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Joni Zhong

Independent Research Fellow

School of Science & Technology

Role

Junpei Zhong works as an independent research fellow in Computational Intelligence and Cognitive Robotics.

Career overview

Education:

  • Dr.rer.nat. (”magna cum laude”)  with sponsorship from the EU Marie-curie Projects

University of Hamburg, DE, June 2010 - April 2015

  • M.Phil with sponsorship from the HK Polytechnic University 

The Hong Kong Polytechnic Uni., HK, Oct 2007 - Oct 2009

  • B.Eng

South China University of Technology, Sep 2002- Sep 2006

Work Experience:

  • 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

Research areas

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.

External activity

Guest Editor,

Complexity (2017, 2018)

Interaction Studies: Human-robot Collaborative Intelligence (2017)

Organised Events,

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.

Member,

Task Force of Perception and Action, TC Cognitive and Developmental Systems,

CIS IEEE

Press expertise

Junpei is able to talk to the press regarding the following:

  • Intelligent robotics
  • Machine learning
  • Deep learning
  • Assistive technology