교원소개

지능형 시스템 연구실에서는 인공지능 시스템을 제작하여, 자율주행 드론/자동차에서부터 IoT까지 일상생활에 인공지능을 적용하는 것을 목표로 연구합니다. AI 시스템은 진보된 디지털 VLSI와 아날로그-디지털 혼성 회로를 구현하여 칩으로 제작합니다. 우리는 딥러닝뿐만 아니라 포괄적인 AI SoC를 제작하는 세계 최고의 연구를 도모하고 있습니다. 또한 사람의 뇌를 모방한 초저전력 뉴로몰픽 프로세서, Network-on-Chip, Quantum Computing, Security IC 등 광범위한 분야에서 최고 수준의 연구를 수행합니다.

[Curriculum Vitae]

● 2022-Present: Associate Professor, Department of EE & AIGS, UNIST
● 2018-2022: Assistant Professor, Department of EE & AIGS, UNIST
● 2017-2018: Post-doc researcher, KAIST
● 2016: Hardware Designer, Samsung Research America, TX, USA

[Education]

● 2017: Ph.D. in Electrical Engineering, KAIST
● 2014: M.S. in Electrical Engineering, KAIST
● 2012: B.S. in Electrical Engineering, KAIST
● 2008: Hansung Science High School (2-year accelerated graduation)

[Research  Keywords and Topics]

AI System-on-Chip, Deep Learning Processor, Neuromorphic Chip, Processing-in-Memory, Network-on-Chip, AI Embedded Systems, Automotive systems, Digital Circuits, Mixed-mode Circuits, Quantum Computing Circuits, Security IC

[Publications (selected)]

[International Publications]

