Dr. Zhenjun Shi


Associate Professor of Mathematics



Ph.D (Operations Research)

MS (Computational Mathematics)

BS (Mathematics)

I was born in Xintai, Shandong Province of China. My parents tought me  how to evaluate plants in farmland and do some farmer business in the poor mountain village .This is why I choose mathematics as my major. I left my village and went to cities to earn my Bachelor Degree in Mathematics, Master Degree in Computational Mathematics, and Ph. D. in Operations Research. I hoped to be a businessman for earning money to support my family but I became a university teacher. My research is focusing on the application of mathematical knowledge to real world problems, especially on numerical optimization, numerical analysis,  model and algorithm analysis, dynamic system analysis,etc..

<MY CV>

Library Building Henderson Hall: 140
Department of Mathematics and Computer Science
Central State University
1400 Brush Row Road, Wilberforce, OH 45384

Office Phone: 937-376-6456
Fax:  937-376-6384E-
E-mail: zshi@centralstate.edu

Education

  • Ph.D. in Operations Research, Dalian University of Technology, China, 1999-2002
  • M.Sc. in Computational Mathematics, Nanjing University, China
  • B.Sc. in Mathematics, Qufu Normal University, China

Research Interests

Models and Algorithms of Applied and Computational Mathematics, and Operations Research, especially in Numerical Optimization, Algorithm Design, Numerical Analysis, Scientific Computing, Simulation, and Applications  in Industry, Engineering and Management

Teaching

I ever taught courses in mathematics, operations research and computer sciences, such as Adanced Calculus, Multivariate Calculus, Differential Equations, Discrete Mathematics, Linear Algebra, Numerical Methods, Calculus I and II,  Trigonometry and College Algebra. My desire courses include Numerical Optimization, Numerical Analysis, Multivariate Calculus, Differential Equations, and Visual Basic and C++ Programming Language.

Professional Experience

  • September 2005-March 2009: Postdoctoral Fellow and Research Scientist, Department of Computer and Information Science, The University of Michigan, USA
  • April 2003-August 2005: Postdoctoral Fellow, Institute of Computational Mathematics and Scientific/ Engineering Computing, Chinese Academy of Sciences, Beijing, China

Selected Awards and Honors

  • Postdoctoral Award Foundation of China, 2003
  • K. C. Wong Postdoctoral Foundation Award of Chinese Academy of Sciences, 2003

Selected Grants and Projects

  • 2009, Workforce Optimization, $75, 000; grant from Hewlett Packard Labs Innovation Research Program (HP), co-PI
  • 2005, 3D SynthaGram Monitor for Research in Virtual Engineering, NSF (Grant DMI-0514900, USA), 2005-2008, $114,116. (Member of the Research Group)
  • 2005, Mobile Computing Research in the Context of Automotive Applications, NSF (Grant CNS-0521142, USA), 2005-2008, $242,582. (Member of the Research Group)

Professional Activities

  • - Editorial Board member of Journal of Mathematical Sciences: Advanced and Application
  • - Editorial Board member of Journal of Optimization
  • - Editorial Member of E-Books
  • - Mathematical Reviewer of American Mathematical Society
  • - Review papers for the international journals
    • 1. Journal of Nonlinear Analysis-B: Real World Applications (ISI impact factor: 1.778 (2008), 5-Year Impact Factor: 1.609)
    • 2. European Journal of Operational Research (ISI impact factor: 1.627(2008), 5-Year Impact Factor: 2.084)
    • 3. Journal of Computational and Applied Mathematics (JCAM) (ISI impact factor: 1.048 (2008), 5-Year Impact Factor: 1.138) (review 9 times)
    • 4. Computers and Mathematics with Applications (CMA) (ISI impact factor: 0.997 (2008), 5-Year Impact Factor: 1.049) (review 2 times)
    • 5. Applied Mathematics and Computation (AMC) (ISI impact factor: 0.961 (2008), 5-Year Impact Factor: 1.124) (review 6 times)
    • 6. Journal of Optimization Theory and Applications (JOTA) (ISI impact factor: 0.86)
    • 7. Optimization (ISI impact factor: 0.845 (2008), 5-year Impact Factor: 1.035)
    • 8. Optimization Methods and Software (ISI, Impact Factor: 0.708 (2008)), 5-year Impact Factor: 0.992)
    • 9. Computational Optimization and Applications (ISI impact factor: 0.648) (review 6 times)
    • 10. Numerical Algorithms (NA) (ISI impact factor: 0.61)
    • 11. International Journal of Computer Mathematics (IJCM) (ISI impact factor: 0.308)
    • 12. Journal of Applied Mathematics and Computing (JAMC) (Engineering Index) (review 12 times)
    • 13. Asia-Pacific Journal of Operational Research (APJOR) (ISI impact factor: 0.304)
    • 14. Journal of Mathematical Sciences: Advanced and Applications (JMS:AA)
    • 15. Journal of Inequalities and Applications (JIA)
    • 16. International Journal of Nonlinear Science (IJNS)
    • 17. BIT Numerical Mathematics (BITN) (ISI, Impact Factor: 0.902)
    • 18. Review E-Book: Linear Algebra and Multivariable Calculus
    • 19. IEEE Transaction on Image Processing (ISI, Impact Factor: 2.848)
    • 20. African Journal of Business Management (ISI, Impact Factor: 0.902)
    • 21. Optimization Letter(ISI, Impact Factor: 0.926 (2009))

Publications

Selected refereed journal papers ( totally cited more than 400 times by others in journals, publications, and academic conferences)

