Koki Kawabata
Assistant Professor at Osaka University
Osaka, Japan
Summary
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Senior🎓
Top SchoolKoki Kawabata is an Assistant Professor at Osaka University with 11 years of experience researching time-series models and knowledge discovery from data streams. He holds a PhD in Information Science from Osaka University and master’s and bachelor’s degrees in engineering from Kumamoto University, blending deep academic training with applied research. His work focuses on extracting actionable insights from continuous, high-velocity data, with a particular emphasis on temporal modeling and stream analytics. Based in Osaka, Japan, he brings both theoretical rigor and practical domain knowledge to real-time data problems, often bridging research and implementation. Notably, his profile emphasizes sustained contribution to the niche of data-stream knowledge discovery rather than broad tooling, signaling a commitment to specialized, impact-driven scholarship.
11 years of coding experience
修士（工学）, 修士（工学） at 熊本大学博士（情報科学）, 博士（情報科学） at 大阪大学
Github Skills (15)
survival-analysis10
anomaly-detection9
forecasting9
time-series8
smoothing8
automation7
machine-learning7
python5
jekyll3
ring3
api-client2
api2
windows1
development-kit1
android1
Programming languages (2)
Github contributions (5)
kokikwbt/MLDS
Nov 2018 - Feb 2021
Contributions:2 commits, 19 pushes, 1 branch in 2 years 3 months
kokikwbt/predictive-maintenance
Nov 2021 - Nov 2021
Datasets for Predictive Maintenance
Contributions:22 commits, 11 pushes in 25 days
ai-engineeringanomalyanomaly-detectionautomationcondition-based-maintenance
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