ata is the oil of the 21st century. In addition to digital platforms such as GAFA, many companies/organizations have developed their own ICT technologies to generate, collect and monetize various digital information in the name of digital transformation. With the aim of improving people’s lives and security, our laboratory is conducting the following research projects on big data analysis using machine learning:1) Development of machine learning models for privacy-preserving data mining using homomorphic encryption, 2) Machine learning approaches to cybersecurity to enable global monitoring of cyberattacks, including cyberattack detection/ classification, malicious website/JavaScript exploration and darknet traffic analysis (see Fig. 1), 3) Financial document analysis to forecast market trends using machine learning, 4) Image sensing methods to observe growth states of plants for smart agriculture (see Fig. 2), 5) Visualization methods for high-dimensional big data and its applications.Our laboratory is committed to contributing towards the achievement of global SDGs through big data analysis and AI.Figure 1 t-SNE visualization of scanning attacks being conducted on the internet.Figure 2 An example of soybean flower detection results.Fusion direct power generation simulatorDRESEARCHTOPIC: AI AND BIG DATA ANALYSIS(DIVISION OF COMPUTER AND INFORMATION ENGINEERING, INTELLIGENT LEARNING THEORY GROUP)
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