Tetsuya Idota, PhD, is a software engineer with experience in robotics and software development. Tetsuya currently works at Bear Robotics as a software engineer. Prior to that, Tetsuya worked as a graduate teaching assistant at the University of Hawaii at Manoa, where they trained undergraduate students in software engineering techniques and automated grading tasks. Tetsuya also worked as a robotics intern at Kaarta, where they developed software for a real-time 3D mapping device and improved the smoothing process. Tetsuya also gained experience as a software engineering intern at the Open Source Robotics Foundation, where they created new features for the Gazebo Simulator. Additionally, they worked as a graduate teaching assistant at the South Dakota School of Mines and Technology, where they guided students in building mobile robot platforms and learning advanced materials in data structures and operating systems.
Tetsuya Idota, PhD, has a strong educational background in computer science. Tetsuya obtained their Bachelor of Science (B.S.) in Engineering with a focus on Information Systems Science from Soka University in 2010. Following this, they pursued a Master of Science (M.S.) degree in Computational Sciences and Robotics at South Dakota Mines from 2012 to 2015.
Continuing to advance their academic career, Tetsuya attended the University of Hawaii at Manoa from 2015 to 2022, where they earned a Doctor of Philosophy (PhD) in Computer Science. During their time at the University of Hawaii, they likely conducted extensive research, further specializing in their field of study.
In addition to their formal education, Tetsuya Idota also obtained several certifications to enhance their knowledge and expertise. Tetsuya completed courses in Machine Learning, Robotics: Aerial Robotics, and Robotics: Computational Motion Planning on Coursera in 2017.
Overall, Tetsuya Idota's educational history showcases their commitment to academic excellence and their dedication to continually expanding their skills in computer science, particularly in the domains of computational sciences, robotics, and machine learning.
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