World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
31092
World Ranking
376
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Mexico Leader Award
  • 2025 - Research.com Computer Science in Mexico Leader Award
  • 2023 - Research.com Computer Science in Mexico Leader Award
  • 2022 - Research.com Computer Science in Mexico Leader Award

Overview

Oscar Castillo is affiliated with the Instituto Tecnológico de Tijuana in Mexico. Their research spans several fields including computer science, engineering, and mathematics, with a primary focus on artificial intelligence, control and systems engineering, and statistics and probability. Their subfields of study notably include artificial intelligence, control and systems engineering, computer vision and pattern recognition, and management science and operations research.

The scientist's main topics of work cover a spectrum of areas such as fuzzy logic and control systems, neural networks and applications, metaheuristic optimization algorithms research, fuzzy systems and optimization, robotic path planning algorithms, evolutionary algorithms and applications, and multi-criteria decision making.

Oscar Castillo has contributed to several peer-reviewed recent papers, including:

  • A comprehensive review on type 2 fuzzy logic applications: Past, present and future, 2020, published in Engineering Applications of Artificial Intelligence
  • Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico, 2020, published in Healthcare
  • Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps, 2020, published in Chaos Solitons & Fractals
  • RETRACTED ARTICLE: Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm, 2020, published in Soft Computing
  • Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic, 2020, published in Chaos Solitons & Fractals

The scientist frequently collaborates with several co-authors, including Patricia Melín, Fevrier Valdez, José Soria, Prometeo Cortés-Antonio, and Cinthia Peraza.

Oscar Castillo has published extensively in journals such as:

  • International Journal of Fuzzy Systems
  • Soft Computing
  • Axioms
  • Computación y Sistemas
  • Mathematics

Their book publications are predominantly with Springer Nature and Springer International Publishing, featuring titles on fuzzy logic systems, neural networks, intelligent system design, and optimization algorithms. Some notable book titles include:

  • Interval Type-3 Fuzzy Systems: Theory and Design (2022)
  • Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications (2020)
  • Modern Adaptive Fuzzy Control Systems (2022)
  • Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications (2023)
  • Data Analytics and Management (2021)
  • Hybrid Intelligent Systems (2022)
  • Neural Networks and Learning Algorithms in MATLAB (2022)

Best Publications

  • Type-2 Fuzzy Logic: Theory and Applications

    O. Castillo;P. Melin;J. Kacprzyk;W. Pedrycz

  • Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation

    M.A. Porta Garcia;Oscar Montiel;Oscar Castillo;Roberto Sepúlveda

  • A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems

    Oscar Castillo;Leticia Amador-Angulo;Juan R. Castro;Mario Garcia-Valdez

  • Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms

    Ricardo Martínez;Oscar Castillo;Luis T. Aguilar

  • A review on the design and optimization of interval type-2 fuzzy controllers

    Oscar Castillo;Patricia Melin

  • A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks

    Juan R. Castro;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz

  • Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot

    Oscar Castillo;Ricardo Martínez-Marroquín;Patricia Melin;Fevrier Valdez

  • A review on interval type-2 fuzzy logic applications in intelligent control

    Oscar Castillo;Patricia Melin

  • Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic

    Roberto Sepúlveda;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz

  • Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic

    Patricia Melin;Claudia I. Gonzalez;Juan R. Castro;Olivia Mendoza

  • A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition

    Patricia Melin;Oscar Castillo

  • Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic

    Patricia Melin;Frumen Olivas;Oscar Castillo;Fevrier Valdez

  • An Interval Type-2 Fuzzy Logic Toolbox for Control Applications

    J.R. Castro;O. Castillo;P. Melin

  • Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems

    Mauricio A. Sanchez;Oscar Castillo;Juan R. Castro

  • A comprehensive review on type 2 fuzzy logic applications: Past, present and future

    Kanika Mittal;Amita Jain;Kunwar Singh Vaisla;Oscar Castillo

  • An improved evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms

    Fevrier Valdez;Patricia Melin;Oscar Castillo

  • Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory

    O. Castillo;P. Melin

  • Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems

    Patricia Melin;Oscar Castillo

  • Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control

    Leticia Cervantes;Oscar Castillo

  • A generalized type-2 fuzzy granular approach with applications to aerospace

    Oscar Castillo;Leticia Cervantes;Jose Soria;Mauricio Sanchez

  • Studies in Computational Intelligence

    Ulises Orozco Rosas;Kenia Picos;Oscar Montiel;Oscar Castillo

  • Optimization of Interval Type-2 Fuzzy Logic Controllers for a Perturbed Autonomous Wheeled Mobile Robot Using Genetic Algorithms.

    Ricardo Martínez-Soto;Oscar Castillo;Luis T. Aguilar

Frequent Co-Authors

Patricia Melin
Patricia Melin Instituto Tecnológico de Tijuana
Fevrier Valdez
Fevrier Valdez Instituto Tecnológico de Tijuana
Witold Pedrycz
Witold Pedrycz University of Alberta
Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Krassimir T. Atanassov
Krassimir T. Atanassov Bulgarian Academy of Sciences
M. H. Fazel Zarandi
M. H. Fazel Zarandi Amirkabir University of Technology
Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Eulalia Szmidt
Eulalia Szmidt Systems Research Institute
Deepak Gupta
Deepak Gupta Maharaja Agrasen Institute of Technology (MAIT)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to many flexible online degree options and rewarding career tracks. Students interested in the foundations of science and technology can consider an online physics degree, which offers a solid base for tech-driven roles.

For those who love working with data, there are many data science degrees online that combine statistics, programming, and business intelligence. These skills are in high demand across industries.

Graduates looking to specialize can pursue an online master’s in electrical engineering degree, ideal for advancing careers in hardware, robotics, and smart systems.

If you're seeking quicker routes to employment, consider 3-month certificate programs that pay well. These short-term certifications can launch you into tech or data roles without a long-term commitment.

With these related pathways, students have more opportunities than ever to build skills, gain credentials, and step confidently into dynamic tech careers.

Best Scientists Citing Oscar Castillo

Trending Scientists

Recently Published Articles