Alumni

Dongkyu Lee (Ph.D. 24 and Korea Electronics Technology Institute (KETI))

Brief Bio Sketch

Mr. Lee received the B.S degree (Summa Cum Laude) in Electronics Engineering at Kyungpook National University, Daegu, Korea in 2018. His research interests include high performance acceleration on big data processing. His research was focused on designing energy-efficient cloud-connected processors in VLSI chip level. He is pursuing toward obtaining his Ph.D degree in KNU. Mr. Lee published several journal/conference papers in Cloud-connected IoT software hardware architecture. He is an lecturer of C-Programming Language in KNU. [Homepage] [Google Scholar] [About]

Selected Publications

Dongkyu Lee, Hyeongyun Moon, Sejong Oh and Daejin Park. mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scale IoT Applications (SCI) Sensors , 2020.
Sanghoon Lee, Dongkyu Lee, Pyung Choi, and Daejin Park. Accuracy-Power Controllable LiDAR Sensor System with 3D Object Recognition for Autonomous Vehicle (SCI) Sensors 20(19):5706-5725, 2020.
Dongkyu Lee, Seungmin Lee, Sejong Oh, and Daejin Park. Energy-Efficient FPGA Accelerator with Fidelity-Controllable Sliding-Region Signal Processing Unit for Abnormal ECG Diagnosis on IoT Edge Devices (SCI) IEEE Access, 2021.
Taewon Chong, Dongkyu Lee, and Daejin Park. Semantic Depth Data Transmission Reduction Techniques based on Interpolated 3D Plane Reconstruction for Lightweighted LiDAR Signal Processing Platform (SCI) Electronics, 11(14):2135-2152, 2022.
Dongkyu Lee and Daejin Park. On-Cloud Linking Approach Using a Linkable Glue Layer for Metamorphic Edge Devices (SCI) Electronics, 2023.

Dongkyu Jung (M.S. and Samsung Electronics)

Brief Bio Sketch

Mr. Jung is currently pursuing toward his M.S. degree in School of Electronics Engineering from Kyungpook National University, Daegu, Republic of Korea. His research interests include the pre-processor and neural network module for adaptive AI based on ARM architecture, especially designing high-speed low- power AI sight fusion algorithm for resource-limited embedded systems. Currently, he is focusing on on-chip GPU high-efficiency control and data processing using ARM SIMD (Single Instruction Multiple Data). [Homepage] [Google Scholar]

Selected Publications

Dongkyu Jung and Daejin Park. Efficient Object Detection Using Semantic ROI Generation with Light-weighted LiDAR Clustering in Embedded Processors (SCI) Sensors, 2023.
Dongkyu Jung and Daejin Park. Accelerated On-Chip Algorithm based on Semantic Region-based Partial Difference Detection for LiDAR-Vision Depth Data Transmission Reduction in Lightweight Controller Systems of Autonomous Vehicle In 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2021.
Dongkyu Jung and Daejin Park. RTOS-based Task-Driven Scheduling for Vehicle Independent BLDC Motor Control In IEEE 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), 2023.

Junghyun An (M.S. 17, Samsung Electronics Principle Researcher, Ph.D. Candidate)

Brief Bio Sketch

Mr. An received the M.S. degree in School of Electronics Engineering from Kyungpook National University, Daegu, Korea, in 2017. His research interests include ultra-low power VLSI chip design for IoT-driven applications. He is now with SK Hynix Semiconductor, developing ARM-based System-on-Chip with Custom-Designed VLSI Circuit. He published several journal/conference papers related robust processor architecture protecting abnormal clock failure. [Homepage] [Google Scholar]

Recent Publications

Joonghyun An, Moon Gi Seok, and Daejin Park. Automatic On-Chip Backup Clock Changer for Protecting Abnormal MCU Operations in Unsafe Clock Frequency IEICE Electronics Express, 13(24):20160808-20160808, 2016.

