I am a highly skilled Ph.D. candidate in Industrial Engineering, specializing in AI-powered image recognition and robotic path planning algorithms. My expertise in this rapidly evolving field was further enhanced during my Master's research, where I successfully implemented advanced AI techniques to solve image recognition problems. As part of my doctoral research, I designed a 2D robotic simulator for intelligent warehouses, which demonstrates my innovative thinking and algorithmic problem-solving abilities. I have developed a strong analytical mindset throughout my academic career and refined my problem-solving skills. I am excited to apply my capabilities to the Imaging System and Algorithm Engineer role, pushing the boundaries of what's possible in this field.
Bachelor's Education in Material Science and Engineering
Master's Education in Industry Engineering
Doctor's Education in Industry Engineering
1. Supported the instructor in designing, structuring, and overseeing the course Scheduling Algorithms syllabus.
2. Led tutorial groups weekly, delving into the intricacies of complex scheduling algorithms and approaches to solutions.
3. Gave individual support to students during open hours, explaining lecture content and assisting with their homework and group tasks.
4. Scored student work, such as assignments, quizzes, and examinations, providing insightful feedback for each student.
5. Participated in organizing and supervising student exams and other forms of assessments.
6. Served as an intermediary between the student and the professor, responding to student questions,
7. Worked with the professor on research projects centered around scheduling algorithms.
Scholarship of 早稲田オープン・イノベーション・エコシステム挑戦的研究プログラム