Jihye Kwon

Jihye Kwon

Hi! I am a PhD Candidate in Computer Science
at Columbia University in the City of New York.
My research centers on leveraging machine learning
to aid the design optimization of computer systems.
I have received the Presidential Fellowship
from Columbia University.

My Q&A story can be found here.

Email: <firstname><lastname>@cs.columbia.edu

Other links:

Remebering Davide


Columbia University

2022 | PhD Candidate in Computer Science
2018 | Master of Philosophy
Advisor | Prof. Luca P. Carloni
Member of System-Level Design Group
Thesis | Machine Learning for AI-Augmented Design Space Exploration of Computer Systems

Coursework | System-on-Chip Platforms; Embedded Scalable Platform; Advanced Cryptography; Introduction to Computational Learning Theory; Neural Networks and Deep Learning; Foundations of Graphical Models; Natural Language Processing; Frontiers of Computational Journalism

Seoul National University

2014 | MS in Computer Science and Engineering
Advisor | Prof. Chang-Gun Lee
Thesis | Scheduling Algorithms for Parallel Real-Time Tasks with Multiple Parallelization Options on Multicore/GPGPU System

Coursework | Real-Time Systems; Distributed Systems; Digital Systems Design Methodology; Computer Modeling; Machine Learning; Advanced Theory in Computation; Topics in Theory of Computation; Topics in Real-Time Systems; Topics in Algebra

Seoul National University

2012 | BS in Mathematical Sciences
Minor | Computer Science and Engineering
with Cum Laude

Selected coursework | Computer Architecture; Computer Programming; System Programming; Data Structures; Logic Design; Automata Theory; Statistics; Number Theory; Modern Algebra; Introduction to Topology; Discrete Mathematics; Algebraic Coding Theory; Game Theory and Its Application


Columbia University (September 2014 to Present)

Graduate Research Assistant

  • High-level synthesis and design-space exploration of specialized hardware accelerators using commercial tools (Cadence CtoS, Cadence Stratus, Xilinx Vivado HLS)
  • Optimization and enhanced design-space exploration of computer systems via machine learning and multi-party collaboration
  • Co-design of a next-generation computing system with silicon photonics and electronic circuitry for deep learning applications

IBM TJ Watson Research Center (Summer 2015, 2016, and 2017)

Research Summer Intern

  • Data analytics on the archive containing the computer-aided design (CAD) tool configurations and the quality-of-results (timing, power, congestion) of implementations
  • Multi-objective design quality prediction via machine learning for logic synthesis and physical design of macro blocks in modern high-performance processors
  • Development of parameter configuration recommender system for industrial VLSI CAD flows, to aid the design space exploration of each macro block, using the above design quality prediction model

Seoul National University (March 2012 to August 2014)

Graduate Research Assistant

  • Scheduling problem formulation and proposal of an optimal algorithm for multicore/ GPGPU-based future cyber-physical systems (supported by Ministry of Education, Science and Technology of ROK)
  • Resource optimization problem formulation and proposal of a heuristic algorithm for smartphone-centric multiple-applications multiple-screens services (in collaboration with S-Core Co., Ltd.)
  • Improvement of an indoor location tracking algorithm for the project Development of Digital Guardian Technology for the Disabled and the Aged Person (supported by Ministry of Knowledge Economy of ROK)

SRI International (September 2013)

International Fellow

  • Test and verification of the Networked-CPS framework and Swarm Mission application for the NSF project Logical Framework for Self-Optimizing Networked Cyber-Physical Systems




Teaching Assistant

Columbia University

  • Fall 2016 System-on-Chip Platforms (CSEE E4868)
  • Fall 2015 System-on-Chip Platforms (CSEE E6868)
  • Fall 2015 Introduction to Computational Learning Theory (COMS W4252)

Seoul National University

  • Spring 2013 Logic Design Lab (4190.202A)
  • Spring 2013 Logic Design (4190.201)
  • Spring 2012 Logic Design (4190.201)

Community Service

Womxn in Computer Science, Columbia University

  • Academic Chair (Fall 2017 - Spring 2019)
  • Organizing academic events, speaking on panels, launching Lightning Talk Series

Department of Computer Science, Columbia University

  • Colloquium Organizer (Fall 2016)
  • Marketing distinguished lectures and departmental lectures

Mathematical Newsletter, Seoul National University

  • Reporter (September 2008 to February 2010)
  • Interviewing and writing articles about professors, alumni, students, and events

Honors and Awards

  • Best Paper Award, 2020 ACM/IEEE Workshop on Machine Learning for CAD (November 2020)
  • Computer Science Service Award, Columbia University (April 2018)
  • ACM SIGBED CPSWeek 2015 Student Travel Grant (April 2015)
  • SEAS Presidential Fellowship, Columbia University (Fall 2014)
  • Best Paper Award, Korea Computer Congress 2012 (June 2012)
  • BK21 Scholarship, Seoul National University (2012)
  • Superior Academic Performance Scholarship, Seoul National University (Spring 2010)
  • Mirae Asset Park Hyeon Joo Foundation Scholarship (2009)
  • Wolak Scholarship Foundation Scholarship (Fall 2008)