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Biography

Prof. Maolin Tang

Faculty of Information Technology

University of Technology, Australia


Email: m.tang@qut.edu.au


Qualifications

2000 Ph.D., Edith Cowan University, Australia

1990 M.Sc., Chongqing University, China

1984 B.Sc., Huazhong University of Science and Technology, China


Publications (Selected)

  1. P.-Y. Shen, M. Tang, V. Liu and B. Caelli, Performance and Scalability Assessment for Non-Certificate-Based Public Key Management in VANETs, International Journal of Information Security and Privacy, Vol. 6, No. 1, 2012, 33-56.
  2. Z. Yusoh and M. Tang, Clustering Composite SaaS Components in Cloud Computing Using Grouping Genetic Algorithm, in Proceeding of the 2012 IEEE Congress on Evolutionary Computation, IEEE Press, Brisbane, June 2012. (accepted on 22nd February 2012).
  3. M. Tang, Evolutionary Placement of Continuously Operating Reference Stations of Network Real-Time Kinematic, in Proceeding of the 2012 IEEE Congress on Evolutionary Computation, IEEE Press, Brisbane, June 2012. (accepted on 22nd February 2012).
  4. L. Ai, M. Tang and C. Fidge, Partitioning Composite Web Services for Decentralized Execution Using a Genetic Algorithm, Future Generation Computer Systems, Elsevier, Vol. 27, No. 2, 2011, 157-172.
  5. L. Ai, M. Tang and C. Fidge, Resource Allocation and Scheduling of Multiple Composite Web Services in Cloud Computing Using Cooperative Co-evolution, B.-L. Lu, L. Zhang, and J. Kwok (Eds.), Lecture Notes in Computer Science, Vol. 7063, Neural Information Processing, Springer-Verlag, 2011, 258-267. (Proc. of the 2011 International Conference on Neural Information Processing).
  6. L. Ai, M. Tang and C. Fidge, QoS-oriented Resource Allocation and Scheduling of Multiple Composite Web Services in a Hybrid Cloud Using a Random-Key Genetic Algorithm, Australian Journal of Intelligent Information Processing Systems, Vol. 12, No. 1, 2010, 29-34.
  7. Z. Yusoh and M. Tang, A Cooperative Coevolutionary Algorithm for the Composite SaaS Placement Problem in the Cloud, K.W. Wong et al. (Eds.), Lecture Notes in Computer Science, Vol. 6443, Neural Information Processing: Theory and Algorithms, Springer-Verlag, 2010, 618-625. (Proc. of the 2010 International Conference on Neural Information Processing).
  8. M. Tang and L. Ai, A Hybrid Genetic Algorithm for the Optimal Constrained Web Service Selection Problem in Web Service Composition. in Proceeding of the 2010 IEEE Congress on Evolutionary Computation, IEEE Press,Barcelona, July 2010, 268-275.
  9. Z. Yusoh and M. Tang, A Penalty-based Genetic Algorithm for the Composite SaaS Placement Problem in the Cloud, in Proceeding of the 2010 IEEE Congress on Evolutionary Computation, IEEE Press, Barcelona, July 2010, 600-607.
  10. Y. Feng, M. Higgins, C. Rizos, S. Lim and M. Tang, A Technical Framework for Regional Precise Positioning Services Using Legacy and Future GNSS Receivers, Journal of Global Positioning Systems, Vol. 8, No. 1, 2009, 17-25.
  11. M. Tang, QoS-aware Reference Station Placement for Regional Network RTK, Journal of Software Engineering and Applications, Vol. 2, No. 1, 2009, 44-49.
  12. M. Tang, Gateway Placement in Backbone Wireless Mesh Networks, International Journal of Communications, Network and System Sciences, Vol. 2, No. 1, 2009, 44-50.
  13. M. Tang, X. Yao, A Memetic Algorithm for VLSI Floorplanning, IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 37, No. 1, 2007, 62-69.
  14. R.Y.K. Lau, M. Tang, O. Wong, S.W. Milliner and P. Chen, An Evolutionary Learning Approach for Adaptive Negotiation Agents in e-Business, International Journal of Intelligent Systems, Vol.21, No.1, 2006, 41-72.
  15. M. Tang, An Adaptive Genetic Algorithm for the Minimal Switching Graph Problem, G. R. Raidl and J. Gottlieb (Eds.), Lecture Notes in Computer Science, Vol. 3448, Evolutionary Computation in Combinatorial Optimization, Springer-Verlag, 2005, 224-233. (Proc. of the 5th European Conference on Evolutionary Computation in Combinatorial Optimisation).
  16. M. Tang and A. Sebastian, A Genetic Algorithm for VLSI floorplanning Using O-tree Representation, F. Rothlauf et al. (Eds.), Lecture Notes in Computer Science, Vol. 3449, Applications of Evolutionary Computing, Springer-Verlag, 2005, 210-219. (Proc. of the 2nd European Workshop on Hardware Optimisation).
  17. M. Tang, A Cooperative Approach to Switchbox Routing, International Journal for Computers and Their Applications, ISCA Press, Vol. 11, No. 4, 2004, 215-233.
  18. J. Berntsson and M. Tang, A Slicing Structure Representation for the Multi-layer Floorplan Layout Problem, G.R. Raidl et al. (Eds.), Lecture Notes in Computer Science, Vol. 3005, Applications of Evolutionary Computing, Springer-Verlag, 2004, 188-197. (Proc. of the 1st European Workshop on Hardware Optimisation).
  19. M. Tang, L. Chen and H. Chua, A Practical and Efficient Approach to the Constrained Via Minimization Problem, Computers & Electrical Engineering, Elsevier, Vol. 27, No. 2, 2001, 201-216.
  20. M. Tang, On Constrained Via Minimization Problem for Two-layer Routing, Journal of Computer-Aided Design & Computer Graphics, Vol. 6, No. 3, 1994, 192-198.