Faculty
He KONG received his bachelor, Master, and Ph.D. degrees from China University of Mining and Technology, Harbin Institute of Technology (advised by Prof Guang-Ren Duan and Prof Bin Zhou), and the University of Newcastle (advised by Prof Graham Goodwin and Dr. Maria Seron), Australia, respectively. He is currently an Associate Professor at SUSTech. He was a Research Fellow in Prof Salah Sukkarieh’s team at the Australian Centre for Field Robotics, the University of Sydney (USYD); during his research stay at USYD, he was a leading researcher and major participant for a number of R&D projects on field robotics with applications in precision agriculture, among others. His research interests include robotic intelligent perception and decision making, robot audition, optimal filtering and estimation, advanced control methods and applications. He has published over 40 academic papers in major robotics and control journals and conferences. He was a co-recipient of Finalist for Youth Author Prize at the IFAC 1st Workshop on Robot Control in 2019. He is on the youth editorial board of the journal of Smart Agriculture.
Research Area
robotic intelligent sensing and decision making：active multi-mode perception
robot audition：parameter calibration of robot auditions systems; robot audition technologies and applications
optimal filtering and estimation: optimal filtering and parameter identification under unknown inputs
Advanced control methods and their applications: fully actuated system approaches; model predictive control
Work Experience
◆ June. 2022-date
Southern University of Science and Technology,
Associate Professor, the Department of Mechanical and Energy Engineering
◆ Jan. 2022-May 2022
Southern University of Science and Technology,
Assistant Professor, the Department of Mechanical and Energy Engineering
◆ Jun. 2016-Oct. 2021
The University of Sydney,
Research Fellow at the Australian Centre for Field Robotics, and Sydney Institute for Robotics and Intelligent Systems
◆ Feb. 2015-May 2016
Cranfield University
Research Fellow at the Advanced Vehicle Engineering Centre
Education
◆ Oct. 2014 Ph.D. in Electrical Engineering, The University of Newcastle, Australia
◆ Jul. 2010 M.E. in Control Science and Engineering, Harbin Institute of Technology
◆ Jun. 2004 B.E. in Electrical Engineering and Automation, China University of Mining and Technology
Awards
Research Area
robotic intelligent sensing and decision making：active multi-mode perception
robot audition：parameter calibration of robot auditions systems; robot audition technologies and applications
optimal filtering and estimation: optimal filtering and parameter identification under unknown inputs
Advanced control methods and their applications: fully actuated system approaches; model predictive control
Work Experience
◆ June. 2022-date
Southern University of Science and Technology,
Associate Professor, the Department of Mechanical and Energy Engineering
◆ Jan. 2022-May 2022
Southern University of Science and Technology,
Assistant Professor, the Department of Mechanical and Energy Engineering
◆ Jun. 2016-Oct. 2021
The University of Sydney,
Research Fellow at the Australian Centre for Field Robotics, and Sydney Institute for Robotics and Intelligent Systems
◆ Feb. 2015-May 2016
Cranfield University
Research Fellow at the Advanced Vehicle Engineering Centre
Education
◆ Oct. 2014 Ph.D. in Electrical Engineering, The University of Newcastle, Australia
◆ Jul. 2010 M.E. in Control Science and Engineering, Harbin Institute of Technology
◆ Jun. 2004 B.E. in Electrical Engineering and Automation, China University of Mining and Technology
Awards
◆2019 Finalist for Youth Author Prize, the 1st IFAC workshop on Robot Control, from International Federation of Automatic Control (IFAC)
◆ 2011 The Equity Scholarship, from Council of International Students Australia
◆ 2010 Outstanding Postgraduate Students Award, from Harbin Institute of Technology
◆2010 Sponsorship from Harbin Institute of Technology, The Consortium of China 9 Research Universities, The Go8, Australia, and Harvard Committee on Australian Studies to attend the Conference “Climate: Science and Humanity” at Harvard University
◆2009 Kwang-Hua Scholarship, from Kwang-Hua Education Foundation, and Harbin Institute of Technology
◆2008 Outstanding Graduate Student Award, from China University of Mining and Technology
Representative Publications
1.H. Kong*, S. Sukkarieh, T. Arnold, T. Chen, and W. X. Zheng, The Noise Covariances of Linear Gaussian Systems with Unknown Inputs Are Not Uniquely Identifiable using Autocovariance Least-squares, Systems & Control Letters , Vol. 162, Article ID. 105172, 2022
