Hi there👋, We are a Data Analytics Lab in Dongguk University WISE, South Korea. Our research interests include Deep Learning, Data Mining, Machine-Learning, Playing Related Musculoskeletals (PRMDs), Automatic Composition, Music E-Learning, Sound-Data Analysis, Music Information Retrieval (MIR).

Team	Name	Position	GitHub	Blog	Research Interests
	So-Hyun Park	Assistant Professor CV	Here	To be added	Artificial Intelligence, Big Data, Database
	Yeong-Min Ko	Undergraduate Researcher	GitHub	Tistory	Artificial Intelligence, Piano Performance Evaluation, Exercise Posture Evaluation
	Min-Seo Park	Undergraduate Researcher	GitHub	Tistory	Artificial Intelligence, Piano Performance Evaluation
	Chan-Yeob Park	Undergraduate Researcher	GitHub	Tistory	Artificial Intelligence, Piano Training Environment on Vitual/Augmented Reality
	Jae-Heon Chung	Undergraduate Researcher	GitHub	To be added	Artificial Intelligence, Piano Training Environment on Vitual/Augmented Reality

1. [SCI, IF: 2.474] So-Hyun Park et al., "A Deep Learning Approach to Analyze Airline Customer Propensities: The Case of South Korea", Applied Sciences (MDPI), Vol. 12, No. 4, Accepted on 7 February 2022, Published on 12 February 2022.
2. [SCI, IF: 2.474] So-Hyun Park et al., "An Analytic Method for Improving the Reliability of Models Based-on a Histogram for Prediction of Companion Dog’s Behaviors", Applied Sciencess (MDPI), Vol. 11, No. 22, Accepted on 16 November 2021, Published on 22 November 2021.
3. [SCI, IF: 2.474] So-Hyun Park et al., "A Technique of Recursive Reliability-Based Missing Data Imputation for Collaborative Filtering", Applied Sciences (MDPI), Vol. 11, No. 8, Accepted on 16 April 2021, Published on 20 April 2021.
4. [SCIE, IF: 2.044] So-Hyun Park et al., "UB-H: an unbalanced-hierarchical layer binary-wise construction method for high-dimensional data". Computing (2021) (SPRINGER), Accepted on November 12, 2020, Published January 06, 2021.
5. [SCIE, IF: 2.474] So-Hyun Park et al., "AV-TFN: Audio-Visual Tensor Fusion Network for Piano Posture Classification", Applied Sciences (MDPI), Vol. 10, No. 19, Accepted on September 28, 2020, Published on September 29, 2020.
6. S. H. Park et al., “A Feasibility Test on Preventing PRMDs based on Deep Learning,” The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), pp. 10005-10006, Hawaii, USA, January 2019.7.
7. [SCIE, IF: 0.906] So-Hyun Park et al., "A Feasibility Study of Ballet Education using Measurement and Analysis on Partial Features of Still Scenes," International Journal of Distributed Sensor Network (SAGE), Vol. 12, No. 12, Published on December 9, 2016.
8. [SCIE, IF: 0.180] So-Hyun Park et al., "A Kinect Based Piano Education System for Correction of Pianist Posture," Asia Life Science Journal, Supplement 12: pp. 571-586, Published on December, 2015.

1. Research on development of artificial intelligence technology for untact music education in a mass environment

• Project Leader (by Ministry of Science and Technology Information and Communication)
• Title: Research on development of artificial intelligence technology for untact music education in a mass environment
• Duty : Research & Development, Administrative Processing
• Period : 03/2021 - 02/2026

2. A Study on relationship between piano playing posture and sound based on LSTM

• Project Leader (by Ministry of Education)
• Duty : Research & Development, Administrative Processing
• Period : 09/2019 - 02/2020

3. A study on the piano education system for children using Kinect

• Project Leader (by Department of Science, ICT and Future Planning)
• Duty : Research & Development, Administrative Processing
• Period : 05/2015 - 10/2015