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Home > Tenured Faculties > Fujita Katsuhide

Tenured Faculties

Fujita Katsuhide

Affiliation Institute of Engineering
Division Division of Advanced Information Technology and Computer Science
Research field Artificial Intelligence
Keyword(S) Multi-agent System, Automated Negotiation Framework, Knowledge Management, Complex Network, Natural Language Processing
Research experience

・Apr.2010-Jun.2011: Reseasrch Fellow (DC1), JSPS
・Jun.2010-May.2011: Visiting Student, MIT
・Jul.2011-Sep.2011: JSPS Reseasrch Fellow (PD)
・Oct.2011-Nov.2012: Project Researcher, School of Engineering, The University of Tokyo
・Dec.2012-Nov.2015: Associate Proffesor, Faculty of Engineering, Tokyo University of Agriculture and Technology
・Dec.2015-Present: Associate Proffesor (Tenured), Faculty of Engineering, Tokyo University of Agriculture and Technology

Educational background

・2008 B.E., Department of Computer Science, Nagoya Institute of Technology
・2010 M.E., School of Techno-Business Administration, Nagoya Institute of Technology
・2011 Ph.D., Department of Computer Science and Engineering, Nagoya Institute of Technology


* The latest information is shown at the member's website.
(At 2018)
・Best Paper Award, PRIMA 2014
・JSAI Incentive Award, 2010
・IPSJ Yamashita SIG Research Award, 2010
・Winner of The Automated Negotiating Agents Competition 2010, 2010
・TELECOM System Technology Award, 2009
・Best Student Paper Award (KICSS2007), 2007

Selected papers and publications

* The latest information is shown at the member's website.
(At 2014)
・ Katsuhide Fujita, Takayuki Ito, Mark Klein “Efficient issue-grouping approach for multiple interdependent issues negotiation between exaggerator agents,” Decision Support Systems, Vol.60, pp.10-17, 2014.
・ Katsuhide Fujita, Takayuki Ito, Mark Klein, “An Approach to Scalable Multi-issue Negotiation: Decomposing the Contract Space," Computational Intelligence, Vol.30, No.1, pp.30-47, 2014.
・ Katsuhide Fujita, Yuya Kajikawa, Junichiro Mori, Ichiro Sakata “Detecting research fronts using different types of weighted citation networks," Journal of Engineering and Technology Management, Volume 32, pp.129-146, 2014.
・ Tim Baarslag, Katsuhide Fujita, Enrico Gerding, “Evaluating practical negotiating agents: Results and analysis of the 2011 international competition,” Artificial Intelligence Journal, Vol.198, pp.73-103, 2013.
・ Katsuhide Fujita, Takayuki Ito, Mark Klein, “A Secure and Fair Protocol that Addresses Weaknesses of the Nash Bargaining Solution in Nonlinear Negotiation," Group Decision and Negotiation, Volume 21, Number 1, pp.29-47, 2012.

Research Description

Recently, the number of academic papers increases exponentially, and each academic area becomes specialized and segmented. In addition, the social problems such as environmental problems, aging society, and financial problems, become complex. Therefore, the technologies for utilizing computers' capacities are important to support the decision making in the real life. Especially, the novel decision support systems based on the collaboration between computers and people are keys in the future, as we understand the each advantage of computers and people.
In our group, we study about “Decision Support Systems based on the collaborations between computers and people for the complex social problems.” Especially, the targets of our studies are medical applications, strategy formulations for countries and companies, and negotiations. First, we analyze and propose the models for decision-making based on Natural Language Processing and Complex Network Analysis. Next, computers propose the alternatives based on Multi-agent Simulations and Optimization Techniques. After that, we evaluate the final solutions from every point of view. We compare between experts' based solutions (Top-down Approach) and computational based solutions (Bottom-up Approach), and understand the contributions and difficulties for collaborations between computers and people. Also, we create the novel web-based applications for effective decision-makings.

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About TUAT's tenure-track program

TUAT Tenure Track Program is a wonderful opportunity for young researchers being willing to embrace an academic career. Especially, the effective Tenure Track System with high grade by MEXT and the circumstance with some tenure track researchers are the advantages of this program. I believe that this program is one of the important experiments for achieving the outstanding results in the international academic fields, while we have responsibility with the independent research groups and the evaluations for the promotion to tenure position.

Future aspirations

I believe that the collaborations between computers and people can improve the possibilities of decision-makings, which is one of the important intelligent activities in the world, while computers and people have different kinds of intelligence. I’m going to devote myself to achieve my research subjects with generous supports by TUAT Tenure Track Program. Also, I would like to bring up TUAT's talented students with the international activities.