-- Time series data classification and prediction.
-- Planning under uncertainty and Robotics.
07/2015 - to date: Research Associate, Tungsten Centre For Intelligent Data Analytics (TCIDA), Goldsmiths, University of London.
-- Developing automatic semantic annotation models for better understanding the business data.
-- Developing records matching algorithms for semi-structural or unstructured data.
-- Data Integration and Fusion.
07/2013 - 07/2015: Research Fellow, School of Computer Science, University of Birmingham, UK.
-- Worked on AIS project " Sustained Autonomy".
-- Designing planning and execution modules for robots to engage in the environment with uncertainty and constraints.
-- Coordination of flying robots (Hexacopter) and ground robots.
2009-2013 Ph.D Computer Science, University of Birmingham, UK. Thesis Title: Monitoring Plan Execution in Partially Observable Stochastic Worlds.
2007-2009 BSc (Hons) Artificial Intelligence of Computer Science, School of Computer Science, University of Birmingham, UK (First Class)
2005-2007 BEng Software Engineering, Sun Yat-sen University, China (Grade 85 %)
Zhou, Y., Wang, M., Haberland, V., Howroyd, J., Danicic, S., and Bishop, M. (2016). Improving Record Linkage Accuracy with Hierarchical Feature Level Information and Parsed Data. New Generation Computing.
Wang, M., Dearden, R., and Hawes, N. (2015). Robot Plans Execution for Information Gathering Tasks with Resources Constraints. In European Conference on Mobile Robots.
Saigol, Z., Ridder, B., Wang, M., Dearden, R., Fox, M., Hawes, N., Lane, D., and Long, D. (2015). Efficient Search for Known Objects in Unknown Environments Using Autonomous Indoor Robots. In Workshop on Task Planning for Intelligent Robots in Service and Manufacturing , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Zeyn Saigol, Minlue Wang, B. R. and Lane, D. (2015). The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems. In Towards Autonomous Robotic System.
Minlue Wang, S. C. and Dearden, R. (2013). Improving Robot Plans for Information Gathering Tasks through Execution Monitoring. In Proceedings of International Conference on Intelligent Robots and Systems (IROS).
Wang, M. and Dearden, R. (2013). Run-Time Improvement of Point-Based POMDP Policies. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI).
Dearden, R. and Wang, M. (2012). Execution Monitoring to Improve Plans with Information Gathering. In Proceedings of the 30th Workshop of the UK. Planning And Scheduling Special Interest Group (PlanSIG).
Wang, M. and Dearden, R. (2012). Improving Point-Based POMDP Policies at Run-Time. In Proceedings of the 30th Workshop of the UK Planning And Scheduling Special Interest Group (PlanSIG).
Wang, M. and Dearden, R. (2011). Planning with State Uncertainty via Contingency Planning and Execution Monitoring. In Symposium on Abstraction, Reformulation, and Approximation (SARA).
Wang, M. and Dearden, R. (2009). Detecting and Learning Unknown Fault States in Hybrid Diagnosis. In Proceedings of the Workshop on the Principles of Diagnosis (DX).
Research and Professional Experience
Program Committee Member of the Robotics Track of International Conference on Automatic Planning and Scheduling (ICAPS), 2016. Kings College, London, UK.
Program Committee Member of the Association for the advancement of Artificial Intelligence (AAAI) conference, 2015. Austin Texas, USA.
Talk at the European Conference on Mobile Robots (ECMR), 2015. University of Lincoln, UK.
Presentation at International Joint Conference on Artificial Intelligence (IJCAI), 2013. Beijing, China.
Talk at the workshop of the UK planning and scheduling special interest group (PlanSIG), 2012. University of Teesside, Middlesbrough, UK.
Talk at the symposium on Abstraction, Reformulation, and Approximation (SARA), 2011. Barcelona, Spain.
Participation at the course "Turing is Turing: Discrete and continuous computation in language", 2016. Queen Mary, London, UK.
Participation at Towards Autonomous Robotic Systems (TAROS), 2014. University of Birmingham, UK.
Participation at the international workshop on the principles of diagnosis (DX), 2012. Great Malvern, UK.
Participation at the international workshop on the principles of diagnosis (DX), 2009. Stockholm, 2009.