Kevin F Byron PhD

Computer Science Adjunct Professor: NJIT, BMCC/CUNY, Union County College

Computer Science Research Fellow: Cybersecurity/Bioinformatics, NJIT

• Contact information

  • Email: kfb5@njit.edu

  • Homepage: http://web.njit.edu/~kfb5

  • Linkedin: http://linkedin.com/in/kfb1223

• Publications

  • Book

    • K. Byron, K. G. Herbert and J. T. L. Wang. Bioinformatics Database Systems. CRC Press, 285 pages, 2017.

  • Book chapters

    • M. Vasavada, K. Byron, Y. Song, and J. T. L. Wang. Genome-Wide Search for Pseudoknotted Non-Coding RNA: A Comparative Study. In Pattern Recognition in Computational Molecular Biology: Techniques and Approaches (Wiley Series in Bioinformatics), chapter 9, John Wiley & Sons, 2016.

    • K. Byron, M. Cervantes-Cervantes, and J. T. L. Wang. Biological Informatics: Data, Tools and Applications. In Computational Intelligence and Pattern Analysis in Biology Informatics, chapter 3, pages 59-72, John Wiley & Sons, 2010.

  • Articles

    • K. Byron and J. T. L. Wang. A comparative review of recent bioinformatics tools for inferring gene regulatory networks using time-series expression data. International Journal of Data Mining and Bioinformatics, (submitted 2017).

    • Y. Abduallah, T. Turki, K. Byron, Z. Du, M. Cervantes-Cervantes and J. T. L. Wang. MapReduce Algorithms for Inferring Gene Regulatory Networks Using an Information-Theoretic Approach. BioMed Research International, 2017.

    • K. Byron, J. T. L. Wang, and D. Wen. Genome-wide prediction of coaxial helical stacking using random forests and covariance models. International Journal on Artificial Intelligence Tools, 23(3), 2014.

    • K. Byron, C. Laing, D. Wen, and J. T. L. Wang. A computational approach to finding RNA tertiary motifs in genomic sequences: a case study. Recent Patents on DNA and Gene Sequences Journal, 2012.

    • K. Byron, M. Cervantes-Cervantes, J. T. L. Wang, W. C. Lin, and Y. Park. Mining roX1 RNA in Drosophila genomes using covariance models. International Journal of Computational Bioscience, 1(1):22-32, 2010.

  • Conference paper presented

    • K. Byron, J. T. L. Wang, and D. Wen. Genome-wide search for coaxial helical stacking motifs. In IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), pages 260-265, 2012.

  • PhD Dissertation

    • K. Byron. Big Data Analytics in Computational Biology and Bioinformatics. New Jersey Institute of Technology, Newark, NJ, 2017.

• Education

  • PhD, Computer Science. New Jersey Institute of Technology, Newark, NJ, 2017.

  • MS, Computer Science. Stevens Institute of Technology, Hoboken, NJ, 1987.

  • BS, Computer Science. New Jersey Institute of Technology, Newark, NJ, 1983.

  • AAS, Computer Science. Union County Technical Institute, Scotch Plains, NJ, 1975.

• Experience

  • Since 2016: Computer Science Research Fellow; New Jersey Institute of Technology, Newark, NJ.

  • 2000 through 2016: Director of University Information Systems, Director of Computer Operations and Production Services, Director of Core Systems and Operations, Director of Policy, Projects and Audit; New Jersey Institute of Technology, Newark, NJ.

  • 1989 through 2000: Programming Manager, Director of Academic Computing, Director of Information Technologies; Union County College, Cranford, NJ.

  • 1977 through 1989: Assistant Professor, Computer Science Department; Union County College, Cranford, NJ.