  • 1. Z.  Shi and S. Wang, Nonmonotone adaptive trust region method, European Journal of Operational   Research, 208 (2011) 28–36.
  • 2. Z. Shi and S.Wang, Modified nonmonotone Armijo search method for descent methods, Numerical Algorithms, (2011) 57:1–25.
  • 3. Z. Shi, S.Wang and Z. Xu, The convergence of conjugate gradient method with nonmonotone line search, Applied Mathematics and Computation, 217 (2010) 1921-1932.
  • 4. Z. Shi and Z. Xu, The convergence of subspace trust region methods, Journal of Computational and Applied Mathematics 231 (2009), no. 1, 365-377.
  • 5. Z. Shi and J. Guo, Global convergence of conjugate gradient method, Optimization 58 (2009), no. 2, 163-179.
  • 6. Z. Shi and J. Guo, A new family of conjugate gradient methods, Journal of Computational and Applied Mathematics 224(2009), no.1, 444-457.
  • 7. Z. Shi and J. Guo, Convergence of memory gradient methods, International Journal of Computer Mathematics 85 (2008), no. 7, 1039-1053.
  • 8. Z. Shi and J. Guo, A new trust region method with adaptive radius, Computational  Optimization and  Applications 41 (2008), no. 2, 225-242.
  • 9. Z. Shi and J.  Guo, A new algorithm of nonlinear conjugate gradient method with strong convergence, Computational and  Applied  Mathematics  27 (2008), no. 1, 93-106.
  • 10. Z. Shi and J. Guo, A new trust region method for unconstrained optimization, Journal of Computational and Applied Mathematics 213 (2008) 509-520.
  • 11. Z. Shi, J. Shen and J.  Guo, Some extensions of trust region method, Pacific Journal of Optimization 3 (2007) 539-554.
  • 12. Z. Shi, X. Zhang and J. Shen, Convergence analysis of adaptive trust region methods, RAIR Operational Research 41 (2007) 105-121.
  • 13. Z. Shi and J.  Shen, Convergence of Liu-Storey conjugate gradient method, European Journal of Operational   Research 182 (2007) 552-560.
  • 14. Z. Shi and J.  Shen, Memory gradient method with Goldstein line search, Computer Mathematics with Applications 53 (2007) 28-40.
  • 15. Z. Shi and J.  Shen, Convergence of the Polak-Rebiere-Polyak conjugate gradient method, Nonlinear Analysis, 66 (2007) 1428-1441.
  • 16. Z. Shi and J.  Shen, Convergence of subspace gradient method, Journal of Computational Mathematics and Optimization 2 (2006), No.2, 81-97.
  • 17. Z. Shi and J.  Shen, Convergence of nonmonotone line search method, Journal of  Computational and  Applied  Mathematics 193  (2006) 397-412
  • 18. Z. Shi and J.  Shen, On memory gradient method with trust region for unconstrained optimization, Numerical Algorithms 41(2006), 173-196.
  • 19. Z. Shi, Convergence of quasi-Newton method with new inexact line search, Journal of Mathematical Analysis and Applications 315 (2006), 120-131.
  • 20. Z. Shi and J.  Shen, Convergence of descent method with new line search, Journal of Applied Mathematics and Computing 20 (2006), 239-254.
  • 21. Z. Shi and J.  Shen, A new class of supermemory gradient methods, Applied Mathematics and Computation 183 (2006), no. 2, 748-760.
  • 22. Z. Shi and J.  Shen, Convergence of PRP method with new nonmonotone line search, Applied Mathematics and Computation 181 (2006), no. 1, 423-431
  • 23. Z. Shi and J.  Shen, On step-size estimation of line search methods,  Applied Mathematics and Computation 173 (2006), no. 1, 360-371.
  • 24. Z. Shi and J.  Shen, Step-size estimation for unconstrained optimization methods, Computational and Applied Mathematics 24 (2005), no.3, 399-417.
  • 25. Z. Shi and J.  Shen, Convergence property and modifications of a memory gradient method, Asia-Pacific Journal of  Operational  Research 22 (2005), no. 4, 463-477.
  • 26. Z. Shi and J.  Shen, New inexact line search method for unconstrained optimization,  Journal of Optimization Theory and Applications 127 (2005), no. 2, 425-446.
  • 27. Z. Shi and J.  Shen, Convergence of descent method without line search, Applied Mathematics and Computation 167 (2005), 94-107.
  • 28. Z. Shi, A new class of memory gradient methods with inexact line searches, Journal of Numerical Mathematics 13 (2005), 53-71.
  • 29. Z. Shi and J.  Shen, A new descent algorithm with curve search rule,  Applied Mathematics and Computation 161 (2005),  no. 3, 753-768.
  • 30. Z. Shi, Convergence of multi-step curve search method for unconstrained optimization, Journal of Numerical Mathematics 12 (2004), no. 4, 297-309.
  • 31. Z. Shi, Convergence of line search methods for unconstrained optimization, Applied Mathematics and Computation 157 (2004), 393-405.
  • 32. Z. Shi and J.  Shen, A gradient-related algorithm with inexact line searches, Journal of Computational and Applied Mathematics 170 (2004), 349-370.
  • 33. Z. Shi, A new memory gradient method under exact line search, Asia-Pacific Journal of Operational Research 20 (2003), 275--284.

Selected refereed international conference papers

  • Y. Liang, Z. Shi, S. Sritharan, and H. Wan, Simulation of the Spread of Epidemic Disease Using Persistent Surveillance Data, COMSOL Conference, Oct.7-9, 2010, Boston, MA, USA.
  • S. Wang, J. Chen, Z. Shi, and L. Thiele, “Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints,” in Proc. IEEE Embedded and Real-Time Computing Systems and Applications (RTCSA), August 2009. (Acceptance Rate: 31%)

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