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problems and provide a platform for benchmarking algorithm   agement environment. We plan to extend the algorithm bench-
               performance. GeoADE is based on an open-source application   marking service to other domains, and also investigate issues as
               development environment, Eclipse/CDT, which supports C/C++   to how to ensure this service’s scalability and reliability when it
               programming and is integrated with GeoLEDA, a geometric ob-  experiences a spike of user and/or service requests. We hope to
               ject library for visualization, and Geometry Viewer, an interactive   make GeoADE, along with OpenCPS, a useful aid for interactive
               component for algorithm visualization at run time. GeoADE also   algorithm teaching, and an integrated environment for knowl-
               provides plug-ins for the on-line algorithm benchmarking ser-  edge management of algorithms.
               vice, an extension of the OpenCPS algorithmic knowledge man-





                  Publications



               1.  Y.W. Huang, C.H. Tsai, T.P. Lin, S.K. Huang, D.T. Lee and   9.  C. Wulff-Nilsen, A. Grüne, R. Klein, E. Langetepe,  D.T. Lee,
                   S.Y. Kuo, “A Testing Framework for Web Application Secu-  T.C. Lin, S.H. Poon, and T.K. Yu, “Computing the Stretch Fac-
                   rity Assessment,” Computer Networks, Vol.48, No.5, pp. 739-  tor and Maximum Detour of Paths, Trees, and Cycles in the
                   761, June 2005.                                     Normed Space,” Int’l J. Computational Geometry & Applica-
                                                                       tions, pp. 45-60, Feb. 2012.
               2.  A.C.C. Shih, D.T. Lee, C.L. Peng and Y.W. Wu, “Phylo-mL-
                   ogo: An Interactive and Hierarchical Multiple-logo Visualiza-  10.  C.H. Liu, S.Y. Kuo, D.T. Lee, C.S. Lin, J.H. Weng, and S.Y.
                   tion Tool for Alignment of Numerous Sequences,” BMC Bio-  Yuan, “Obstacle-Avoiding Rectilinear Steiner Tree Construc-
                   informatics, Vol.8, No.63, Feb. 2007.               tion: A Steiner-Point Based Algorithm,” IEEE Trans. Comput-
                                                                       er-Aided Design, pp.1050-1060, July 2012.
               3.  D.T. Lee, S.J.  Shiah, C.M.  Lee and  Y.C.  Wang, “State of
                   Charge  Estimation for Electric Scooters by Using Learning   11.  M.J. Kao, H.L. Chen and D.T. Lee, “Capacitated Domination
                   Mechanisms,”  IEEE Trans. Vehichlar Technology, Vol.56,   Problem: Complexity and Approximation Algorithms,” Algo-
                   No.2, pp. 544-556, March 2007.                      rithmica, Vol.67, pp. 1-43, 2013.
               4.  T.C. Lin and D.T. Lee, “Randomized Algorithm for the Sum   12.  M.J. Kao, B. Katz, M. Krug, D.T. Lee, I. Rutter, D. Wagner,
                   Selection Problem,” Theoretical Comput. Sci., Vol.377, No.1-  “The Density Maximization Problem in Graphs,” J. Combina-
                   3, pp. 151-156, May 2007.                           torial Optimization, pp. 723-754, Nov. 2013.
               5.  D.T. Lee, T.C. Lin and H.I. Lu, “Fast Algorithms for the Den-  13.  C.H. Liu,  E.  Papadopoulou  and  D.T.  Lee,  “The  k-Nearest-
                   sity Finding Problem,” Algorithmica, Vol.53, No.3, pp. 298-  Neighbor Voronoi Diagram Revisited,” Algorithmica, to ap-
                   313, Feb., 2009.                                    pear.
               6.  J.D.  Wei, M.H.  Tsai, G.C. Lee, J.H. Huang and D.T. Lee,   14.  Chun-Xun Lin, C. H. Liu, I-C. Chen, D.T. Lee, and T.-Y. Ho,

                   “GeoBuilder: A Geometric Algorithm Visualization and De-  “An Efficient Bi-criteria Flow Channel Routing Algorithm for

                   bugging System for 2D and 3D Geometric  Computing,”   Flow-based Microfluidic Biochips,” Proc. IEEE/ACM  DAC,
                   IEEE Transactions on Visualization and Computer Graphics,   San Francisco, June 2014.
                   Vol.15, No.2, pp. 234-248, March 2009.
                                                                    15.  F. Aurenhammer, R. Klein and D.T. Lee, Voronoi Diagrams
               7.  T.C. Lin and D.T. Lee, “Efficient Algorithms for the Sum Se-  and  Delaunay  Triangulations,  World  Scientifi c  Publishing,
                   lection Problem and k Maximum Sums Problem,” Theoretical   2013.
                   Comput. Sci., Vol.411, No.7-9 pp. 986-994, Feb. 2010.
               8.  M.J. Kao, C.S. Liao and D.T. Lee, “Capacitated Domination
                   Problem,” Algorithmica, Vol.60, No.2, pp. 274-300, July 2011.







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