Keynote Speaker XVHIS 2022
PhD. Fevrier Valdez
BIOGRAPHY:
The PhD. Fevrier Valdez is a researcher of the National System of Researchers Level 2 in Mexico recognized by CONACYT and he was elected in 2020 to the grade of Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) in recognition of professional standing. His main interests are Intelligence Computing, Swarm Intelligence, Bio- Inspired and Nature Computing, Evolutionary Computing, Fuzzy Logic, Neural Networks, Intelligence Control and Parallel Computing. Hi is currently, Guest Editor in the Axioms Journal in the special Issue: Swarm Intelligence with Mathematical Fuzzy Logic of Computer Science in Real-World Applications; and also, was Guest Editor in the Journal Computational Intelligence and NeuroScience in the special issue: Nature-Inspired Optimization Algorithms for Neuro-Fuzzy Models in Real World Control and Robotic Applications. He has delivered 4 keynote talks in (Universidad Autonoma de Sinaloa, Instituto Tecnólogico de Los Mochis, Universidad Autonoma de Chihuahua and Universidad Autónoma de Baja California).
This research work is of great relevance at international level, which had allowed an international recognition. Is professor-researcher of full time in the Tijuana Institute of Technology.
With his academic production, the professor has achieved to publish papers in several international journals, world congress and some book chapters which are described as follows:
- 55 Journal articles
- 69 Book chapters
- 69 Conferences and workshop papers
- 4 Authored books
- 1 Editorial paper
Also, one research was recognized as a Best Paper Award Second Place with the paper “Backpropagation Method with Type-2 Fuzzy Weight Adjustment for Neural Network Learning” in the Congress North American Fuzzy Information Processing Society 2012, Berkeley CA, USA. Dr. Valdez, nowadays is reviewer of papers in the international journals of Applied Soft Computing, Information Sciences, IEEE Transactions on Fuzzy Systems e IEEE Transactions on Neural Networks, Hindawi, NeuroScience, etc. Professor Valdez, has advisedmore than 20 Master and Doctorate thesis student and has formed 4 researchers that belong to the system SNI.
BIO-INSPIRED ALGORITHMS USING FUZZY SYSTEMS FOR PARAMETER ADAPTATION AND THEIR APPLICATIONS IN COMPU
ABSTRACT:
Bio inspired methods based on swarm intelligence are a recent topic of research and they are based on using of some bio-inspired behavior to solve complex optimization in computational intelligence. Nowadays, several approaches have been developed in this area, such as particle swarm optimization, bat algorithm, ant colony optimization, bee colony, dolphin algorithm, wolf search, flower pollination algorithm, firefly, mayfly, ant colony, cuckoo search, termite colony and cat swarm, just to mention a few. However, how to design efficient methods and how to use these algorithms for real world application problems are active areas of research. In particular, path planning of Mobile Robot by Neural Networks, the design of Neuro-Fuzzy Models; like fuzzy neural networks, fuzzy parameter adaptation in control systems, and intuitionistic fuzzy neural networks, have some current interest. In addition, new emerging neural models have been recently proposed. In all these models a common problem is how to obtain an optimal topology, which can be handled by bio-inspired optimization algorithms. In this talk, we report on the last works using bio-inspired algorithms, or new applications of existing methods in the design of topologies of neural models, parameter adaptation in control systems and path planning of robots, etc, with ultimate the goal of exploring future research directions.