Dr Hongjie Ma
Biography
I am Dr. Hongjie Ma, currently serving as a Senior Research Fellow in the Innovative Industrial Research group at the University of Portsmouth's School of Energy and Electronic Engineering. My journey in the field spans over a decade, deeply rooted in both AI-based diagnostics/optimisation and embedded system development.
Leveraging my interdisciplinary background, I've successfully bridged the realms of artificial intelligence and embedded systems. This synergy is evident in my extensive list of publications. In just the past five years, I've contributed to over 20 scholarly articles across esteemed journals, collectively amassing more than 500 citations. Such contributions underscore the relevance and impact of my research within the academic and broader technical community.
Collaboration has been a cornerstone of my work. I've been involved as PI/CoI/key contributor in more than 10 research funding bodies including Innovate UK, EPSRC, Horizon Europe, and KTP etc. Notably, my research was acknowledged in REF 2021 under UoA12. As a Co-Investigator, I had the privilege to submit 2 out of the 4 impact case studies, reflecting the tangible outcomes and influences of my efforts.
Beyond my individual research pursuits, I'm dedicated to fostering collaborative academic environments. I took on the role of Convenor for the Researchers' Network in 2022 and have been an active chair member of the IEEE Smart World Congress, an endeavour that led to my receipt of the IEEE leadership award. Additionally, I've had the opportunity to shape academic discourse as a guest editor for a couple of journals, such as the Journal of Marine Science and Engineering.
Research interests
- AI-based abnormal detection
- AI-based decision optimisation
- Embedded Systems for Machine Learning
- Smart industrial sensor and system
Teaching responsibilities
- Artificial Intelligence (M21411)
- Real-time Embedded System (M21410)
- Foundation of Artificial Intelligence (M33615)
Research outputs
2024
Assessing the acoustic noise in intensive care units via deep learning technique
Al-Mosawi, M., Althahab, A. Q. J., Ma, H., Vuksanovic, B.
22 Apr 2024, In: Acoustics Australia
Effects of different heat transfer fluids on thermal distribution and electrochemical performance of PEMFC with a non-isothermal multiphase model
Ji, Q., Liang, W., Liu, J., Ma, H., Ma, H., Sun, P., Wang, P.
15 Feb 2024, In: Applied Thermal Engineering. 239, 16p., 122149
Optimizing combustion and emissions in natural gas/diesel dual-fuel engine with pilot injection strategy
Ji, Q., Liu, J., Ma, H., Sun, P., Wang, P., Zhang, X., Zhao, W.
1 Feb 2024, In: Thermal Science and Engineering Progress. 48, 15p., 102418
2023
Experimental and theoretical study on La0.5K0.5Mn1−xFexO3 perovskite catalysts for mild temperature soot combustion and simultaneous removal of soot and NO
Liu, J., Ma, H., Sun, P., Wang, P., Wang, Y., Zhang, C.
1 Jul 2023, In: Fuel Processing Technology. 246, 107760
The performance analysis of facial expression recognition system using local regions and features
Ma, H., Vuksanovic, B., Yang, Y.
1 Jun 2023, In: Journal of Image and Graphics(United Kingdom). 11, 2, p. 104-114, 11p.
Object pose estimation based on stereo vision with improved K-D tree ICP algorithm
Huang, L., Liu, Y., Ma, H., Qi, J., Tao, B., Wang, C., Yu, H., Yun, J.
17 Apr 2023, In: Concurrency and Computation: Practice and Experience, 16p., e7714
Experimental study on in-cylinder combustion and exhaust emissions characteristics of natural gas/diesel dual-fuel engine with single injection and split injection strategies
Ji, Q., Li, Z., Liu, J., Liu, Y., Ma, H., Sun, P., Wang, X., Zhang, X.
1 Apr 2023, In: Process Safety and Environmental Protection. 172, 16p.
Effects of split injection strategy on combustion stability and GHG emissions characteristics of natural gas/diesel RCCI engine under high load
Ji, Q., Liu, J., Liu, Y., Ma, H., Sun, P., Wang, X., Zhang, X.
1 Mar 2023, In: Energy. 266, 13p., 126542