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Alma y Alanis

Alma y Alanis

Alma Y. Alanis received a Ph.D. degree in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara Campus, Mexico, in 2007. Since 2008, she has been with the Universityof Guadalajara, where she is currently a Chair Professor in the Department of Computer Science. She is also a member of the Mexican National Research System (SNI-3) and the Mexican Academy of Sciences. She has published papers in recognized international journals and conferences, as well as eight international books. She is a Senior Member of the IEEE and a Subject Editor for the Journal of Franklin Institute (Elsevier), IEEE/ASME Transactions on Mechatronics, IEEE Access, IEEE Latin American Transactions, and Intelligent Automation & Soft Computing. In 2013, she received the grant for women in science by L'Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015, she received the Marcos Moshinsky Research Award. Since 2008, she has been a member of the Accredited Assessors record RCEA-CONACYT, evaluating a wide range of national research projects, and has served on important national and international project evaluation committees. Her research interests center on neural control, backstepping control, block control, and their applications to electrical machines, power systems, and robotics.

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Artificial Neural Networks for Engineering Applications45 %
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Bio-inspired Algorithms for Engineering45 %
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Neural Networks Modeling and Control45 %
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Neural Networks for Robotics
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Artificial Intelligence Innovations for Biomedical Engineering and Healthcare45 %
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Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment45 %
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Neural Networks for Robotics32 %
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Discrete-Time Neural Observers45 %
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Decentralized Neural Control: Application to Robotics37 %
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Decentralized Neural Control: Application to Robotics37 %
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Discrete-Time High Order Neural Control
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Neural Networks for Robotics
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Neural Networks for Robotics
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Neural Networks for Robotics
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