Cheolsoo Park received the B.Eng. degree in electrical engineering from Sogang University, Seoul, South Korea, the M.Sc. degree from the Biomedical Engineering Department, Seoul National University, Seoul, and the Ph.D. degree in adaptive nonlinear signal processing from Imperial College London, London, U.K., in 2012.
From 2012 to 2013, he was a Postdoctoral Researcher with the University of California at San Diego. Currently, he is a Professor with the Computer Engineering Department, Kwangwoon University, Seoul.
His research interests include machine learning and adaptive and statistical signal processing, with applications in healthcare, computational neuroscience, wireless power transfer systems, and wearable technology.
Interests
- Theory - Machine Learning - Signal Processing
- Application - Wearable IoT - Ubiquitous Healthcare - Computational Neuroscience - Affective Computing - Brain-Computer Interface (BCI) - Security - Authentication
Education
PhD in Adaptive Nonlinear Signal Processing, 2012
Imperial College London
MSc in Biomedical Engineering
Seoul National University
BEng in Electrical Engineering
Sogang University
Latest
- Multi-task learning for estimation of remote PPG and respiration signals with complex valued convolutional neural network
- Deep Reinforcement Learning-Based Adaptive Bandpass Filter With Reconfigurable Frequency and Bandwidth
- LLM 기반 다중 에이전트 강화학습을 활용한 이상탐지 기법
- Designing a Remote Photoplethysmography-Based Heart Rate Estimation Algorithm During a Treadmill Exercise
- Designing Spiking Neural Network-Based Reinforcement Learning for 3D Robotic Arm Applications
- Dual-Band Absorptive Bandpass Filters Using a Dual-Behavior Matching Section
- Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration
- Wasserstein GAN-GP 기반 Super-Resolution 모델을 활용한 손톱주름 모세혈관 영상 향상 기법
- Brain-inspired learning rules for spiking neural network-based control: a tutorial
- Tunable Absorptive Dual Notch Filters Using a Stub-Loaded Coupled Line with an Inductor
- 근전도(EMG) 신호 분류를 위한 스파이크 신경망 기반 트랜스포머
- 2-자유도 로봇 팔 제어를 위한 뉴로모픽 스파이크 기반 강화 학습
- Generalized ECG Feature Learning and Arrhythmia Classification Using Contrastive Predictive Coding
- Impact of Segmentation Improvement on White Blood Cell Counting Accuracy
- Event-based White Blood Cell Classification using Convolutional Spiking Neural Networks
- Prediction of Remote Photoplethysmography Using Quaternion-based Convolutional Neural Networks in Metaverse
- Application of remote heart rate estimation on a treadmill using a mixture of expert-based time series transformer model
- Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification
- Emotion Classification from EEG Data Using Self-supervised Contrastive Predictive Coding
- 멀티모달 대형 언어 모델을 이용한 제로샷 인간 행동 인식
- Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks
- Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models
- Priority-Aware Scheduling for High-Dense Healthcare IoT (H-IoT) Networks Using Message-Passing Algorithm
- Hybrid Neural Network Model for Anomaly Detection in Implantable Devices Using Graph Attention Networks and Transformers
- Homographic Adaptation 적용을 통한 손톱 주름 모세혈관의 의미론적 분할 성능 향상
- Large Language Models의 제로샷 기법을 적용한 렌터카 차량 가격 예측
- 다중 모달리티를 활용한 휴먼 제스처 인식: 이벤트 및 프레임 기반 3-스트림 융합 네트워크
- 렌터카 가격 예측을 위한 Lag-Llama 모델의 제로샷 기법 적용
- 사이버-물리 시스템에서의 이상 감지를 위한 양방향 접근 방식
- Nailfold Capillaroscopy Platform
- Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques
- Remote Photoplethymography을 이용한 감정 인식
- RGB 입력을 통한 CNN 기반 DVS 생성 및 행동 분류 성능 향상 연구
- Tunable absorptive bandpass filter with two transmission zeros based on image parameter method
