I'm a Postdoctoral Research Fellow at the Singapore University of Technology and Design (SUTD). I received the Ph.D. degree in Electrical Engineering and Computer Science from the Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea, in 2017, on the topic of User Interest Modeling in Social Media for Personalized Services. After that, I worked as a Research Scientist at Seoul National University Hospital (SNUH), South Korea, and a Postdoctoral Research Fellow at Korea National University of Transportation (KNUT), South Korea, working on several projects including medical image segmentation/classification, fruit freshness classification, face mask detection, anomaly detection, knowledge distillation, etc. Also, I worked as a lounge pianist and composed his own works for solo piano, some of which are available on iTunes and Spotify etc. I'm currently working on music generation for video based on a dataset of music videos.

Education

Ph.D. Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST) (Mar. 2009 - Feb. 2017)
- Thesis: User Interest Modeling in Social Media for Personalized Services
  Advisor: Prof. Hyunju Lee; Committee: Kuk-Jin Yoon, Sung-Hee Lee, Sung Chan Jun, Xing Xie
  Formal Advisor: Prof. Kwang Mong Sim
B.S. Computer Engineering, Changwon National University (CWNU) (Mar. 2005 - Feb. 2009)

Work Experiences

Post-doctoral Researcher, Singapore University of Technology and Design (SUTD), Singapore (Dev. 2021 - Present)
Post-doctoral Researcher, Korea National University of Transportation (KNUT), South Korea (Jun. 2019 - Nov. 2021)
Research Scientist, Seoul National University Hospital (SNUH), Seoul, South Korea (Apr. 2018 - Mar. 2019)

Honors and Awards

Best Paper Reward (Grand Prize), Next Generation Computing Conference (2021)
First Runner Up, Online Hackathon “AI Data for Panoramic Image of Road Environment” (2020)
Qualcomm-GIST Innovation Award (IT Research Paper Award), School of EECS, GIST (Supported by Qualcomm) (2016)
National Full-ride Scholarships, GIST (2009-2016)
Student Travel Award, IEEE International Conference on Data Engineering (ICDE) (2015)
First Runner Up, CWNU Programming Contest (2006)
CWNU “NURI” Scholarships for Outstanding Students , CWNU, (2006-2009)

Professional Activities

Reviewer in IJCC, ICCAIS, IJCVR, IJMTM, INRT, and PLOS One
Teaching Assistant, Courses: Computer programming (2005), Programming Language Project (2006), Data Processing (2006) in CNU

Publications

International Journal

Jaeyong Kang*, YoungHoon Jeon*, Jong-In Song, Jeonghwan Gwak, “Smart Insole-based Classification of Alzheimer's Disease using Multi-scale Relation Network” (Submitted) (* equal contribution)
YoungHoon Jeon*, Jaeyong Kang*, Jong-In Song, Jeonghwan Gwak, “Machine learning based detection model of early Alzheimer’s Disease using wearable device and gait assessment” (Submitted) (* equal contribution)
Jaeyong Kang, Jeonghwan Gwak, “Ensemble of Multi-task Deep Convolutional Neural Networks using Transfer Learning for Fruit Freshness Classsification” (Submitted).
Jaeyong Kang, Zahid Ullah, Jeonghwan Gwak, “MRI-based Brain Tumor Classification using Ensemble of Deep Features and Machine Learning Classifiers”, Sensors, 2021.
Jaeyong Kang, Jeonghwan Gwak, “Ensemble Learning of Lightweight Deep Learning Models using Knowledge Distillation for Image Classification”, Mathematics, 2020.
Junho Ahn, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak, “Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews”, Journal of Medical Imaging and Health Informatics, 2020.
Jaeyong Kang, Jeonghwan Gwak, “Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images”, IEEE Access, 2019.
Jaeyong Kang, HongSeok Choi, Hyunju Lee, “Deep Recurrent Convolutional Networks for Inferring User Interests from Social Media”, Journal of Intelligent Information Systems, 2019.
Jaeyong Kang, Hyunju Lee, “Modeling User Interest in Social Media using News Media and Wikipedia”, Information Systems, 65, 52-64, 2017.
Jaeyong Kang, Kwang Mong Sim, “Ontology-enhanced Agent-based Cloud Service Discovery”, International Journal of Cloud Computing. 2016.
Jaeyong Kang, Kwang Mong Sim, “A Multiagent Brokering Protocol for Supporting Grid Resource Discovery”, Applied Intelligence, 37(4), 527–542, 2012.

