Younghoon Nho
Postdoctoral Researcher
University of Pennsylvania, Department of Neurosurgery
Research Results
Research Interests
Anomaly detection
Biomarker detection
Medical image analysis
Physiological signal analysis
Segmentation
Feature learning
Classification-based situation awareness
Human activity recognition
Sensor-based classification & detection
Robot control & trajectory planning
Internet of things
Healthcare application
Edge computing
Education
Aug/20 Ph.D in Department of Robotics, KAIST (Advisor: Dong-Soo Kwon)
Thesis: GAN-based anomaly detection using fusion of photoplethysmography and accelerometer in a wearable deviceFeb/16 M.Sc in Division of Future Vehicle, KAIST (Advisor: Dong-Soo Kwon)
Thesis: User-adaptive fall detection for patient using wristbandFeb/14 B.Sc in Department of Mechanical Engineering, Hanyang university
Research & Professional Positions
Aug/2021 - Present: Postdoctoral Researcher, Department of Neurosurgery, University of Pennsylvania
Subcortical & Cortical electrophysiology studies
Biomarker discovery of the responsive deep brain stimulation for treatment-resistant OCD patients.
Biomarker discovery of deep brain stimulation for opioid addiction patients.
Electrophysiology-guided optimization for the responsive deep brain stimulation parameters in the loss of control eating patients.
Task-based OCD biomarker discovery for the stereo EEG (SEEG) patients.
Cortical-subcortical evoked potential-based connectivity discovery in SEEG-OCD patients
Cortical-subcortical functional connectivity studies in Parkinson's Disease patients under DBS, medication, and sleep.
Functional connectivity studies in the nucleus accumbens for loss of control eating patients.
Aug/2020 - Apr/2021: Senior Research Engineer, Medical AI team leader in Research&Development Center, EasyEndo Surgical Inc.
Robot control
Motor control on flexible surgery robots
Active inertia, friction, and gravity compensation on multi-degree-of-freedom robots
Bilateral force control between master and slave
Trajectory planning for ureter surgery robot
Anomaly detection in medical applications
Anomaly detection during kidney stone removal surgery
Brain tumor detection in CT/MRI images
Anomaly detection (motor fault or emergency) during robotic surgery using motor current
Hysteresis compensation on flexible surgery robots
Surgical tool segmentation using generative adversarial networks (RGB images to binary segmented images)
Bending angle estimation on a surgical tool using Siamese neural network
Surgical wire feed-forward hysteresis compensation in unknown sheath configuration with optimization
Mar/2014 - Jul/2020: KAIST (Advisor: Dong-Soo Kwon)
Anomaly detection applications
Generative adversarial networks based anomaly detection to detecting falls
Fall detection using traditional machine learning with feature engineering
Personalized detector design in a microprocessor
Classification applications
Safety hook attachment classification using deep neural networks
Touch gesture recognition using convolutional neural networks
Multimodal (speech & facial) emotion recognition using deep neural networks
Self-powered fall detection using pressure sensing triboelectric nanogenerators
Automatic fall detection and prediction using a thermal imagery camera
Human-robot interaction
Driving situation-based real-time interaction with intelligent driving assistance agent
Emotional interaction with a mobile robot using hand gestures
Skills & Techniques
Deep learning (expert)
Generative adversarial networks
Convolutional neural networks
Deep neural networks
Traditional machine learning (expert)
Feature extraction & selection
Clustering (Gaussian mixture models, DBSCAN, Density peak, etc.)
Classification (Multi-layer perceptron, Support vector machine, etc.)
Supervised & Unsupervised metric learning
Signal processing (expert)
Big data analysis & processing
Time-series data, Time- and Frequency-domain data analysis
Filtering & Quantitative analysis with statistics
Sensor & Microprocessor
Sensors: Inertia measurement unit, Heart rate sensor, Scalp & Invasive EEG sensors, Force sensitive register sensor , etc.
Cameras: RGB, Thermal imagery camera, Kinect, LeapMotion, etc.
Microprocessor: ARM, AVR, Arduino (for analog or digital input processing)
Robot control
Current loop control
Trajectory planning
Active inertia, friction, and gravity compensation
Bilateral control
Communication
TCPIP, HTTP, ROS, I2C, EtherCAT
Software
Python, Tensorflow, PyTorch, MATLAB, C/C++, LaTeX, MFC, Adobe illustrator, ROS, IAR Embedded Workbench, QtCreator, CATIA, Solidworks
Publications
Nho, Young-Hoon, Camarin E. Rolle, Uros Topalovic, Rajat S. Shivacharan, Tricia N. Cunningham, Sonja Hiller, Daniel Batista et al. "Responsive deep brain stimulation guided by ventral striatal electrophysiology of obsession durably ameliorates compulsion." Neuron (2023).
