Academic Profile

Academic Profile

Dr Shen Zhiqi

Senior Lecturer, School of Computer Science and Engineering

Email: zqshen@ntu.edu.sg
Phone: +65 67906250
Office: N4 02B 43
Dr Shen Zhiqi

Biography
Dr. Shen Zhiqi is currently a Senior Research Scientist in School of Computer Engineering since Dec. 2011. He obtained BSc in Peking Univ., MEng in Beijing Univ. of Technology, and PhD in Nan. Tech. Univ. respectively. He has over ten years R&D experiences in both university institutes and leading global industry in Canada and Singapore. He successfully led a number of well known government funded research projects and applied the research results in large scale industry projects.

His main research areas are in artificial and computational intelligent agents and their applications in Interactive Digital Media (IDM) and other real world systems in different domains. His research work has been published in reputable journals (IEEE transactions, IEICE transactions, etc.) and top conferences in agent (AAMAS), computational intelligence (WCCI) and artificial intelligence (IJCAI). The agent based game engine developed based on his PhD research has attracted much attention from both research and industrial communities and has been presented at AAMAS 2006, ACM Entertainment Conference 2006 and Microsoft Game conference 2006 and 2007.

He has been actively involved in multidisciplinary research through collaborations involving NIE, ADM, SCI, SCE, CED at NTU and leading universities and industry world wide. In recent three years, he has been awarded over three million substantial industry and government linked research funding in agent based research including over one million NRF-MOE-IDM grant, MOE-NIE/LSL grant, HP e-Learning Grant and NGO/ASTAR grant as a Co-PI. Collaborating with Harvard, MIT and NIE/LSL researchers, “Virtual Singapura” built using his agent based game engine is the first immersive, situated and massive multi-user online role playing (MMORP) virtualized learning environment in Singapore for enabling students to learn through exploring in virtual worlds.
Research Interests
Dr. Shen's areas of expertise are Artificial Intelligence, Software Agents, Multi-agent Systems (MAS); Goal Oriented Modeling, Agent Oriented Software Engineering; Agent Mediated Semantic Web/Grid, e-Learning, Bio-informatics and Bio-manufacturing; Agent Augmented Interactive Media, Game Design, and Interactive Story Telling. His current research works focus on Multi-agent Systems, Agent Augmented Interactive Media, Game Design, Interactive Story Telling, and e-Learning.
Current Projects
  • ADL+: A Digital Toolkit for Cognitive Assessment and Intervention
  • Cinematics and Narratives - Creating Stories within Real-time Visual Toolsets
  • Cinematics and Narratives – Creating Stories within Real-Time Visual Toolsets
  • Enabling Situated Learning Via Agent Augmented Interactive Games in 3-D Chinese Water Painting World
  • Intelligent Agent-Augmented Multi-User Virtual Environments: Research into Designs for Learning Environments of the Future
  • SAIF: An End-to-end System for Assessment and Intervention of Frailty
  • Search Infrastructure for TaaS and KaaS in Internet of Things
  • Serious Immersion and Embodied Learning: Traces of Dinosaurs in Earth System Science
Selected Publications
  • Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng & Victor R. Lesser. (2019). Ethically Aligned Sacrifice Coordination to Enhance Social Welfare in Multi-agent Systems. the 18th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’19).
  • Zhiwei Zeng, Zhiqi Shen. (2019, February). Computing Argumentative Explanations in Bipolar Argumentation Frameworks. Paper presented at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA.
  • Jianfei Shen, Yiqiang Chen, Zhiqi Shen and Siyuan Liu. (2018). The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2018): A Two-stage Incremental Update Method for Fall Detection with Wearable Device. The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2018)Guangzhou.
  • Jun Lin, Han Yu, Zhengxiang Pan, Zhiqi Shen, Lizhen Cui. (2018). Towards data-driven software engineering skills assessment. International Journal of Crowd Science, 2(2), 28-42.
  • Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser & Qiang Yang. (2018). Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18): Building Ethics into Artificial Intelligence. (pp. 5527–5533).

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