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Manuel Valenzuela-Rendón
Curriculum Vitæ
0+52 (81) 8166-6117
6+52 (81) 9688-2340
*manuel.valenzuela.r@gmail.com
Íhttps://sites.google.com/site/manuelvalenzuelar/
Personal Data
Date of birth 5 August 1960
Place of birth Monterrey, N.L., Mexico
Education
2009 Posdoctorate Bridge to Business, Tulane University, Nueva Orleans, Louisiana, U.S.A., Finance.
1989 Ph.D. in Electrical Engineering, University of Alabama, Tuscaloosa, Alabama, U.S.A.,
GPA: 4.0/4.0, Advisor: Dr. David E. Goldberg.
1984 M.Sc. in Computer Systems, Tecnológico de Monterrey, Cuernavaca, Morelos, Mexico,
GPA: 9.1/10.0.
1981 B.Sc. in Electronics and Communications Engineering, Tecnológico de Monterrey, Monterrey,
Nuevo León, Mexico, GPA: 9.3/10.0.
Areas of Interest and Research
Intelligent
Systems
Systems and methods inspired from nature (genetic algorithms, learning classifier systems, and
other evolutionary computation techniques, neural networks and fuzzy logic). Applications of
these methods to engineering problems in optimization and design. Systems that are capable of
learning rules to represent appropriate behaviors.
Computational
Finance
Applications of computational intelligence to finance, specially problems related to portfolio
optimization and management. Forecasting, optimization and management of portfolios, auto-
matic trading systems.
Logistics Optimization and forecasting problems in logistics that due to their size and difficulty cannot
be readily attacked using traditional methods. Routing and distribution, scheduling, sales and
demand forecasting.
Automatic
Control
Applications of evolutionary computation and neural networks for the control of difficult sys-
tems. Optimization of control systems. Optimal control with evolutionary computation; neural
networks and fuzzy logic for automatic control.
Professional Experience
Tecnológico de Monterrey, Monterrey, Mexico (1989–2016)
2003–2014 Research Chair, Evolutionary Computation, Neural Networks, and Related Techniques for Opti-
mization and Forecasting in Logistics.
1991–2002 Associate Director, Center for Intelligent Systems.
2016 Retired Professor.
2003–2016 Full Professor, Center for Intelligent Systems, Department of Mechatronics and Automatization,
Department of Computer Sciences, National School of Engineering and Sciences.
1992–1997 Associate Professor, Center for Intelligent Systems.
Manuel Valenzuela-Rendón
1989–1991 Professor and Researcher, Center for Intelligent Systems.
Tecnológico de Monterrey, Cuernavaca, Mexico (1981–1989)
1984 Director of the Computer Center.
Managed the Computer Center resources to satisfy the hardware and software need of the academic and
administrative departments in the Institute. System manager of the HP-3000 system.
1984 Advisor of the major areas of Computer Science and Computer Engineering.
Assigned courses and supervised professors in both areas. Student Advising.
1982–1983 Head of the Science Department at the Preparatory School.
Hired part-time teachers. Assigned courses and supervised teachers in the department.
1981–1989 Full-time Professor.
Other Experience
1992 Visiting Professor, NASA, Johnson Space Center, Houston, Texas, Software Technology Branch.
Research in genetic algorithms, learning classifier systems, and fuzzy control.
1988–1989 Research Assistant, University of Alabama.
Research and Development Projects
2003–2014 Evolutionary computation, neural networks, and related techniques for optimization
and forecasting, Research Chair, Tecnológico de Monterrey, Monterrey, Grant: $100,000 USD
per year.
Through this grant we researched the application of evolutionary computation, simulated annealing, and
neural networks to some problems in logistics, like scheduling, routing and distribution, and forecasting.
2001–2002 Inventory optimization using buckets, TV Azteca.
A computer system was developed that optimizes the sales of comercializable time in television programs.
The system applied neural networks and simulated annealing for the demand forecast.
2000 Paper cutting optimization, COPAMEX.
A computer system for the optimization of paper cutting was developed. The system finds the cuts of a
set of paper rolls that minimize paper waste, knife movements, and other factors.
1998 Ratings forecast, TV Azteca.
A system to forecast television ratings was developed. The forecast was produced for 15 minutes periods
for all the national channels in Mexico in open television. The forecast could be performed for any targets.
1997–1999 Genetic algorithms for scheduling problems, CONACyT, Grant: $343,006 Mexican pesos.
Through this grant, we researched the application of genetic algorithms to scheduling problems.
1993–1994 Automatic Teller Machines forecasting, BBVA Bancomer.