2.D. Su, H. Kong*, S. Sukkarieh, and S. Huang, Necessary and Sufficient Conditions for Observability of SLAM-Based TDOA Sensor Array Calibration and Source Localization, IEEE Trans. on Robotics, Vol. 37, No. 5, pp. 1451-1468，2021 (Regular paper)
3.S. Eiffert, N. Wallace, H. Kong*, N. Pirmarzdashti, and S. Sukkarieh, Resource and Response Aware Path Planning for Long Term Autonomy of Ground Robots in Agriculture, Field Robotics , Vol. 2, pp. 1-33, 2022 (Regular article)
4.D. Su, H. Kong*, Y. Qiao, and S. Sukkarieh, Data Augmentation for Deep Learning based Semantic Segmentation and Crop-Weed Classification in Agricultural Robotics, Computers and Electronics in Agriculture, Vol. 185, Article ID. 106143, pp. 1-11, 2021
5.H. Kong*, M. Shan, S. Sukkarieh, T. Chen, and W. X. Zheng, Kalman Filtering under Unknown Inputs and Norm Constraints, Automatica, Vol. 133, Article ID. 109871, pp. 1-9, 2021
6.H. Kong*, M. Shan, D. Su, Y. Qiao, and A. Al-Azzawi, and S. Sukkarieh, Filtering for Systems subject to Unknown Inputs without a priori Initial Information, Automatica, Vol. 120, Article ID. 109122, pp. 1-12,2020 (Regular paper)
7.J. Brown, D. Su, H. Kong*, S. Sukkarieh, and E. Kerrigan, Improved Noise Covariance Estimation in Visual Servoing Using an Autocovariance Least-squares Approach, Mechatronics, Vol. 68, pp. 1-10,2020 (Invited paper)
8.H. Kong* and S. Sukkarieh, An Internal Model Approach to Estimation of Systems with Arbitrary Unknown Inputs, Automatica, Vol. 108, Article ID. 108482, pp. 1-11, 2019 (Regular paper)
9.H. Kong* and S. Sukkarieh, Suboptimal Receding Horizon Estimation via Noise Blocking, Automatica, Vol. 98, pp. 66-75, 2018
10.H. Kong* and S. Sukkarieh, Metamorphic Moving Horizon Estimation, Automatica, Vol. 97, pp. 167-171, 2018
11.H. Kong*, G. Goodwin, and M. Seron, A Cost-effective Sparse Communication Strategy for Networked Linear Control Systems: An SVD-based Approach, Int. Journal of Robust and Nonlinear Control, Vol. 25, No. 14, pp. 2223-2240, 2015
12.G. Goodwin, H. Kong, G. Mirzaeva, and M. Seron, Robust Model Predictive Control: Reflections and Opportunities, Journal of Control and Decision, Vol. 1, No. 2, pp. 115-148, 2014 (Invited paper)
13.H. Kong*, G. Goodwin, and M. Seron, Predictive Metamorphic Control, Automatica, Vol. 49, No. 12, pp. 3670–3676, 2013
2.D. Su, H. Kong*, S. Sukkarieh, and S. Huang, Necessary and Sufficient Conditions for Observability of SLAM-Based TDOA Sensor Array Calibration and Source Localization, IEEE Trans. on Robotics, Vol. 37, No. 5, pp. 1451-1468，2021 (Regular paper)
3.S. Eiffert, N. Wallace, H. Kong*, N. Pirmarzdashti, and S. Sukkarieh, Resource and Response Aware Path Planning for Long Term Autonomy of Ground Robots in Agriculture, Field Robotics , Vol. 2, pp. 1-33, 2022 (Regular article)
4.D. Su, H. Kong*, Y. Qiao, and S. Sukkarieh, Data Augmentation for Deep Learning based Semantic Segmentation and Crop-Weed Classification in Agricultural Robotics, Computers and Electronics in Agriculture, Vol. 185, Article ID. 106143, pp. 1-11, 2021
5.H. Kong*, M. Shan, S. Sukkarieh, T. Chen, and W. X. Zheng, Kalman Filtering under Unknown Inputs and Norm Constraints, Automatica, Vol. 133, Article ID. 109871, pp. 1-9, 2021
6.H. Kong*, M. Shan, D. Su, Y. Qiao, and A. Al-Azzawi, and S. Sukkarieh, Filtering for Systems subject to Unknown Inputs without a priori Initial Information, Automatica, Vol. 120, Article ID. 109122, pp. 1-12,2020 (Regular paper)
7.J. Brown, D. Su, H. Kong*, S. Sukkarieh, and E. Kerrigan, Improved Noise Covariance Estimation in Visual Servoing Using an Autocovariance Least-squares Approach, Mechatronics, Vol. 68, pp. 1-10,2020 (Invited paper)
8.H. Kong* and S. Sukkarieh, An Internal Model Approach to Estimation of Systems with Arbitrary Unknown Inputs, Automatica, Vol. 108, Article ID. 108482, pp. 1-11, 2019 (Regular paper)
9.H. Kong* and S. Sukkarieh, Suboptimal Receding Horizon Estimation via Noise Blocking, Automatica, Vol. 98, pp. 66-75, 2018
10.H. Kong* and S. Sukkarieh, Metamorphic Moving Horizon Estimation, Automatica, Vol. 97, pp. 167-171, 2018
11.H. Kong*, G. Goodwin, and M. Seron, A Cost-effective Sparse Communication Strategy for Networked Linear Control Systems: An SVD-based Approach, Int. Journal of Robust and Nonlinear Control, Vol. 25, No. 14, pp. 2223-2240, 2015
12.G. Goodwin, H. Kong, G. Mirzaeva, and M. Seron, Robust Model Predictive Control: Reflections and Opportunities, Journal of Control and Decision, Vol. 1, No. 2, pp. 115-148, 2014 (Invited paper)
13.H. Kong*, G. Goodwin, and M. Seron, Predictive Metamorphic Control, Automatica, Vol. 49, No. 12, pp. 3670–3676, 2013