Ruiz, Juan Ph.D.

Lecturer

Juan Ruiz, Adjunct Instructor

Office: CPE 2.710 Mailing Address:
Phone: 512-471-4438 University of Texas at Austin
Fax: 512-471-7060 McKetta Department of Chemical Engineering
Email: jruiz@che.utexas.edu 200 E Dean Keeton St. Stop C0400
UT Mail: C0400 Austin, Texas  78712-1589

Educational Qualifications

Ph.D., Chemical Engineering, Carnegie Mellon University (2011)

B.S., Chemical Engineering, Universidad Tecnologia Nacional, Argentina (2003)

Courses Taught

ChE 356/384 Optimization: Theory and Practice

ChE 381P Advanced Analysis for Chemical Engineers

Research Goal

Improve the design and operation of complex process systems by developing techniques that combine strong theoretical fundamentals with highly efficient computational methods.

Awards & Honors

  • Mark Dennis Karl Outstanding Graduate Teaching Award, Carnegie Mellon University (2008)
  • Best National Engineering Graduates Award, Argentine National Academy of Engineering (2004)
  • Argentine Chemistry Association Award, Argentine Chemistry Association (2004)

Selected Publications

  •  Wang J., Wang J., Liu C. and Ruiz J.P. (2013), Stochastic Unit Commitment with Sub-hourly Dispatch Constraints, Applied Energy Journal, 105, 418-422.
  • Ruiz, J.P., Wang J. and Liu, C. (2013), Logic-based outer-approximation method for the security constrained unit commitment problem, IET Generation, Transmission & Distribution,7(11), 1210-1218.
  • Ruiz, J.P. and Grossmann, I.E. (2013), Using convex nonlinear relaxations in the global optimization of non-convex Generalized Disjunctive Programs, Computers and Chemical Engineering, 49, 70-84.
  • Ruiz, J.P. and Grossmann, I.E. (2012), A hierarchy of relaxation for convex Generalized Disjunctive Programs, European Journal of Operational Research, 218:1, 38-47.
  • Grossmann, I.E. and Ruiz J.P. (2012), Generalized disjunctive programming: A framework for formulation and alternative algorithms for MINLP optimization. In: Lee, J., Leyffer, S. (Eds.), Mixed Integer Nonlinear Programming. Series: The IMA Volumes in Mathematics and Its Applications, 154, 93-115. Springer.
  • Ruiz J.P., Jagla Jan-H, Grossmann I.E., Meeraus A., Vecchietti A. (2012), Generalized disjunctive programming: Solution Methods. In: Kallrath J. (Ed.), Algebraic Modeling Systems: Modeling and Solving Real World Optimization Problems. Series: Applied Optimization, 104, 57-75. Springer.
  • Ruiz, J.P. and Grossmann, I.E. (2011), Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of process networks, Optimization Letters, 5, 1-11.
  • Ruiz, J.P. and Grossmann, I.E. (2011), Using redundancy to strengthen the relaxation for the global optimization of MINLP, Computers and Chemical Engineering, 35:12, 2729-2740.
  • Ruiz, J.P. and Grossmann, I.E. (2010), Strengthening lower bounds for the global optimization of non-convex Generalized Disjunctive Programs, Computers and Chemical Engineering, 34:6 , 914-930.