In this project we developed a neural network based system for the forecasting of the amount of cash
required by automatic teller machines. In its first year it was estimated that the system produced a savings
of $1M USD in Mexico City.
1990–1993 SIBER: A computer system for the scheduling of the annealing area at HYLSA, HYLSA.
A computer system based on genetic algorithms was developed to assist in the programming of the an-
nealing area at HYLSA. The system fired simultaneous searchers to find near optimal solutions to various
operations; the solutions found were presented to the human operator as recommendations that could
be accepted, modified, or refused. The increased productivity achieved was estimated to have an impact
of $4M Mexican pesos per year.
2/3
Manuel Valenzuela-Rendón
Programming Languages
{ MATLAB/Octave
{ Python (numpy, pylab)
{ C
{ LISP
{ Fortran IV, Basic, Pascal, Oberon, Modula-3
Honors and Scholarships
Sistema Nacional de Investigadores (National Research Council)
2005–2015 National Researcher, Level I
1993–1996 National Researcher, Level I
1990–1993 National Researcher Candidate
Tecnológico de Monterrey (ITESM) Awards
2004 Rómulo Garza Award 2003 for Research and Tecnological Development, First Place
1992 Premio a la Labor Docente y de Investigación 1991, This award is conferred to professors of the
Tecnológico de Monterrey based on there teaching and research activities.
1981 Mención Honorífica. This award was conferred to those graduates that achieved a grade point
average of at least 8.5/10 and had not received any failing grade.
Scholarships
1985–1988 CONACYT Scholarship. Awarded by the Consejo Nacional de Ciencia y Tecnología (CONACYT).
1982–1984 Scholarship for professors of the Tecnológico de Monterrey
Teaching (Tecnológico de Monterrey)
Graduate
Courses
{ Connectionist and Evolutionary Systems
{ Logistics by Artificial Intelligence
{ Evolutionary Computation
{ Genetic Algorithms
{ Neural Networks
{ Digital and Optimal Process Control
{ Computerized Control Systems
{ Optimal Control Systems
{ Digital Signal Processing
{ Introduction to Mathematics for Finance
Undergraduate
Courses
{ Computational Intelligence
{ Connectionist Systems
{ Control Engineering II
{ Signals and Systems II
{ Numerical Methods
Publications and Citations
ResearchGate https://www.researchgate.net/profile/Manuel_Valenzuela-Rendon2
Google Scholar https://scholar.google.com.mx/citations?user=VXFFeJMAAAAJ
3/3

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CV_short_english

  • 1. Manuel Valenzuela-Rendón Curriculum Vitæ 0+52 (81) 8166-6117 6+52 (81) 9688-2340 *manuel.valenzuela.r@gmail.com Íhttps://sites.google.com/site/manuelvalenzuelar/ Personal Data Date of birth 5 August 1960 Place of birth Monterrey, N.L., Mexico Education 2009 Posdoctorate Bridge to Business, Tulane University, Nueva Orleans, Louisiana, U.S.A., Finance. 1989 Ph.D. in Electrical Engineering, University of Alabama, Tuscaloosa, Alabama, U.S.A., GPA: 4.0/4.0, Advisor: Dr. David E. Goldberg. 1984 M.Sc. in Computer Systems, Tecnológico de Monterrey, Cuernavaca, Morelos, Mexico, GPA: 9.1/10.0. 1981 B.Sc. in Electronics and Communications Engineering, Tecnológico de Monterrey, Monterrey, Nuevo León, Mexico, GPA: 9.3/10.0. Areas of Interest and Research Intelligent Systems Systems and methods inspired from nature (genetic algorithms, learning classifier systems, and other evolutionary computation techniques, neural networks and fuzzy logic). Applications of these methods to engineering problems in optimization and design. Systems that are capable of learning rules to represent appropriate behaviors. Computational Finance Applications of computational intelligence to finance, specially problems related to portfolio optimization and management. Forecasting, optimization and management of portfolios, auto- matic trading systems. Logistics Optimization and forecasting problems in logistics that due to their size and difficulty cannot be readily attacked using traditional methods. Routing and distribution, scheduling, sales and demand forecasting. Automatic Control Applications of evolutionary computation and neural networks for the control of difficult sys- tems. Optimization of control systems. Optimal control with evolutionary computation; neural networks and fuzzy logic for automatic control. Professional Experience Tecnológico de Monterrey, Monterrey, Mexico (1989–2016) 2003–2014 Research Chair, Evolutionary Computation, Neural Networks, and Related Techniques for Opti- mization and Forecasting in Logistics. 1991–2002 Associate Director, Center for Intelligent Systems. 2016 Retired Professor. 2003–2016 Full Professor, Center for Intelligent Systems, Department of Mechatronics and Automatization, Department of Computer Sciences, National School of Engineering and Sciences. 1992–1997 Associate Professor, Center for Intelligent Systems.