International Conference

Zahid Ullah, Thi Kieu Khanh Ho, Hyunseok Lim, Jaeyong Kang, Jeonghwan Gwak, "COVID-19 Detection with a Semi-Supervised Adversarial Autoencoder in Chest Radiographs", The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), 2021 (Accepted)
Thi Kieu Khanh Ho, Hyunseok Lim, Jaeyong Kang, Jong-In Song, Jeonghwan Gwak, "A CNN-LSTM Model for Alzheimer’s Disease Multi-Class Classification using Multichannel EEG", The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), 2021 (Accepted)
Thi Kieu Khanh Ho, Zahid Ullah, Inki Kim, Hyunseok Lim, Jaeyong Kang, Jeonghwan Gwak, "Feature Integration for COVID-19 Classification using Chest Radiography", The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021), 2021 (Accepted)
Jaeyong Kang, Jeonghwan Gwak, “KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation”, Proc. of MediaEval, 2020.
Jaeyong Kang, Kwang Mong Sim, “A Cloud Portal with A Cloud Service Search Engine”, Proc. of the 2011 International Conference on Information and Intelligent Computing (ICIIC’11), Hong Kong, 2011.
Jaeyong Kang, Kwang Mong Sim, “Towards Agents and Ontology for Cloud Service Discovery”, Proc. of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC’11), Beijing, China, 2011.
Jaeyong Kang, Kwang Mong Sim, “Ontology and Search Engine for Cloud Computing System”, Proc. of the 2011 International Conference on System Science and Engineering (ICSSE’11), Macau, China, 2011.
Jaeyong Kang, Kwang Mong Sim, “Cloudle: An Ontology-enhanced Cloud Service Search Engine”, Proc. of the 2010 International Workshop on Cloud Information System Engineering (CISE’10), Hong Kong, 2010.
Jaeyong Kang, Kwang Mong Sim, “Cloudle: A Multi-criteria Cloud Service Search Engine”, Proc. of the 2010 IEEE Asia-Pacific Service Computing Conference (APSCC’10), Hangzhou, China, 2010.
Jaeyong Kang, Kwang Mong Sim, “Cloudle : An Agent-based Cloud Search Engine that Consults a Cloud Ontology”, Proc. of the 2010 International Conference on Cloud Computing and Virtualization (CCV’10), Singapore, 2010.
Jaeyong Kang, Kwang Mong Sim, “A Brokering Protocol for Agent-Based Grid Resource Discovery”, Proc. of the 2009 International Conference on Grid and Distributed Computing (GDC’09), Jeju Island, Korea, 2009.

Domesctic Journal

Jaeyong Kang, Jeonghwan Gwak, “Embedding similarity-based anomaly detection in crowd scenes via object-centric augmentation”, Journal of The Korea Society of Computer and Information, 2021
Jaeyong Kang, Jeonghwan Gwak, “Adaptive Face Mask Detection System based on Scene Complexity Analysis”, Journal of The Korea Society of Computer and Information, 2021

Domestic Conference

Jaeyong Kang, Hyunseok Lim, Dongwook Min, Zahid Ullah, Jeonghwan Gwak, "Anomaly detection system using ResUNet++ based image inpainting method", Next Generation Computing Conference 2021, Gwangju, Korea, 2021. (Best Paper Reward)
Jaeyong Kang, Hyunseok Lim, Xufeng Hu, Jeonghwan Gwak, "Embedding similarity-based crowd anomaly detection using object centric augmentation", Next Generation Computing Conference 2021, Gwangju, Korea, 2021.
Jaeyong Kang, Hyunseok Lim, Inki Kim, Zahid Ullah, Jeonghwan Gwak, "Effective data preprocessing for a reconstruction model-based anomaly detection", Next Generation Computing Conference 2021, Gwangju, Korea, 2021.
Dongwook Min, Hyunseok Lim, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak, "Cough Detection System Using Deep Learning", Next Generation Computing Conference 2021, Gwangju, Korea, 2021.
Hyunseok Lim, Mingyu Kim, Jaeyong Kang, Jeonghwan Gwak, "Performance Comparison of SSIM loss function applied in the GAN-based anomaly detection system", Next Generation Computing Conference 2021, Gwangju, Korea, 2021.
Inki Kim, Hyunseok Lim, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak, "Imbalanced Dataset training techniques with Hard negative mining and Sample Selection", Next Generation Computing Conference 2021, Gwangju, Korea, 2021.

Patents

Hyunju Lee, Jaeyong Kang, “Method for Modeling User Interest in Social Media” (2017) (Korean Domestic; 1017679510000)