Advanced Intelligent Systems Laboratories

Master in Engineering
System Engineering Lab

Research Area:

• ● Machine learning
• ● Energy solution
• ● Healthcare

Papers:

• ● "A proposal for improvement of genotyping performance for ethnically homogeneous population using DNA microarray", Engineering in Medicine and Biology Society (EMBC), Milano, Italy; August, 2015
• ● "Proposal of classification for time series data using L1 regulation", et al., The Institute of Electronics, Information and Communication Engineers (IEIEC), Nagoya, Japan; March, 2017 (in Japanese)
• ● "Study of sensing method for motion", Sensing Forum of the Society of Instrument and Control Engineers (SICE), Kumamoto, Japan; August, 2017 (in Japanese)
• ● "Application of transfer learning to smallscale data and its evaluation using open datasets", Information-Based Induction Sciences (IBIS), Tokyo, Japan; November, 2017 (in Japanese)
• ● "Prediction of energy consumption for the recommendation system to electric vehicles users using automatic construction of regression models", Electronics, Information and Systems Institute of Electrical Engineers of Japan (IEEJ), Sapporo, Japan; September, 2018 (in Japanese)
• ● "Prediction of energy consumption for new electric vehicle models by machine learning", ITS World Congress (ITSWC), Copenhagen, Denmark; September, 2018
• ● "Predicting energy consumption for various electric vehicles using actual driving data", Electronics, Information and Systems Institute of Electrical Engineers of Japan (IEEJ), Okinawa, Japan; September, 2019 (in Japanese)
• ● "Automatic construction of prediction models for energy consumption of various electric vehicles under various driving conditions", ITS World Congress (ITSWC), Singapore; October, 2019
• ● "Model tree for binary classification using sensor data by behaviors", Institute of Electrical Engineers of Japan (IEEJ), Tokyo, Japan; March, 2019 (in Japanese)
• ● "Prediction of energy consumption for new electric vehicle models by machine learning", IET Intelligent Transport Systems, Vol. 12(9), pp.1174-1180, July, 2018
• ● "Proposal of assistant system for self-rehabilitation at home based on decision tree; study of sanding task", IEEJ Transaction on Electronics, Information and Systems, Vol.139(7), pp.766-773, July, 2019 (in Japanese)
• ● "Study on energy consumption prediction by demonstration experiment for EV charging navigation system", IEEJ Transaction on Electronics, Information and Systems, Vol.140(2), pp.164-173, February, 2020 (in Japanese)

Patents (Issued ones only):

• ● P6367473, "Genotyped determination device and method"
• ● P6616791, "Sensor design support apparatus, sensor design support method and non-transitory computer readable medium"

Awards/Prizes:

• ● 2018 ITS World Congress Best Scientific Paper Award (Asia-Pacific region)
• ● 2018 IEEJ Excellent Presentation Award

Membership:

• ● Institute of Electrical Engineers of Japan (IEEJ)