Update: Information about the poster presentation has been added.

Overview

Date

Tuesday, September 24, 2024,

Time

9:30 AM - 5:30 PM (Doors open at 9:00 AM)

Venue

Fujisoft Akihabara Plaza, 5th Floor, Akiba Hall (3 Neribeicho, Chiyoda-ku)
Participation Fee:Free, pre-registration required.
Capacity:180 participants for the on-site lecture.
*There will be no online streaming.

Click here to apply

For inquiries

Japan Science and Technology Agency, Department of Research Promotion, ICT

Group E-mail

crest-interaction[at]jst.go.jp
*Replace [at] with @.

Speakers

• 

  Trevor Darrell

  Professor, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley

  Professor Darrell is on the faculty of the CS Division at UC Berkeley. His group develops algorithms to enable visual recognition across a variety of platforms and applications. His interests include computer vision, machine learning, computer graphics, and perception-based human computer interfaces. Prof. Darrell was on the faculty of the MIT EECS department from 1999-2008, where he directed the Vision Interface Group. He was a member of the research staff at Interval Research Corporation from 1996-1999, and received the S.M. and Ph.D. degrees from MIT in 1992 and 1996, respectively. He obtained the B.S.E. degree from the University of Pennsylvania in 1988, having started his career in computer vision as an undergraduate researcher in Ruzena Bajcsy’s GRASP lab.

• 

  Kenji Mase

  Emeritus Professor, Nagoya University

  Kenji Mase received the B.E. degree in Electrical Engineering and the M.E.and Ph.D. degrees in Information Engineering from Nagoya University in 1979, 1981 and 1992 respectively. He became professor of Nagoya University in August 2002. He is now Professor Emeritus of Nagoya University and a designated professor of Mathematical and Data Science Center. He is a Research Supervisor of JST CREST on Symbiotic Interactions since 2017. He joined the Nippon Telegraph and Telephone Corporation (NTT) in 1981 and had been with the NTT Human Interface Laboratories. He was a visiting researcher at the Media Laboratory, MIT in 1988-1989. He has been with ATR (Advanced Telecommunications Research Institute) in 1995-2002. His research expertise includes image processing, its application to multi-modal human-computer interaction, AI, wearable computers, lifelog, interaction corpus and so on. He is a Fellow of Institutes of Electronics, Information and Communication Engineers (IEICE) of Japan, and member of the Information Processing Society of Japan (IPSJ), Japan Society of Artificial Intelligence (JSAI), and a senior member of IEEE Computer Society. He was a Section Chair of IEEE Nagoya Section in 2014-2015. He was the 24th and 25th associate member of Science Council of Japan.

• 

  Takayuki Kanda

  Professor, Graduate School of Informatics Kyoto University
  Invited Group Leader, Advanced Telecommunications Research Institute International

  Takayuki Kanda is a professor in Informatics at Kyoto University, Japan. He is also a Visiting Group Leader at ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan. He received his B. Eng, M. Eng, and Ph. D. degrees in computer science from Kyoto University, Kyoto, Japan, in 1998, 2000, and 2003, respectively. He is one of the starting members of Communication Robots project at ATR. He has developed a communication robot, Robovie, and applied it in daily situations, such as peer-tutor at elementary school and a museum exhibit guide. His research interests include human-robot interaction, interactive humanoid robots, and field trials.

• 

  Hideki Koike

  Professor, School of Computing Tokyo Institute of Technology

  HIDEKI KOIKE is a professor at the School of Computing, Tokyo Institute of Technology, Japan. He received his B.E., M.E., and Ph.D. degrees from the University of Tokyo in 1986, 1988, and 1991, respectively. After working at the University of Electro-Communications, Tokyo, he joined the Tokyo Institute of Technology in 2014. During his career, Prof. Koike was a visiting researcher at the University of California, Berkeley (1994), the University of Sydney (1997), and a Cabinet Secretary of Japan (2002). His research interests include vision-based human-computer interaction, human augmentation, interactive surfaces, projector-camera systems, information visualization, and usable security. Prof. Koike is the recipient of numerous awards, including the IEEE Transactions on Haptics Best Application Paper Award (2021), ACM SIGGRAPH VRCAI Best Paper Award (2019), Laval Virtual Grad Prix Award and Interface and Materials Award (2013), and many Honorable Mention and Best Demo Awards.

