Energy/Power Management Systems
| Advisor | Student Name | Poster Title | |
|---|---|---|---|
| Prof. Juan Rivas-Davila | Sanghyeon Park | Miniature High-Voltage DC-DC Power Converters for Micro-Robotic Applications | |
| Jiale Xu | MHz DC-DC converter for automotive applications | ||
| Prof. Debbie Senesky | Savannah Benbrook | Extreme Temperature Lithium Niobate Resonators | |
| Seungbin Jeong | P-GaN/AlGaN/GaN Normally-off HEMT for High-temperature Circuits | ||
| Prof. Srabanti Chowdhury | Ke Zeng | GaN for High-Power Switching applications |
AMEND
| Advisor | Student Name | Poster Title | |
|---|---|---|---|
| Prof. Krishna Saraswat | Junkyo Suh | 3D-stacked Strained SiGe/Ge Gate-All-Around (GAA) FETs | |
| Aravindh Kumar Marc Jaikissoon |
Low resistance n-type contacts to MoS2 | ||
| Pranav Ramesh | Low Resistance Contacts to n-Germanium | ||
| Prof. Paul McIntyre | Siying Peng | Mid-infrared emission and absorption from GeSn/Ge core-shell nanowires with nanophotonic light extraction | |
| Prof. Philip Wong | Qing Lin | Low-dimensional Heterostructures: Conformal CVD Growth of hBN on CNTs | |
| Prof. Srabanti Chowdhury | Maliha Noshin Rafael Perez |
Novel Devices and Thermal Management With Wide Bandgap Materials | |
| Jaeyi Chun | GaN for Radiofrequency Applications | ||
| Prof. Eric Pop | Isha Datye | Improving the Performance of MoS2 Transistors using Tensile Strain | |
| Kirstin Schauble | Uncovering the Effects of Metal Contacts on Monolayer MoS2 | ||
| Connor Bailey | Ultra-Low Off-State Leakage Current in Monolayer Transition Metal Dichalcogenide Transistors |
Computation for Data Analytics
| Advisor | Student Name | Poster Title | |
|---|---|---|---|
| Prof. Christopher Ré | Tri Dao | Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps | |
| Prof. Christos Kozyrakis | Francisco Alejandro Romero Qian Li |
INFaaS: Model-less Inference Serving | |
| Prof. Kunle Olukotun | Matthew Vilim | Gorgon: Accelerating Machine Learning from Relational Data | |
| Weier Wan | CMOS-RRAM Neurosynaptic Core for Reconfigurable and Energy-Efficient In-Memory Computing | ||
| Prof. Boris Murmann | Danny Bankman | RRAM-Based In-Memory Computing for Deep Neural Network Inference at the Edge |
Date and Time:
Thursday, November 21, 2019 - 10:00am
