Professional Portfolio
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. With a proven record of top academic performance, published research and engineering delivery, I pursue world-class science and engineering. 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.
Research & Development Areas
Six connected domains organize a practice spanning physical science, intelligent computation, engineered systems, field deployment and technical leadership.
R&D Area 01
Advanced physical-science work connecting nanoscale structure, transport mechanisms, diffusion, percolation and experimentally measured material response.
A material-scale map from morphology to measurable physical behaviour.
R&D Area 02
Advanced electromagnetic science connecting fields, materials, antennas, resonators, scattering and RF instrumentation to measurable wireless response.
Block diagram connecting excitation, interaction, measurement and interpretation.
R&D Area 03
The strongest capability area: scientific computing and computational engineering that bridge physical models, multiphysics and multiscale modelling, numerical simulation, AI, experimental data and deployable engineering systems.
Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.
R&D Area 04
Mechatronics engineering focused on full-stack software-hardware integration: mechanical and electronic design, embedded control, robotics, instrumentation hardware, prototypes and deployment.
Models are tested against experiments and returned to engineering decisions.
R&D Area 05
Field engineering evidence across commissioning, troubleshooting, client delivery, manufacturing and operational improvement.
A traceable path from operational need to deployed system performance.
R&D Area 06
Technical leadership that moves research capability into teams, laboratories, curricula, project-management systems, workshops and international engineering communities.
Research capability is transferred through laboratories, teams, curricula and industry links.
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.
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
Top-three Academic Performance Recognition, 2023-2025; First Performance Recognition, 2026 - UIDE
First official NVIDIA University Ambassador in Ecuador - NVIDIA Academic Programme, USA, 2025
NVIDIA University Ambassador - Omniverse, Isaac Sim and Jetson technology transfer, 2025
Vice Chair - AAAI Official Ecuador Chapter, 2025-Present
Full PhD Scholarship - Northumbria University, United Kingdom, 2020-2024
Engineering and Environment Faculty Community Representative - Northumbria Students Union, 2022-2023
Best Conference Presentation Award - 2022, India
MSc First-Class Distinction - Northumbria University, United Kingdom, 2019
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.
Fundamentals, Applications and Deploying Tiny Machine Learning.
Identifying Opportunities; Creating Innovative Business Models; Marketing Innovative Products and Services; Financing Innovative Ventures.
Professional Links
Research, engineering initiatives, direct contact and the full link directory.