• 

  Atsushi Nakazawa

  Professor, Faculty of Interdisciplinary Science and Engineering in Health Systems Okayama University

  Atsushi Nakazawa is an professor in the Graduate School of　Interdisciplinary Science and Engineering in Health Systems. He　received his doctorate from the Osaka University in 2001 in Systems　Engineering. Afterward, he worked at the Institute of Industrial　Science, University of Tokyo, and then in Cybermedia Center, Osaka　University. From 2013, he joined Kyoto University. From 2007 to 2008,　he studied at Georgia Institute of Technology (GaTech), GVU Center, as　a visiting researcher, and worked with Professor James M Rehg and　professor Irfan Essa. From Oct. 2017, he becomes a program　investigator (PI) of the JST CREST project "Computational and　cognitive neuroscientific approaches for understanding the tender care". His research interests are in human behavior/mental analysis using computer vision, eye tracking, eye imaging, and motion capture systems.

• 

  Masahiro Shiomi

  Group Leader, Interaction Science Laboratories Advanced Telecommunications Research Institute International

  Masahiro Shiomi is a senior research scientist and a group leader of the Agent Interaction Design Laboratory at the Interaction Science Laboratories at ATR, Kyoto, Japan. He is also a visiting professor at Kobe University and an invited professor at Osaka University. He received his M. Eng and Ph. D. degrees in engineering from Osaka University, Osaka, Japan, in 2004 and 2007, respectively. He was a research director of a research project entitled “Computational Social Touch for Symbiotic Human-Robot Interaction,” supported by Core Research for Evolutionary Science and Technology (CREST), Japan Science and Technology Agency (JST) from 2018 to 2024. His research interests include human-robot interaction, social touch interaction, robotics for childcare, and multiple social robots. He served as a Program Chair on Ro-MAN2020, HAI2021, and HRI2022. He also served as an Associate Editor for the ACM Transactions on Human-Robot Interaction (THRI). He is a member of ACM and IEEE.

• 

  Hiroyuki Shinoda

  Professor, Graduate School of Frontier Sciences The University of Tokyo

  Hiroyuki Shinoda has been a professor at the University of Tokyo since 2012. His research interests include haptics, midair tactile displays, and related sensing and interaction issues in real-world information systems. He received the Best Conference Paper Award in IEEE ICRA 1999, the Best Technical Paper Award in the World Haptics Conference 2021, and from the IEEE Transactions on Haptics, the Best Paper Award and the Best Application Paper Award in 2022 and 2023, respectively. He was the Asia Haptics 2016 general chair, Euro Haptics 2018 program co-chair, IEEE World Haptics Conference 2019 general co-chair, and IEEE World Haptics Conference 2021 steering committee chair.

• 

  Takufumi Yanagisawa

  Professor, Institute for Advanced Co-Creation Studies Osaka University

  Dr. Takufumi Yanagisawa completed BA degrees in Physics in 1998, followed by his Master degrees in Physics at the Waseda University in Japan. Then, he completed BA degree in Medicine and obtained a license of Medical Doctor in 2004 at the Osaka University. After four years of initial neurosurgical residency, he completed his PhD at Osaka University Graduate School of Medicine in 2009. He earned board certification adopted by the Japan Neurosurgical Society in 2010 and became clinical specialists certified by Japan Epilepsy Society in 2017. He became an assistant professor in 2012, then, a lecturer at the Endowed Research Division of Clinical Neurology and Engineering at the Osaka University in 2016. He has been in his current position since April 2018. He has had extensive prior experience in neurophysiological evaluation of electrocorticographic (ECoG) signals and magnetoencephalographic (MEG) signals, and development of brain-computer interfaces (BCI) using these signals, application of the developed BCI for clinical purposes.

• 

  Junichi Yamagishi

  Professor, National Institute of Informatics Research Organization of Information and Systems

  Junichi Yamagishi received a Ph.D. degree from the Tokyo Institute of Technology (Tokyo Tech), Tokyo, Japan, in 2006. From 2007 to 2013, he was a research fellow at the Centre for Speech Technology Research, University of Edinburgh, U.K. He became an associate professor with the National Institute of Informatics, Japan, in 2013, where he is currently a professor. His research interests include speech processing, machine learning, signal processing, biometrics, digital media cloning, and media forensics. He served as a co-organizer for the bi-annual ASVspoof Challenge and the bi-annual Voice Conversion Challenge. He also served as a member of the IEEE Speech and Language Technical Committee from 2013 to 2019, as an Associate Editor for IEEE/ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (TASLP) from 2014 to 2017, as a Senior Area Editor for IEEE/ACM TASLP from 2019 to 2023, as the chairperson for ISCA SynSIG from 2017 to 2021, and as a member at large of IEEE Signal Processing Society Education Board from 2019 to 2023.

