Eunjin Baek (백은진)

Experience/Employment

• MangoBoost Inc., Seoul, South Korea
  - System Architect
  • Jan, 2022 ~ Current


• Samsung Semiconductor Inc., San Jose, CA
  - Research Intern, Memory Solutions Lab
  • Feb. 2020 - Oct. 2020

Research Interests

• Computer Architecture & System
• Artificial Neural Network (DNN/SNN/TNN)
• Machine Learning Systems and Accelerator Architectures
• Neuromorphic Systems for Brain Simulation Accelerators

Education

• Seoul National University (SNU), Seoul, South Korea
  • Ph.D. Student in Electrical and Computer Engineering (ECE)
  • Advisor: Prof. Jangwoo Kim
  • Sep. 2017 – Aug. 2023


• RWTH Aachen University, Aachen, Germany
  • Exchange Student
  • Oct. 2015 – Feb. 2016


• POSTECH, Pohang, South Korea
  • B.S. in Computer Science and Engineering (CSE)
  • Mar. 2012 – Feb. 2017

Publications

• F4T: A Fast and Flexible FPGA-based Full-stack TCP Acceleration Framework
  Junehyuk Boo, Yujin Chung, Eunjin Baek, Seongmin Na, Changsu Kim, and Jangwoo Kim
  ACM/IEEE International Symposium on Computer Architecture (ISCA), Jun. 2023
  Architecture System Network FPGA
  

• STfusion: Fast and Flexible Multi-NN Execution using Spatio-Temporal Block Fusion and Memory Management
  Eunjin Baek, Eunbok Lee, Taehun Kang, and Jangwoo Kim
  IEEE Transactions on Computers, April. 2023
  Architecture AI/Deep Learning
  

• An Accurate and Fair Evaluation Methodology for SNN-Based Inferencing with Full-Stack Hardware Design Space Explorations
  Hunjun Lee, Chanmyeong Kim, Seungho Lee, Eunjin Baek, and Jangwoo Kim
  Neurocomputing, Sep 2021.
  Architecture Neuromorphic
  

• DiFuzzRTL: Differential Fuzz Testing to Find CPU Bugs
  Jaewon Hur, Suhwan Song, Dongup Kwon, Eunjin Baek, Jangwoo Kim, and Byoungyoung Lee
  IEEE International Symposium on Security and Privacy (S&P), May 2021
  Architecture Security
  

• A Multi-Neural Network Acceleration Architecture
  Eunjin Baek, Dongup Kwon, and Jangwoo Kim
  ACM/IEEE International Symposium on Computer Architecture (ISCA), Jun. 2020
  Architecture AI/Deep Learning
  

• FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning
  Eunjin Baek, Hunjun Lee, Youngsok Kim, and Jangwoo Kim
  52nd IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2019
  Architecture Neuromorphic
  

Honors and Awards

• National Science and Engineering Scholarship
  
  • Korea Student Aid Foundation (KOSAF)
  • 2012 - 2016
  • Full tuition scholarship


• 6th place @ 2014 ACM International Collegiate Programming Contest (ICPC) – Daejeon Site


• Silver Prize @ The 10th Nation-wide Undergraduate Programming Contest

Teaching Experience

• International Olympiad in Informatics (IOI) Training Camp in Korea, Coach (2013 - 2015)


• Korea Olympiad in Imformatics (KOI), Problem Setter (2015)


• POSTECH Programming Contest (PPC), Judge (2015)


• Teaching Assistant
  • (Fall 2017) ECE201 Digital System Design and Lab, SNU
  • (Spring 2018) ECE322 Computer Organization, SNU
  • (Fall 2018) ECE636 Advanced Computer Architecture, SNU
  • (Fall 2019) ECE201 Digital System Design and Lab, SNU