  • 2. Manuel Valenzuela-Rendón 1989–1991 Professor and Researcher, Center for Intelligent Systems. Tecnológico de Monterrey, Cuernavaca, Mexico (1981–1989) 1984 Director of the Computer Center. Managed the Computer Center resources to satisfy the hardware and software need of the academic and administrative departments in the Institute. System manager of the HP-3000 system. 1984 Advisor of the major areas of Computer Science and Computer Engineering. Assigned courses and supervised professors in both areas. Student Advising. 1982–1983 Head of the Science Department at the Preparatory School. Hired part-time teachers. Assigned courses and supervised teachers in the department. 1981–1989 Full-time Professor. Other Experience 1992 Visiting Professor, NASA, Johnson Space Center, Houston, Texas, Software Technology Branch. Research in genetic algorithms, learning classifier systems, and fuzzy control. 1988–1989 Research Assistant, University of Alabama. Research and Development Projects 2003–2014 Evolutionary computation, neural networks, and related techniques for optimization and forecasting, Research Chair, Tecnológico de Monterrey, Monterrey, Grant: $100,000 USD per year. Through this grant we researched the application of evolutionary computation, simulated annealing, and neural networks to some problems in logistics, like scheduling, routing and distribution, and forecasting. 2001–2002 Inventory optimization using buckets, TV Azteca. A computer system was developed that optimizes the sales of comercializable time in television programs. The system applied neural networks and simulated annealing for the demand forecast. 2000 Paper cutting optimization, COPAMEX. A computer system for the optimization of paper cutting was developed. The system finds the cuts of a set of paper rolls that minimize paper waste, knife movements, and other factors. 1998 Ratings forecast, TV Azteca. A system to forecast television ratings was developed. The forecast was produced for 15 minutes periods for all the national channels in Mexico in open television. The forecast could be performed for any targets. 1997–1999 Genetic algorithms for scheduling problems, CONACyT, Grant: $343,006 Mexican pesos. Through this grant, we researched the application of genetic algorithms to scheduling problems. 1993–1994 Automatic Teller Machines forecasting, BBVA Bancomer. In this project we developed a neural network based system for the forecasting of the amount of cash required by automatic teller machines. In its first year it was estimated that the system produced a savings of $1M USD in Mexico City. 1990–1993 SIBER: A computer system for the scheduling of the annealing area at HYLSA, HYLSA. A computer system based on genetic algorithms was developed to assist in the programming of the an- nealing area at HYLSA. The system fired simultaneous searchers to find near optimal solutions to various operations; the solutions found were presented to the human operator as recommendations that could be accepted, modified, or refused. The increased productivity achieved was estimated to have an impact of $4M Mexican pesos per year. 2/3
  • 3. Manuel Valenzuela-Rendón Programming Languages { MATLAB/Octave { Python (numpy, pylab) { C { LISP { Fortran IV, Basic, Pascal, Oberon, Modula-3 Honors and Scholarships Sistema Nacional de Investigadores (National Research Council) 2005–2015 National Researcher, Level I 1993–1996 National Researcher, Level I 1990–1993 National Researcher Candidate Tecnológico de Monterrey (ITESM) Awards 2004 Rómulo Garza Award 2003 for Research and Tecnological Development, First Place 1992 Premio a la Labor Docente y de Investigación 1991, This award is conferred to professors of the Tecnológico de Monterrey based on there teaching and research activities. 1981 Mención Honorífica. This award was conferred to those graduates that achieved a grade point average of at least 8.5/10 and had not received any failing grade. Scholarships 1985–1988 CONACYT Scholarship. Awarded by the Consejo Nacional de Ciencia y Tecnología (CONACYT). 1982–1984 Scholarship for professors of the Tecnológico de Monterrey Teaching (Tecnológico de Monterrey) Graduate Courses { Connectionist and Evolutionary Systems { Logistics by Artificial Intelligence { Evolutionary Computation { Genetic Algorithms { Neural Networks { Digital and Optimal Process Control { Computerized Control Systems { Optimal Control Systems { Digital Signal Processing { Introduction to Mathematics for Finance Undergraduate Courses { Computational Intelligence { Connectionist Systems { Control Engineering II { Signals and Systems II { Numerical Methods Publications and Citations ResearchGate https://www.researchgate.net/profile/Manuel_Valenzuela-Rendon2 Google Scholar https://scholar.google.com.mx/citations?user=VXFFeJMAAAAJ 3/3