Development of Eye-Blink Controlled Application for Physically Handicapped Children. - Ippei Torii; Kaoruko Ohtani; Shunki Takami; Naohiro Ishii (IDEAL, 2014)

Application of Information Technology to Develop the System for Solitary Death. - Shunki Takami; Ippei Torii; Naohiro Ishii (IIAI-AAI, 2014)

Development of communication support application with blinks. - Ippei Torii; Shunki Takami; Kaoruko Ohtani; Naohiro Ishii (IISA, 2014)

Development of System for Prevention of Solitary Death with Mobile Devices. - Shunki Takami; Ippei Torii; Naohiro Ishii (KES, 2014)

Application of Detecting Blinks for Communication Support Tool. - Ippei Torii; Kaoruko Ohtani; Shunki Takami; Naohiro Ishii (Software Engineering Research, Management and Applications, 2014)

Proposed Environment to Support Development and Experiment in RoboCupRescue Simulation. - Shunki Takami; Kazuo Takayanagi; Shivashish Jaishy; Nobuhiro Ito; Kazunori Iwata 001; Yohsuke Murase; Takeshi Uchitane (RoboCup, 2017)

Effective Fusion of Disaster-Relief Agent in RoboCupRescue Simulation. - Taishun Kusaka; Yuki Miyamoto; Akira Hasegawa; Shunki Takami; Kazunori Iwata 001; Nobuhiro Ito (CSII, 2018)

An Environment for Combinatorial Experiments in a Multi-agent Simulation for Disaster Response. - Shunki Takami; Masaki Onishi; Kazunori Iwata 001; Nobuhiro Ito; Yohsuke Murase; Takeshi Uchitane (PRIMA, 2018)

Agent-Development Framework Based on Modular Structure to Research Disaster-Relief Activities. - Shunki Takami; Kazuo Takayanagi; Shivashish Jaishy; Nobuhiro Ito; Kazunori Iwata 001 (Int. J. Softw. Innov., 2018)

Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene. - Shusuke Shigenaka; Shunki Takami; Yoshihiko Ozaki; Masaki Onishi; Tomohisa Yamashita; Itsuki Noda (AAMAS, 2019)

Infrastructure in Assessing Disaster-Relief Agents in the RoboCupRescue Simulation. - Shunki Takami; Masaki Onishi; Itsuki Noda; Kazunori Iwata 001; Nobuhiro Ito; Takeshi Uchitane; Yohsuke Murase (CSII (selected papers), 2019)

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. - Shusuke Shigenaka; Shunki Takami; Shuhei Watanabe; Yuki Tanigaki; Yoshihiko Ozaki; Masaki Onishi (AAMAS, 2021)

Individual-based epidemiological model of COVID19 using location data. - Yoriyuki Yamagata; Shunki Takami; Keisuke Yamazaki; Tomoki Nakaya; Masaki Onishi (IEEE Big Data, 2022)

Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network. - Yu Yamashita; Shunki Takami; Shusuke Shigenaka; Masaki Onishi; Atsuyuki Morishima (MABS, 2022)

Simulation Model with Side Trips at a Large-Scale Event. - Ryo Niwa; Shunki Takami; Shusuke Shigenaka; Masaki Onishi; Wataru Naito; Tetsuo Yasutaka (AAMAS, 2023)

Proximity Network for Visualizing Infection Risks of Pedestrian Behavior at Large-Scale Events. - Sayaka Morikoshi; Ryo Niwa; Shunki Takami; Masaki Onishi; Takayuki Itoh (IEEE Big Data, 2023)

Scenario Generation Based on a Gaussian Mixture Model for the Stochastic Optimization of Crowd Control. - Ryo Niwa; Shunki Takami; Shusuke Shigenaka; Masaki Onishi (ITSC, 2024)

MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation. - Shusuke Shigenaka; Shunki Takami; Yuki Tanigaki; Shuhei Watanabe; Masaki Onishi (J. Comput. Soc. Sci., 2024)