Yasunori Yamada

Yasunori Yamada is a Senior Research Scientist and technical lead for the Digital Health group, IBM Research - Tokyo. He received his Ph.D. in Information Science & Technology from the University of Tokyo and joined IBM in 2015. His research interests include neuroscience, embodied intelligence, cognitive science, behavioral science, and digital health.

External Awards

• Best Paper Award
  • IEEE International Conference on Digital Health (2023)
• 1st Prize, IEEE LifeTech 2021 Excellent Paper Award for Oral Presentation
  • IEEE 3rd Global Conference on Life Sciences and Technologies (2021) 
• Best Paper Award (First Place Best Paper)
  • The 7th International Conference on the Human Side of Service Engineering (2020)
• Best Paper Award
  • The 16th Conference on Artificial Intelligence in Medicine (2017)
• Dean Prize
  • The University of Tokyo, Grad. School of Information Science & Technology (2015)
• Young Researcher Presentation Award
  • The summer workshop of comprehensive brain science network (2013)
• Paper of Excellent Award
  • The 2nd joint IEEE International Conference on Development and Learning-EpiRob (2012)
• IEEE Computational Intelligence Society Outstanding Student Paper Travel Grant Award
  • The 2nd joint IEEE International Conference on Development and Learning-EpiRob (2012)
• NSF Temporal Dynamics of Learning Center Travel Grant Award
  • The 2nd joint IEEE International Conference on Development and Learning-EpiRob (2012)
• Poster Award
  • The 12th Annual Meeting of the Japanese Society of Baby Science (2012)

Invited Talk

• 'Digital Health - Behavioral analysis for neurological disorders and mental health,
  at the 20th seminar of Yocho-gaku, Nagoya University, Nov, 2024.

• 'Speech and language analysis for early detection of Alzheimer’s disease',
  in Asia-Pacific Association for Machine Translation, Jul, 2024.

• 'Behavioral analysis for early detection of Alzheimer’s disease',
  in Regional IPA/JPS Meeting, Sep, 2021.

• 'Behavioral features for elderly health monitoring',
  in Rapid-2018 (Workshop of LREC), May, 2018.

• Workshop of Scientific Approach for Philosophical Issues of Mind, December, 2017.

• 'Simulating cortical learning of the human fetus via sensorimotor experiences',
  in the 59th Annual Meeting of the Japanese Society of Child Neurology, June, 2017.

• Workshop about Machine Learning, Information Theory, and Neuroscience, March, 2017.

• 'An Embodied Brain Model of the Human Fetus',
  in the 4th International Symposium on Cognitive Neuroscience Robotics, March, 2017.

• 'Brain and musculoskeletal models for motor and cognitive deficits'
  in Computational Biology Seminar at IBM Thomas J. Watson Research Center, Jul, 2016

• 'Large-scale cortical simulation for human development & brain disorders'
  in Computational Biology Seminar at IBM Thomas J. Watson Research Center, Feb, 2016.

Biography

• BS of Engineering (2010)
  The University of Tokyo, Japan

• MA of Information Science & Technology (2012)
  The University of Tokyo, Japan

• Ph.D. student (2012-2015)
  Grad. School of Information Science & Technology, The University of Tokyo, Japan

• A research fellow (2012-2015)
  in Japan Society for the Promotion of Science (JSPS)

• Researcher (2015-)
  in IBM Research - Tokyo

• Research of my phD http://www.isi.imi.i.u-tokyo.ac.jp/~y-yamada/index.html