MEMBER

Seokha Hwang

Contact Information


Educational Backgrounds

  • [2018/02~2019/08] M.S. in Electrical Engineering, POSTECH, Pohang, Korea

    • Thesis : Energy-efficient Hardware Architectures for Hard-decision Error-correction Codes

  • [2010/03~2016/02] B.S. in Electronic Materials Engineering, Kwangwoon University, Seoul, Korea


Professional Experiences

  • [2021/06~Present] Hardware Engineer, FuriosaAI, Seoul, Korea

  • [2021/03~2021/05] Researcher, SoC Platform Research Center, Korea Electronics Technology Institute (KETI), Seongnam, Korea

  • [2019/07~2021/01] Engineer, Memory Business, Samsung Electronics, Hwasung, Korea

  • [2017/05~2019/06] Research Assistant, Dept. Electrical Engineering, POSTECH, Pohang, Korea

  • [2016/03~2017/02] Research Assistant, Dept. Electronic Engineering, Kwangwoon University, Seoul, Korea

  • [2015/03~2015/11] Research Assistant, IDEC Platform Center, Kwangwoon University, Seoul, Korea


Research Interests

  • Intelligent Mobile System-on-Chip

  • Digital Signal Processing Hardware Architecture

  • FPGA/ASIC Implementation

  • Reliable storage systems with emerging memories


Publications (with EPIC LAB)

  • International Journal Papers

    1. Seokha Hwang, Seungsik Moon, Jaehwan Jung, Daesung Kim, In-Cheol Park, Jeongseok Ha, and Youngjoo Lee*, "Energy-efficient symmetric BC-BCH decoder architecture for mobile storages," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 11, pp. 4462-4475, Nov. 2019.

    2. Kibeom Kim, Seokha Hwang, Youngjoo Lee, and Sunggu Lee*, "Approximate radix-4 Booth multiplication circuit," IEIE Journal of Semiconductor Technology and Science, vol. 19, no. 5, pp. 435-445, Oct. 2019.

    3. Seokha Hwang, Seungsik Moon, Dongyun Kam, Inn-Yeol Oh, and Youngjoo Lee*, "High-throughput and low-latency digital baseband architecture for energy-efficient wireless VR systems," MDPI Electronics, vol. 8, no. 7:815, pp. 1-13, July 2019.

    4. Seokha Hwang and Youngjoo Lee*, “Sharpness-aware evaluation methodology for haze-removal processing in automotive systems,” IEIE Transactions on Smart Processing and Computing, vol. 5, no. 6, pp. 390-394, Dec. 2016.

  • International Conference Proceedings

    1. Minho Ha, Seokha Hwang, Jeonghun Kim, Youngjoo Lee, and Sunggu Lee*, "Hierarchical approximate memory for deep neural network applications," Asilomar Conference on Signals, Systems and Computers, Nov. 2020.

    2. Seungsik Moon, Hyunhoon Lee, Younghoon Byun, Jongmin Park, Junseo Joe, Seokha Hwang, Sunggu Lee, and Youngjoo Lee*, "FPGA-based sparsity-aware CNN accelerator for noise-resilient edge-level image recognition," IEEE Asian Solid-State Circuits Conference (A-SSCC), Macao, China, Nov. 2019, pp. 205-208. (Distinguished Design Award)

    3. Hyunhoon Lee, Younghoon Byun, Seokha Hwang, Sunggu Lee, and Youngjoo Lee*, "Fixed-point quantization of 3D convolutional Neural Networks for energy-efficient action recognition," International SoC Design Conference (ISOCC), Daegu, Korea, Nov. 2018, pp. 129-130.

    4. Junseo Joe, Seokha Hwang, Sunggu Lee, and Youngjoo Lee*, "Multi-mode LSTM network for energy-efficient speech recognition," International SoC Design Conference (ISOCC), Daegu, Korea, Nov. 2018, pp. 133-134.

    5. Seokha Hwang, Jaehwan Jung, Daesung Kim, Jeongseok Ha, In-Cheol Park, and Youngjoo Lee*, "An energy-optimized (37840, 34320) symmetric BC-BCH decoder for healthy mobile storages," IEEE Asian Solid-State Circuits Conference (A-SSCC), Seoul, Korea, Nov. 2017, pp. 169-172.

    6. Seokha Hwang and Youngjoo Lee*, “FPGA-based real-time lane detection for advanced driver assistance systems,” IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Jeju, Korea, Oct. 2016, pp. 218-219.

  • Domestic Conference Proceedings

    1. 황석하, 문승식, 이영주*, "고속 무선 비디오 전송을 위한 interleaved BCH 시스템의 구현," 제 26회 한국반도체학술대회, Feb. 2019, pp. 321.

    2. 문승식, 황석하, 이영주*, "On the accurate UBER calculation of FEC system with guaranteed error correction capability," 제 25회 한국반도체학술대회, Feb. 2018, pp. 789.

    3. 황석하, 이영주*, “Area-efficient SC FFT with CORDIC-based approximations,” 제 24회 한국반도체학술대회, Feb. 2017, pp. 77. (Best Session Award)

    4. 황석하, 김수환, 김지훈, 어진, 우동현, 정세환, 이영주*, “차량용 시스템의 안개제거 영상처리를 위한 선예도기반 성능평가 방법,” 대한전자공학회 하계종합학술대회, June 2016, pp. 995-998.

  • Patents

    1. 이영주, 문승식, 황석하, "대칭형 연접 BCH 복호화 장치 및 이를 이용한 비휘발성 메모리의 데이터 오류 정정 방법," 등록번호: 10-2135945, 출원번호: 10-2019-0055909.

    2. 이영주, 황석하 “플래시 메모리의 오류 정정을 위한 대칭형 연접 비씨에이치 복호화기와 이를 이용한 오류 정정 방법 및 시스템," 등록번호: 10-1974301, 출원번호: 10-2018-0000922.


Awards and Honors

  • Distinguished Design Award, IEEE Asian Solid-State Circuits Conference (A-SSCC), 2019.

  • Special Award (기업특별상), 19th Korea Semiconductor Design Contest, 2018

  • Best Design Award, IDEC Congress CDC, 2018.

  • Session Paper Award (System LSI Design), Korean Conference on Semconductor (KCS), 2017.

  • Excellence Award, Kwangwoon University, Engineering Festival, 2014.

  • 2nd Prize, KOMMA, Machine Tool Design Contest, 2013.