Suyeon Jang (2022)
Dept. of Electronic and Information Engineering Seoul National University of Science and Technology
232 Gongneung-ro, Nowon-gu, 01811, Seoul, KOREA
jangsuyeon
seoultech.ac.kr
Education & Experiences
Ph.D.Student, University of California, Irvine (UCI)
Researcher, Electronics and Telecommunications Research Institute (ETRI)
2022.02, Master of Science in Electronic Engineering, Seoul National University of Science and Technology.
- Thesis Title : "Multiple Artificial Intelligence Module Architecture and Platform for Federated System"
2022.02, M.S. in Electronic Engineering, The Gradaute School, Seoul National University of Science and Technology.
2020.02 - B.S. in Electronic Engineering, Seoul National University of Science and Technology.
2018.03 - 2022.02, Research Assistant, SoC Platform Lab, Seoul National University of Science and Technology.
Researcher, Electronics and Telecommunications Research Institute (ETRI)
2022.02, Master of Science in Electronic Engineering, Seoul National University of Science and Technology.
- Thesis Title : "Multiple Artificial Intelligence Module Architecture and Platform for Federated System"
2022.02, M.S. in Electronic Engineering, The Gradaute School, Seoul National University of Science and Technology.
2020.02 - B.S. in Electronic Engineering, Seoul National University of Science and Technology.
2018.03 - 2022.02, Research Assistant, SoC Platform Lab, Seoul National University of Science and Technology.
Research Interests
System-on-Chip Design(SoC), Computer Architecture
Stochastic Computing
Digital System Design
Stochastic Computing
Digital System Design
Projects
- Developed proximity/healthcare convergence sensor SoC for TWSMinistry of Trade, Industry and Energy, Korea, 2021-2023.
- Next-Generation System Semiconductor Design Engineer Development ProgramMinistry of Trade, Industry and Energy, Korea, 2021-2026.
- Development of Embedded Artificial Intelligence Module and System Based on NeuromorphicMinistry of Trade, Industry and Energy, Korea, 2019-2021.
- Multi-core Hardware Accelerator for High-Performance Computing (HPC)Ministry of Science and ICT, Korea, 2019-2022.
- Development of Independent Workable low-power Embedded Artificial Intelligent Module and Navigation Application ServiceMinistry of Trade, Industry and Energy, Korea, 2017-2020.
- Development of Light-weight SW-SoC Solution for Respiratory Medical DeviceMinistry of Trade, Industry and Energy, Korea, 2017-2020.
Publications
International Journals
- 1 A Multi-Core Controller for an Embedded AI System Supporting Parallel RecognitionMicromachines · Vol. 12 · No. 852 · Jul. 2021
International Conferences
- 4 [Poster] "An Architecture for Resilient Federated Learning through Parallel RecognitionThe 31st International Conference on Parallel Architectures and Compilation Techniques (PACT) · Chicago · Oct. 2022
- 3 Intelligent Transportation System based on an Edge AI14th International Conference on Future Information & Communication Engineering (ICFICE) · Jeju · Apr. 2022
- 2 Stochastic Computing based AI System for Mobile Devices38th IEEE International Conference on Consumer Electronics (ICCE) · Las Vegas · Jan. 2020
- 1 Flexible Embedded AI System with High-speed Neuromorphic Controller16th International SoC Design Conference (ISOCC) · Jeju · Oct. 2019
Korean Journals
- 1
Chips
2021
A Low Power Embedded AI System for Machine Learning
Suyeon Jang, Wonsik Jeong, Changyeop Han, Donghyun Hwang, Seung Eun LEE
- Tech
- Samsung 28nm CMOS (1-poly 8-metal)
- Tape-out
- 2021.07.19
- Core
- 2mm x 4mm
- Power
- 1.2V
2020
A Low Cost and Low Power Neuromorphic Core for Embedded AI System
Suyeon Jang, Younghyun Yoon, Changyeop Han, Seung Eun LEE
- Tech
- Samsung 65nm RFCMOS (1-poly 8-metal)
- Tape-out
- 2020.05.25
- Core
- 4mm x 4mm
- Power
- 1.2V
2019
Stochastic Computing based Machine Learning for Embedded System
Suyeon Jang, Changyeop Han, Jeong Bum Kim, Seung Eun LEE
- Tech
- Magnachip hynix 0.18um CMOS
- Tape-out
- 2019.11.25
- Core
- 3.4mm x 3.4mm
- Power
- 3.3V
High-Speed Neuromorphic Network Controller for Multiple Neuro-Memories Processing
Doyoung Choi, Younghyun Yoon, Suyeon Jang, Seung Eun LEE
- Tech
- Magnachip hynix 0.35um CMOS
- Tape-out
- 2019.06.10
- Core
- 5mm x 4mm
- Power
- 3.3V
A Low Power AI Processor for face expression recognition based on k-NN and RBF
Younghyun Yoon, Suyeon Jang, Changyeop Han, Gwanbeom Hwang, Seung Eun LEE
- Tech
- Magnachip hynix 0.35um CMOS
- Tape-out
- 2019.01.14
- Core
- 5mm x 4mm
- Power
- 3.3V
Chip Design Contest
- 3. "A Low Cost and Low Power Neuromorphic Core for Embedded AI System",
Suyeon Jang, Jeong Eun Kim, Young Hyun Yoon, Chang Yeop Han, and Seung Eun LEE,
18th International SoC Design Conference (ISOCC 2021), Jeju, Korea (Hybrid Conference), Oct. 2021. - 2. "Stochastic Computing based Machine Learning for Embedded System",
Su Yeon Jang, Chang Yeop Han, Young Hyun Yoon, and Seung Eun LEE,
2021 IDEC Congress, Daejeon, Korea (Virtual Event), June. 2021. - 1. "A Low Power AI Processor for Face Expression Recognition based on k-NN and RBF",
Young Hyun Yoon, Su Yeon Jang, Gwan Beom Hwang, Kwon Neung Cho, and Seung Eun LEE,
