NAGAO, Katashi

J-GLOBAL         Last updated: May 8, 2019 at 04:21
 
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Name
NAGAO, Katashi
E-mail
nagaonuie.nagoya-u.ac.jp
URL
http://www.nagao.nuie.nagoya-u.ac.jp/member/nagao_en.html
Affiliation
Nagoya University
Section
Graduate School of Informatics Department of Intelligent Systems 3
Job title
Professor
Degree
Doctor of Engineering(Tokyo Institute of Technology)
Research funding number
70343209
ORCID ID
0000-0001-6973-7340

Profile

Katashi Nagao received his B.E., M.E., and Ph.D. in Computer Science from Tokyo Institute of Technology in 1985, 1987 and 1994, respectively. Since 1987, he has been researching natural language processing and machine translation systems at IBM Research, Tokyo Research Laboratory. In 1991, he began conducting research projects on natural language dialogue, multiagent systems, and human-computer interaction at Sony Computer Science Laboratories, Inc. From 1996 to 1997, he was a visiting scientist at the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign. He rejoined IBM’s Tokyo Research Laboratory and launched the Semantic Transcoding Project in 1999. He joined Nagoya University as an associate professor at the Graduate School of Engineering in 2001. Since 2002, he has been researching artificial intelligence and computer-assisted education as a professor at the Graduate School of Information Science, Nagoya University. Currently, he is conducting research on building-scale VR that extends the daily living space by incorporating the real-world environment entirely into the virtual world, as well as research on smart personal vehicles for the elderly.

Research Areas

 
 

Academic & Professional Experience

 
Apr 1987
 - 
Mar 1991
Researcher at IBM Research, Tokyo Research Laboratory
 
Apr 1991
 - 
Jun 1999
Researcher at Sony Computer Science Laboratories
 
Jul 1996
 - 
Aug 1997
Visiting Scientist at University of Illinois at Urbana-Champaign
 
Jul 1999
 - 
Jun 2000
Research Specialist at IBM Research, Tokyo Research Laboratory
 
Jul 2000
 - 
Oct 2001
Senior Researcher and Group Leader on Exploratory Software Technology Group at IBM Research, Tokyo Research Laboratory
 

Education

 
 
 - 
1987
Systems Science, Graduate School, Division of Integrated Science and Engineering, Tokyo Institute of Technology
 

Awards & Honors

 
Jan 2018
Meeting Analytics: Creative Activity Support Based on Knowledge Discovery from Discussions, IBM Best Paper Award at HICSS2018, IBM Corporation
Winner: Katashi Nagao
 
Jul 2017
Meeting Analytics: Creative Activity Support Based on Knowledge Discovery from Discussions, 2017 IBM Faculty Award, IBM Corporation
Winner: Katashi Nagao
 
Sep 2013
ACM UIST 2013 Lasting Impact Award, Association for Computing Machinery (ACM)
 

