Jihye Kwon

Education

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

Research

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

Publications

Matthew M. Ziegler, Jihye Kwon, Hung-Yi Liu, and Luca P. Carloni, Online and Offline Machine Learning for Industrial Design Flow Tuning: (Invited-ICCAD Special Session Paper), in IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021.

Joseph Zuckerman, Davide Giri, Jihye Kwon, Paolo Mantovani, and Luca P. Carloni, Cohmeleon: Learning-Based Orchestration of Accelerator Coherence in Heterogeneous SoCs, in IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 350-365, 2021.

Lorenzo Ferretti, Jihye Kwon, Giovanni Ansaloni, Giuseppe Di Guglielmo, Luca P. Carloni, and Laura Pozzi, DB4HLS: A Database of High-Level Synthesis Design Space Explorations, in IEEE Embedded Systems Letters, vol. 13, no. 4 (2021): 194-197.

Jihye Kwon and Luca P. Carloni, Transfer Learning for Design-Space Exploration with High-Level Synthesis, in ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), pp. 163-168. 2020. (Best Paper Award)

Lorenzo Ferretti, Jihye Kwon, Giovanni Ansaloni, Giuseppe Di Guglielmo, Luca P. Carloni, and Laura Pozzi, Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11 (2020): 3736-3747.

Ziyi Zhu, Giuseppe Di Guglielmo, Qixiang Cheng, Madeleine Glick, Jihye Kwon, Hang Guan, Luca P. Carloni, and Keren Bergman, Photonic Switched Optically Connected Memory: An Approach to Address Memory Challenges in Deep Learning, in Journal of Lightwave Technology, vol. 38, no. 10 (2020): 2815-2825.

Qixiang Cheng, Jihye Kwon, Madeleine Glick, Meisam Bahadori, Luca P. Carloni, and Keren Bergman, Silicon Photonics Codesign for Deep Learning, in Proceedings of the IEEE, vol. 108, no. 8 (2020): 1261-1282.

Luca P. Carloni, Emilio G. Cota, Giuseppe Di Guglielmo, Davide Giri, Jihye Kwon, Paolo Mantovani, Luca Piccolboni, and Michele Petracca, Teaching Heterogeneous Computing with System-Level Design Methods, in Workshop on Computer Architecture Education, 2019.

Jihye Kwon, Matthew M. Ziegler, and Luca P. Carloni, A Learning-Based Recommender System for Autotuning Design Flows of Industrial High-Performance Processors, in ACM/IEEE Design Automation Conference (DAC), 2019.

Matthew M. Ziegler, Hung-Yi Liu, George Gristede, Bruce Owens, Ricardo Nigaglioni, Jihye Kwon, and Luca P. Carloni, SynTunSys: A Synthesis Parameter Autotuning System for Optimizing High-Performance Processors, in Machine Learning in VLSI Computer-Aided Design, pp. 539-570. Springer, 2019.

Kang-Wook Kim, Jihye Kwon, Chang-Gun Lee, and Junghee Han, Accurate Indoor Location Tracking Exploiting Ultrasonic Reflections, in IEEE Sensors Journal, vol. 16, no. 24, pp. 9075-9088, 2016.

Jihye Kwon, Kang-Wook Kim, Sangyoun Paik, Jihwa Lee, and Chang-Gun Lee, Multicore Scheduling of Parallel Real-Time Tasks with Multiple Parallelization Options, in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2015.

Oh-Chul Kwon, Jihye Kwon, and Chang-Gun Lee, Optimal Resource Management for Utilizing External Display Devices on Smartphones, in SK Telecom Telecommunications Review, 2013.

Jihye Kwon and Chang-Gun Lee, An Approach to Optimize Initial Offsets of Periodic Tasks in Real-Time Systems, in Korea Computer Congress, 2012. (Best Paper Award)

Activities

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)

Education

Columbia University

Seoul National University

Seoul National University

Research

Columbia University (September 2014 to Present)

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

Seoul National University (March 2012 to August 2014)

SRI International (September 2013)

Publications

Activities

Teaching Assistant

Community Service

Honors and Awards

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