Physics / Research / Engineering / Validation
Sebastian Tamayo-Vegas
Physics-Led R&D Scientist-Engineer
Electromagnetics, Wireless Sensing, Nanotechnology and Computational Multiphysics - from physical modelling to validated instruments and intelligent engineering systems.
Complete portfolio export: technical profile, R&D areas, project records, publications, career, education, conferences, recognition and professional links.
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.
- 70+
- projects and technical initiatives
- 13
- research outputs
- 1
- patent-pending platform
- 400+
- people coordinated
01 Advanced Science Nanotechnology
Nanoscale materials, nano-enabled transport phenomena, percolation, diffusion, environmental exposure, material-response modelling, experimental characterization and publications.
Contactless Characterization under Acid Exposure
Wireless measurements and multiscale models connected acid diffusion with changes in nanocomposite electrical and RF behaviour.
Problem: Chemical penetration can degrade CNT/epoxy structures while conventional inspection may require disassembly and extensive processing.
Solution: A contactless wireless method using microstrip-antenna scattering parameters, supported by multiscale electrical and porosity models.
Technical contribution: Investigated acid-exposure effects, performed RF measurements, developed the computational model and interpreted conductivity and porosity changes.
- Anechoic-chamber VNA measurements
- Microstrip-antenna S11/S21 analysis
- Acid-exposure comparison over time
- Multiscale conductivity, porosity and dielectric modelling
- Time-dependent RF response: Return and insertion loss were measured for control and acid-exposed specimens.
- Multiscale material model: Conductivity and porosity changes reproduced the observed return-loss trend.
- Composite Structures 2023: Peer-reviewed experimental and computational study.
- Wireless degradation signal: The published study found that acid diffusion altered return and insertion loss and supported contactless SHM potential.
Role and context: Lead author and Doctoral Researcher; investigation, formal analysis, software and original writing.
Acid Diffusion, Mechanical Response and Wireless SHM
Mechanical and electromagnetic measurements converged on material degradation behaviour relevant to multimodal structural-health monitoring.
Problem: Harsh chemical environments create degradation gradients that require both local and bulk characterization to understand structural condition.
Solution: A combined mechanical and electromagnetic study using DMA, nanoindentation and VNA measurements across CNT concentration and acid exposure.
Technical contribution: Connected nanoscale and bulk mechanical behaviour with electromagnetic measurements to evaluate degradation and sensing relevance.
- Dynamic mechanical analysis
- Nanoindentation
- VNA electromagnetic measurements
- Comparative analysis across acid-exposure duration and CNT concentration
- Multimodal material characterization: Bulk, local and electromagnetic measurements evaluated the same degradation system.
- Applied Mechanics 2023: Peer-reviewed combined mechanical and electrical characterization study.
- Cross-domain measurement agreement: The study reported agreement between nanoindentation and VNA trends, supporting multimodal wireless-SHM development.
Role and context: Doctoral Researcher and co-author; experimental characterization, analysis and research communication.
CNT Agglomeration: Electrical and Mechanical Behaviour
Experiments and multiscale models explained how agglomeration and porosity influence conductivity and mechanical performance.
Problem: CNT addition can improve electrical transport while agglomeration and porosity can reduce mechanical performance, creating a coupled design tradeoff.
Solution: A combined experimental and numerical investigation using mechanical and electrical testing, microscopy, RVE analysis, FEA and resistor networks.
Technical contribution: Performed formal analysis, modelling, interpretation and original writing across the electrical-mechanical study.
- Dynamic mechanical analysis and four-probe conductivity testing
- Scanning electron microscopy
- Representative-volume-element and finite-element modelling
- Three-dimensional resistor-network modelling
- Electrical and mechanical tests: Measured conductivity and stress-strain behaviour across increasing CNT content.
- Multiscale numerical validation: RVE, FEA and resistor-network models were compared with experimental behaviour.
- Polymers 2022: Peer-reviewed combined experimental and numerical study.
- 2 wt% - reported percolation region: The published study identified the electrical transition and the mechanical tradeoff associated with higher agglomeration.
Role and context: Lead analytical and writing contribution within a collaborative PhD materials study.
Temperature-Dependent Nanocomposite Mechanics
RVE and finite-element models predicted temperature-dependent viscoelastic response and were validated against dynamic mechanical analysis.
Problem: CNT/polymer components can operate under changing temperature, requiring models that capture viscoelastic transitions and agglomeration effects.
Solution: Two RVE formulations and finite-element analysis validated against dynamic mechanical testing.
Technical contribution: Developed the computational models, performed formal analysis and software work, and connected predicted transitions with experimental measurements.
- Representative-volume-element development
- Temperature-dependent finite-element analysis
- Dynamic mechanical analysis in three-point bending
- Experimental-numerical comparison
- Two RVE models: Separate formulations represented dispersed and agglomerated nanocomposite behaviour.
- DMA validation: Model predictions were compared with measured viscoelastic transitions.
- Materials Today: Proceedings 2022: Peer-reviewed thermomechanical modelling study.
- Validated transition modelling: The models reproduced the principal temperature-dependent state transitions reported in the experiments.
Role and context: Lead author and Doctoral Researcher; modelling, software, investigation and formal analysis.
02 Advanced Science Electromagnetism
Electromagnetics, RF and microwave sensing, antenna and resonator physics, scattering, S-parameters, RCS, nano-electromagnetics, field-material interaction, VNA/NanoVNA instrumentation and wireless SHM.
Portable Microwave and Passive Wireless Sensing Platform
An integrated RF instrument connecting resonant sensing structures, VNA acquisition, electromechanical positioning and Python analysis.
