Homepage of Yaochu Jin
金耀初主页






Biosketch (中文简历)

Professor Yaochu Jin holds a Chair in Computational Intelligence and heads the Nature Inspired Computing and Engineering (NICE) Group , Department of Computing, University of Surrey, Guildford, Surrey, UK. He is also a Visiting Professor of Donghua University, Shanghai, China.

He received the BSc, MSc and PhD degrees, all in automatic control from Zhejiang University, China and the Dr.-Ing. degree from Ruhr-University Bochum, Germany. He was Principal Scientist and Group Leader at the Honda Research Institute Europe, Germany before he was appointed Chair in Computational Intelligence at 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. His main research interests include computational modeling of evolution, learning and development in biology, and bio-inspired approaches to optimization, learning and self-organisation. He has published over 150 journal and conference papers and was granted 7 US/EU/Japan patents. His papers have reported over 7,000 citations (according to Google Scholar). Since he joined Surrey in June 2010, he has successfully attracted fundings from EU FP7, UK EPSRC, and industries, including Santander, Bosch UK, HR Wallingford, Intellas UK Ltd, Aero Optimal and Honda. He is also a member of the European GARTEUR Action Group "Surrogate-based Global Optimization Methods in Aerodynamic Design".

Professor Jin is Vice President for Technical Activities of the IEEE Computational Intelligence Society (2014-2015) and a Distinguished Lecturer (2013-2015) of IEEE. He was an AdCom member (2012-2013), a member of the Award Committee (2012-2013) and Chair (2011-2012) of the Intelligent Systems Applications Technical Committee of the IEEE Computational Intelligence Society. He currently serves as an Associate Editor of BioSystems, the IEEE Transactions on Cybernetics (previously IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics), the IEEE Transactions on Nanobioscience, IEEE Computational Intelligence Magazine, the Soft Computing Journal and the International Journal of Fuzzy Systems. He is an Editorial Board Member of the Evolutionary Computation Journal (since 2014). He is a past Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Systems, man and Cybernetics, Part C: Applications and Reviews, and the IEEE Transactions on Control Systems Technology. He was the founding General Co-Chair of the 2007, 2009, 2011 and 2013 IEEE Symposium on Computational Intelligence in Multi-Criterion Decision-Making, and the founding General Co-Chair of 2011 and 2013 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 has delivered over 14 Keynote speeches at international conferences on morphogenetic robotics and morphogenetic self-organizing systems, developmental neural computation, modeling and analysis of gene regulatory networks, evolutionary optimization in dynamic and uncertain environments and multi-objective machine learning.

Professor Jin is a member of Peer Review College and Review Panelist of EPSRC, UK, a member of Computer Science Review Panel, Academy of Finland, an Evaluator/Panel member of EU FP7 FET / Human Brain Project, a Peer Reviewer of Italian Evaluation of Research Quality exercise (VQR 2004-2010), and a Grant reviewer for many funding agencies, including the Royal Academy of Engineering (UK), the Levehulme Trust (UK), the Marsden Fund (New Zealand), Killam Fellowship Program (Canada), the Netherlands Organization for Scientific Research, Czech Science Foundation, Cyprus Research Promotion Fundation, FWF (Austria), and the European Science Foundation.

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

PhD Study Opportunity at Surrey

Highly motived students interested in doing a PhD are encouraged to contact me by email (yaochu.jin AT surrey.ac.uk). If you are interested in applying for a PhD scholarship that covers the tuition fee as well a stipend, please apply by the end of March each calendar year for the October entry. Note that a minimum of 6.5 is required for overal IELTS and each single item should not be lower than 6.5.

PhD position open at University of Jyvaskyla, Finland.

如果你有兴趣申请萨里大学的博士生奖学金,请在每年的3月31日前申请博士入学。萨里大学要求雅思(IELTS)总成绩和所有单项成绩均不低于6.5。 除了优良的学习成绩外, 如已经发表过高质量的论文将大大提高申请奖学金的成功率。欢迎通过Email (yaochu.jin AT surrey.ac.uk) 咨询。

Recently Funded Projects (since 06/2010)

  1. SWARM-ORGAN: A theoretical framework for swarms of GRN-controlled agents which display adaptive tissue-like organisation", EU FP7 (PI at Surrey, in collboration with CRG, Spain, University of Amsterdam, the Netherlands, and University of East Anglia, UK, 03.2013-08.2016)
  2. "Sparse multi-way digital signal processing approach for detection of deep medial temporal discharges from scalp EEG", funded by EPSRC (Co-I, 01.2013-06.2015. PI: Dr Saeid Sanei)
  3. "Model-based evolutionary many-objective optimisation" funded by Honda Research Institute Europe (PI, 01.2013-12.2015)
  4. "Evolutionary optimisation of CFRP stiffened panels of aircraft", funded by EPSRC KTA and Aero Optimal (PI, 09.2011-09.2012)
  5. "Fast and robust feature extraction for detection of bootlegged museum images", funded by EPSRC CASE and Intellas UK Ltd (PI, 01.2011-06.2014)
  6. "Evolutionary methods for generating hierarchical and multi-label classifiers", Santander Doctoral Student Award, (PI, 03.2012-08.2012)
  7. "Reconstruction of global regulatory networks governing the production of antibiotics in Streptomyces bacteria", funded by EPSRC DTC, in collaboration with Microbial and Cellular Sciences Department, University of Surrey (PI, 07.2011-03.2014)
  8. "Heterogeneous ensenbles for convergence prediction in surrogate-asssited evolutionary optimisation", funded by EPSRC DTC, incollaboration with Division of Mechanical, Medical and Aerospace Engineering, University of Surrey (PI, 07.2011-03.2014)
  9. "Modeling neural plasticity for spatiotemporal pattern recognition", funded by EPSRC DTG (PI, 07.2011-12.2014)
  10. "Intelligent heat solutions: Concepts and strategies for product development", funded by EPSRC EngD and Bosch Thermotechnology (PI, 09.2011-08.2014)
  11. "Knowledge extraction and development of decision support systems for conceptual design of sustainable liquified nitrogen gas terminals", funded by EPSRC EngD and HR Wallingford (Co-I, 05.2011-04.2014)
  12. "Predicting suitable vaccines for foot-and-mouth disease virus based on genetic sequence", jointly funded by Microbial and Cellular Sciences Department and Computing Department, University of Surrey, in collaboration with Institute for Animal Health, Surrey (PI, 10.2011-09.2014)
  13. "Semi-supervised ensemble learning for BCI-based game control", funded by Department of Computing, University of Surrey (PI, 10.2011-09.2014)
  14. "Computational modeling of neural plasticity", start-up grant, funded by Department of Computing, University of Surrey (PI, 11.2010-10.2012)

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
    • Complex engineering optimization, auch as 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

Publications by Year

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 May 2014. Please direct all inquires to Yaochu Jin.