基本信息
浏览量:28
职业迁徙
个人简介
Kugamoorthy Gajananan (Gajan) is currently pursuing his PhD in Informatics at the National Institute of Informatics, affiliated to The Graduate University for Advanced Studies. He has been working under the supervision of Professor Helmut Prendinger at Global lab since April 2010.
His current research interests include the using online multi-user three dimensional (3D) virtual worlds to collect driver behavioral data.
He carries out research in the areas of online multi-user 3D virtual worlds, human computer interaction. Currently, he focus on building 3D virtual world based solutions to empower traffic engineers so that they can study human factor that influence driving behavior, against various transport scenarios. Specifically, he develops a novel framework for the automatic generation of complex traffic scenarios for the purpose of conducting driver behavioural studies in simulated environments such as an online multi-user 3D virtual world.
He received his B.Sc degree in Computer Science from the University of Colombo , Colombo , Sri Lanka in August , 2005. Then , worked as a Software Engineer at Industrial Financial Systems Private Limited in Sri Lanka from August 2005 to August 2007.
In 2007 August, he obtained the Thailand King Scholarship for pursuing the Master's degree in Information Management at School of Engineering and Technology in Asian Institute of Technology, Thailand. During his graduate studies, he worked on a thesis under the supervision of Professor Peter Haddawy.
As a part of my graduate studies, he also participated in an international internship program at the National Institute of Informatics , Tokyo, Japan from July 2009 to December 2010 and also worked as a Project researcher at the National Institute of Informatics for 3 months from January 2010 to March 2010.
研究兴趣
论文共 30 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
2022 IEEE Cloud Summitpp.113-117, (2022)
Journal of Information Processingno. 0 (2021): 505-514
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn