Prof Xiangjian He

PhD, Professor in Computer Science, ** Chair Professor, Lead of Research Groups, FoSE, Deputy Head of CS School, Director of Computer Vision and Intelligent Perception Lab, PhD Programme Director for AIOP/CS

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1996 …2023

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Personal profile

Personal profile

Professor Xiangjian (Sean) He received his PhD in Computer Science from the University of Technology Sydney in 1999. He is currently the Deputy Head of Computer Science School and the Director of Computer Vision and Intelligent Perception Laboratory at the University of Nottingham Ningbo China (UNNC).

He is a National Talent of China with a Chair Professor title, and in list of the 'World Top 2% Scientists' reported by Stanford University in 2022, 2023, etc. 

He was the Professor of Computer Science and the Leader of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS) from 2011-2022.  He was an IEEE Signal Processing Society Student Committee member. He was involved in a team receiving a UTS Chancellor's Award for Research Excellence through Collaboration in 2018. He has been awarded 'Internationally Registered Technology Specialist' by International Technology Institute (ITI). He led the UTS and Hong Kong Polytechnic University (PolyU) joint research project teams winning the 1st Runner-Up prize for the 2017 VIP Cup, and the champion for the 2019 VIP Cup, awarded by IEEE Signal Processing Society. In 2021, the team, PolyUTS, led by Prof Lam of PolyU and co-led by Prof He of UTS again won the 1st Runner-Up award for the 2021 VIP Cup.

He has been carrying out research mainly in the areas of computer vision, data analytics and machine learning in the previous years. He has recently been leading his research teams for deep-learning-based research for human behavious recognition, human counting and density estimation, tiny object detection, biomedical applications, saliency detection, natural language processing, cybersecurity, face and face expression recognition, road sign detection, license plate recognition, etc. He has played various chair roles in many international conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE BigDataService, IEEE TrustCom, IEEE CIT, IEEE AVSS, IEEE ICPR and IEEE ICARCV.

He has received various competitive national or regional grants including five grants awarded by Australian Research Council (ARC) as a CI (Chief Investigator). Very recently, he, as a CI together with another Professor, has received an ARC-LP grant of AU$540,000 (+ AU$150,000 industry funding) for over three years from 2019-2022, and as a CI together with his colleagues in a research team, received two-million AU dollars of industry grants awarded by Cisco, SAS, Sydney Trains, NSW Transport, Data 61, RMCRC, etc.

In recent years, he has many high quality publications including ESI highly cited papers, papers in prestigious journals such as Journal of the Association for Information Science and Technology and ACM Computing Surveys, IEEE Transactions journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Industrial Informatics, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Reliability and IEEE Transactions on Consumer Electronics, and in Elsevier’s journals such as Pattern Recognition, Signal Processing, Automation in Construction, Information Sciences, Neurocomputing, Future Generation Computer Systems, Computer Networks, Computer and System Sciences, and Network and Computer Applications. He has also had papers published in premier international conferences and workshops such as AAAI, ACL, IJCAI, CVPR, ECCV, ACM MM, ICDAR, WACV, etc.

He has presented invited keynote speeches in 12 international conferences since 2016.

He has recently been involved in editing for various international journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Computer Networks and Computer Applications (Elsevier), Future Generation Computer Systems (Elsevier), and Signal Processing (Elsevier). He has been an Advisor of HKIE Transactions, and he is currently an Associate Editor of Springer-Nature Computer Science Journal and the journal of Human-centric Computing and Information Sciences.

He has successfully supervised several postdoctoral research fellows and 18 PhD students to completion as a Principal Supervisor since 2016.

Since 1991, he has also been an academic, a visiting professor, an adjunct professor, a postdoctoral researcher or a senior researcher in various universities/institutions including Xiamen University, China, Shanghai Jiaotong University, China, University of New England, Australia, University of Georgia, USA, Electronic and Telecommunication Research Institute (ETRI) of Korea, University of Aizu, Japan, Hongkong Polytechnic University, and Macau University.

Research Interests

Computer Vision, Machine Learning, Data Analytics, Bio-medical Applications


PhD graduates under my principal supervision since 2016:

Dr Ye Huang, Context-aware Image Semantic Segmentation, 2022

Dr Chengpei Xu, Arbitrary-shape Scene Text Detection and Its Application for Educational Resource Navigation, 2022

Dr Yuanfang Zhang, Low Light Image Enhancement and Saliency Object Detection, 2022

Dr Saeed Amirgholipour, Convolutional Neural Network for Accurate Crowd Counting and Density, 2021

Dr Yue Xi, Small Object Detection and Recognition using Context and Representation Learning, 2021

Dr Xiaochen Fan, Mobile Edge Computing: From Task Load Balancing to Real-World Mobile Sensing Applications, 2021

Dr Farhan Mohammed, Adopting Machine Learning Technology for the Classification of Parkinson’s Disease, 2020

Dr Qingqing Wang, Deep Learning-Based Text Detection and Recognition, 2020

Dr Ming Liu, Scalable Processing Methods for Host-based Intrusion Detection System, 2019

Dr Muhammad Usman, Enhancing the quality of video streaming over unreliable wireless networks, 2019

Dr Khaled Aldebei, Multi-Author Document Decomposition Based on Authorship, 2018

Dr Chang Liu, Searchable Symmetric Encryption: Attacks, Constructions and Extensions, 2018

Dr Zheng Zhou, Recognising and Describing Human Activities in a Still Image, 2018

Dr Ying Wan, The Concept of Evolutionary Computing for Robust Surgical Endoscope Tracking and Navigation, 2017

Dr Thawatchai Chomsiri, Tree Rule Firewall, 2017

Dr Minqi Li, Bayesian Nonparametric Modeling and Its Applications, 2016

Dr Man Wong, Mass Detection and False Positive Reduction in Mammographic Images, 2016

Education/Academic qualification

Master, Fuzhou University

PhD, University of Technology Sydney

Bachelor, Xiamen University


  • Computer Science and Engineering
  • Cyberspace Security
  • Biomedical Engineering

Person Types

  • Staff


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