Dr. Akira Kurabayashi is an accomplished Professor in the Department of Information and Biomedical Engineering, Faculty of Engineering at Kagoshima University, Japan. He obtained his Ph.D. in Engineering from the Tokyo Institute of Technology in March 1997. His extensive career has been dedicated to research and education in areas including multimedia signal processing, information security (particularly information hiding and digital watermarking), image processing, and their applications in biomedical engineering. Dr. Kurabayashi's work often focuses on developing robust and efficient algorithms for data embedding, content protection, and medical image analysis. He has a strong publication record in reputable international journals and conferences and is actively involved in mentoring graduate and undergraduate students, contributing significantly to the academic community and the advancement of his research fields.
Akira Kurabayashi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored and co-authored numerous influential papers on digital watermarking, steganography, and reversible data hiding, contributing to the theoretical understanding and practical application of these techniques for copyright protection, content authentication, and secure communication.
Conducted research applying image processing and signal analysis techniques to medical imaging, aiming to improve diagnostic capabilities, such as developing methods for feature extraction and analysis in various biomedical applications.
Successfully supervised numerous Ph.D. and Master's students, guiding their research projects and contributing to the development of skilled professionals in information technology and biomedical engineering.
Regularly publishes research findings in prestigious international conferences (e.g., IEEE ICASSP, ICIP) and journals (e.g., IEEE Transactions on Image Processing, IEICE Transactions), reflecting the quality and impact of his work.
Harvard Business School - Year 2024
Hitotsubashi University - Year 2022
The University of Tokyo - Year 2017
Doshisha University - Year 2013
University of Pennsylvania - The Wharton School - Year 2007
Doshisha University - Year 1993
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