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Admission started for 2020

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I’ M Dr. Gustavo Sanchez

Professor

Institute of Engineering & Technology

Area/Specialization

Electrical & Electronics Engineering

Qualifications

PhD

Email

[email protected]

MY BIOGraphy

As a professional with 23 years of experience in Automation and Data Science the purpose of Dr. Gustavo Sanchez is to help people to fully leverage the opportunities of cost-efficient technologies. He has published 22 peer-reviewed articles, being honoured in 2010 with the IEEE Computational Intelligence Society Best Paper Award. He has been associated with different universities in Venezuela, Mexico, USA, China and India. The current research interests of Gustavo includes Machine Learning, Remote Sensing and IoT applications for agricultural purposes.

Automation
Control Systems
Data Science
Machine Learning
Remote Sensing
IoT

GAGAN and GIS for estimation & verification of small reservoir storage in India Chambal Basin, India. ISRO/SAC. 2017-2019
Batteries in Portable Electronic Devices. University of Maryland, USA. 2015.
A low-cost control system for hydraulic applications. Simon Bolivar University, 2012.

 

IEEE Computational Intelligence Society Best Paper Award. 2010.
Best Student Paper Award – 4th International Conference “ Evolutionary Multi-Criterion Optimization “ Matsuhima, Japan, 2007

Saxena, S., Sanchez, G., Pecht, M (2017) Batteries in Portable Electronic Devices: A User’s Perspective. IEEE Industrial Electronics Magazine, vol. 11, no. 2, pp. 35-44. doi: 10.1109/MIE.2017.2688483
Requez, J. Sanchez, G. Strefezza, M and Granado, E (2016) PID-Control Optimization Using Solis-Wets Algorithm and Laguerre System Identification. IEEE Latin America Transactions, vol. 14, no. 2, pp. 624-630.
Castillo, F. and Sanchez, G. (2017) 2DOF Helicopter models: A simulation evaluation for MPC applications . IEEE 3rd Colombian Conference on Automatic Control (CCAC), Cartagena, pp. 1-6.
Lara, A; Sanchez, G; Coello-Coello, C; Schuetze, O. (2010) HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. IEEE Trans. on Evol. Comput. Vol. 14. pp: 112 – 132.
Sanchez, G; Villasana, M. Strefezza, M. (2008) Solving Multi-Objective Linear Control Design Problems Using Genetic Algorithms. 17th IFAC World Conference. Seoul, Korea.

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