- 전처리 기법과 Spiking Neural Network를 이용한 근전도 기반 손동작 분류 모델
- Bio-signal SNN Analytics
- Remote Cognitive Assessment Suite
- Multimodal Anomaly Detection Platform
- Optimization and Advancement of 1D Convolution-based RepVGG Model for Efficient Blood Pressure Prediction
- Peak 간격을 고려한 Graph convolution network 기반 혈압 추정 연구
- 강화학습을 활용한 혈압 예측 모델의 재보정 주기 결정
- 딥러닝 기반 양방향 GRU를 이용한 산업용 사이버-물리 시스템에서의 실시간 이상치 탐지
- 의료 디바이스 보안 강화를 위한 GNN-GRU 이상 감지 모델
- Hierarchical Affinity Propagation for Reliable Integrated Multi-Layer V2X Networks
- Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
- Blood pressure estimation and its recalibration assessment using wrist cuff blood pressure monitor
- Complex-valued neural networks를 통한 호흡 신호 예측
- 심층 스파이킹 신경망 에서의 이미지 분류를 위한 지도 학습 기반 무작위 추출 스파이크 인코딩 알고리즘
- 쿼터니언 컨벌루션 뉴럴 네트워크를 이용한 비디오로부터의 심박수 예측
- 혈압추정모델의 성능향상을 위한 강화학습 모델
- 확산 모델을 이용한 다변량 시계열 생체 신호 생성을 위한 복원 알고리즘
- GAN-based patient information hiding for an ECG authentication system
- Classification Using Spiking Neural Network: A Review
- Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning
- Self-Optimizing Bluetooth Low Energy Networks for Industrial IoT Applications
- Structural Reparameteraization을 활용한 효율적인 실시간 혈압 추정 모델
- 쿼터니언 기반 컨볼루션 신경망을 이용한 얼굴 영상의 심박수 및 SpO2 예측
- Optimal Number of Cardiac Cycles for Continuous Blood Pressure Estimation
- 4-Pole Tunable Absorptive Bandstop Filters Using Folded Coupled-Lines With an Inductor
- Remote SpO2 Estimation using End-to-End CNN Model
- Restoration of Time-Series Medical Data with Diffusion Model
- 부정맥 진단을 위한 재구성 기반 다변량 ECG 시계열 데이터 분석
- 잡음 제거 확산 모델 기반의 시계열 심전도 데이터 보간에 관한 연구
- Broken Heart: Privacy Leakage Analysis on ECG-Based Authentication Schemes
- Design of Spiking Neural Networks for Neuromorphic System
- Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation
- Knowledge Distillation을 이용한 EEG 기반 개인인증
- 그래프 신경망을 이용한 부정맥 분류 알고리즘
- 심층 강화학습을 이용한 심전도 기반 자동 부정맥 분류 및 최적의 특징 탐색
- 연합 학습 모델에서 비정상 클라이언트 클러스터링
- Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals
- 압축 감지된 심전도를 이용한 스파이킹 신경망 기반 심박 수 예측
- Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram
- Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks
- SVR을 이용한 ECG 기반 심박수 추정 Spiking Neural Network
- 얼굴 영상 기반 심박수 추정을 위한 Quaternion Convolution Neural Networks
- End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM
- Effect of a Recliner Chair with Rocking Motions on Sleep Efficiency
- Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation
- Optimal Design of Convolutional Neural Network for EEG-based Authentication
- EEG 단체널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기
- Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning
- 0.7-1.0-GHz Switchable Dual-/Single-Band Tunable Bandpass Filter Using a Switchable J-Inverter Cognitive
- Distributed Channel Assignment for Ultra-Dense Wireless Networks Using Belief Propagation
- Single channel EEG의 Attention을 통한 수면 단계 추정 의사결정지원시스템
- ECG-Based Arrhythmia Detection SNN Algorithm Using STDP and Spike Inference for Smart Health City
- Optimization of Deep Neural Networks for Heart Rate Estimation from Face Video Stream to Implement Smart Health-City
- Beat-to-beat continuous blood pressure estimation using bidirectional long short-term memory network
- Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization
- An Optimal Power Allocation Scheme for Device-to-Device Communications in a Cellular OFDM System
- Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns
- A 1.0 to 1.58-GHz tunable bandpass filter with switchable single-/dual-band responses
- Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality
- Detection of Arrhythmia using 1D Convolution Neural Network with LSTM Model
- Distributed Cell Clustering Based on Multi-Layer Message Passing for Downlink Joint Processing Coordinated Multipoint Transmission
- End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism
- DA-Capnet: Dual Attention for Nailfold Capillary Segmentation
- Optimal Feature Search for Vigilance Estimation Using Deep Reinforcement Learning
- DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation
- Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy
- Arrhythmia Classification Using 1D-2D Conversion
- Blood Pressure Estimation Using Deep Learning based on Attention Mechanism
- End-to-End 딥러닝 기반 부정맥 분류 연구
- 저지연 WSN을 위한 중앙집중형 멀티채널 스케줄링 알고리즘
- 머신러닝을 이용한 이상보행 검출
- Blood Pressure Estimation Based on Convolutional Neural Network using ECG, PPG and BCG
- Data-Driven End-to-End Deep Learning Architecture for Long-Term Blood Pressure Estimation
- Attention 메커니즘을 활용한 CNN-BiGRU 기반 수축기 혈압 추정
- 동작상상 태스크 수행 분류를 위한 강화학습기반 최적의 주성분 추출
- 심전도, 맥파 및 심탄도를 이용한 딥러닝 기반 혈압 추정
- 심전도와 맥파를 이용한 강화학습 기반 혈압 추정 알고리즘
- Multivariate Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Labor
- A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative
- Arrhythmia Classification with Deep Learning
- Reinforcement Learning Personal Authentication System Using ECG Feature
- Unsupervised MNIST data classification using spiking neural network
- YU-NET: An Improved Deep Learning method for Nailfold Capillary Segmentation
- 심전도와 맥파를 이용한 딥러닝 기반 실시간 혈압 추정 연구
- Automated Capillary Image Segmentation using Deep Learning
- Classification of Motor Imagery Tasks Through Optimal Principal Components Selected Using Reinforcement Learning
- Deep CNN-RNN for Motor Imagery Classification
- Drowsiness Monitoring using Deep Reinforcement learning
- Multimodal Drowsiness Detection Method Using Deep Reinforcement Learning
- Nailfold Capillary Segmentation using Deep Learning
- Recurrent Neural Network with EEG Spectrogram for Motor Imaginary Classification
- Multimodal Drowsiness Detection Methods using Machine Learning Algorithms
- Deep ECGNet: An optimal deep learning framework for monitoring mental stress using ultra short-term ECG signals
- A Study on Adjacent Channel Interference and Coexistence in mmWave-Based 5G Systems
- Automatic Malware Detection with Machine Learning Algorithms in a Smart Office Environment
- Recognition of Human Motion with Deep Reinforcement Learning
- Flexible and Printed PPG Sensors for Estimation of Drowsiness
- 딥러닝 뇌파 분석을 통한 멀티미디어 강의 시청 집중도 분류
- 손목 가속도 센서와 머신러닝 알고리즘을 이용한 자동 수면 패턴 분류
- Medical Image & Video Processing
- Motor Cortex Activation Decoding
- Machine learning in biomedical engineering
- Classification of Human Attention to Multimedia Lecture
- Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data
- Flow-based Malware Detection Using Convolutional Neural Network
- Pattern Recognition of Human Arm Movement Using Deep Reinforcement Learning
- Systems and methods for sensory and cognitive profiling
- Drowsiness Detection via EEG/ECG
- Lexical Planning in L2 Sentence Production: Evidence from ERPs
- 멀티미디어 강의 중 집중력이 뇌파에 미치는 영향
- Quaternion Common Spatial Patterns
- A novel method to monitor human stress states using ultra-short-term ECG spectral feature
- Flexible and implantable capacitive microelectrode for bio-potential acquisition
- Automatic Detection of Sleep Stages based on Accelerometer Signals from a Wristband
- Convolutional Neural Network을 이용한 IOT기기의 주관적 수면데이터의 패턴 분석
- Correlation Between Empathy and Experience in Human Emotion from EEG Signal