● Keonhee Park, Hoichang Jeong, and Kyuho Lee, “A 701.7 TOPS/W Time-Domain Spiking Neural Network Compute-In-Memory Processor with 9T1C Bitcell”, in Proceedings of IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Phoenix, AZ, USA, August, 2023.
● Hoichang Jeong, Keonhee Park, and Kyuho Lee, “A Ternary Neural Network Computing-in-Memory Processor with 16T1C Bitcell Architecture”, IEEE Transactions on Circuits and Systems II (T-CAS II): Express Briefs, vol. 70, no. 5, pp. 1739-1743, May 2023.
● Hoichang Jeong, Seungbin Kim, Keonhee Park, Jueun Jung, and Kyuho Lee, “A Ternary Neural Network Computing-in-Memory Processor with 16T1C Bitcell Architecture”, in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, May, 2023.
● Seungbin Kim, Jueun Jung, Wuyoung Jang, Hoichang Jeong and Kyuho Lee, “A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture Recognition”, in Proceedings of IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Korea, June, 2022.
● Jueun Jung, Seungbin Kim, Wooyoung Jang, Hoi-Chang Jeong, and Kyuho Lee, “An Energy-Efficient CNN Accelerator for Multi-object Real-Time Semantic Segmentation in Autonomous Vehicle”, in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, USA, May, 2022.
● Kyuho Lee, “Trends of Processors for AI Acceleration,” in Proceedings of the IEEE International SoC Design Conference (ISOCC), Jeju, Korea, October, 2021.
● Kyuho Jason Lee“Architecture of neural processing unit for deep neural networks”, Advances in Computers, Elsevier, vol. 122, pp. 217-245, April 2021.
● Kyuho Jason Lee, Jinmook Lee, Sungpill Choi, and Hoi-Jun Yoo, “The Development of Silicon for AI: Different Design Approaches”, IEEE Transactions on Circuits and Systems I (T-CAS I): Regular Papers, vol. 67, no. 12, pp. 4719-4732, December 2020.
● Jueun Jung and Kyuho Jason Lee, “An Energy-Efficient Deep Neural Network Accelerator Design”, in Proceedings of IEEE Asilomar Conference on Signals, Systems, and Computers (ACSSC), Asilomar, CA, USA, November, 2020.
● Sungpill Choi, Kyuho Jason Lee, Yongwoo Kim, and Hoi-Jun Yoo,“A 9.52 ms Latency, and Low-power Streaming Depth-estimation Processor with Shifter-based Pipelined Architecture for Smart Mobile Devices,” Journal of Semiconductor Technology and Science (JSTS), vol. 20, no. 3, pp. 255-270, June 2020.
● Taeho Seong, Yongsun Lee, Chanwoong Hwang, Jeonghyun Lee, Hangi Park, Kyuho Lee, and Jaehyouk Choi, “A -58dBc-Worst Fractional Spur and –234dB-FOMJIT, 5.5GHz-Ring-DCO-Based Fractional-NDPLL Using a Time-Invariant-Probability Modulator, Generating a Nonlinearity-Robust DTC-Control Word”, in Proceedings of IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, San Francisco, CA, USA, February, 2020.
● Jae Won Jeong, Young-Eun Choi, Woo-Seok Kim, Jee-Ho Park, Sunmean Kim, Sunhae Shin, Kyuho Lee, Jiwon Chang, Seong-Jin Kim, and Kyung Rok Kim, “Tunnelling-based ternary metal-oxide-semiconductor technology”, Nature Electronics (Nat. Electron), vol. 2, pp. 307-312, July 2019.
● Kyuho Lee, Junyoung Park, and Hoi-Jun Yoo, “A Low-power, Mixed-mode Neural Network Classifier for Robust Scene Classification”, Journal of Semiconductor Technology and Science (JSTS), vol. 19, no. 1, pp. 129-136, February 2019.
● Sungpill Choi, Jinsu Lee, Kyuho Lee, and Hoi-Jun Yoo, “A 9.02mW CNN-Stereo Based Real-Time 3D Hand Gesture Recognition Processor for Smart Mobile Devices”, in Proceedings of IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, pp. 220-221, San Francisco, CA, USA, February, 2018.
● Minseo Kim, Jaeeun Jang, Hyunki Kim, Jihee Lee, Jaehyuck Lee, Jiwon Lee, Kyungrog Lee, Kwante Kim, Yongsu Lee, Kyuho Jason Lee,and Hoi-Jun Yoo, “A 1.4mW-Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring System”, IEEE Journal of Solid-State Circuits (JSSC), vol. 52, no. 11, pp. 2829-2842, October 2017.
