Gaoxi Xiao
Scholar

Gaoxi Xiao

Google Scholar ID: NJg-uKgAAAAJ
Nanyang Technological University
Cyber-physical systemscomplex networkscyber-physical securityresilience engineeringAI
Citations & Impact
All-time
Citations
4,822
 
H-index
33
 
i10-index
90
 
Publications
20
 
Co-authors
31
list available
Resume (English only)
Academic Achievements
  • Funded Research Projects in Recent Years: Robustness of Node Embedding for Trustworthy Machine Learning (2023-2025), Critical Event Monitoring and Situation Awareness for Resilience Cyber-Physical Systems (2020-2025), Recovery of Cyber-Physical Systems from Disasters and Attacks (2020-2025), Networked Communities of Agents: A New Framework for Studying Dynamics of Complex Adaptive Systems (2020-2022), The Study of 4D Dengue Transmission Risk Based on Big Urban Data (2018-2020), Control and Controllability of Dynamic Complex Networks: Theories and Strategies (2017-2020), Infrastructure Systems Risk Monitoring, Detection and Control (2014-2018), Robust Learning in Social Networks: Fundamental Limits and Strategies (2015-2018). Also, served as an Associate Editor or Editorial Board Member for several journals.
Research Experience
  • Mar. 2008-present: NTU, Singapore, associate professor; Oct. 2001-Mar. 2008: NTU, Singapore, assistant professor; Nov. 1999-Oct. 2001: UT Dallas, Richardson, TX, USA, visiting scientist; Apr. 1999-Nov. 1999: Poly U, Brooklyn, NY, USA, postdoctoral research fellow; Oct. 1995-Dec. 1998: HKPU, Kowloon, HK, research/teaching assistant; Apr. 1994-Oct. 1995: Xidian Univ., Xi'an, China, assistant lecturer.
Education
  • BSc, Dept. Applied Math., Xidian University, Xi'an, China, 1987-1991; MPhil, Dept. Applied Math., Xidian University, Xi'an, China, 1991-1994; PhD, Dept. Computing, Hong Kong Polytechnic University, 1995-1998.
Background
  • Research Interests: Complex systems and complex networks, Cyber-physical systems, Cyber-physical security, Resilience engineering, Optimization algorithms and applications, Internet and communication networks.
Miscellany
  • Supervised multiple PhD students who have graduated and are now working in industry or academia.