RESEARCH

1. Integrated Circuits and Systems to Help Humans

  • Collaboration: Samsung Electronics, TODOC, KIST Brain Science Institute, KAIST EE BMM LAB, UNIST EE BIAS LAB, DGIST EECS INS LAB

  • Project performed: Brain Research Program (2017M3C7A1028859) with KIST

  • Technologies: System design for In-vitro measurement, Low-power LNA, ADC, DAC design, Multi-channel sensor signal processing circuit design,

Digital back-end calibration system design based on FPGA

  • Significance: Traditional analog techniques on latest biomedical application

  • SCIE journal: 1 (1st author)

[1] Hyuntak Jeon et al., “A CMRR Enhancement Circuit Employing Gm-Controllable Output Stage For Capacitive Coupled Instrumentation Amplifier” 2020 IEEE Transaction on Circuits and Systems II (TCAS-II): Express Briefs

  • International conference: 1 (3rd author), 2 (2nd author), 1 (4th author)

[1] Hyuntak Jeon et al., “16-Channel High-CMRR Neural-Recording Amplifiers Using Common-Made-Tracking Power Supply Rails” 2018 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT)

[2] ~, Hyuntak Jeon et al., “A 650-uW 30-Mbps Galvanic Coupling Communication Receiver for Bionic Arms” 2018 IEEE International Symposium on Circuits and Systems (ISCAS)

[3] ~, Hyuntak Jeon et al., “Technical Review: Neural Recording Circuits for Bidirectional Neural Interface” 2018 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)

[4] ~, ~, ~, Hyuntak Jeon et al., “A neural recording amplifier based on adaptive SNR optimization technique for long-term implantation” 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)

  • Award: 1 (1st author)

[1] Hyuntak Jeon et al., “A Low Power, High CMRR Neural Recording IC with Controllable Gm-cell” 2019 The 19th RF/Analog Workshop Best Paper in Jeju, Korea

2. Integrated Circuits and Systems to Replace Humans

  • Collaboration: Samsung Electronics, TODOC, KIST Brain Science Institute, KAIST EE BMM LAB, UNIST EE BIAS LAB, DGIST EECS INS LAB

  • Project performed: Convergence Technology Development Program for Bionic Arm (2017M3C1B2085296) with KIST

  • Technologies: Bidirectional neural interface system design with stimulator and recording circuits, Current-starved ring oscillator,

Low-power time-based delta sigma ADC design, Digital filter system design based on FPGA

  • Significance: Novel mixed signal circuits Solution for latest biomedical application

  • SCIE Journal: 1 (1st author)

[1] Hyuntak Jeon et al., “A High DR, DC-Coupled, Time-Based Neural-Recording IC With Degeneration R-DAC for Bidirectional Neural Interface,” 2019 IEEE Journal of Solid-State Circuits (JSSC)

  • International Conference: 1 (6th author), 1 (1st author), 1 (2nd author)

[1] ~, ~, ~, ~, ~, Hyuntak Jeon et al., “A 100Mb/s Galvanically-Coupled Body-Channel-Communication Transceiver with 4.75 pJ/b TX and 26.8 pJ/b RX for Bionic Arms” 2019 IEEE Symposium on VLSI Circuits (SOVC)

[2] Hyuntak Jeon et al., “A 3.9 μW, 81.3 dB SNDR, DC-coupled, Time-based Neural Recording IC with Degeneration R-DAC for Bidirectional Neural Interface in 180nm CMOS,” 2018 IEEE Asian Solid-State Circuits Conference (A-SSCC)

[3] ~, Hyuntak Jeon, et al., “6.5µW 92.3DB-DR Biopotential-Recording Front-End with 360MVPP Linear Input Range,” 2018 IEEE Symposium on VLSI Circuits (SOVC)

  • Award: 1 (1st author)

[1] Hyuntak Jeon et al., “A 3.9 μW, 81.3 dB SNDR, DC-coupled, Time-based Neural Recording IC with Degeneration R-DAC for Bidirectional Neural Interface in 180nm CMOS,” 2018 IEEE Asian Solid-State Circuits Conference (A-SSCC) Student Design Contest, Best Design Award

3. Integrated Circuits and Systems to Save Humans

  • Collaboration: KAERI Department of ICT, KAERI ICR LAB, KAIST NQE RDMIS LAB

  • Project performed: Basic Science Research Program (2017M2A8A4056388) with KAERI

  • Technologies: Environment modeling technology for irradiation test setup, High performance AFE for radiation sensor interface,

Radiation hardened sensor interface circuit design technology, Signal processing and control system design based on FPGA

  • Significance: Novel mixed signal circuits Innovation on traditional application

  • SCIE Journal: 2 (1st author)

[1] Hyuntak Jeon et al., “Radiation-Hardened Sensor Interface Circuit for Monitoring Severe Accidents in Nuclear Power Plants” 2020 IEEE Transaction on Nuclear Science (TNS)

[2] Hyuntak Jeon et al., “A power efficient radiation sensor interface with a peak triggered sampling scheme for mobile dosimeters” 2020 MDPI Sensors

  • Domestic Conference: 1 (1st author)

[1] Hyuntak Jeon et al., “A Radiation Sensor Interface System for Mobile Application” 2019 Transactions of the Korean Nuclear Society (KNS) Autumn Meeting

  • Patent: 3 (Registered)

[1] “Apparatus for Providing Sensor Interface and Apparatus for Detecting Radiation Including The Same” 10-2173007 (KR) - Registered

[2] “Design method of self-compensated preamplifier for radiation effects” 10-2314780 (KR) – Registered

[3] “Amplifying device and radiation detection apparatus including the same” GB2579444 (UK) - Registered

4. Integrated Circuits and Systems to Protect Humans

  • Collaboration: KETI, UNIST EE PICTUS LAB, KAERI Department of ICT, KAERI ICR LAB, KAIST NQE RDMIS LAB, Intromedic

  • Project performed: Basic Science Research Program (2020M2A8A1000830) with KAERI

  • Technologies: System optimization for mobile application, Control circuit design for analog feedback system,

High voltage DC-DC converter design, Back-end decimation circuit design

  • Significance: Achievement of technology convergence (power converter circuits + sensor readout circuits)

  • SCIE Journal: 2 (1st author)

[1] Hyuntak Jeon “A Boost Converter Employing Quadratic Sawtooth Waveform Generator for SiPM-Based Radiation Sensors,” 2021 MDPI Chemosensors

[2] Hyuntak Jeon et al., “A Power/Hardware Efficient SiPM Readout IC Embedded in a Boost Converter for Mobile Radiation Dosimeters,” 2022 IEEE Transactions on Power Electronics (Early Access)

  • International Conference: 1 (1st author)

[1] Hyuntak Jeon et al., “A SiPM Readout IC Embedded in a Boost Converter for Mobile Dosimeters,” 2021 IEEE Symposium on VLSI Circuits (SOVC)