Tsuyoshi (Ide-San) Ide Email & Phone Number

I am passionate about modeling real-world business problems using advanced machine learning methods. I have a proven track record of successfully leading customer engagements to deliver innovative AI solutions across various industries. Many of the core algorithms I developed in these projects have been published in leading AI/data mining conferences like AAAI, IJCAI, ICDM, SDM, etc., establishing me as a top expert in AI-powered industry solution development at IBM.Specifically, I am recognized as an expert in anomaly and change detection, demonstrated by a few textbooks I authored on the subject. I am particularly interested in deriving actionable insights from AI algorithms. For example, you can refer to my LinkedIn article where I share my thoughts on the Explainability of AI, based on my recent paper published in AAAI 2021. My recent research interests also include causal discovery from stochastic event data for AIOps (NeurIPS 2021).Since 2023, I have been serving as the Head of Data Science at IBM Semiconductors.Over the course of my 20-year career, I have successfully delivered AI-powered business solutions across a wide range of industries including:✔ Financial (Blockchain and collaborative learning)✔ Automotive (IoT technologies, simulation, fleet management, etc.)✔ Condition-based monitoring of industrial systems (semiconductor manufacturing, oil production, data centers, coal mining, etc.)✔ Healthcare (diabetes data analytics)✔ Transportation (railway, maritime, intelligent transportation systems, etc.)✔ LCD optical design✔ Project risk analysis✔ Power grid failure analysisI am a Japanese citizen and a U.S. Green Card holder. Back in Japan, I was known as a collector of antique computer keyboards. You can check some of my collection of mechanical keyboards on my YouTube channel:https://www.youtube.com/user/prolificscientist/videosI also run a website on the history of modern computer keyboards (in Japanese):https://ide-research.net/keyboard/Enjoy!

Listed skills include Machine Learning, Data Mining, Optimization, Algorithms, and 17 others.