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Guillermo Valencia-Palomo
PhD, MSc, BEng.
Automatic Control and Systems Engineering


Guillermo Valencia-Palomo was born in Merida, Mexico, in 1980. He received the Engineering degree in Electronics from the Tecnológico Nacional de México-IT Mérida, Mexico, in 2003, and the M.Sc. and the PhD degree in Automatic Control from the National Center of Research and Technological Development (CENIDET) in 2006 and The University of Sheffield U.K. in 2010, respectively. Since 2010, Dr. Valencia-Palomo is a Full-time (Tenured) Professor at Tecnológico Nacional de México-IT Hermosillo. He is author/co-author of over 70 research papers published in JCR-indexed journals and several international conferences. As a product of his research, he has 1 patent in commercial exploitation. He has led a number of funded research projects, and the funding for these projects is comprised of a mixture of sole investigator funding, collaborative grants, and funding from industry. His research interests include predictive control, linear parameter varying systems, fault detection, fault-tolerant control systems, and their applications to different physical systems.

National Researcher Level 2 (SNI Nivel 2)

Scopus ID: 36012227700

ORCID: 0000-0002-3382-8213

Web of Science: F-8544-2010

ReserchGate: Profile 

Scholar Google: Profile

CV English ver.

CV Spanish ver.



  • Predictive control.

  • Fault diagnosis.

  • Fault-tolerant control.

  • Unmanned aerial vehicles.

  • Pipeline leak detection systems.

  • Control applications.

  • Ph.D. in Automatic Control and Systems Engineering, 2010. 

      University of Sheffield, U.K.

  • MSc in Electronic Engineering, 2006. 

      National Center for Research and

      Technological Development (CENIDET)

  • BEng. in Electronic Engineering, 2003. Tecnológico Nacional de México, Instituto Tecnológico de Mérida.

Ediorial board memberships

Edited books

  • Innovative Techniques for Safety, Reliability, and Security in Control Systems, 2023. Processes

  • Advanced Mathematics and Computational Applications in Control Systems Engineering, 2020. MCA 

  • Optimization for Control, Observation, and Safety, 2019. Processes 

  • Optimization in Control Applications, 2018. MCA 

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