Jaeyong Jung (M.S @ KNU, Researcher @ LG Innotek)

Brief Bio Sketch

Mr. Jung is now with LG Innotek as product engineer, developing camera actuator tester process. He received his B.S. degree in Electronics Engineering in 2019 and completed his master's degree in 2021 at Kyungpook National University, Daegu, Republic of Korea. His research interests are high-speed, intelligent, optimized disturbance-robust automatic control systems. [Homepage] [Google Scholar]

Selected Publications

Jaeyong Jung and Daejin Park. Intelligent Microcontroller using Runtime Coefficient Update Techniques for Disturbance Robust Output Control In IEEE ICEIC 2023, 2023.
J. Jung, J. Cho, and D. Park. Energy-Efficient Signal Processors with Silent Mirror Tracer for Long-Term Activity Monitoring In 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, 2019.

Sunghoon Hong (Ph.D. Student , SYSCON Robotics)

Brief Bio Sketch

Mr. Hong received the M.S. degree in Intelligent Robot Engineering at Hanyang University, Seoul, Korea, in 2016. His main interest is Human-Like Autonomous Driving Systems. He has a lot of experience in autonomous driving technologies such as SLAM (Simultaneous Localization And Mapping), ADAS (Advanced Driver Assistance Systems), PID (Proportional-Integral-Differential) control, machine learning, path-planning and navigation algorithms and has published several journal/conference papers. Currently, He was a research engineer at Carnavicom.Co., Ltd. from 2021 and Department of Electronics, Kyungpook National University, Daegu, Korea from 2021. He is pursuing toward his Ph.D. degree by researching technologies to optimize deep learning-based object detection algorithms for human-like artificial intelligence autonomous driving systems to be applied to low-power embedded systems. [Homepage] [Google Scholar]

Selected Publications

Sunghoon Hong and Daejin Park. Runtime ML-DL Hybrid Inference Platform based on Multiplexing Adaptive Space-Time Resolution for Lightweight Object Detection in Low-Power Embedded Systems (SCI) Sensors, 22(8):2998-3011, 2022.
Sunghoon Hong and Daejin Park. On-Chip Realization of Efficient Lane Departure Warning Systems using Inverse Perspective Transformation and Machine Learning-based Lane Prediction (SCI) (Under Revision) IEEE Transactions on Intelligent Transportation Systems, 2023.

Taewon Chong (Ph.D. Student, Research Collaborator @ Carnavicom)

Brief Bio Sketch

Mr. Chong received the B.S degree in Electronics Engineering at Korea Polytechnic University, Korea in 2016 and M.S degree in Electronics & Computer Engineering, Chonnam University at Korea in 2018. He is now pursuing toward his Ph.D. degree, collaborating as a research engineer at Carnvicom.CO., Ltd. from 2015 and Department of Physics, Hanyang University from 2018. He has worked on LiDAR sensor signal processing, developed 3D viewer and developed domain control unit(DCU) for sensors. [Homepage] [Google Scholar]

Selected Publications

Taewon Chong, Dongkyu Lee, and Daejin Park. Semantic Depth Data Transmission Reduction Techniques based on Interpolated 3D Plane Reconstruction for Lightweighted LiDAR Signal Processing Platform (SCI) Electronics, 11(14):2135-2152, 2022.
Dongkyu Jung and Taewon Chong and Daejin Park. Efficient Object Detection Using Semantic ROI Generation with Light-weighted LiDAR Clustering in Embedded Processors (SCI) Sensors, 2023.

Yonghun Lee (Ph.D. Student, Senior Researcher @ Gaonchips)

Brief Bio Sketch

Mr. Lee received the B.S degree in Electronics Engineering at Jeonbuk National University, Jeonju, Korea in 2004. Mr. Lee was a research engineer at Samsung Electronics over 16 years from 2004 to 2020. And have worked on high speed intra-panel interface and touch sensor controller. He is currently an Ph.D. student in School of Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea. His research interests include one-dimensional hardware acceleration for embedded systems. [Homepage] [Google Scholar]

