⛳️ Vision
We research artificial intelligence, robotics, digital twin technologies and their integration, aiming for the development of industrial AI and energy AI.
인공지능, 로보틱스, 디지털 트윈 기술과 이들의 융합을 연구하여 산업용 AI와 에너지 AI의 발전을 목표로 합니다.
Industrial & Energy data (Multi-variate Time series data)
There are various types of data in the real world, and one major branch in the field of industry is multivariate time series data.
We mainly deal with multivariate tabular and time-series data using data-driven methodologies.
Time-series forecasting & control
Control over systems is essential in a variety of industrial applications which involves decision-making process.
In this regard, forecasting is an essential part for better decision making.
We aim to develop more accurate and effective time-series forecasting models across domains by utilizing deep learning models.
In addition, we study forecasting aided control system.
Anomaly detection
Anomaly detection is the task of classifying unknown samples as normal or abnormal.
Anomalies are rare, but when they occur, they can have a significant negative impact on various domains.
We develop data-driven anomaly detection models for tabular and time-series data using deep & machine learning techniques.
Augmented Intelligence with AR/VR
In the past, human workers must know the language of computer systems in order to access information in digital space.
Recent advancements in artificial general intelligence (AGI) helps the machine to understand the language of human.
Combining augmented reality, large language models and deep learning applications, we research augmented intelligence technology for industry 4.0.
