Academic Profile : Faculty

Dr Guoqiang Hu is currently a professor in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. Before joining NTU Singapore in 2011, he was an assistant professor in the Department of Mechanical and Nuclear Engineering at Kansas State University, USA, from 2008 to 2011. He received Ph.D. in nonlinear controls and robotics from University of Florida in 2007.
His research interests are in AI and robotics. Specifically, he works on optimization and control, game theory, learning algorithms and data science, with applications to robotics and smart city systems. He received several awards, including Best Paper in Automation Award in the 14th IEEE International Conference on Information and Automation, Best Paper Award in the 36th Chinese Control Conference, Best Paper Award in the 4th Asia Pacific Conference of the Prognostics and Health Management Society, and Early Career Teaching Excellence Award by the School of EEE in 2015.
He served as Deputy Director of SMRT-NTU Corporate Lab in 2016-2019, Director of Centre for System Intelligence and Efficiency in 2016-2021, Assistant Chair (Research) of School of EEE in 2018-2022, and Co-Program Leader of the Singapore - UC Berkeley CREATE research program SinBerBEST in 2017-2023. He also served as Program Chair/Co-Chair for IEEE ICCA 2016, IEEE IECON 2020 and IEEE CDC 2023, and General Chair for ICARCV 2018 and IEEE ICCA 2020. He currently serves as Assistant Dean (Research) for College of Engineering at NTU Singapore, and Thrust Lead & PI of the Cobot Thrust for Centre for Advanced Robotics Technology Innovation.
His research interests are in AI and robotics. Specifically, he works on optimization and control, game theory, learning algorithms and data science, with applications to robotics and smart city systems. He received several awards, including Best Paper in Automation Award in the 14th IEEE International Conference on Information and Automation, Best Paper Award in the 36th Chinese Control Conference, Best Paper Award in the 4th Asia Pacific Conference of the Prognostics and Health Management Society, and Early Career Teaching Excellence Award by the School of EEE in 2015.
He served as Deputy Director of SMRT-NTU Corporate Lab in 2016-2019, Director of Centre for System Intelligence and Efficiency in 2016-2021, Assistant Chair (Research) of School of EEE in 2018-2022, and Co-Program Leader of the Singapore - UC Berkeley CREATE research program SinBerBEST in 2017-2023. He also served as Program Chair/Co-Chair for IEEE ICCA 2016, IEEE IECON 2020 and IEEE CDC 2023, and General Chair for ICARCV 2018 and IEEE ICCA 2020. He currently serves as Assistant Dean (Research) for College of Engineering at NTU Singapore, and Thrust Lead & PI of the Cobot Thrust for Centre for Advanced Robotics Technology Innovation.
AI and robotics
(A) Theoretical research: Optimization and control, game theory, learning algorithms, data science
(B) Projects and applications in intelligent systems and robotics:
1. Swarm intelligence and fleet management, human-robot collaboration, multi-robot cooperation, cobots and automated manufacturing
2. Smart city systems (fault diagnostics, reliability and resiliency, energy efficiency)
(A) Theoretical research: Optimization and control, game theory, learning algorithms, data science
(B) Projects and applications in intelligent systems and robotics:
1. Swarm intelligence and fleet management, human-robot collaboration, multi-robot cooperation, cobots and automated manufacturing
2. Smart city systems (fault diagnostics, reliability and resiliency, energy efficiency)
- Verification of Resilience of Sensing and Formal Control Synthesis for Safety Critical Multi-Robot-Human Systems (Cobot Thrust WP 2.7)
- Institute for Digital Molecular Analytics and Science (IDMxS)
- IDMxS PI Accounts - All
- Centre for Advanced Robotics Technology Innovation (CARTIN) - Cobot Thrust
- Efficient and Effective Multi-robot Cooperation (Cobot Thrust WP 2.1)
- IDMxS PI Account - Hu Guoqiang
- Motion Planning and Control for Human-centric Multi-Robot-Human Collaboration (Cobot Thrust WP 2.3)
- Learning by Haptic Demonstration (Cobot Thrust WP 2.4 - ASTAR)
- Motion Planning and Control for Human-centric Multi-Robot-Human Collaboration (Cobot Thrust WP 2.3 - ASTAR)
- Efficient and Effective Multi-robot Cooperation (Cobot Thrust WP 2.1 - ASTAR)