● Changhyeon Kim, Kyeongryeol Bong, Injoon Hong, Kyuho Lee, Sungpill Choi, and Hoi-Jun Yoo, “An Ultra-Low-Power and Mixed-Mode Event-Driven Face Detection SoC for Always-on Mobile Applications”, in Proceedings of IEEE European Solid-State Circuits Conference (ESSCIRC), pp. 255-258, Leuven, Belgium, September, 2017.
● Kyeongryeol Bong, Kyuho Lee, and Hoi-Jun Yoo, “A 590MDE/s Semi-Global Matching Processor with Lossless Data Compression”, in Proceedings of IEEE International System-on-Chip Conference (SOCC), Munich, Germany, September, 2017.
● Kyuho Lee, Gyeongmin Choe, Kyeongryeol Bong, Changhyeon Kim, In So Kweon, and Hoi-Jun Yoo, “A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera”, in Proceedings of International Conference on Computer Vision Systems (ICVS), Lecture Notes in Computer Science, vol. 10528, Springer, pp. 346-356, 2017.
● Minseo Kim, Unsoo Ha, Kyuho Jason Lee, Yongsu Lee, and Hoi-Jun Yoo, “A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC”, IEEE Journal of Solid-State Circuits (JSSC), vol. 52, no. 7, pp. 1953-1965, July 2017.
● Jinsu Lee, Dongjoo Shin, Kyuho Lee, and Hoi-Jun Yoo, “A 31.2pJ/disparity/pixel Stereo Matching Processor with Stereo SRAM for Mobile UI Application”, in Proceedings of IEEE Symposium on VLSI Circuits (S. VLSI) Digest of Technical Papers, pp. 158-159, Kyoto, Japan, June, 2017.
● Kyuho Jason Lee, Kyeongryeol Bong, Changhyeon Kim, Jaeeun Jang, Kyoung-Rog Lee, Jihee Lee, Gyeonghoon Kim, and Hoi-Jun Yoo, “A 502GOPS and 0.984mW Dual-mode Intelligent ADAS SoC with Real-Time Semi-Global Matching and Intention Prediction for Smart Automotive Black Box System”, IEEE Journal of Solid-State Circuits (JSSC), vol. 52, no. 1, pp. 139-150, January 2017.
● Changhyeon Kim, Kyeongryeol Bong, Sungpill Choi, Kyuho Jason Lee,and Hoi-Jun Yoo, “A CMOS Image Sensor-based Stereo Matching Accelerator with Focal-plane Rectification and Analog Census Transform”, IEEE Transactions on Circuits and Systems I (T-CAS I): Regular Papers, vol. 63, no. 12, pp. 2180-2188, December 2016.
● Minseo Kim, Unsoo Ha, Yongsu Lee, Kyuho Lee, and Hoi-Jun Yoo, “A 82nW Chaotic-Map True Random Number Generator Based on Sub-Ranging SAR ADC”, in Proceedings of IEEE European Solid-State Circuits Conference (ESSCIRC), pp. 157-160, Lausanne, Switzerland, September, 2016.
● Kyuho Lee, Kyeongryeol Bong, Changhyeon Kim, and Hoi-Jun Yoo, “An Intelligent ADAS Processor with Real-Time Semi-Global Matching and Intention Prediction for 720p Stereo Vision”, in Proceedings of IEEE Symposium on High Performance Chips (HOTCHIPS XXVIII), Cupertino, CA, USA, August, 2016.
● Kyuho Lee, Kyeongryeol Bong, Changhyeon Kim, Junyoung Park, and Hoi-Jun Yoo, “An Energy-Efficient Parallel Multi-Core ADAS Processor with Robust Visual Attention and Workload-Prediction DVFS for Real-Time HD Stereo Stream”, in Proceedings of IEEE Symposium in Low-Power and High-Speed Chips (COOLCHIPS XIX), Yokohama, Japan, April, 2016.
● Kyuho Lee, Kyeongryeol Bong, Changhyeon Kim, Jaeeun Jang, Hyunki Kim, Jihee Lee, Kyoung-Rog Lee, Gyeonghoon Kim, and Hoi-Jun Yoo, “A 502GOPS and 0.984mW Dual-mode ADAS SoC with RNN-FIS Engine for Intention Prediction in Automotive Black Box System”, in Proceedings of IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, pp. 256-257, San Francisco, CA, USA, January, 2016.
● Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Seongwook Park, Kyuho Jason Lee, Youchang Kim, and Hoi-Jun Yoo,“A 2.71nJ/Pixel Gaze-Activated Object Recognition System for Low-power Mobile Smart Glasses”, IEEE Journal of Solid-State Circuits (JSSC), vol. 51, no. 1, pp. 45-55, January 2016.
● Hyunwoo Cho, Hyunki Kim, Minseo Kim, Jaeeun Jang, Yongsu Lee, Kyuho Jason Lee, Joonsung Bae, and Hoi-Jun Yoo, “A 79pJ/b 80Mb/s Full-Duplex Transceiver and a 42.5mW 100kb/s Super-Regenerative Transceiver for Body Channel Communication”, IEEE Journal of Solid-State Circuits (JSSC), vol. 51, no. 1, pp. 310-317, January 2016.
