, Low Power, Continuous Heart Rate Monitoring System
Fellow:
Advisor:
Focus Area:
Energy/Power Management Systems
Silicon-based Vapor chamber Heat Spreader Design and Fabrication
Fellows:
Advisor:
Focus Area:
Heterogeneous Integration
Conversion of self-assembled monolayers into graphene: study of the relationship between molecular design, surface coverage, and graphene thickness
Fellow:
Tzu-Ling Liu
Advisor:
Focus Area:
Internet of Everything
Exploring the use of modulation, bias schemes, and nonlinearities to improve the performance and stability of MEMS gyroscopes built in our encapsulation process
Fellow:
David Heinz
Advisor:
Focus Area:
Internet of Everything
Designing a high-efficiency RF power amplifier for plasma generation
Fellow:
Advisor:
Focus Area:
Heterogeneous Integration
Thermo-electric conversion
Fellow:
Yucan Peng
Advisor:
Focus Area:
Heterogeneous Integration
Inverse design and implementation of efficient nanopotonic circuits on integrated silicon platform
Fellow:
Alex Piggott
Advisor:
Focus Area:
Photonic and Quantum Technologies
Contact resistance for high performance Ge CMOS technology
Fellows:
Pranev Ramesh and Junkyo Suh
Advisor:
Focus Area:
Herterogeneous Integration
Adaptive NB-IOT Antenna Interface Using Frequency Translated Mixed-Signal Baseband Impedances
Fellow:
Advisor:
Focus Area:
Internet of Everything
TinyML System for In-Sensor and Edge Computing
Fellow:
Advisor:
Focus Area:
Internet of Everything
Efficient object detection in video: from algorithms to architecture
Fellow:
Huizi Mao
Advisor:
III-V High Electron Mobility Sensors
Fellow:
Advisor:
Prof. Debbie Senesky, Aero/Astro
Focus Area:
Heterogeneous Integration
Ultra-sensitive transducer and microphone arrays for imaging and sensing applications
Fellow:
Advisor:
Focus Area:
Internet of Everything
Detecting and Explaining Anomalies in Test and Measurement
Fellow:
Advisor:
Focus Area:
Computation for Data Analytics
uW Imaging Using N7081a Microwave Transceiver
Fellow:
Yinuo Xu
Advisor:
Focus Area:
Internet of Everything
Integrated Potentiostat for Molecular Detection
Fellow:
Advisor:
Focus Area:
Bio Interfaces
Focusing on the issue of accurate and efficient object segmentation from video sequences
Fellow:
Advisor:
Focus Area:
Computation for Data Analytics
Exploring applications of Vanadium Oxides (VOx) - A Insulator-Metal Transition (IMT) Film
Fellow:
Stephanie Bohaichuk
Advisor:
Focus Area:
Heterogeneous Integration
Improving the efficiency of energy harvesting devices
Fellow:
Stephanie Hsu
Advisor:
Focus Area:
Bio Interfaces
Open-source high-speed serial link phy
Fellow:
Sung-Jin Kim
Advisor:
Focus Area:
Design Productivity
Reliable Reinforcement Learning for Autonomous Driving
Fellow:
Advisor:
Prof. Mykel Kochenderfer, Aero/Astro
Focus Area:
Computation for Data Analytics
Efficient Reinforcement Learning for Human-in-the-loop SoC Engineering Problems
Fellow:
Ramtin Keramiti
Advisor:
Focus Area:
Computation for Data Analytics
Analog-to-Information Converter Front-End Circuit Design
Fellow:
Advisor:
Focus Area:
Bio Interfaces
Compact high conversion ratio bidirectional dc-dc converter
Fellow:
Advisor:
Focus Area:
Energy/Power Management Systems
Bio and magnetic interfaces
Fellow:
Neeraja Ravi
Advisor:
Focus Area:
Bio Interfaces
Optimal computing organization - 3D vs 2D - for specific computing domains
Fellow:
Haitong Li & William Hwang
Advisors:
Prof. H.-S. Philip Wong, EE
& Prof. Subhasish Mitra, EE & CS
Focus Area:
Heterogeneous Integration
Analog layout automation
Fellow:
Advisor:
Focus Area:
Design Productivity
