جستجوی استاد راهنمای دانشگاهی

David Christopher Balderas-Silvaمشاهده پروفایل

استاد پژوهش

• computer vision
• artificial intelligence
• brain-computer interfaces
• +۲ مورد دیگر

David Christopher Balderas-Silva serves as a Research Professor at Tecnológico de Monterrey's Institute for Advanced Materials for Sustainable Manufacturing in Mexico City. His interdisciplinary work bridges biomedical engineering, computer science, and advanced manufacturing with emphasis on sustainable industrial solutions and accessibility. His educational credentials include: B.Eng. in Mechatronics Engineering from Universidad Panamericana MSc in Biomedical Engineering from Delft University of Technology PhD in Engineering Sciences from Tecnológico de Monterrey Dr. Balderas-Silva's research centers on computer vision , artificial intelligence , and brain-computer interfaces , with applications in healthcare accessibility, robotics, and Industry 4.0. His work on EEG-based speech decoding and 3D-printed assistive devices demonstrates commitment to inclusive technology, while metaheuristic optimization research advances sustainable manufacturing. Recent publications reveal strong focus on neural signal processing (40% of 2022-2024 output) and computer vision for robotics (30%), with growing emphasis on UN Sustainable Development Goals related to disability inclusion and clean energy. His recognition includes: Mexican Researcher Certification - Level 1 As a member of the Mexican National Researchers System, he has co-authored over 20 publications and multiple inventions. His Education 4.0 pedagogy initiatives for machine learning and neurotechnology training highlight academic leadership. While specific grant details aren't provided, his Institute affiliation indicates active participation in collaborative research addressing sustainable manufacturing and assistive technology gaps. He contributes to the Institute for Advanced Materials for Sustainable Manufacturing through projects integrating brain-computer interfaces with industrial robotics, developing low-cost eye-tracking systems, and optimizing PCB manufacturing via digital twins. His lab work emphasizes cross-disciplinary teams focused on translating AI research into practical solutions for Industry 4.0 challenges.

Abraham Benito Barragán Amigónمشاهده پروفایل

پژوهشگر

• Semi-infinite linear programming
• Optimization
• Mathematical programming
• +۲ مورد دیگر

Abraham Benito Barragán Amigón is a faculty researcher at the Universidad Autónoma de Nuevo León (UANL) , specifically within the Faculty of Physical and Mathematical Sciences . He is an active member of the National System of Researchers (SNI) at the candidate level (2019-2021) and holds a doctoral degree with Cum Lauden honorable mention (2017). His research centers on semi-infinite linear programming , with a focus on primal-dual partitions, bounded coefficients, and continuous optimization problems. He has extensively contributed to advancing theoretical frameworks and algorithms in this domain, as evidenced by his numerous publications in high-impact journals and conference proceedings. Barragán Amigón has been a frequent speaker at national and international conferences, including the XIII Balkan Conference on Operational Research (BALCOR 2018) in Serbia and the Sixth International Conference on Mathematics and its Applications at the Benemérita Universidad Autónoma de Puebla (2019). His work bridges mathematical theory and practical applications in operations research. Scientific Awards: Cum Lauden honorable mention in the doctoral degree (2017) Member of the National System of Researchers, candidate level (2019-2021) Institutional Contributions: Active member of the research community at UANL's Faculty of Physical and Mathematical Sciences. Participation in multiple national congresses of the Mexican Mathematical Society and Mexican Society of Operations Research, fostering academic collaboration.

• Operations Research
• Optimization Models
• Linear Programming
• +۶ مورد دیگر

Juan Carlos Espinoza-García is an Adjunct Professor in the Department of Administration and Business Management at Tecnológico de Monterrey (Campus Querétaro). His part-time role includes teaching optimization-focused courses and conducting applied research in industrial systems. He holds affiliations with the Challenge Based Research Fund and contributes to Sustainable Development Goals (SDG 9: Industry/Innovation, SDG 11: Sustainable Cities). Education: PhD Business Administration - ESSEC Business School MS Industrial Engineering - University of Michigan MS Manufacturing Systems - Tecnológico de Monterrey BS Industrial Engineering - Tecnológico de Monterrey His research specializes in operations research and optimization methodologies , particularly Linear/Mixed-Integer Programming applied to logistics, scheduling, and robust decision-making under uncertainty. This work addresses real-world industrial challenges through mathematical modeling, emphasizing efficiency in supply chains and production systems. Recent publications highlight interdisciplinary applications: A 2024 study integrates project management frameworks into engineering education, while 2019 work optimizes quality inspection processes in manufacturing. This reflects consistent focus on bridging theoretical optimization with practical implementation. Teaching responsibilities include: Heuristics/Metaheuristics for Process Optimization Value Chain Modeling Intelligent Logistics Networks Organizational Process Optimization

