Dynhora Danheyda Ramirez Ochoa | Inteligencia de enjambre | Best Researcher Award

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Dr. Dynhora Danheyda Ramirez Ochoa | Inteligencia de enjambre | Best Researcher Award

Universidad Tecnológica de Chihuahua | Mexico

Dynhora Danheyda Ramírez Ochoa is a distinguished full-time professor at Universidad Tecnológica de Chihuahua, specializing in automation, data storage and analysis, project management, and digital innovation. With a Doctorate in Technology, a Master’s in Computer Systems Engineering, and a Bachelor’s in Computer Systems with a Hardware specialization, she has cultivated extensive expertise in multidisciplinary academic and technological environments. Since beginning her tenure at the university, she has advised over seventy students, facilitated seventeen graduations, and coordinated the development and monitoring of curricula for the Information Technologies and Digital Innovation program. Her leadership spans chairing and serving on committees for ethics, research, software, and tutoring, and she actively oversees STEM mentorship initiatives through the MC3T project. Dynhora has contributed to national and international conferences, focusing on swarm intelligence, decision-making processes, and emerging technologies, while publishing in specialized journals. Her dedication to fostering collaborative research teams, integrating immersive technologies, and promoting educational innovation reflects her commitment to developing both academic excellence and applied technological solutions, positioning her as an exemplary candidate for the Best Researcher Award.

Profile: Google Scholar

Featured Publications:

Luis Pérez Domínguez | Methaheuristic and Multicriteria | Best Researcher Award

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Prof. Dr. Luis Pérez Domínguez | Methaheuristic and Multicriteria | Best Researcher Award

UNIVERSIDAD AUTONOMA DE CIUDAD JUAREZ | Mexico

Professor Luis Asunción Pérez-Dominguez, a distinguished academic and researcher in industrial engineering, holds a B.Sc. in Industrial Engineering from Instituto Tecnológico de Villahermosa, Tabasco, México, an M.Sc. in Industrial Engineering from Instituto Tecnológico de Ciudad Juárez, Chihuahua, México, and a Ph.D. in the Science of Engineering from the Autonomous University of Ciudad Juárez, Chihuahua, México. Currently serving as a professor in research at the Universidad Autónoma de Ciudad Juárez, Dr. Pérez-Dominguez has dedicated his career to advancing knowledge and practice in multiple-criteria decision making, fuzzy set applications, and the implementation of continuous improvement tools within the manufacturing sector. His work bridges theoretical innovation and practical applications, focusing on improving efficiency, precision, and decision-making processes in industrial environments. Dr. Pérez-Dominguez is actively engaged with professional communities as a member of the Canadian Operational Research Society (CORS) and the Society for Industrial and Applied Mathematics (SIAM), demonstrating his commitment to global research standards and collaborative scientific advancement. Over his academic tenure, he has contributed numerous high-quality publications, providing insights into optimization, decision-making frameworks, and advanced analytical methodologies. He also emphasizes mentorship, supervising graduate and postgraduate research projects while fostering innovation among students and colleagues. His research consistently seeks to integrate modern computational methods, fuzzy logic principles, and multi-criteria evaluation techniques to address complex industrial problems. With a strong emphasis on continuous improvement, Dr. Pérez-Dominguez’s work empowers organizations to enhance operational efficiency, make informed strategic decisions, and adopt evidence-based methodologies in production and management. By combining rigorous academic research with practical industry insights, he has established himself as a leading authority in industrial engineering, known for translating complex concepts into actionable solutions for manufacturing systems, intelligent decision support, and optimization of industrial processes, positioning him as a highly influential figure in his field.

Featured Publications:

Pérez-Domínguez, L., Rodríguez-Picón, L. A., Alvarado-Iniesta, A., … MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making. Complexity, 134.

Ramírez-Ochoa, D. D., Pérez-Domínguez, L. A., Martínez-Gómez, E. A., … PSO, a swarm intelligence-based evolutionary algorithm as a decision-making strategy: A review. Symmetry, 14(3), 455.

Villagran-Vizcarra, D. C., Luviano-Cruz, D., Pérez-Domínguez, L. A., … Applications analyses, challenges and development of augmented reality in education, industry, marketing, medicine, and entertainment. Applied Sciences, 13(5), 2766.

Pérez-Domínguez, L., Alvarado-Iniesta, A., Rodríguez-Borbón, I., … Intuitionistic fuzzy MOORA for supplier selection. Dyna, 82(191), 34–41.

Garcia Aguirre, P. A., Perez-Dominguez, L., Luviano-Cruz, D., … PFDA-FMEA, an integrated method improving FMEA assessment in product design. Applied Sciences, 11(4), 1406.

Contreras-Masse, R., Ochoa-Zezzatti, A., García, V., Pérez-Dominguez, L., … Implementing a novel use of multicriteria decision analysis to select IIoT platforms for smart manufacturing. Symmetry, 12(3), 368.