Junpei Zhong works as an independent research fellow in Computational Intelligence and Cognitive Robotics.
Dr.rer.nat. ( ”magna cum laude”) with sponsorship from the EU Marie-curie Projects M.Phil with sponsorship from the HK Polytechnic University B.Eng
Research Assistant, School of Computer Science, Uni. of Hertfordshire, UK, 2014 Postdoc Researcher, Uni. of Plymouth, UK, 2015
- Junior Researcher, Lab for Intelligent Dynamics and Representations, Waseda University, Japan, 2016
- Research Scientist, National Institute of Advanced Industrial Science and Technology (AIST), Japan, 2017- 2019
- Independent Research Fellow (Teaching and Lecturing Permanent Staff), Nottingham Trent University, UK, Present
More information about Junpei can be found on his website
My research interests center around machine learning methods and its embodiment for intelligent systems. To better involve a human in the learning loop, these learning models are mostly inspired by cognitive science, neuroscience, or other natural sciences and be built by connectionist, statistical or hybrid learning methods.
My current research interests include
1. Multi-modal learning on data understanding and prediction;
2. Applications of Assistive Technologies, Intelligent Robotics, Machine Learning.
Complexity (2017, 2018)
Interaction Studies: Human-robot Collaborative Intelligence (2017)
Conference on Robotics and Development of Cognition 2012, Lausanne, CH.
Workshop in Human Robot Collaborative Intelligence (at ICARM 2018), SG.
Workshop in Continual Unsupervised Learning (at ICDL/EpiRob 2018), JP.
IEEE Symposium on Domestic Robotics 2019, Xiamen, CN.
Task Force of Perception and Action, TC Cognitive and Developmental Systems,
Junpei is able to talk to the press regarding the following:
- Intelligent robotics
- Machine learning
- Deep learning
- Assistive technology