Oscar Martínez Romeroمشاهده پروفایل

استاد پژوهش

• Nanotechnology
• Manufacturing Systems
• Mechanical Engineering
• +۵ مورد دیگر

Oscar Martínez Romero is a Research Professor at the School of Engineering and Science at Tecnológico de Monterrey, where he has been affiliated with the Department of Mechanical Engineering since January 2000. His academic journey began at the same institution, where he earned his Mechanical Electrical Engineering degree in 1996, followed by a Master of Science in Manufacturing Systems in 1999, and ultimately a Doctor of Engineering Sciences in 2011. His educational background includes: Mechanical Electrical Engineer, Tecnológico de Monterrey Master of Science with specialization in Manufacturing Systems, Tecnológico de Monterrey PhD in Engineering Sciences, Tecnológico de Monterrey Professor Martínez-Romero's research spans multiple cutting-edge domains in engineering, with particular emphasis on magnetorheological materials, fractal mechanics, and sustainable manufacturing processes. His work integrates theoretical modeling with practical applications, particularly in the development of smart materials and advanced manufacturing techniques. His publications consistently demonstrate innovative approaches to solving complex engineering problems through the application of fractal geometry and advanced mathematical modeling. Analysis of his recent publications (2021-2025) reveals a clear research trajectory focused on the intersection of smart materials, fractal-based modeling, and sustainable manufacturing. His work on magnetorheological elastomers, fractal mechanics, and additive manufacturing demonstrates exceptional technical depth and innovation. The consistent application of fractal concepts across diverse engineering problems highlights his unique research perspective and methodological contributions to the field. His scientific recognition includes: Mexican Researcher Certification - Level 1 Member of the National System of Researchers Level I With over 20 publications in refereed scientific journals and 23 articles in international congresses, Professor Martínez-Romero has established a robust research program. His grant portfolio includes 4 PEI projects with a total budget close to $600,000 USD with Acertek and Whirlpool companies, a basic science project, 2 postdoctoral fellowships, and a research stay. He has collaborated with global companies including Siemens, Whirlpool, Vitro, Prolec GE, Corporación Industrial de Moldeo SA de CV, Kubrelam, and Vidrios y Cristales Ontiveros, resulting in 12 technological developments. He is an active member of the Research Group on Nanotechnology and Device Design and the Thematic Network of Nanosciences and Nanotechnology since June 2016. His previous research stays at the University of Girona (Spain), Rice University, and the University of Houston have significantly contributed to his expertise in medical devices, nanostructured composites, and intelligent materials.

Ernesto Armando Pacheco-Velázquezمشاهده پروفایل

پژوهشگر

• Serious Games in Education
• Logistics and Supply Chain Simulation
• Self-Directed Learning
• +۳ مورد دیگر

Ernesto Armando Pacheco-Velázquez serves as an Adjunct Researcher at Tecnológico de Monterrey's Institute for the Future of Education, specializing in Educational Technology within the Institute's research structure. His work bridges industrial engineering, mathematics education, and digital learning innovation. Academic Background: PhD in Administration (Operations Management focus) from Tecnológico de Monterrey (2004) Master of Science in Industrial Engineering (Honorable Mention) from Tecnológico de Monterrey Master of Education in Mathematics from Tecnológico de Monterrey Bachelor's in Mathematics from Universidad Autónoma de Guadalajara His research centers on serious games and simulation-based learning for developing complex skills in logistics and supply chain education. He pioneers methodologies for creating educational simulators (notably the patented LOST: Logistic Simulator) to address VUCA challenges in Industry 4.0 environments. His work emphasizes self-directed learning, game-flow theory, and adapting educational technologies for Latin American contexts through participatory design approaches. Analysis of his recent publications reveals a strong trend toward quantitative validation of educational technologies (2023-2025), with increasing focus on psychometric properties of engagement metrics, linear programming for game attribute evaluation, and UX optimization of virtual logistics simulators. His research consistently targets practical implementation in engineering education while contributing to theoretical frameworks in complex systems learning. Key Recognition: The Tower of Excellence (highest GPA in doctoral cohort) Mexican Researcher Certification - Candidate Honorable Mention in Industrial Engineering Master's program Pacheco-Velázquez actively contributes to educational innovation through the LOST simulator project (patented in 2019), which serves as a cornerstone for his research on developing comprehensive logistics vision through game-based learning. His work aligns with UN Sustainable Development Goals including Quality Education (SDG4), Industry Innovation (SDG9), and Responsible Consumption (SDG12), demonstrating commitment to practical applications of educational technology for societal impact.