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Research @ AIMS

Smart materials AIMS

01. Advanced and Sustainable Manufacturing

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Convergence of advanced manufacturing processes, robotics and materials innovation — from design to system-level performance.

Emphasis on connecting materials design, process optimization and manufacturing capabilities

  • Sustainable and energy-efficient manufacturing
  • Advanced materials design
  • Collaborative robotics and flexible cells
  • Multi-objective process optimization
  • Additive and hybrid manufacturing
Principal investigators Postdocs

Lead

 Sponsored projects Publications 2024–26
+10 13 Dr. Alejandro Montesinos Castellanos 10 active +50 papers

Interested in doing experimental research with us? Our PerkinElmer-sponsored laboratory runs a complete line of top-tier analytical equipment for developing and scaling up smart materials, biosensors, waste valorization processes and microfluidic devices, with applications from agriculture to energy.

  • Contact us at the SMART-PerkinElmer Laboratory

 

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Artificial Intelligence for Industrial Systems.

02. AI for Manufacturing Systems

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AI that doesn't operate in isolation — integrated with sensors, computing infrastructure and physical control layers, robotics and energy platforms.

AIMS moves from isolated models to adaptive, autonomous, fully integrated industrial applications.

  • Autonomous and adaptive decision-making
  • Plant and line digital twins
  • Computer vision and distributed sensing
  • Energy and operations optimization
  • Trustworthy AI and observability systems
PRINCIPAL INVESTIGATORS POSTDOCS Lead Industry pilots Patents 2024–26
08 06 Dr. Pedro Ponce Cruz 06 active 03 registered

 

 

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Supply Chain Logistics Systems

03. Supply Chain & Logistics Systems

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End-to-end supply chain design and transformation.

We integrate AI, optimization methods and empirical data to address resilience, efficiency and sustainability — with particular attention to Scope 3, regulatory pressure and global volatility.

  • Digital transformation of supply chains
  • Smart logistics and last-mile delivery
  • Distribution network design strategies
  • Resilient and disruption-resistant chains
  • Warehouses of the future
  • Scope 3 visibility and traceability
PRINCIPAL INVESTIGATORS POSTDOCS Lead Active industry projects Industry reports
03 02 Dr. Josué C. Velázquez Martínez +5 02 annual

 

 

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Low Income Firms Transformation LAB

04. Low-Income Firms Transformation Lab

LIFT Lab ● IN COLLABORATION WITH MIT CTL

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AI applied to micro and small enterprises in low-data environments.

An initiative born at MIT CTL, actively expanding at Tec de Monterrey — combining technological innovation with large-scale field deployment for measurable productivity, inclusion and resilience.

  • AI with scarce and imperfect data
  • Image recognition for inventory management
  • AI assistants for SMEs
  • Inclusive supply chain design
  • Public policy and social impact
  • Performance tracking and analytics
COUNTRIES SMEs LEAD Origin Active projects
04 +5K Dr. Josué C. Velázquez Martínez MIT CTL · 2018 04 ongoing

 

Research Model AIMS

 

 

Within Tecnológico de Monterrey, AIMS operates as a unifying platform — bringing together faculty, capabilities and infrastructure across schools and campuses to address complex industrial challenges. It does not replace or duplicate existing disciplinary strengths; it integrates and amplifies them. By facilitating industry-sponsored research, cross-disciplinary collaboration and technology deployment, AIMS scales Tecnológico de Monterrey capacity to engage with external partners and lead the transformation of manufacturing and supply chain systems.

 

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We work from the industrial partner's challenge: a problem with a defined impact metric, not an abstract academic topic.

We cross areas and campuses from day one — manufacturing with AI, supply chain with sustainability — because real problems don't respect disciplines.

Deployment is part of the work, not a later step. We validate under real conditions with real data.

 

 

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