Selected Publications

Yonghun Lee and Daejin Park. Fast Verilog Simulation using Tcl-based Verification Code Generation for Dynamically Reloading from Pre-Simulation Snapshot In IEEE ICAIIC 2023, 2023.
Jin-Ho Kim, Woon-Taek Oh, Tae-Jin Kim, Jae-Yong Ihm, Younghwan Chang, Youngmin Choi, Donguk Park, Naxin Kim, Yonghun Lee. LCD-TV System with 2.8Gbps/Lane Intra-Panel Interface for 3D TV Applications in SID 2012.
Dong Hoon Baek, Jung Pil Lim, Han Su Pae, Jae Youl Lee, Wang Yu, Young Min Choi, and Yong Hun Lee. The Enhanced Reduced Voltage Differential Signaling eRVDS Interface with Clock Embedded Scheme for ChipOnGlass TFTLCD Applications in SID 2010.
Yoon-Kyung Choi, Zhong-Yuan Wu, KyungMyun Kim, and YongHun Lee. A Compact Low-Power CDAC Architecture for Mobile TFT-LCD Driver ICs in ISCC 2008.
Yoon-Kyung Choi, Hyung Rae Kim, Wongab Jung, MinSoo Cho, Zhong-Yuan Wu, HyoSun Kim, and YongHun Lee. A 16.7M Color VGA Display Driver IC with Partial Graphic RAM and 500Mb/s/ch Serial Interface for Mobile a-Si TFT-LCDs in ISCC 2007.

Seungmin Lee (Ph.D. 18, KNU-EE Funded Professor)

Brief Bio Sketch

Dr. Lee received his B.S. and M.S. degrees in Mathematics from Kyungpook National University (KNU), in Daegu, Korea in 2010 and 2012, respectively. He expanded his research topics to the bio-inspired signal processing algorithm and electronics systems. He received his Ph.D. degree in Electronics Engineering at KNU in 2018. His research interest includes signal processing, image processing, bio-inspired signal processing, and compact system implementation. He is now with KNU as Post-doctoral researcher, supported by NRF grants. [Homepage] [Google Scholar]

Recent Publications

S. Lee, Y. Jeong, J. Kwak, D. Park, and K. H. Park. Advanced Real-Time Dynamic Programming in the Polygonal Approximation of ECG Signals for a Lightweight Embedded Device IEEE Access, 7:162850-162861, 2019.

Minkyu Park (M.S. 18, LG Electronics Researcher)

Brief Bio Sketch

Mr. Park received the M.S. degree in Electronics Engineering from Kyungpook National University in 2018. His research interest includes robust firmware architecture for distributed IoT applications. recognition. He is now with LG Electronics, as senior researcher, developing embedded software for the smart home appliance. [Homepage] [Google Scholar]

Yongtae Kim (Ph.D. 19, LG Electronics, Master)

Brief Bio Sketch

Dr. Kim received his Ph.D from school of electronics engineering at Kyungpook National University in 2019. His research interests include highly-robust embedded system design based on fault-tolerant MCU. Dr. Kim is now with LG Electronics developing next generation smart home appliances, nominated as one of directors. [Homepage] [Google Scholar]

Recent Publications

Yongtae Kim, Jeonghun Cho, and Daejin Park. Human-Interactive IoT Microcontroller with Silent Background-Mode CRC Protection Unit for Runtime Code Memory Integrity Verification International Journal of Mechanical Engineering and Technology (IJMET), 9(10):149-156, 2018.

Yoosoo Jeong (Ph.D. 19, ETRI Researcher)

Brief Bio Sketch

Dr. Jeong received his B.S. degree in mathematics from Kyungpook National University, Daegu, Korea in 2013, the M.S. degree and Ph.D degree in Electronics Engineering from KNU in 2015, 2019, respectively. His research interest includes image signal processing and pattern recognition. Dr. Jeong is now with ETRI, developing AI-driven image processing algorithm in medical applications [Homepage] [Google Scholar]

Recent Publications

Yoosoo Jeong, Seungmin Lee, Daejin Park, and Kil Houm Park. Accurate Age Estimation Using Multi-Task Siamese Network-Based Deep Metric Learning for Frontal Face Images Symmetry, 10(9):1-15, 2018.

Seongseop Kim (M.S. 19, KETI Researcher)

Brief Bio Sketch

Mr. Kim received his B.S. and M.S. degrees in Electronics Engineering from Kyungpook National University, Daegu, Korea in 2017 and 2019, respectively. His research interests include hardware-accelerated signal processing algorithm and high performance microprocessor-based signal processing system implementation. He received excellent research award from KNU in 2019, for outstanding research journal paper publications. Mr. Kim was a researcher in ADD, and he is now with KETI, developing System-on-Chip. He published several SCI journal papers related in high performance GPU simulation and signal processing of IoTs. [Homepage] [Google Scholar]

Recent Publications

Seongseop Kim, Jeonghun Cho, and Daejin Park. Accelerated DEVS Simulation Using Collaborative Computation on Multi-Cores and GPUs for Fire-Spreading IoT Sensing Applications Applied Sciences, 8(9):1-17, 2018.
Seongseop Kim, Jeonghun Cho, and Daejin Park. Moving-Target Position Estimation Using GPU-Based Particle Filter for IoT Sensing Applications Applied Sciences, 7(11):1-14, 2017.

