En-Bing Lin
Professor
Department of Mathematics
Applied and Computational Mathematics
Pearce Hall 222
989-774-2893


Dr. Lin is a professor of Mathematics at Central Michigan University

Education

  • Ph.D., Johns Hopkins University, 1982
  • B.S., National Taiwan University, 1975

Honors and Awards

  • UT CTE Teaching Enhancement Award, 1995
  • UCLA IPAM Fellow, 2002
  • CMU Faculty Distinguished Service Award, 2017

Professional Interests

  • Applied and Computational Mathematics
  • Wavelet Analysis and Applications
  • Mathematical Physics
  • Complex Geometry

Teaching Areas

  • Analysis
  • Geometry
  • Topology
  • Applied Mathematics

Selected Recent Publications

  • C. J. Liau, E. B. Lin, and Y. R. Syau, On Consistent Functions for Neighborhood Systems, International Journal of Approximate Reasoning, Volume 121, 39-58, June 2020.
  • Y.R. Syau, E.B. Lin, C.J. Liau, Fuzzy Binary Rough Set, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems. Vol. 28, No. 2, 317-329, 2020.
  • E. B. Lin and Eric Linton, Comparisons of BRAT1 Gene Variants, Communications in Information and Systems, volume 19, number 4, 375-390, 2019.
  • E. B. Lin, Wavelet Analysis of Candidate Genes for Diabetic Retinopathy, Communications in Information and Systems, volume 18, number 3, 149-171, 2018.
  • M. Mohammad, E. B. Lin, A. Darweesh and F. Howari, Special B-spline Tight Framelet and its Applications, Journal of Advances in Mathematics and Computer Science, 29(5), 1-18, 2018.
  • Y.R. Syau, E.B. Lin, C.J. Liau, Neighborhood Systems: Rough Set Approximations and Definability, Fundamenta Informaticae, volume 159, number 4, pages 429-450, 2018.
  • M. Mohammad and E. Lin, Gibbs effects using Daubechies and coiflet tight framelet systems, Frames and Harmonic Analysis, Contemporary Mathematics, vol. 706, 271-282, 2018.
  • M. Mohammad and E. Lin, Gibbs Phenomenon in Tight Framelet Expansions, Communications in Nonlinear Science and Numerical Simulation, 55, 84-92, 2018.
  • E. B. Lin and Y. R. Syau, Mathematical Analysis of Information Systems through Technology, Proceedings of the 22nd Asia Technology Conference in Mathematics, 39-49, 2017.
  • Y.R. Syau, E.B. Lin, C.J. Liau, Neighborhood Systems and Variable Precision of Generalized Rough Sets, Fundamenta Informaticae 153, 271-290, 2017.
  • Y. Syau, A. Skowron and E. Lin, Inclusion degree with variable-precision model in analyzing inconsistent decision tables, Granular Computing, Vol. 2, no. 265-72, 2017.
  • E. Lin, O. Abayomi, K. Dahal, P. Davis, and N. C. Mdziniso, Artifact Removal for Physiological Signals via Wavelets, Proc. SPIE 10033, Eighth International Conference on Digital Image Processing, 1003355; doi:10.1117/12.2244906, 2016.
  • Y. R. Syau and E. B. Lin, Evidence Theory in Incomplete Information Tables, International Journal of Machine Learning and Computing, Vol. 5, no. 3, 242-246, 2015.
  • X. Zheng, Y. Kim, L. Rakesh and E. B. Lin, A Conservative and Variation Preserving Finite Volume Method for Non-overlapping Meshes of Reaction and Diffusion in Angiogenesis, Journal of Computational and Applied Mathematics, v. 275, 183-196, 2015.

Selected Recent Presentations

  • “An Overview of Data Mining and Rough Set Theory”, Invited Keynote Speaker, 4th International Conference on Database and Data Mining, Chicago, USA, July 2-3, 2015.
  • “Multi-scale and Topological Methods in Image Processing”, Invited Keynote Speaker, the 8th International Conference on Digital Image Processing, Chengdu, China, May 2016. 
  • “Rough Set Theory, Advanced Computing and Big Data Analytics”, Invited Keynote Speaker, the First International Conference on Cloud Computing and Big Data Analysis, Chengdu, China, July 2016. 
  • “Advanced Computing and Big Data Analytics” Invited Distinguished Keynote Speaker, the Third International Conference on Emerging Technologies in Computer Science and Engineering, Vijayawada, India, October 17-18, 2016.
  • “Big Data Analytics for Approximations in Information Systems” Invited Keynote Speaker, the Second International Conference on Cloud Computing and Big Data Analysis, Chengdu, China, April 28-30, 2017.
  • “Big Data Analysis and Approximations in Information Systems”, Invited Keynote Speaker, the 4th International Conference on Big Data Analysis and Data Mining, Paris, France, September 7, 2017.
  • “Big data analysis in bioinformatics” Invited Keynote Speaker, the 6th Internal Conference on Biostatistics and Bioinformatics, Atlanta, USA, November 13-14, 2017.
  • “Mathematical Analysis of Information Systems through Technology”. Invited Speaker, The 22nd Asian Technology Conference in Mathematics, Chungli, Taiwan, December 15-19, 2017.
  • “Big Data Analytics and Variable Precision Model in Analyzing Information Systems”, Invited Keynote Speaker, the 3rd IEEE International Conference on Cloud Computing and Big Data Analysis, Chengdu, China, April 20-22, 2018.
  • “The Scholarship of Teaching, Learning and the TPCK framework”, Invited Mathematics Colloquium Speaker, National Taiwan Normal University, Taipei, Taiwan, May 9, 2018. 
  • “Wavelet Analysis of Candidate Genes for Diabetic Retinopathy”, Invited Speaker, Tsinghua Sanya International Mathematics Forum, December 10, 2018.
  • “Generalized Fuzzy Rough Approximations in Analyzing Large Scale Information Systems”, Invited Keynote Speaker, the 4th IEEE International Conference on Cloud Computing and Big Data Analysis, Chengdu, China, April 12-15, 2019.
  • “Incomplete Information Systems and Big Data Analytics”, Invited Keynote Speaker, the 4th International Conference on Applied Mathematics and Data Science, Xi’an, China, May 29-31, 2019.
  • “Big Data Analytics, Generalized Fuzzy Rough Approximations and Comparisons of Gene Variants”, Invited Keynote Speaker at the 8th International Conference on Computer Technology and Science, Hong Kong, December 8, 2019.
  • “Comparisons of BRAT1 Gene Variants”, Invited Speaker, Tsinghua Sanya International Mathematics Forum, December 9-13, 2019.