Project Manager

CURRICULUM VITAE

Dr. Yang Liu

Email: ************@*****.***

Mobile Phone: 0044-07541749557

Personal Contact Address: Room 12, 45 Upper Redlands Road, Reading, RG1 5JE

OBJECTIVE:

To work with an innovative company that encourages and

supports the continuous personal development of its employees

Profile:

A hard working, diligent and reliable individual with a willingness to show initiative and great

interpersonal and communication skills

EDUCATION:

Doctor Education PhD in Engineering (Machine Learning)

Oct. 2002 –Jun. 2006 Department of Engineering, University

of Exeter, Devon, UK

Result: Doctor Degree Certificate

Funding Support: ABP Marine Environmental Research

Ltd, Southampton, UK and Exeter University, UK

Main Project: (1) Time Series Rainfall-Runoff Simulation Using

Machine Techniques (artificial neural networks (ANNs) and

support vector machine (SVM)) (2) Sentiment Classification of

Web Data Using Information Matching and Support Vector

machine (3) Evolutionary Optimisations Using Genetic Algorithm,

Particle Swarm Optimisation and Differential Evolution.

Final Project: Automatic Calibration of Numerical Models Using

Fast Evolutionary-based Optimisation

Master Education MSc in Autonomous System

Oct. 2001 –Oct. 2002 Department of Computer Science, University of Exeter, UK

Result: Master Degree Certificate

Main Modules: Artificial Neural Networks, Pattern Recognition,

Signal Processing, Intelligent Image understanding, Natural

Language Processing, Agent Technology and Research

Methodology.

Main Project: Time Series Stock Data Prediction Using Machine

Learning Techniques (Auto-Regressive (AR) Model and Artificial

Neural Networks); Face Signal Recognition Using Pattern

Recognition Techniques (Principal Component Analysis, K-

Nearest Neighbour, Support Vector Machine and Decision Tree;

Cased-based Reasoning)

Final Project: Electrocardiogram (ECG) Signal Prediction Using

Gaussian Low-Pass Filter and Artificial Neural Networks.

Undergraduate Education Undergraduate Degree in Computing and Application

1996 - 2000 University of Science and Technology of China

Result: Undergraduate Degree Certificate (Merit)

Main Modules: Database Design (SQL), Data structure, Operation

Systems, Computer Programming Languages (C

Final Project: Materials Management System Using C++ and SQL

RECENT WORK EXPERIENCE

Jun.2006-Jun.2007 Department of Information Technology, National University of Ireland,

Galway, Ireland.

Position: Postdoctoral Researcher

Duties: Enterprise Ireland Research Project in Data Mining and Machine Learning: High

dimensional Chemical Spectral Signal Detection Using One-Class Support Vector Machine (SVM),

Clustering and Kernel Principal Component Analysis (KPCA); Subversion Setup and Programming

Using Java under Eclipse.

Reporting to: Professor & Manage

Reason for leaving: New job at Manchester University, UK

Jul.2007-Jul.2008 Faculty of Engineering and Physical Sciences, University of Manchester, UK:

Position: Postdoctoral Researcher Associate

Duties: BBSRC Research Project: Biological Signal Identification Using Genetic Algorithm

Optimisation and Clustering Classification Method.

Reporting to: Professor & Manager

Reason for leaving: Job contract expired.

Jul. 08- Aug.2012: Heriot Watt University, Edinburgh, UK & Edinburgh University

Position: Research Fellow

Duties: Flood Simulation Using Machine Learning (Support Vector Machine and Cellular Automata);

Deliverable Reports for the Project, Training Student for Using ISIS Software, Software Development

and Presenting the Software; My current project is collaborated with Halcrow Software Ltd.

Reporting to: Professor & Manager

Reason for leaving: Job contract expired.

Sep.2012 - Present Research Centre, Sanhuan International Pump Industry, China

Position: Senior Research Scientist and Engineer

Duties: Optimisation of Distributed Network Using Machine Learning Technique; Software Test and

Development; Technical Report Writing and Research Funding Application

ADDITIONAL INFORMATION

Work Experience:

Data Mining, Machine Learning / Pattern Recognition Using Decision Tree, Naive Bayes

Classifier, Hidden Markov Models, Artificial Neural Networks, Support Vector Machine,

Nonlinear Principal Component Analysis, K -Nearest Neighbour and Clustering.