Hyungyun Moon (M.S. 19, Organization related in Ministry of National Defense)

Brief Bio Sketch

Mr. Moon received his B.S. and M.S. degree in Electronics Engineering at Kyungpook National university, Daegu, Korea in 2018, and 2019, respectively. His research interests include hardware design for hardware/software tightly couple solution and processor architecture design. He designed two system-on-chip in CMOS 0.18, 0.35um processes, respectively. [Homepage] [Google Scholar]

Recent Publications

Hyungyun Moon and Daejin Park. Edge-Centric Metamorphic IoT Processor Platform for Efficient On-Demand Hardware Replacement Journal of the Korea Institute of Information and Communication Engineering, 2020.
Dongkyu Lee, Hyungyun Moon, Sejong Oh, and Daejin Park. mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scale IoT Applications Sensors, 2020.
H. Moon, J. Cho, and D. Park. Freeze-Safe IoT Hibernation Using Power Profile Monitor Based on Communication-Centric Auto-Tuning In 2018 IEEE 12th International Symposium on Embedded Multi-core/Many-core Systems-on-Chip (MCSoC), pages 132-137, Sept 2018.

Jisu Kwon (M.S. 21, Ph.D. Student)

Brief Bio Sketch

Mr. Kwon received his B.S. degree in Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea in 2019. He is currently a integrated Ph.D. student in School of Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea. His research interests include the behavior changeable neuromorphic deep learning processor based on partial software partial replacement and hardware reconfiguration architecture, especially designing ultra-low-power AI accelerator for resource-limited embedded systems. Currently, he is focusing on energy-efficient/fast/low-memory-cost binary firmware (FW) replacement via FW segmentation. He is the first student enrolled with B.S./M.S./Ph.D.-integrated course in KNU. [Homepage] [Google Scholar] [About]

Recent Publications

Jisu Kwon, Moon Gi Seok, and Daejin Park. Low-Power Fast Partial Firmware Update Technique of On-Chip Flash Memory for Reliable Embedded IoT Microcontroller (SCI) IEICE Transactions on Electronics, 2021.
Jisu Kwon and Daejin Park. Low-Energy Sensor Processing Techniques using Kalman Filter-based Position Estimation in Cooperative Vehicle IoT Applications (SCI) (On Writing) IEEE Access, 2021.
Jisu Kwon, Moon Gi Seok, and Daejin Park. User Insensible Sliding Firmware Update Technique for Flash-Area/Time-Cost Reduction toward Low-Power Embedded Software Replacement In 2020 IEEE COOLChips, 2020.
Jisu Kwon, Sejong Oh, and Daejin Park. Toward Data-Adaptable TinyML using Model Partial Replacement for Resource Frugal Edge Device In HPC-Asia 2021, 2021.
Jisu Kwon, Sejong Oh, and Daejin Park. Metamorphic Edge Processors Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models In IEEE ISCAS 2021, 2021.

Myeongjin Kang (M.S. 22, Ph.D. Student)

Brief Bio Sketch

Mr. Kang received his B.S. degree in Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea in 2020. He is currently pursuing toward a Ph.D. in School of Electronics Engineering at Kyungpook National University, Daegu, Republic of Korea. His research interests include Embedded low-power action with Hue based algorithm and Parallelized ECC Block. Currently, he is focusing on low-power robust processor architecture with ECC protection unit. In the future, he will focus on various way for processor's low power, stable action. [Homepage] [Google Scholar] [About]

Recent Publications

Myeongjin Kang and Daejin Park. High Speed and Robust Processor based on Parallelized Error Correcting Code Module (KCI) Journal of the Korea Institute of Information and Communication Engineering, 2020.
Myeongjin Kang and Daejin Park. Lightweight Microcontroller with Parallelized ECC-based Code Memory Protection Unit for Robust Instruction Execution in Smart Sensors (SCI) Sensors, 2021.
Myeongjin Kang and Daejin Park. Robust Software Execution using QR Code-Encoded Control Flow of On-Chip Power Consumption Patterns (KCI) (Under Review) Journal of the Korea Institute of Information and Communication Engineering, 2021.

