Homepage of Yaochu Jin

Biosketch

Professor Yaochu Jin is Chair in Computational Intelligence and Head of the Nature Inspired Computing and Engineering (NICE) Group , Department of Computing, University of Surrey, Guildford, Surrey, UK. He is also a Visiting Professor of University of Science and Technology of China, Hefei, China.

He received the BSc, MSc and PhD degrees, all in automatic control from Zhejiang University, Hangzhou, China and the Dr.-Ing. degree from Ruhr-University Bochum, Bochum, Germany. He was Principal Scientist and Project Leader at the Honda Research Institute Europe, Offenbach Germany before he was appointed Chair in Computational Intelligence by the University of Surrey in June 2010. He was Associate Lecturer, Lecturer and Associate Professor with the Electrical Engineering Department, Zhejiang University from 1991 to 1996.

Professor Jin currently serves as an Associate Editor of BioSystems, International Journal of Fuzzy Systems, the IEEE Computational Intelligence Magazine, the IEEE Transactions on Neural Networks, the IEEE Transactions on Nanobioscience, and the IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews. He is an Area Editor of the Soft Computing Journal.

He was the General Co-Chair of the 2007, 2009 and 2011 IEEE Symposium on Computational Intelligence in Multi-Criterion Decision-Making, and the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments. He is the General Chair of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. He presently chairs the Intelligent Systems Application Technical Committee, IEEE Computational Intelligence Society. He is an elected member of the Administrative Committee of the IEEE Computational Intelligence Society to serve the term from 2012 to 2014.

He is a Fellow of British Computer Society, Senior Member of IEEE and Member of INNS.

Research Interests

Professor Jin's primary research interests include the computational approach to a systems-level understanding of evolution, learning and development in biology, and nature-inspired approaches to solving complex engineering problems. Relevant research fields cover artificial life, bio-inspired robotics, computational intelligence, computational systems biology and computational neuroscience. Currently, he is interested in the following research topics:
  • Computational Intelligence (CI)
  • Computational Systems Biology and Bioinformatics (CSBB)
    • Computational modeling of gene regulation and cellular mechanisms underlying biological morphogenesis and signal transduction
    • Evolvability and robustness analysis of gene regulatory networks; in silico synthesis of gene regulatory dynamics
    • Mathematical modeling of biological systems, machine learning approach to analysis of biological data
  • Computational and Cognitive Neuroscience (CCN)
    • Evolutionary developmental neurocomputing: Understanding neural organization in evolution through brain-body co-evolution, modeling of activity-independent and activity-dependent neural development; modeling of synaptic, neuronal and homeostatic plasticity, structural and synaptic plasticity in spiking neural networks and liquid state machines
    • Computational cognitive neuroscience: Memory organization, top-down and bottom-up pathways in neural information processing
  • Real-world Applications of CI, CSBB and CCN
    • Morphogenetic robotics, morphogenetic self-organization of engineered collective systems (UAVs, small satellites, and mobile sensor networks), cellular design of materials
    • Aerodynamic design optimization, micro heat exchanger optimization, vehicle design and optimization, decision-making and decision support
    • Human behavior recognition, image forensics, medical image analysis, spatiotemporal pattern recognition
    • Electric and process control, robotic control, industrial automation, and data mining

Research Team and On-Going Research Projects

Current Vacancies

    None
Highly motived students interested in doing a PhD in any of my research areas are encouraged to contact me by email. Typical starting dates for PhD students are October, January, April and July. If you are keen to apply for a scholarship that covers the tuition fee plus a stipend, please apply before the end of May.


Publications by Year Publications by Category Publications by Topic

Education


Employment


Honors and Awards


Journal Editorship


Invited Keynote / Plenary Talks, Invited Talks, and Other Invited Activities


Involvement in Professional Organizations


Conference Activities


Grant Reviewer, Referee and External Ph.D. Examiner


Journal Paper and Book Proposal Reviewer


Teaching Experience and Student Projects


  • Student Supervision
      I am / have (co)-supervising / (co)-supervised several students at Ph.D., Master and undergraduate levels.

  • Courses Taught
    • Intelligent Control, major graduate course, Electrical Engineering Department, Zhejiang University, Spring Semester, 1994, 1995, 1996
      I developed the new course, prepared a text book (including fuzzy systems, neural networks and their application to control systems), which was published later.

    • Computer Real-time Control Experiments, graduate course, Fall Semester, 1992, 1993 I was in charge of the development of a computer network for real-time control. I prepared the Experiment Instructions for Computer Real-time Control in English. Experiments include furnace control, water level control, CSTR control, servo control, and robot control.


Last update February 2011. Please direct all inquires to Yaochu Jin.