September September 2007: Postdoctoral Research Associate, CERCIA, School of

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1 Shan He School of Computer Science The University of Birmingham Edgbaston Birmingham, B15 2TT U.K. Phone: +44 (0) Mobile Phone: Web: Current Position Wellcome Trust VIP Fellow School of Computer Science Centre for Systems Biology, School of Biosciences The University of Birmingham Advisors: Professor Xin Yao and Professor John Heath Education November 2006 December 2002 July 2001 Ph.D. in Electrical Engineering and Electronics The University of Liverpool, Liverpool, U.K. Thesis: Developments of animal behaviour inspired optimisation algorithms and their applications Sponsored by the University of Liverpool and National Grid Transco, U.K. Supervisor: Professor Henry Q. H. Wu and Dr. Emmanuel Prempain M.Sc. with Distinction in Intelligence Engineering, The University of Liverpool, Liverpool, U.K. Project: An application interface between Labview and Java. Supervisor: Professor Henry Q. H. Wu B.Eng. in Information Engineering (Ranked Second) Guangdong University of Technology, Guangdong, China. Project: Parameter identification of an induction motor using an improved genetic algorithm (in Chinese). Supervisor: Professor Kai Sheng Huang Employment History October September 2009: Leverhulme Early Career Fellow, School of Computer Science, the University of Birmingham. (Advisor: Professor Xin Yao) September September 2007: Postdoctoral Research Associate, CERCIA, School of

2 Computer Science, the University of Birmingham. (Advisor: Professor Xin Yao) Research Interests Agent-based modelling, data mining, swarm intelligence, evolutionary computation, machine learning, collective behaviour, proteomics and metabolomics. Research Grants Source: The Leverhulme Trust Amount: 40,827 Project: Leverhulme Early Career Fellowship ECF/2007/0433. Principle Investigator. Period of Award: 01/10/ /09/2009. (Success rate 7% - 8%) Source: BBSRC Amount: 92,700, Approx. 25,000 to CS Project: "Automated metabolite identification and quantification using J-resolved NMR spectroscopy", BB/F016298/1. Researcher Co-Investigator. (PI: Mark R. Viant) Period of Award: 01/08/ /07/2009. Source: The Wellcome Trust Amount: 27,592 Project: Computational Intelligence for metabolomics and proteomics data analysis. Value in People Awards Scheme. Grant holder. Period of Award: 01/10/ /09/2010. Source: EPSRC Bridging the Gaps project awarded to the University of Birmingham Amount: 14,926 Project: Towards an agent-based modelling framework based on omics data for the investigation of cancer evolution. Grant holder. Period of Award: 01/10/ /03/2011. Refereed Journal Papers S. He, Q. H. Wu, J. Y. Wen, J. R. Saunders and R. C. Paton, "A particle swarm optimizer with passive congregation", BioSystems, 78 (1-3): , Dec (67 SCI Citations) S. He, E. Prempain, and Q. H. Wu. "An improved particle swarm optimizer for mechanical design optimization problems", Engineering Optimization, 36 (5): , Oct (38 SCI Citations) C. Feng, S. Cong, S. He, W. Shang, Y. Zhang. Self-calibration for kinematic parameters of a redundant planar 2-dof parallel manipulator using evolutionary algorithms. Engineering Optimization, 41 (4): , Apr S. He, X. Li, M. R. Viant and X. Yao. "Profiling mass spectrometry proteomics data using