Seongho Cho (M.S. 21, LG Display Senior Researcher)

Brief Bio Sketch

Mr. Cho received his M.S. degree in School of Electronics Engineering from Kyungpook National University, Daegu, Korea, in 2021. He is pursuing toward his Ph.D. degree in school of Electronics Engineering at Kyungpook National university, Daegu, Korea. Mr. Cho is now with LG Display as senior researcher, developing display and touch device controller including F/W for automotive. His research interests include the robust circuit design and highly reliable and low power self diagnostic architecture for automotive display device for ASIL. [About] [Google Scholar]

Recent Publications

Seongho Cho, Sejong Oh, and Daejin Park. Robust Intra-Body Communication using SHA-ECC-CRC Inversion-based Frequency Shift Keying for Securing Electronic Authentication Sensors, 2020.
Seongho Cho and Daejin Park. Electrostatic Coupling Intra-Body Communication Based on FSK Communication and Error Correction IEMEK Journal of Embedded Systems and Applications, 2020.
Seongho Cho and Daejin Park. FSK Communication and Error Correction Technique for Robust Electrostatic Coupling Intra-Body Communication In IEEE Global Conference on Consumer Electronics 2020.

Sanghoon Lee (Ph.D. 21, Research Professor @ Kyungpook National University)

Brief Bio Sketch

Mr. Lee received the B.S degree in Electronics Engineering at Dong-A University, Busan, Korea in 2009 and M.S degree in Electronics Engineering at Kyungpook National University, Daegu, Korea in 2011. His research interests include analog ICs, ASIC design and analysis. His current fields of interest is development and implementation of LiDAR sensor. Mr. Lee was a research engineer at GITC (Gyeongbuk of IT Convergence Industry Technology) from 2015 to 2018, and have worked on signal processing and circuit design for various sensors included LiDAR sensor. Since 2018, he is now a senior researcher in CARNAVICOM Co., Ltd., and working on circuit design of LiDAR sensor. [Homepage] [Google Scholar]

Recent Publications

Sanghoon Lee and Daejin Park. Efficient Power Consumption Technique of LiDAR Sensor for Detection Accuracy Control Based on Vehicle Speed (KCI) IEMEK Journal of Embedded Systems and Applications, 2020.
S. Lee, J. Kim, J. Shin, and P. Choi, Algorithm of Modified Single-slope A/D Converter with Improved Conversion Time for CMOS Image Sensor System In Journal of Sensor Science and Technology(JSST), Vol. 24, No. 6, pages 359-363, 2015.
Sanghoon Lee, Dongkyu Lee, Pyung Choi, and Daejin Park. Accuracy-Power Controllable LiDAR Sensor System with 3D Object Recognition for Autonomous Vehicle (SCI) Sensors, 2020.

Peter Plesznik (M.S. 21, ARM)

Brief Bio Sketch

Mr. Plesznik received received his B.S. degree in electrical engineering in 2017 from the Budapest University of Technology and Economics, Hungary. He has recently received his M.S. degree in the field of electronics engineering at the Kyungpook National University, Daegu, Korea in 2021. He is now with Silicon Labs in Hungary, still pursuing low-power high performance DSP research. The synthesizable logics implemented by this study is being extended and integrated to the low-power microcontrollers with active noise canceller unit. [Homepage] [Google Scholar] [About]

Recent Publications

D. Lee, M. Kang, P. Plesznik, J. Cho, and D. Park. Scrambling Technique of Instruction Power Consumption for Side-Channel Attack Protection In 2020 International Conference on Electronics, Information, and Communication (ICEIC), pages 1-2, 2020.
Peter Plesznik, Zsolt Kollar, and Daejin Park. FPGA Optimized Realization of the Observer-Based Sliding Discrete Fourier Transform (SCI) IEEE Access, 2022

Hyejoo Kim (Undergraduate Student, Research Assistant @ KNU)

