Tianen Chen

Position title: Ph.D. Student
NSF Graduate Fellow

Email: tianen.chen@wisc.edu

Biography

I received my BA in Physics from Carleton College and a BS in Electrical Engineering from Columbia University in the City of New York. Currently, I am a PhD student in Electrical and Computer Engineering at UW-Madison in the WISEST lab.

Education

  • University of Wisconsin-MadisonMadison, WI
    • PhD in Electrical and Computer Engineering
  • Columbia UniversityNew York, NY
    • BS in Electrical Engineering
  • Carleton CollegeNorthfield, MN
    • BA in Physics

Research Interests

  • Machine learning
  • Approximate computing
  • Low power embedded systems
  • Internet of things

Awards and Honors

  • IWLS Programming Contest First Place2021
  • Intel Distinguished Invention Award, 2020
  • NSF GRFP Fellow, 2020
  • Qualcomm Innovation Fellowship Finalist, 2020
  • Foxconn “Smart Cities-Smart Futures” Competition Final Winner for “ReadyVue” proposal, 2020
  • Student Research Conference Grant Award, 2019 & 2020
  • Foxconn “Smart Cities-Smart Futures” Competition Final Winner for “Nightshift” proposal, 2019
  • Richard Newton Young Student Fellowship, 2019
  • Wisconsin Distinguished Fellowship Award, 2018
  • Cum Laude honors at Columbia University2018
  • NABC Honors Court2016

Published Papers:

SynthNet: A High Throughput yet Energy-efficient Combinational Logic Neural Network
Tianen Chen, Taylor Kemp, and Younghyun Kim
ASPDAC, (Asia and South Pacific Design Automation Conference), 2022

Approximate Hardware Techniques for Energy-Quality Scaling Across the System
Younghyun Kim, Joshua San Miguel, Setareh Behroozi, Tianen Chen, Kyuin Lee, Yongwoo Lee, Jingjie Li, and Di Wu
ICEIC, (International Conference on Electronics, Information, and Communication), 2020

SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization
Di Wu, Tianen Chen, Chienfu Chen, Oghenefego Ahia, Joshua San Miguel, Mikko Lipasti, and Younghyun Kim
ISLPED, (International Symposium on Low-Power Electronics and Design), 2019

Research Experience:

  • Doctoral Research Assistant, WISEST Lab, University of Wisconsin-Madison (September 2018 – present).
  • Undergraduate Research Assistant, Sickles lab for Nuclear Physics, University of Illinois, Champaign, Illinois (Summer 2016).
  • Undergraduate Research Assistant, Cyclotron Institute for Nuclear Physics, Ko lab, College Station, Texas (Summer 2015).

Demos:

n-hot Weight Quantization and Approximate Multiplication for Low-Power Machine Learning
Tianen Chen, John Rupel, Ammar Mahmood, Luciano Ricotta, Younghyun Kim, Joshua San Miguel
ISLPED, (International Symposium on Low-Power Electronics and Design), 2020

Industry Experience:

  • Datapath Intern, Intel Technologies, Folsom, California (Summer 2020)
  • CAD Photolithography Intern, Seagate Technologies, Bloomington, Minnesota (Summer 2017)
  • Morgridge Entrepreneurship Bootcamp, UW-Madison, Madison, Wisconsin (Summer 2018)

Services

  • External reviewer:
    • DAC, 2020
    • DAC, 2019
    • SAC, 2018
    • ISLPED, 2019