IPSJ/ACM Award for Early Career Contributions to Global Research
IPSJ/ACM Award for Early Career Contributions to Global Research
|Name of the Award||IPSJ/ACM Award for Early Career Contributions to Global Research|
|About the Award||The IPSJ and the Association for Computing machinery (ACM) established a joint award in 2018 to honor early career researchers in the field of computing for their outstanding contributions through their international and collaborative research as well as high expectations of their continuing global research.|
|Selection Process||The awardee should be decided annually by the joint award committee which consists of members from both IPSJ and the ACM. The decision should be confirmed by both societies.|
|Selection Criteria||The awardees should have their achievements through their international and collaborative research and high expectations of further collaboration which are contributing in the field of computing. The awardees should be in the stage of their early career (e.g. 10 years or less from their doctor's degrees) at the point of the award. The awardees should be the members of the IPSJ.|
|Conferment||The award will be presented at a national convention or other event organized by the IPSJ. The awardee will be invited to the ACM Award Banquet.|
Jun Kato (AIST,Japan/Arch Inc.)
Pioneering Work in Programming Experience Research for Creativity Support of Both Programmers and Non-ProgrammersDr. Jun Kato (https://junkato.jp) is a senior researcher at the National Institute of Advanced Industrial Science and Technology (AIST) and the technical advisor at Arch, Inc., where he leads Arch Research. He has researched Human-Computer Interaction (HCI), particularly creativity support, and worked on technology transfer, developing and managing public web services. He received his Ph.D. from the Department of Computer Science, The University of Tokyo, in 2014, after working as a research fellow at the Japan Society for the Promotion of Science, Microsoft Research Asia, and as a research intern at Microsoft Research Redmond and Adobe Creative Technologies Lab. He joined AIST as a researcher in 2014 and has been in his current positions since 2018. He received 15 awards, including the Honorable Mention Award at ACM CHI 2013 and 2015. Following his research on extending the user interfaces of programming environments to benefit creators with diverse technical backgrounds, he founded SIGPX, a domestic study group on "Programming Experience (PX)" at the intersection of HCI, programming language, and software engineering research. He served as a committee member for more than 40 international conferences, primarily in the fields of HCI (ACM CHI, UIST) and PX (IEEE VL/HCC, <Programming>, LIVE, PX).
【Recommendation】The world is flooded with programs, and a more efficient way to build programs is needed. He has contributed to improving “Programming Experience (PX),” a technical term he coined in 2016, establishing a new research field through making publications at a wide variety of top-tier ACM conferences, including CHI '13/15/18, UIST '12, DIS '12/17, PLDI '13, and Multimedia '18. He has received awards from ACM at CHI '09/13/15, PLDI '13, SIGGRAPH '09 and served in thirty-five program committees (PCs) of relevant international conferences and workshops such as a founding PC member for PX and a steering committee member for LIVE. He also founded SIGPX, a domestic workshop co-sponsored by Japan ACM SIGCHI Chapter.He has formed a unique research agenda to deliver the benefits of programming to everyone, not only programmers. He has developed programming environments as inclusive, creative, and collaborative platforms for people with diverse backgrounds. The interdisciplinary collaborations with international researchers have influenced this view, such as research internships at Microsoft and Adobe and collaborations with UC Boulder and MIT. He has also impacted society through four publicly-available web services (TextAlive, Griffith Sketch, Songle Sync, and f3.js) and his technical advisor role at Arch, an animation production company.
Koji Yatani (The University of Tokyo)
Mobile Interactive Systems for Intellectual Productivity SupportDr. Koji Yatani (http://yatani.jp) is an Associate Professor and 2017 UTokyo Excellent Young Researcher at The University of Tokyo , where he leads Interactive Intelligent Systems Laboratory (https://iis-lab.org). His main research interests lie in Human-Computer Interaction (HCI) and Ubiquitous Computing. His current research focuses on productivity/creativity support, sensing technologies and their applications, and usable security. Dr. Koji Yatani received his B.Eng. and M.Sci. from University of Tokyo in 2003 and 2005, respectively, and his Ph.D. in Computer Science from University of Toronto in 2011. On November 2011, he joined HCI group at Microsoft Research Asia in Beijing, China. Dr. Koji Yatani was the recipient of several important awards. He received RIEC Award in 2019 for his research on productivity support tools. He also received two Best Paper awards at CHI (2011 and 2016) as well as four Honorable Mention Awards at CHI (2014) and MobileHCI (2014). He also contributes to the HCI research community through his services as a Program co-Chair for ACM UbiComp (2015) and one of the founding Editor for Proceedings of ACM Interactive, Mobile, Wearable and Ubiquitous Technology (2016 -- 2020). He is currently the Steering Committee chair for ACM UbiComp.
Dr. Yatani has made a series of significant contributions on designing and evaluating mobile interactive systems for supporting people’s intellectual productivity. He has developed and validated various interactive systems which turn smartphones, which were initially designed as a communication device, into intellectual productivity support tools. Specifically, he deeply investigated three activities where intellectual productivity is critical: 1) decision-making using online user-generated reviews; 2) presentation rehearsals and delivery; and 3) college students’ study. His research outcomes demonstrate strong values of mobile interactive systems that combine computational linguistics, algorithms and interface designs for intellectual productivity support, and his international visibility and recognition are outstanding.
Yasutaka Kamei (Kyushu University)
Research on Mining Software Repositories (MSR) to Improve Software Quality AssuranceYasutaka Kamei is an associate professor at Kyushu University in Japan. He has been a research fellow of the JSPS (PD) from July 2009 to March 2010. From April 2010 to March 2011, he was a postdoctoral fellow at Queen's University in Canada. From April 2011 to February 2015, he was an assistant professor at Kyushu University. His research interests include empirical software engineering, open source software engineering, and mining software repositories (MSR). He was awarded such as ESEM 2007 Best Paper Award, MSR 2014 Distinguished Paper Award, and IPSJ 2015 Outstanding Paper Award. He received the B.E. degree (2005) in Informatics from Kansai University, and the M.E. degree (2007) and Ph.D. degree (2009) in Information Science from Nara Institute of Science and Technology. He is a member of the ACM, the IPSJ, and the IEICE and a senior member of the IEEE.
Dr. Yasutaka Kamei has played a major role in the Mining Software Repositories (MSR) research field, which advocates for evidence-based recovery and modeling of software quality by analyzing large-scale software development datasets. Since his early days as a PhD student, Dr. Kamei has significantly contributed to developing novel knowledge and theory in the area. For example, Dr. Kamei proposed sampling methods that enhance a bug prediction dataset independent of a particular bug prediction model. Dr. Kamei has accomplished his outstanding contributions in the MSR field through global research. Based on his global research network, he has published a number of papers that are coauthored with 39 international researchers at 20 institutions in 9 countries. He has contributed the community through organization of international conferences like MSR2018 as Program Co-Chair.
Yasuko Matsubara (Kumamoto University)
Research on Analysis of Time-series Data and Nonlinear Dynamic Systems