Brief Bio Sketch

Ms. Kim is a prospective researcher as undergraduate student intern, majoring Computer Engineering in Kyungpook National University. Her research interests include various AI-driven applications powering interative intelligence on machine via web interface. [Homepage]

Selected Activity

Social Network Systems using PHP, apache, and back-end database
Intelligent Human-like Chatbot using Google Dialogflow

Daeun Heo (Research Assistant @ Tilda)

Brief Bio Sketch

Ms. Heo received her B.S. degree in School of Electronics Engineering, Kyungpook National University, 2021. She is a prospective researcher as a visiting scholar. Her research interests include various AI-driven applications powering interative intelligence on machine via web interface, specialized in asynchronous interactive applications based on node.js. [Homepage] [Google Scholar]

Selected Activity

Verilog Simulation Waveform Visualization using node.js
Smart City Visualization Platform using node.js
Realtime LiDAR Points of Cloud Visualization using node.js

Juneseo Chang (Undergraduate Student @ SNU)

Brief Bio Sketch

Mr. Chang is currently doing his undergraduate degree in Computer Science and Engineering at Seoul National University, Seoul, Republic of Korea. His research interests include dependable and resilient system design using machine learning approaches. He has also developed a low-power, light-weighted, high-performance machine learning algorithm for human activity data recognition. He is a recipient of the Presidential Science Scholarship funded by the Korea Student Aid Foundation (KOSAF). He was a visiting researcher at the AI-SoC lab as a part of the Daegu Science High School research program from March to November 2018. [Homepage] [Google Scholar]

Selected Publications

Juneseo Chang, Myeongjin Kang, and Daejin Park. Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-based Activity Classification in Lightweighted Edge Devices (SCI) Electronics, 11(1):139-159, 2022.
Juneseo Chang, Myeongjin Kang, and Daejin Park. Accelerated SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices In IEEE 40th International Conference on Consumer Electronics, 2022.
Juneseo Chang and Daejin Park, Accuracy-Area Efficient Online Fault Detection for Robust Neural Network Software-Embedded Microcontrollers In The ACM SIGBED International Conference on Embedded Software (EMSOFT), 2022.
Juneseo Chang and Daejin Park. Searching Optimal Compiler Optimization Passes Sequence for Reducing Runtime Memory Profile using Ensemble Reinforcement Learning In ACM International Conference on Embedded Software (EMSOFT 2023), 2023.

Co-Advised Students

Jiae Youn (M.S. 15, KT Researcher)

Brief Bio Sketch

Ms. Youn received the M.S. degree in School of Electronics Engineering from Kyungpook National University, Daegu, Korea, in 2016. His research interest include model-driven vehicle ECU controller. Ms. Youn is now with KT as researcher. [Homepage] [Google Scholar]

Recent Publications

Jiae Youn, Joonghyun An, Meng Di Yin, and Daejin Park. Safe Adaptive Headlight Controller with Symmetric Angle Sensor Compensator using Steering-Swivel Angle Lookup Table Transactions of the Korean Society of Automotive Engineers, 24(1):112-121, Jan 2016.

Meng Di Yin (M.S. 15, China Institute of Electronics Technology Standardization)

Brief Bio Sketch

Mr. Yin received the M.S. degree in School of Electronics Engineering from Kyungpook National University, Daegu, Korea, in 2016. His research interest include smart battery charging algorithm and automotive embedded systems. Mr. Yin is now with China Institute of Electronics Technology Standardization, as researcher. He published several journal/conference papers. [Homepage] [Google Scholar]

Recent Publications

M. Di Yin, J. Cho, and D. Park. Pulse-Based Fast Battery IoT Charger using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve Energies, 9(3):1-20, 2016.

Kiho Choi (M.S. 19, LG Electronics)

Brief Bio Sketch

Mr. Choi received the B.S. and M.S degree in Electronics Engineering from Kyungpook National University, Daegu, Korea in 2017 and 2019, respectively. His research interests include Memory-embedded microprocessor architecture and its optimizing control algorithm. Mr. Choi is now with LG Electronics, developing embedded software for smart home appliances. [Homepage] [Google Scholar]

Recent Publications

Kiho Choi, Daejin Park, and Jeonghun Cho. SSCFM: Separate Signature-Based Control Flow Error Monitoring for Multi-Threaded and Multi-Core Environments Electronics, 8(2):166-185, 2019.