• 

  Michita Imai

  Professor, Faculty of Science and Technology Keio University

  Michita Imai is a Professor of Faculty of science and technology at Keio university and a Researcher at ATR Intelligent Robot Laboratories. He received his Ph.D. degree in Computer Science from Keio Univ. in 2002. In 1994, he joined NTT Human Interface Laboratories. He joined the ATR Media Integration & Communications Research Laboratories in 1997. He was a visiting scholar of University of Chicago from 2009-2010. His research interests include autonomous robots, human-robot interaction, speech dialogue systems, humanoid, and spontaneous behaviors. He is a member of Information and Communication Engineers Japan (IEICE-J), the Information Processing Society of Japan, the Japanese Cognitive Science Society, the Japanese Society for Artificial Intelligence, Human Interface Society, IEEE, and ACM.

• 

  Shinji Nishimoto

  Professor, Graduate School of Frontier Biosciences, Osaka University Research Manager, CiNet, NICT

  Shinji Nishimoto completed the doctoral program at the Graduate School of Engineering Science, Osaka University, in 2005, earning a Ph.D. in Science. He subsequently worked at the Helen Wills Neuroscience Institute at the University of California, Berkeley, and the Center for Information and Neural Networks (CiNet) at the National Institute of Information and Communications Technology (NICT). In 2021, he was appointed as a Professor at the Graduate School of Frontier Biosciences, Osaka University. His research focuses on the quantitative understanding of perceptual and cognitive representations in the brain, as well as the development of related applied technologies. He has received several awards, including being listed among Time Magazine's 50 Best Inventions in 2011, the Ichimura Prize in Science for Distinguished Achievement in 2016, and the JSPS Prize in 2023.

• 

  Masashi Sugiyama

  Professor, Graduate School of Frontier Sciences The University of Tokyo

  Masashi Sugiyama received a Ph.D. degree in Computer Science from Tokyo Institute of Technology, Japan, in 2001. After experiencing assistant and associate professors at the same institute, he became a professor at the University of Tokyo in 2014. Since 2016, he has concurrently served as Director of the RIKEN Center for Advanced Intelligence Project. His research interests include theories and algorithms of machine learning. He was a recipient of the Japan Academy Medal in 2017 and the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology in Japan in 2022.

• 

  Takeo Igarashi

  Professor, Graduate School of Information Science and Technology The University of Tokyo

  Takeo Igarashi is a Professor of Computer Science Department at The University of Tokyo. He received a Ph.D from the Department of Information Engineering at The University of Tokyo in 2000. He joined the Department of Computer Science as an assistant professor in 2002 and was promoted to a professor in 2011. His research interest is in user interfaces and interactive computer graphics in general. His early work includes the development of a sketch-based modeling system (Teddy) and a multi-touch shape deformation method. He led a JST ERATO project and a JST CREST project as a director. In these projects, he has developed interactive shape modeling techniques tailored for digital fabrication, and interaction techniques to control robotic systems working in the real world. He served as program co-chair for Pacific Graphics 2008, program co-chair for UIST 2013, general co-chair for UIST 2016, technical papers chair for SIGGRAPH ASIA 2018, technical program co-chair for ACM CHI 2021, and conference chair for ACM SIGGRAPH ASIA 2024. He received the SIGGRAPH Significant New Researcher Award in 2006, JSPS Award, CHI Academy Award in 2019, ACM UIST 2019 Lasting Impact Award, and the Asia Graphics 2020 Outstanding Technical Contributions Award.

Links

• CREST “Creation and development of core technologies interfacing human and information environments”
• AIP network Lab.

This CREST research area constitutes a component area of ​​the AIP Network Lab, an implementing institution of the Ministry of Education, Culture, Sports, Science and Technology's integrated project on artificial intelligence, big data, IoT, and cybersecurity (AIP Project).