3 Smoothed Nonlinear Energy Operator and Bayesian Additive Regression Trees". Proteomics, 9 (17): , Sep (SCI impact factor 4.4) S. He, Q. H. Wu, and J. R. Saunders. "Group search optimizer - an optimization algorithm inspired by animal searching behaviour". IEEE Transaction on Evolutionary Computation. 13(5): , Oct (SCI impact factor 4.6) S. He, Q. H. Wu, and J. R. Saunders. "Breast cancer diagnosis using an artificial neural network trained by group search optimizer". Transactions of the Institute of Measurement and Control, 31(6): , Dec S. He. Training artificial neural networks using Lévy group search optimizer. Journal of Multiple-Valued Logic and Soft Computing. 16(6): , Refereed Conference Papers S. He, E. Prempain, Q. H. Wu, J. Fitch, S. Mann. "An improved particle swarm optimization for optimal power flow", 2004 International Conference on Power Systems Technology. Singapore. Nov W. H. Tang, S. He, E. Prempain, Q. H. Wu and J. Fitch. "A particle swarm optimizer with passive congregation approach to thermal modeling for power transformers", 2005 IEEE Congress on Evolutionary Computation (CEC 2005). Edinburgh. Sep S. He, Q. H. Wu, and J. R. Saunders. "A group search optimizer for neural network training", 2006 International Conference on Computational Science and its Applications (ICCSA 2006). Glasgow. May Lecture Notes in Computer Science, 3982: , Springer. S. He, Q. H. Wu and J. R. Saunders. "A novel group search optimizer inspired by animal behavioural ecology", in Proceeding of 2006 IEEE Congress on Evolutionary Computation (CEC 2006). Sheraton Vancouver Wall Centre, Vancouver, BC, Canada. Jul 16-21, Tue PM W. J. Tang, M. S. Li, S. He, Q. H. Wu and J. R. Saunders. "Optimal power flow with dynamic loads using bacterial foraging algorithm". International Conference on Power Systems Technology (POWERCON), Chongqing, China, Oct S. He, and X. Li. "Profiling of high-throughput mass spectrometry data for ovarian cancer detection", 8th Int. Conf. on Intelligent Data Eng. and Automated Learning (IDEAL). Birmingham, UK. Dec 16-19, Lecture Notes in Computer Science, 4881: , Springer. S. He, and X. Li. "Application of a Group Search Optimization based Artificial Neural Network to Machine Condition Monitoring", 13th IEEE International Conference on Emerging Technologies and Factory Automation. Hamburg, Germany, Sep 15-18, 2008.

4 A. Koutsou and S. He. "Study of ants traffic organisation under crowded conditions using individual-based modelling and evolutionary computation". IEEE Congress on Evolutionary Computation (CEC) Trondheim, Norway, May 18-21, S. He, H. Chen, X. Li, and X. Yao. "Profiling of mass spectrometry data for ovarian cancer detection using negative correlation learning". 19th International Conference on Artificial Neural Networks (ICANN). Lanarca, Cyprus, Sep 14-17, S. He, J. K. Heath and H. J. Cooper, Improved identification of phosphopeptides from ETD/ECD MS data using robust twin boosting. RECOMB Satellite Conference on Computational Proteomics San Diego, USA, Mar 26-28, Submitted Papers Q. H. Wu, S. He and J. R. Saunders. "An improved group search optimizer for security-constrained optimal power flow". 8 pages. Submitted to IEEE Transactions on Power Systems. (Manuscript available upon request) S. He, H. J. Cooper, D. G. Ward, X. Yao and J. K. Heath. Analysis of premalignant pancreatic cancer mass spectrometry data for biomarker selection using a group search optimizer. Transactions of the Institute of Measurement and Control. (Manuscript available upon request) S. He, and X. Li and X. Yao. Application of a Lévy Group Search Optimizer to Ultrasonic Detector Based Machine Condition Monitoring. IEEE Transactions on Industrial Electronics. (Manuscript available upon request) Working Papers S. He, I. D. Couzin and X. Yao. "Evolution of animal aggregation from first principle an evolutionary artificial neural networks approach". (in preparation, target journal is Proceedings of the National Academy of Sciences USA. Manuscript available upon request) S. He, H. Chen, D. G. Ward, W. Wei, H. J. Cooper, M. R. Viant, X. Yao and J. K. Heath. "Pancreatic cancer diagnosis and biomarker discovery from mass-spectrometry data using robust twin boosting". (in preparation, target journal is BMC Bioinformatics. Manuscript available upon request) S. He, H. Chen, J. M. Easton, C. Ludwig, L. Bishop, T. N. Arvanitis, U. L. Guenther, M. R. Viant. Data mining tool for automated metabolite identification and quantification using J-resolved NMR spectroscopy. (in preparation, target journal is Bioinformatics) J. M. Easton, C. Ludwig, S. Tiziani, A. Lodi, S. Manzoor, A. D. Southam, S. He, T. N. Arvanitis, U. L. Guenther, M. R. Viant. Birmingham Metabolite Library (BML): A publicly accessible database of J-resolved NMR spectra of authentic metabolite

5 standards. (in preparation, target journal is Metabolomics) Technical Reports S. He, "Convex optimization for transformer winding deformation identification", Technical report for National Grid Transco, U.K., Feb S. He, "An improved particle swarm optimization for optimal power flow", Technical report for National Grid Transco, U.K., Oct S. He, X. Li, "Neural Computation for Ultrasound Analysis", CERCIA Business Assist Report, October S. He, X. Li, "Evolutionary Artificial Neural Network for Fault Detection", CERCIA Business Assist Report, October S. He, "Survey of Open Source Content Management Systems", CERCIA Business Assist Report, November S. He, "Mobile Ultrasound Database Management System", CERCIA Business Assist Report, January S. He, "Mobile Portlet for ipoint Portal Software", CERCIA Business Assist Report, March S. He. "Data Mining for Network Security and Targeted Marketing", CERCIA Business Assist Report, March S. He. "Predicting Vending Machine Sales Using Artificial Neural Networks", CERCIA VIN Project Report, August Invited Talks S. He, "Applications of Mass Spectrometry to Trace Evidence Analysis." New Forensic Applications VIN Event, University Of Birmingham, Feb 6, Finished Industrial Projects Mobile Blogging Client for Nokia Communicator 9500 (J2ME) Vending Machine Sales Prediction Software Package (Matlab) Mass Spectrometry Analysis Software Package (C#) Micro/Nano Manipulation Software for Chemical Engineering Department, the University of Birmingham (Labview) Fuzzy Bird Identification for Biocensus Ltd (Visual C# and SQL)

