Technical Profile
UK-trained R&D scientist-engineer with a PhD in Mechanical and Electronics Engineering, 10+ years of multidisciplinary engineering experience and 5+ years in applied R&D. I bridge the gap between science and engineering by connecting electromagnetic sensing, advanced materials, numerical modelling, scientific computing, artificial intelligence, experimental characterization and integrated instrumentation to move physical research toward validated technology.
R&D AREA 01
Advanced physical-science work connecting nanoscale structure, transport mechanisms, diffusion, percolation and experimentally measured material response.
Career
Directed the School of Telecommunications Engineering, curriculum modernization, ABET-aligned outcomes, industry partnerships, communications laboratories and student research.
Coordinated 35 multidisciplinary projects and taught artificial intelligence and digital systems through supervised and unsupervised learning, deep learning, Python, MATLAB, embedded intelligence, robotics and real engineering scenarios.
First official NVIDIA University Ambassador in Ecuador; deployed Omniverse, Isaac Sim and Jetson through simulation, workshops, engineering-project supervision and academic-industry collaboration.
Volunteer leadership supporting artificial-intelligence community development, technical exchange and professional service in Ecuador.
Volunteering role representing faculty community interests and contributing to academic community engagement during the PhD period.
Applied R&D in intelligent sensing, spatial computing, augmented reality, IoT, educational technology and hardware-software integration.
PMI-aligned project definition, feasibility, engineering coordination and technical documentation.
Commissioning, troubleshooting and embedded monitoring across 23 electromechanical field installations.
Designed and built a mobile robotic transport platform integrating mechanical, electrical, control, sensing and embedded subsystems.
Education and Professional Certificates
Electromagnetic sensing, wireless structural-health monitoring, CNT/epoxy nanocomposites and computational multiphysics.
Advanced mechanical engineering, systems architecture and computational engineering.
Machine learning for resource-constrained and embedded intelligent systems.
Innovation strategy, business operations and technology-led organizational development.
Mechatronics, robotics, automation, electronics, mechanics and control systems.
International Technical Communication
Invited presentations and conference talks across Europe, Asia and South America.
Teaching record / Ecuador
Faculty Week presentation / Lithuania
UNESCO programme / Ecuador
Faculty Week presentation / Lithuania
Invited presentation / Ecuador
Invited presentation / Ecuador
Conference presentation / Japan
Conference presentation / India
Conference presentation / Czech Republic
Conference presentation / United Kingdom
Leadership and Service
First official NVIDIA University Ambassador in Ecuador - NVIDIA Academic Programme, USA
Full PhD Scholarship - Northumbria University, United Kingdom
MSc First-Class Distinction - Northumbria University, United Kingdom
Best Conference Presentation Award - 2022, India
Top-three Academic Performance Recognition, 2023-2025; First Performance Recognition, 2026 - UIDE
NVIDIA University Ambassador - Omniverse, Isaac Sim and Jetson technology transfer
Vice Chair - AAAI Official Ecuador Chapter, 2025-Present
Engineering and Environment Faculty Community Representative - Northumbria Students Union, 2022-2023
Northumbria University Campus Ambassador - 2018-2019
Scientific Record
Published research and accepted engineering outputs, each connected to the systems it supports.
Patch-antenna and VNA characterization of nanocomposite electromagnetic response across antenna field regions.
Wireless measurements and multiscale modelling connected acid diffusion with electrical, porosity and RF-response changes.
Experimental validation of resistor-network and finite-element models for conductivity and electrical percolation.
Combined experiment, RVE, FEA and resistor-network analysis of agglomeration, porosity, mechanics and conductivity.
Comparative research across vision, radar, laser, wireless, embedded and hybrid non-contact SHM methods.
Temperature-dependent RVE and FEA models validated against dynamic mechanical analysis.
Mechanical and electromagnetic characterization linked material degradation with wireless-SHM potential.
Discrete-element simulation applied to industrial wear prediction.
Conference research on autonomous mobile-robot logistics and motion planning.
Wireless sensing and connected monitoring applied to agricultural epidemic detection.
Professional Links
Research, engineering initiatives, direct contact and the full link directory.