IPSJ/IEEE-Computer Society Young Computer Researcher Award

Name of the Award IPSJ/IEEE-Computer Society Young Computer Researcher Award
About the Award The IPSJ and the Institute of Electrical and Electronics Engineers Computer Society (IEEE-CS) established a joint award in 2018 to honor young researchers in the field of computer science for their outstanding achievements and high expectations of their continuing progress.
Selection Process The awardees should be decided annually by the joint award committee which consists of members from both IPSJ and the IEEE-CS. The decision should be confirmed by both societies.
Selection Criteria The awardees should be young researchers who have outstanding achievements such as research presentations, publications and programming as well as high expectations of further achievements in the field of computer science. The awardees should be the members of the IPSJ and the IEEE-CS.
Conferment The award will be presented at a conference organized or hosted by the IPSJ and the IEEE-CS. The certificates will be given at the award banquet.


Atsushi Shimada

Atsushi Shimada (Kyushu University)

Outstanding Research on Real-time Learning Analytics

Atsushi Shimada received the M.E. and D.E. degrees from Kyushu University in 2007. He is an Associate Professor of Faculty of Information Science and Electrical Engineering, Kyushu University. He also works as a JST-PRESTO researcher since 2015. His current research interests include learning analytics, pattern recognition and media processing and image processing. He received MIRU Interactive Presentation Award (2011, 2017), MIRU Demonstration Award (2015), Background Models Challenge 2012 The First Place (2012), PRMU research award (2013), SBM-RGBD Challenge The First Place (2017), ITS Symposium Best Poster Award (2018), JST PRESTO Interest Poster Award (2019). 

Dr. Atsushi Shimada is leading research on real-time learning analytics, which is a combination of learning analytics with real-time processing. Much attention has been paid to learning analytics, which aims at optimization of learning and teaching through analysis of educational big data. He has contributed to develop a digital learning environment containing an e-learning systems and an e-book system for collecting educational big data from onsite lectures, so as to accelerate effective feedback in students’ active learning and teachers’ adaptive teaching. His major contributions are the development of a real-time learning analytics platform and various applications such as learning pattern mining, prediction of academic performance, and recommendation of learning materials. The outstanding achievements are 1) automatic summarization of lecture materials for enhanced preview, 2) stream analytics of educational big data for supporting on-site lectures, and 3) activity analytics of individual students from event stream data.

Takuya Maekawa

Takuya Maekawa (Osaka University)

Outstanding Research on Zero-shot and Few-shot Unobtrusive Context Recognition for Pervasive Computing

Graduate School of Information Science and Technology, Osaka University. Takuya Maekawa received the B.E., M.E., and Ph.D. degrees from Osaka University, Osaka, Japan in 2002, 2003, and 2005, respectively. He joined NTT Communication Science Laboratories in 2006. He is currently an associate professor at Osaka University, Japan. His research interests include ubiquitous computing and wearable sensing. 

Dr. Takuya Maekawa has studied on sensor-based context recognition techniques. Specifically he focuses on human activity recognition and indoor positioning techniques that can be easily applied to an environment of interest with small costs. He has developed practical context recognition techniques with a small number of unobtrusive sensors and machine learning. His major achievements are summarized into three topics, 1) object-based activity recognition with wrist-worn heterogeneous sensors, 2) constructing activity recognition models with small costs using physical characteristics information, and 3) unsupervised factory activity recognition. His research achievements enabling pervasive computing with low costs are highly evaluated by international research community.



Yutaka Arakawa

Yutaka Arakawa (Nara Institute of Science and Technology)

Outstanding Research on Human Behavior Change by Information Technology 

Akira Kawai

Akira Kawai (Shiga University)

Outstanding Research on Intelligent Car Navigation System for Multilevel Parking Facilities


Yukihiko Shigesada

Yukihiko Shigesada (Hosei University)

Outstanding Achievements on International AI Programming Contest "SamurAI Coding"


Press release (Japanese)