2020 IDEC Congress, Daejeon, Korea (Virtual Event), Jul. 2020.
Presentations
- 1. "Stochastic Computing based AI System for Mobile Devices",
International Conference on Consumer Electronics (ICCE 2020), Las Vegas, NV, USA, Jan. 2020.
Awards
- 2019.11.13. 2019 The Graduation Exhibition of Electronic Engineering - Grand Prize[view]
Skills
Hardware description language : Verilog-HDL
FPGA design tools : Vivado, Quartus II
Simulator : ModelSim, VCS, Xcelium
EDA tools : Design Compiler, Astro, IC Compiler I/II, Prime Time, StarRCXT
PCB design tools : ORCAD Pspice Designer, Allegro PCB Designer
Training
2021.05.07, 05.14 - Hardware Accelerator Architecture for Artificial Neural Networks, IDEC, Hanyang Univ.
2020.08.10-08.14 - [IDEC Researer Training] Cell-based Design Flow, IDEC.
2019.11.26-11.29 - [IDEC Researer Training] Cell-based Design for Samsumg 28nm Process, IDEC.
2019.03.04-03.08 - [IDEC Researer Training] Cell-based Design Flow, IDEC.
2019.02.11-02.12 - Design and Utilization of SoC Platform based on Cortex-M0 DesignStart, IDEC, Kwangwoon Univ.
2019.01.21-01.31 - Automotive Semiconductor Expert Training[Advanced Course], KSIA, Infineon.
2019.01.07-01.18 - Automotive Semiconductor Expert Training[Basic Course], KSIA, Infineon.
2018.08.10-08.14 - Full Custom Design Training, IDEC, Kwangwoon Univ.
2018.07.19 - MPW Design Training, IDEC.
2018.07.02-07.04 - 스마트 모바일 AP 구조 및 주변장치 응용, IDEC, Kwangwoon Univ.
2020.08.10-08.14 - [IDEC Researer Training] Cell-based Design Flow, IDEC.
2019.11.26-11.29 - [IDEC Researer Training] Cell-based Design for Samsumg 28nm Process, IDEC.
2019.03.04-03.08 - [IDEC Researer Training] Cell-based Design Flow, IDEC.
2019.02.11-02.12 - Design and Utilization of SoC Platform based on Cortex-M0 DesignStart, IDEC, Kwangwoon Univ.
2019.01.21-01.31 - Automotive Semiconductor Expert Training[Advanced Course], KSIA, Infineon.
2019.01.07-01.18 - Automotive Semiconductor Expert Training[Basic Course], KSIA, Infineon.
2018.08.10-08.14 - Full Custom Design Training, IDEC, Kwangwoon Univ.
2018.07.19 - MPW Design Training, IDEC.
2018.07.02-07.04 - 스마트 모바일 AP 구조 및 주변장치 응용, IDEC, Kwangwoon Univ.
Courses
Computer Programming(C Programming), Engineering Mathmatics,
Electromagnetics, Electronic Circuit Theory, Electricity and Electronic Experiment,
Logic Circuit, Signal System, Computer Architecture, Mobile Programming,
Computer Applicaton System Design, Semiconductor Engineering, Microprocessor,
Control Engineering, Electronic Circuits,
Application of Microprocessor, Advanced Semiconductor Devices,
Digital Signal Processing and Applications, Operating System, Internet Protocol,
Machine Learning, Capstone Design(1), Integrated Circuit, Capstone Design(2)
Electromagnetics, Electronic Circuit Theory, Electricity and Electronic Experiment,
Logic Circuit, Signal System, Computer Architecture, Mobile Programming,
Computer Applicaton System Design, Semiconductor Engineering, Microprocessor,
Control Engineering, Electronic Circuits,
Application of Microprocessor, Advanced Semiconductor Devices,
Digital Signal Processing and Applications, Operating System, Internet Protocol,
Machine Learning, Capstone Design(1), Integrated Circuit, Capstone Design(2)