6 Scientific Software Application interface between LabView and Java. Written in Visual C++ and Java Particle Swarm Optimizer Toolbox for Matlab Evolutionary Optimal Power Flow Toolbox for Matlab (based on MATPOWER Toolbox) Group Search Optimizer Toolbox for Matlab Evolutionary Artificial Neural Network Toolbox for Matlab (based on Matlab ANN Toolbox) Mass spectrometry data processing and analysis toolbox (Matlab and R) J-resolution NMR simulation and deconvolution toolbox (Matlab) Evolutionary Artificial Neural Networks library (Java) Teaching Laboratory Demonstrator The University of Liverpool Foundation (Year 0) Laboratory Experiments Year 1 Electrical Laboratory Experiments Year 2 Matlab Laboratory Experiments Teaching Assistant The University of Liverpool Computational Intelligence 2008 Guest Lecturer The University of Birmingham Nature Inspired Design Supervised Student Projects MS.c. Final Project, Ant Colony Optimisation for product to shelf allocation problem, MS.c. Final Project, Evolutionary Decision tree and feature selection, MS.c. Final Project, Genetic programming based feature selection for bioinformatics, MS.c. Final Project, Agent-based modelling for ants self-organising behaviour, (Student Achilleas Koutsou is now a PhD student at the University of Cyprus). MS.c. Final Project, Co-evolution of predator-prey games, MS.c. Final Project, Systematic pattern-based trading using computational intelligence, 2009.

7 MS.c. Final Project, Feature selection and classification of proteomic mass spectrometry data using multi-objective and co-evolutionary genetic programming, (Student Samson Habte is now a PhD student at London Metropolitan University) Professional Activities Member of Track Program Committee. 13th IEEE International Conference on Emerging Technologies and Factory Automation. Hamburg, Germany, September 2008 Member of Track Program Committee. 14th IEEE International Conference on Emerging Technologies and Factory Automation. Mallorca, Spain, September 2009 Member of the International Program Committee. IASTED International Conference on Artificial Intelligence and Soft Computing (ASC 2009). Palma de Mallorca, Spain, September, 2009 Member of Program Committee. 9th UK Workshop on Computational Intelligence (UKCI 2009). Nottingham, UK, September, 2009 Member of Track Program Committee. 15th IEEE International Conference on Emerging Technologies and Factory Automation. Bilbao, Spain, September 2010 Session Chair. The IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010). Liverpool, UK, September, 2010 Reviewing Journal reviewing Reviewer for Spectroscopy Letters Reviewer for IEEE Transactions on Evolutionary Computation Reviewer for IEEE Transaction on Systems, Man, and Cybernetics - Part C: Applications and Reviews Reviewer for IEEE Transactions on Industrial Informatics Reviewer for IEEE Computer Magazine Reviewer for International Journal of Robotics and Automation Reviewer for ASME Journal of Mechanical Design Reviewer for Engineering Optimization Reviewer for Control and Intelligent Systems Conference reviewing Reviewer for 2007 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2007) Reviewer for 2007 International Symposium on Neural Networks. (ISNN 2007) Reviewer for 14th Workshop on Logic, Language, Information and Computation (WoLLIC 2007) Reviewer for 13th IEEE International Conference on Emerging Technologies and Factory Automation

8 Reviewer for The 2009 International Conference on Data Mining (DMIN'09) Research Visit Mar - Apr 2010 Department of Evolutionary Biology and Ecology, Princeton University, USA

Changjiang Yang. Computer Vision, Pattern Recognition, Machine Learning, Robotics, and Scientific Computing.

Changjiang Yang. Computer Vision, Pattern Recognition, Machine Learning, Robotics, and Scientific Computing. Changjiang Yang Mailing Address: Department of Computer Science University of Maryland College Park, MD 20742 Lab Phone: (301)405-8366 Cell Phone: (410)299-9081 Fax: (301)314-9658 Email: yangcj@cs.umd.edu