● Kyuho Lee, Junyoung Park, Injoon Hong, and Hoi-Jun Yoo, “Intelligent Task Scheduler with High Throughput NoC for Real-Time Mobile Object Recognition SoC”, in Proceedings of IEEE European Solid-State Circuits Conference (ESSCIRC), pp. 100-103, Graz, Austria, September, 2015.
● Kyuho Jason Lee, Gyeonghoon Kim, Junyoung Park, and Hoi-Jun Yoo, “A Vocabulary Forest Object Matching Processor with 2.07 M-vector/s Throughput and 13.3 nJ/vector Per-Vector Energy for Full-HD 60 fps Video Object Recognition”, IEEE Journal of Solid-State Circuits (JSSC), vol. 50, no. 4, pp. 1059-1069, April 2015.
● Injoon Hong, Dongjoo Shin, Youchang Kim, Kyeongryeol Bong, Seongwook Park, Kyuho Lee, and Hoi-Jun Yoo, “A Keypoint-level Parallel Pipelined Object Recognition Processor with Gaze Activation Image Sensor for Mobile Smart Glasses System”, in Proceedings of IEEE Symposium in Low-Power and High-Speed Chips (COOLCHIPS XVIII), Yokohama, Japan, April, 2015.
● Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Seongwook Park, Kyuho Lee, Youchang Kim, and Hoi-Jun Yoo, “A 2.71nJ/Pixel 3D-Stacked Gaze-Activated Object Recognition System for Low-power Mobile HMD Applications”, in Proceedings of IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, pp. 326-327, San Francisco, CA, USA, February, 2015.
● Gyeonghoon Kim, Kyuho Lee, Youchang Kim, Seongwook Park, Injoon Hong, Kyeongryeol Bong, and Hoi-Jun Yoo, “A 1.22 TOPS and 1.52mW/MHz Augmented Reality Multi-Core Processor with Neural Network NoC for HMD Applications”, IEEE Journal of Solid-State Circuits (JSSC), vol. 50, no. 1, pp. 113-124, January 2015.
● Gyeonghoon Kim, Donghyun Kim, Seongwook Park, Youchang Kim, Kyuho Lee, Injoon Hong, Kyeongryeol Bong, and Hoi-Jun Yoo,“An Augmented Reality Processor with a Congestion-Aware Network-on-Chip Scheduler”, IEEE MICRO, vol. 34, no. 6, pp. 31-41, November 2014.
● Kyuho Lee, Gyeonghoon Kim, Junyoung Park, and Hoi-Jun Yoo, “A Vocabulary Forest-based Object Matching Processor with 2.07M-vec/s Throughput and 13.3nJ/vector Energy in Full-HD Resolution”, in Proceedings of IEEE Symposium on VLSI Circuits (S. VLSI) Digest of Technical Papers, Honolulu, HI, USA, June, 2014.
● Gyeonghoon Kim, Seongwook Park, Kyuho Lee, Youchang Kim, Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Sungpil Choi, Junyoung Park, and Hoi-Jun Yoo, “A Task-level Pipelined Many-SIMD Augmented Reality Processor with Congestion-aware Network-on-Chip Scheduler”, in Proceedings of IEEE Symposium in Low-Power and High-Speed Chips (COOLCHIPS XVII), Yokohama, Japan, April, 2014.
● Gyeonghoon Kim, Youchang Kim, Kyuho Lee, Seongwook Park, Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Sungpil Choi, Jinwook Oh, and Hoi-Jun Yoo, “A 1.22 TOPS and 1.52mW/MHz Augmented Reality Multi-Core Processor with Neural Network NoC for HMD Applications”, in Proceedings of IEEE International Solid-State Circuits Conference (ISSCC) Digest of Tech. Papers, pp. 182-183, San Francisco, CA, USA, February, 2014.
● Kyuho Lee, Junyoung Park, Gyeonghoon Kim, Injoon Hong, and Hoi-Jun Yoo, “A Multi-Modal and Tunable Radial-Basis-Function Circuit with Supply and Temperature Compensation”,in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1608-1611, Beijing, China, May, 2013.
● Junyoung Park, Injoon Hong, Gyeonghoon Kim, Youchang Kim, Kyuho Lee, Seongwook Park, Kyeongryeol Bong and Hoi-Jun Yoo,“A Multi-granularity Parallelism Object Recognition Processor with Content-aware Fine-grained Task Scheduling”, in Proceedings of IEEE Symposium in Low-Power and High-Speed Chips (COOLCHIPS XVI), Yokohama, Japan, April, 2013.
● Junyoung Park, Injoon Hong, Gyeonghoon Kim, Youchang Kim, Kyuho Lee, Seongwook Park, Kyeongryeol Bong and Hoi-Jun Yoo, “A 646 GOPS/W Multi-classifier Many-core Processor with Cortex-like Architecture for Super-Resolution Recognition”, in Proceedings of IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, pp. 168-169, San Francisco, CA, USA, February, 2013.

