Name

AOKI Kota

Affiliation

Faculty of Engineering , Electrical Engineering and Computer Science

Title

Associate Professor

Research areas, keyword

Computer Vision, Pattern Recognition, Image Processing, Medical Imaging

Degree

• Doctor of Engineering , Tokyo Institute of Technology , Coursework , 2006.03

External Career

• Tokyo Institute of Technology , Imaging Science & Engineering Laboratory, Researcher , 2006.04 - 2006.11

• Tokyo Institute of Technology , Imaging Science & Engineering Laboratory, Research Assistant , 2006.12 - 2007.03

• Tokyo Institute of Technology , Imaging Science & Engineering Laboratory, Assistant Professor , 2007.04 - 2016.04

• Osaka University , The Institute of Scientific and Industrial Research, Project Lecturer , 2016.05 - 2021.12

• Osaka University , The Institute of Scientific and Industrial Research, Project Associate Professor , 2022.01 - 2024.03

Academic Society Joined

• THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS , JAPAN , 2003.02 -

• THE INSTITUTE OF IMAGE INFORMATION AND TELEVISION ENGINEERS , JAPAN , 2014.04 -

Research Field (grants-in-aid-for-scientific-research classification)

• Intelligent informatics

Acceptable Theme for Cooperative Research

• Medical / Biological Image Analysis , Computer Vision, Pattern Recognition

Consultation field

• Medical / Biological Image Analysis, Image Recognition, Human Motion Analysis

Research Achievement (Published Thesis)

• Combining Digital Ultrasound Images and Individual Information for Beef Marbling Standard Estimation of Live Cattle , Yuito Higuchi, Yoshio Iwai, Kota Aoki , 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE) (p.469 - 472) , 2024.10 , There is Review , The Multiple Authorship , English

• Investigation and evaluation of a high-resolution image prediction method using autoencoders and integer wavelets , Koutarou Abe, Yoshio Iwai, Kota Aoki , 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE) (p.1002 - 1005) , 2024.10 , There is Review , The Multiple Authorship , English

• Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning , Ikebe M., Aoki K., Hayashi-Nishino M., Furusawa C., Nishino K. , Front. Microbiol. , vol.15 , 2024.09 , There is Review , The Multiple Authorship , English

Oral Presentation

• 27th Meeting on Image Recognition and Understanding (MIRU2024) , 2024.08 , The Domestic Conference , The Poster (generality)

• 27th Meeting on Image Recognition and Understanding (MIRU2024) , 2024.08 , The Domestic Conference , The Poster (generality)

Updated on 2024/11/29