- Feature Extraction Using Correlation Preserving Transform Based on Complex Common Spatial Patterns
- 강화학습 알고리즘을 통한 팔 동작 패턴 인식
- Estimation of Brain Connectivity during Motor Imagery Tasks using Noise-Assisted Multivariate Empirical Mode Decomposition
- Automated Sleep Scoring Using Accelerometer Data from a Wrist Band
- ECG-based Drowsiness level detection using Hidden Markov Model
- Effects of visual and auditory delta band stimuli on sleep
- Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns
- Self-adhesive and Capacitive Carbon Nanotube-based Electrode to Record Electroencephalograph Signals from the Hairy Scalp
- Stress Measurement Using the Accelerometer
- 낮잠 중 청각 자극을 통한 운동 기억력 고착화에 관한 연구
- Review of Data-Driven Multivariate and Multiscale Methods
- Strong Uncorrelated Transform Applied to Spatially Distant Channel EEG Data
- Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Birth
- A Comparison of Machine Learning Algorithms for EEG-based Emotion Recognition
- Motor Imagery EEG Classification Using Correlation Preserving Complex Common Spatial Patterns Algorithm
- 기계학습 알고리즘을 이용한 뇌전도기반 감정 분류
- 기계학습을 이용한 운동 심상 뇌전도의 분류
- EEG gamma band oscillations differentiate the planning of spatially directed movements of the arm versus eye: multivariate empirical mode decomposition analysis
- A tutorial on empirical mode decomposition in brain research
- Multivariate Extensions of Empirical Mode Decomposition
- Adaptive Multiscale Time-Frequency Analysis
- Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG from Motor Imagery Tasks
- Classification of Motor Imagery EEG using Strong Uncorrelated Transform Complex Common Spatial Patterns
- Classification of Term and Preterm Labor Using Multivariate Empirical Mode Decomposition of EHG Signal
- Epidermal Electronic System for Unobtrusive Sleep Monitoring
- Probabilistic sleep staging algorithms for unobtrusive sleep monitoring with epidermal electronic system
- EMD via MEMD: Multivariate noise-aided computation of standard EMD
- Classification of motor imagery BCI using multivariate empirical mode decomposition
- The In-the-Ear Recording Concept: User Centered and Wearable Brain Monitoring
- Phase-based brain consciousness analysis
- Analysis of EEG responses during rapid pointing under risk and uncertainty
- Real-time electrical measurement of L929 cellular spontaneous and synchronous oscillation
- An in-the-ear platform for recording electroencephalogram
- Estimating Human Response to Taste using EEG
- Power Independent EMG based Gesture Recognition for Robotics
- Time-Frequency Analysis of EEG Asymmetry using Bivariate Empirical Mode Decomposition
- The Complex Local Mean Decomposition
- A Yarbus-Style Experiment to Determine Auditory Attention
- Towards Estimating Selective Auditory Attention From EEG Using A Novel Time-Frequency-Synchronisation Framework
- Measuring Phase Synchrony using Complex Extensions of EMD
- PC-Based Tele-Audiometry
- Development of PD Pattern Recognition in Extra High Voltage Cable
- Classification of Glucose Concentration in Diluted Urine using the Low-Resolution Raman Spectroscopy and Kernel Optimization Method
- Urine analysis in diluted situation using low-resolution Raman spectroscope
- Application of independent component analysis (ICA) method to the Raman spectra processing
- Unconstrained behavioral monitoring system at home
- Urine Analysis in a Toilet Bowl Using Raman Spectroscopy
- Urine Analysis on Diluted Situation using Low-Resolution Raman Spectroscope
- Analysis of the Raman spectra from human urine samples using the PLS and PCR methods