Rolle, Camarin E., Grace Y. Ng, Young-Hoon Nho, Daniel AN Barbosa, Rajat S. Shivacharan, Joshua I. Gold, Dani S. Bassett, Casey H. Halpern, and Vivek Buch. "Accumbens connectivity during deep-brain stimulation differentiates loss of control from physiologic behavioral states." Brain Stimulation 16, no. 5 (2023): 1384-1391.
Kyu-Seob Song, S. Kang, D.-G. Lee, Young-Hoon Nho, J.-S. Seo, and Dong-Soo Kwon*. "A motion similarity measurement method of two mobile devices for safety hook fastening state recognition." IEEE Access 10 (2022):8804-8815.
Young-Hoon Nho, D.-H Baek, and D.-S. Kwon*. “ViO-Com: Feed-Forward Compensation using Vision-based Optimization for High-Precision Surgical Manipulation.” IEEE Robotics and Automation Letters 7.1 (2021): 263-270.
Young-Hoon Nho, Semin Ryu, and Dong-Soo Kwon. "UI-GAN: Generative Adversarial Networks based Anomaly Detection using User Initial Information for Wearable Devices." IEEE Sensors Journal (2021), 21: 9949-9958.
U.-J. Yang, D.S. Kim, M.H. Hwang, D.Y. Kong, J.H Kim, Young-Hoon Nho, W.K. Lee, D.-S. Kwon*, “A novel robotic mechanism with mechanical motion scalability for intraocular and reconstructive microsurgeries.” The International Journal of Medical Robotics and Computer Assisted Surgery (2021).
Young-Hoon Nho, Jong Gwan Lim, and Dong-Soo Kwon. "Cluster-Analysis-Based User-Adaptive Fall Detection Using Fusion of Heart Rate Sensor and Accelerometer in a Wearable Device." IEEE Access 8 (2020): 40389-40401.
Young-Hoon Nho, Jeon, S. B., Park, S. J., Kim, W. G., Tcho, I. W., Kim, D., ... & Choi, Y. K. "Self-powered fall detection system using pressure sensing triboelectric nanogenerators." Nano Energy (2017), 41: 139-147.
Academic Activities
Lee, Dong-Guw, Kyu-Seob Song, Young-Hoon Nho, Ayoung Kim, and Dong-Soo Kwon. "Sequential thermal image-based adult and baby detection robust to thermal residual heat marks." In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 13120-13127. IEEE, 2022.
J.-H. Park, J.H. Seo, Young-Hoon Nho, and D.-S. Kwon, Touch Gesture Recognition System based on 1D Convolutional Neural Network with Two Touch Sensor Orientation Settings, 2019 16th International Conference on Ubiquitous Robots (UR) (pp. 65-70). IEEE.
K.-S. Song, Young-Hoon Nho, J.H. Seo, and D.-S. Kwon, Decision-level fusion method for emotion recognition using multimodal emotion recognition information, 2018 15th International Conference on Ubiquitous Robots (UR). IEEE, 2018.
K.-S. Song, Young-Hoon Nho, and D.-S. Kwon, Histogram based fall prediction of patients using a thermal imagery camera, 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2017.
Young-Hoon Nho, J.G. Lim, D.E.Kim and D.-S. Kwon, User-Adaptive Fall Detection for Patients using Wristband, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016.
D.E. Kim, Young-Hoon Nho, and D.-S. Kwon, Automatic Fall Detection Monitoring System Using Thermal Camera, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016.
Young-Hoon Nho, and D.-S. Kwon, User-Adaptive Fall Detecion for Patient using Wristband Accelerometer, 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
Young-Hoon Nho, J.H. Seo, J.Y. Yang, and D.-S. Kwon, Driving situation-based real-time interaction with intelligent driving assistance agent, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2015.
Young-Hoon Nho, J.W. Seo, W.J. Seol, D.-S. Kwon, Emotional interaction with a mobile robot using hand gestures, 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2014.
Awards and Honors
Grand prize for thesis presentation, Hanyang University, Korea (2012)
National Science and Engineering Scholarship (full tuition), Korea Student Aid Foundation, Korea (2010-2013)
Patents
D.-S. Kwon, Young-Hoon Nho, K.-S. Song, “Control method of fall prediction system using a thermal imagery camera” (Korea - Application No.10-2017-0062071)
Young-Hoon Nho, D.-S. Kwon, “Wearable device and server for recognizing patent fall” (Korea - Application No.10-2016-0063883)