 

[Domestic Publications]

● 박건희, 이규호“Compute-in-Memory와 Time-Domain 연산을 활용한 Spiking Neural Network 가속기”, 대한전자공학회 하계종합학술대회, June, 2023.
● 장우영, 조진훈, 홍은솜, 이규호, “마스크 탐지를 위한 저지연 FPGA 기반 CNN 가속기”, 반도체공학회 종합학술대회, December, 2022.
● 정회창, 박건희, 이규호, “Ternary Neural Network 가속을 위한 Ternary Processing-in-Memory Processor”, 반도체공학회 종합학술대회, December, 2022.
● 김승빈, 이규호, “Real-time Lightweight 3D-CNN and Sparsity-Aware Processor for Mobile Hand Gesture Recognition”, 반도체공학회 종합학술대회, December, 2022.
● 정주은, 이규호, “임베디드 시스템을 위한 초경량 분할 네트워크 설계”, 반도체공학회 종합학술대회, December, 2022.
● 정회창, 박건희, 이규호, “Bitcell 기반 Ternary MAC Processing-in-Memory”, 반도체공학회 하계학술대회, July, 2022.
● 김승빈, 이규호, “모바일 환경에서의 실시간 손동작 인식을 위한 경량화된 3D-CNN”, 대한전자공학회 하계종합학술대회, June, 2022.
● 정주은, 이규호, “깊이 정보를 활용한 자율주행을 위한 실시간 의미론적 영상 분할 네트워크”, 대한전자공학회 하계종합학술대회, June, 2022.

 

[Awards/ Honors/ Memberships]

● IEEE Senior Member, 2019 ~ Present
● 박건희, 이규호, 2023 대한전자공학회 하계종합학술대회 우수학생논문상, Jun. 2023
● 장우영, 조진훈, 홍은솜, 이규호, 2022 AI Challenge Program (AICP), 최우수상, Dec. 2022
● 김승빈, 이규호, 반도체공학회 우수 논문상 (IEEE CASS 논문상), Dec. 2022
● 정회창, 정주은, 김승빈, 이규호, 2022 IDEC Congress CDC Siemense EDA 우수 포스터상, Jul. 2022
● 정주은, 이규호, 2022 대한전자공학회 하계종합학술대회 우수학생논문상, Jun. 2022
● 정주은, 이규호, 2022 대한전자공학회 하계종합학술대회 현대자동차그룹 우수논문상, Jun. 2022
● The IEIE Haedong Grand Prize, Best Paper Award, Korea, Nov. 2021
● U.S.-Korea Forum on Nanotechnology, Best Poster Award, USA, Ministry of Science (Korea) and National Science Foundation (USA), Sept. 2017
● 2015 ISSCC Demonstration Certificate of Recognition, USA, Feb. 2016
● Broadcom Foundation Award in recognition of leadership as Chairman of the KKT, Aug. 2015
● Samsung Human-tech Paper Awar, Bronze Prize, Korea, Feb. 2015
● Samsung Human-tech Paper Awar, Silver Prize, Korea, Feb. 2014
● KAIST-KEIO-TSINGHUA Workshop, Best Poster Award, Japan, Aug. 2013
● KAIST-KEIO-TSINGHUA Workshop, Best Poster Award, Korea, Aug. 2012
● National On-LIne Electrical Vehicle Design Contest, 2nd Place Prize, Korea, Nov. 2009
● National KSAE Baja & Formula Competition, 3rd Place Prize, Korea, Aug. 2008
● Korea Foundation for Advanced Studies, Undergraduate Scholarship, Mar. 2008 ~ Feb. 2012