Published Papers

 
Evidence-Based Education: Case Study of Educational Data Acquisition and Reuse
Katashi Nagao, Naoya Morita, Shigeki Ohira
Journal of Systemics, Cybernetics and Informatics   15(7) 77-84   Feb 2018
There must be as many concrete indicators as possible in education, which will become signposts. People will not be confident about their learning and will become confused with tenuous instruction. It is necessary to clarify what they can do and w...
Katashi Nagao, Mehrdad Tehrani, Jovilyn B. Fajardo
Smart Learning Environments: a SpringerOpen Journal   2(5) doi:10.1186/s40561-015-0011-1   Feb 2015   [Refereed]
Our university is currently developing an advanced physical-digital learning environment that can train students to enhance their discussion and presentation skills. The environment guarantees an efficient discussion among users with state-of-the-...
ISHITOYA, Kentaro, YAMAMOTO, Keisuke, OHIRA, Shigeki, NAGAO, Katashi,
Journal of the Institute of Image Information and Television Engineers   66(11) J461-J470   Nov 2012   [Refereed]
Reading as many technical documents as possible is important to improve our research. When we read these documents, we can understand their contents more easily by referring to related resources such as images, audio clips, and videos. Videos cont...
A Continuous Meeting Support System
ISHITOYA, Kentaro, OHIRA, Shigeki, NAGAO, Katashi
Transactions of Information Processing Society of Japan   53(8) 2044-2048   Aug 2012   [Refereed]
In order to facilitate more efficient meetings held continuously, like project meetings, it is important to consider about past discussions and recall them in the current discussion. In this paper, we describe about a novel meeting support system ...
*Video Scene Retrieval Using Online Video Annotation
Tomoki Masuda, Daisuke Yamamoto, Shigeki Ohira, Katashi Nagao
New Frontiers in Artificial Intelligence: JSAI2007 Conference and Workshops, Lecture Notes in Artificial Intelligence 4914, Springer-Verlag   1(1) 255-268   Feb 2008   [Refereed]

Books etc

 
Artificial Intelligence Accelerates Human Learning
Katashi Nagao
Springer Singapore   Feb 2019   ISBN:978-981-13-6175-3
The book is divided into six chapters, the first of which provides an overview of AI research and practice in education. In turn, Chapter 2 describes a mechanism for applying data analytics to student discussions and utilizing the results for know...
Data Science on Discussion: Symbiosis of Human and Artificial Intelligence
Katashi Nagao
Keio University Press Inc.   Jan 2018   
Katashi Nagao (Part:Joint Editor)
Kyoritsu Shuppan Co., Ltd.   Jul 2017   
Digital Content Annotation and Transcoding
Katashi Nagao
Artech House Publishers   2003   
Advanced Agent Technologies
Katashi Nagao et al. (Part:Joint Work)
Kyoritsu Pub.   2000   

Conference Activities & Talks

 
Building-Scale Virtual Reality: Another Way to Extend Real World
Katashi Nagao, Menglong Yang, Xu Cao, Yusuke Miyakawa
IEEE 2nd International Conference on Multimedia Information Processing and Retrieval   28 Mar 2019   IEEE
We propose building-scale virtual reality (VR), a real-world extension method different from augmented reality (AR), that uses automatically generated indoor 3D point cloud maps. To make the entire indoor area a pose tracking area, we attach an RG...
Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset
Xu Cao, Katashi Nagao
25th International Conference on MultiMedia Modeling (MMM2019)   8 Jan 2019   
This paper introduces DensePoint, a densely sampled and annotated point cloud dataset containing over 10,000 single objects across 16 categories, by merging different kind of information from two existing datasets. Each point cloud in DensePoint c...
Automatic Evaluation of Presenters' Discussion Performance Based on their Heart Rate
Shimeng Peng, Katashi Nagao
The 10th International Conference on Computer Supported Education (CSEDU 2018)   15 Mar 2018   
Heart rate variability (HRV) has recently seen a surge in interest regarding the evaluation of cognitive performance as it always be used to measure the autonomic nervous system function. In this study, we argue that a presenters' HRV data can be ...
Meeting Analytics: Creative Activity Support Based on Knowledge Discovery from Discussions
Katashi Nagao
51st Hawaii International Conference on System Sciences   2 Jan 2018   
In this paper, we present high-probability statements mentioning future tasks during meetings that should lead to innovations and facilitate creative discussions. We also propose a creative activity support system that should help users to discove...
Building Scale VR: Automatically Creating Indoor 3D Maps and its Application to Simulation of Disaster Situations
Katashi Nagao, Yusuke Miyakawa
Future Technologies Conference (FTC) 2017   29 Nov 2017   
In this paper, we explain how to implement Building-Scale VR and its applications to disaster simulations. It is useful to express disaster situations by reconstructing actual buildings into virtual space and enable users in the building to experi...

Teaching Experience