助理教授
數碼創新及科技學系
PhD (UHH, Germany), MPhil (PolyU), BEng (SCUT, China)
聯絡方法
電話: +852 3890 8315
Junpei ‘Joni’ Zhong is a researcher and educator at the intersection of artificial intelligence, cognitive neuroscience, and robotics. His work develops human-centered AI, multimodal machine learning systems, and adaptive human-robot interaction frameworks, with a strong focus on translational applications for ageing societies and inclusive healthcare. He actively bridges academic research with community impact through NGO partnerships, government deployments, and technology entrepreneurship.
TEACHING AREAS
- 人工智能與機械人
- Machine Learning and Big Data
- Human-Computer / Human-Robot Interaction
- Assistive Technologies and Smart Healthcare
- Cognitive Science and Neuroscience
- Programming
- 電腦視覺
- Electronic Devices and Circuits
- Critical Thinking and AI Literacy
ACADEMIC QUALIFICATIONS
| 2015 | PhD in Computer Science, University of Hamburg, Germany |
| 2009 | MPhil in Electrical Engineering, The Hong Kong Polytechnic University |
| 2006 | B.Eng in Control Science and Engineering (Minor in Computer Science), South China University of Technology |
EMPLOYMENT
| 2026 – Present | Assistant Professor, Technological and Higher Education Institute of Hong Kong |
| 2023 – Present | Co-founder and Chief Technology Officer, Dailove Limited |
| 2024 – 2026 | Assistant Professor, UOW College Hong Kong |
| 2020 – 2024 | Research Assistant Professor, The Hong Kong Polytechnic University |
| 2019 – 2020 | Independent Research Fellow / Lecturer, Nottingham Trent University, UK |
| 2017 – 2019 | Research Scientist, AIST, Japan |
| 2016 | Junior Researcher, Waseda University, Japan |
| 2015 | Postdoctoral Researcher, University of Plymouth, UK |
| 2014 | Research Assistant, University of Hertfordshire, UK |
RESEARCH INTERESTS
- Human-robot interaction
- Brain-inspired AI
- Affective Computing
- Assistive robotics
- AI for cognitive health and ageing populations
獲獎
- TUM Visiting Professor Fellowship, Technical University of Munich, 2025
- TVB ESG Award 2025 (CTO & Co-founder, Dailove Limited)
- HK Science Park Incubation Award, 2024
- Innovation Award and Finalist, The 2nd City I&T Grand Challenge, 2023
- Hong Kong ICT Awards 2023 (Supervisor of Student Award)
- Rutherford Fellowship, Sussex University, UK, 2019
- Nottingham Trent Independent Research Fellowship, 2019
RESEARCH GRANTS
- UGC-Faculty Development Scheme (PI): Optimizing Interventions for Mild Cognitive Impairment: Exploring the Impact of Robotic Therapy and Delivery Modality on Cognitive Outcomes, Jan 2026 – Dec 2028
Germany-HK Joint Research Scheme (PI): Socio-demographic variables to embodied and emotional experiences in virtual nature: a cross-country study, Jan 2023 – Dec 2023
- Hospital Authority Data Lab Collaboration (PI): Research on Dementia Journey from Electronic Clinical Data in Hong Kong, Jan 2023 – Dec 2023
PROFESSIONAL SERVICES
Associate Editor
- International Journal of Advanced Robotic Systems
- Frontiers in Robotics and AI
Chair
- Task Force on Action and Perception, IEEE CIS Technical Committee on Cognitive and Developmental Systems
SELECTED PUBLICATIONS
- K. T. H. Au-Yeung, W. W. L. Chan, K. Y. B. Chan, D. Ran, H. Jiang, and J. Zhong. “A Pilot Study on the Comparison of Prefrontal Cortex Activities of Robotic Therapies on Elderly with Mild Cognitive Impairment”. IEEE Transactions on Affective Computing, 2024. (Q1, IF: 9.6)
- R. Dong, Q. Chang, M. J. Er, J. Zhong, and S. Ikuno. “Motion Capture-Based Robotic Imitation: A Keyframeless Implementation Method Using Multivariate Empirical Mode Decomposition”. IEEE/ASME Transactions on Mechatronics, 2024. (Q1, IF: 6.1)
- M. M. Chan, C. X. Choi, T. C. Tsoi, J. Zhong, and Y. M. Han. “Clinical and neuropsychological correlates of theta-band functional excitation-inhibition ratio in autism: An EEG study”. Clinical Neurophysiology, vol. 163, 2024, pp. 56–67. (Q1, IF: 3.7)
- A. Naser, A. Lotfi, M. D. Mwanje, and J. Zhong. “Privacy-Preserving, Thermal Vision With Human in the Loop Fall Detection Alert System”. IEEE Transactions on Human-Machine Systems, vol. 53, no. 1, 2023, pp. 164–175. (Q1, IF: 4.1)
- B. Wu, J. Zhong, and C. Yang. “A Visual-Based Gesture Prediction Framework Applied in Social Robots”. IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 3, 2021, pp. 510–519. (Q1, IF: 15.3)
- A. Naser, A. Lotfi, and J. Zhong. “Multiple Thermal Sensor Array Fusion Toward Enabling Privacy-Preserving Human Monitoring Applications”. IEEE Internet of Things Journal, vol. 9, no. 17, 2022, pp. 16677–16688. (Q1, IF: 8.2)
- C. Ling, J. Zhong, W. Li, R. Dong, and M. Dai. “Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction”. Big Data and Cognitive Computing, 2025. (Q1, IF: 3.7)
- J. Zhong, M. Peniak, J. Tani, T. Ogata, and A. Cangelosi. “Sensorimotor Input as a Language Generalisation Tool: A Connectionist Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs”. Autonomous Robots, vol. 43, no. 5, 2019, pp. 1271–1290. (Q2, IF: 3.7)