Nonlinear/Logistic Regression, Evolutionary Optimisations(Genetic Algorithm and Particle

Swarm Optimisation)

Data Visualization, Signal Processing (e.g. Time Series Data Analysis), Probability and Statistical

Data Analysis and Modelling (e.g. Bayesian Analysis), Mathematical and Numerical Modelling,

Model Calibration and Validation, Business Intelligence, Risk Modelling, Database, and Software

Development (Java, C++, Fortran and Matlab).

Computer Skills

Programming languages: Java, FORTRAN, C, C++, C#, Python, R and Matlab.

Operation Systems: Windows and Linux

Database (Access and SQL) and Office Software

Recent Publications in Machine Learning:

Liu Y., Sun F. (2011), A Fast Differential Evolution Algorithm using k -Nearest Neighbour

Predictor, Expert Systems with Applications, 38(4), 4254 -4258. (Impact factor: 2.203)

Liu Y. and Sun F., (2013), Parameter Estimation of a Pressure Swing Adsorption Model for Air

Separation Using Multi-objective Optimisation and Support Vector Regression Model, Expert

Systems with Applications, 40(11), 4496-4502 (Impact factor: 2.203)

Liu Y. and Pender G., (2012), Automatic Calibration of a Rapid Flood Spreading Model Using

Multi-objective Optimisation, Soft Computing,17(4),713 -724 (Impact factor: 1.88)

Liu Y. and Pender G., (2012), Carlisle 2005 Urban Flood Event Simulation Using Cellular

Automata-Based Rapid Flood Spreading Model, Soft Computing,17(1),29 -37. (Impact factor:

1.88)

Liu, Y., (2009) Automatic Calibration of a Rainfall -Runoff Model Using a Fast and Elitist Multi-

objective Particle Swarm Algorithm, Expert Systems with Applications, 36(5), 9533 -9538. (Impact

factor: 2.203)

Liu Y., Khu S.T., Savic D.A., (2004) A hybrid optimisation method of using NSGA-II and KNN,

Lecture Note in Computer Science (LNCS 3177), pp.546-551.

Liu Y., Khu S.T., (2007) Automatic Calibration of Numerical Models Using Fast Optimization

by Fitness Approximation, 2007 International Joint Conf erence on Neural Networks (IJCNN),

Orlando, Florida, pp. 1073-1078.

Liu Y., Madden M.G., (2007) One-Class Support Vector Machine Calibration Using Particle

Swarm Optimisation, the 18th conference on artificial intelligence and cognitive science in Lecture

Note in Computer Science (LNCS), Dublin, Ireland, pp.91-100.

Liu Y, Pender G, Neélz S (2009) “Improving the Performance of Fast Inundation Models Using v -

Support Vector Regression and Particle Swarm Optimisation”, The 33rd IAHR 2009 Congress, pp.

1436-1443.

Liu Y., Ye W.J., (2005) Time Consuming Numerical Model Calibration Using Genetic Algorithm

(GA), 1-Nearest Neighbor (1NN) Classifier and Principal Component Analysis (PCA), The 27th

Annual International Conference of the IEEE Engineering in Medicine and Biology Society,

Shanghai, China, pp.1208-1211.

Liu Y, (2008) A Fast and Elitist Multi-objective Particle Swarm Algorithm: NSPSO, The IEEE

International Conference on Granular Computing (IEEE GrC-2008), pp. 470-475.

Khu S.T., Liu Y., Savic D.A., (2004) A Fast Calibration Technique Using a Hybrid Genetic

Algorithm – Neural Network Approach: Application to Rainfall - Runoff Models, the Sixth

International Conference of Hydroinformatics (HIC2004), Singapore, pp. 939-945.

Hobbies and Interests

I enjoy hiking, listening to music, reading and making friends. I am also dedicated badminton

enthusiast.

P.S.

I am holding permanent UK visa (Settlement/ Indefinite leave to remain) in the UK, so I don’t need

work permit for the job.

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