Problem: Conventional material-health assessment can require contact, disassembly or laboratory processing that limits continuous industrial monitoring.
Solution: A portable non-contact microwave sensing architecture that links passive RF structures, instrumentation, controlled positioning and computational analysis.
Technical contribution: Designed, simulated, fabricated, integrated and validated the complete sensing architecture from electromagnetic structure to processed measurement.
- Microstrip patch antennas and C-shaped chipless resonators
- Vector network analysis and S-parameter acquisition
- Electromechanical positioning and repeatability testing
- Python-based processing and electromagnetic interpretation
- Integrated instrument: Portable sensing prototype combining RF, motion, acquisition and software subsystems.
- Laboratory validation: Simulation, fabrication, calibration, repeatability testing and material-response experiments.
- Peer-reviewed research: The platform is supported by the connected PhD publication and validation programme.
- 1 - integrated portable platform: Patent-pending characterization system connecting physics, instrumentation and scientific software.
- 7 - connected peer-reviewed papers: Experimental and computational findings spanning RF sensing, materials and multiphysics.
Role and context: Doctoral Researcher and system developer; Northumbria University, 2020-2024.
Antennas, Chipless Resonators and Radar Cross-Section
Electromagnetic design and validation of patch antennas, C-shaped resonators and passive wireless sensing structures.
Problem: Passive sensing requires resonant structures whose frequency, bandwidth, quality factor and scattering response remain interpretable under material and environmental change.
Solution: A family of modelled and experimentally evaluated antenna-resonator configurations for chipless and non-contact sensing.
Technical contribution: Designed and optimized microstrip antennas and C-shaped resonators, then evaluated S11/S21 behaviour and monostatic and bistatic radar cross-section.
- CST Studio Suite and ANSYS HFSS electromagnetic simulation
- Parametric resonance and impedance analysis
- S11/S21, bandwidth and Q-factor evaluation
- Monostatic and bistatic radar cross-section analysis
- Electromagnetic models: Full-wave simulations used to study resonance, scattering and material-wave interactions.
- Measured RF response: VNA measurements and free-space experiments used to evaluate simulated behaviour.
- Validated resonant sensing structures: Connected modelled electromagnetic behaviour with measurable response for wireless sensing.
Role and context: Doctoral Researcher; electromagnetic design, simulation, fabrication and experimental evaluation.
VNA/NanoVNA Measurement and Python Processing Toolchain
A complete experimental workflow from RF acquisition and positioning to repeatable processing and engineering interpretation.
Problem: RF experiments produce instrument data that must be acquired consistently, associated with controlled geometry and transformed into useful engineering evidence.
Solution: An end-to-end VNA/NanoVNA-class workflow combining acquisition, electromechanical positioning, Python processing, comparison and reporting.
Technical contribution: Developed and integrated the measurement chain, automated scientific processing and connected instrument outputs to material and resonator models.
- Vector network analyzer acquisition
- S11/S21 processing and resonance-feature extraction
- Python scientific computing and data organization
- Electromechanical positioning, calibration and repeatability analysis
- Complete measurement tool: Instrumentation, positioning and software operated as one characterization workflow.
- Repeated laboratory measurements: RF response evaluated across antenna, resonator and material studies.
- Laboratory-to-deployment workflow: Converted advanced EM measurements into a reusable instrument and analysis process.
Role and context: Doctoral Researcher and instrument developer; integration of hardware, software and experimental methods.
Free-Space Microwave Characterization of CNT/Epoxy
Patch antennas and VNA measurements used to distinguish nanocomposite electromagnetic response across antenna field regions.
Problem: CNT concentration changes electrical and dielectric behaviour, but a contactless method is needed to assess how those changes alter microwave response.
Solution: A free-space patch-antenna characterization method combining VNA measurements with finite-element electromagnetic analysis.
Technical contribution: Performed experimental and numerical analysis of return-loss behaviour across reactive near-field, radiating near-field and far-field regions.
- Patch-antenna free-space measurements
- Vector network analyzer return-loss acquisition
- Antenna field-region analysis
- Finite-element electromagnetic modelling in CST
- Free-space RF measurements: CNT/epoxy specimens were evaluated using patch antennas and VNA acquisition.
- Maxwell-equation model: Finite-element models connected electrical material properties with return-loss behaviour.
- Nanoarchitectonics 2023: Peer-reviewed research article and reported experimental findings.
- Distinct field-region behaviour: The study reported CNT-dependent return-loss changes and agreement between experiment and numerical analysis.
Role and context: Lead author and Doctoral Researcher; experimental investigation, formal analysis, software and writing.
Non-Contact Structural-Health-Monitoring Methods
A technology study comparing vision, radar, laser, wireless, embedded and hybrid methods for structural condition assessment.
Problem: Structural-health-monitoring applications need sensing methods matched to damage scale, access constraints, sensitivity and deployment cost.
Solution: A structured review of non-contact SHM tools and the tradeoffs between global, local, wireless and hybrid approaches.
Technical contribution: Led the literature analysis, method classification and engineering synthesis across multiple sensing technologies.
- Structured literature search and classification
- Comparison of vision, radar, laser, wireless and embedded sensing
- Assessment of local, global and hybrid SHM strategies
- Technology-gap and deployment analysis
- Engineering Technology Open Access Journal 2021: Peer-reviewed review article spanning 25 years of non-contact SHM methods.
- Wireless and hybrid sensing direction: The review established the engineering basis for selecting contactless and multimodal SHM approaches.
Role and context: Lead author and Doctoral Researcher; research synthesis and technical communication.
Wireless Sensor Networks for Agricultural Monitoring
A connected-sensing research contribution focused on epidemic monitoring in agricultural environments.
Problem: Agricultural epidemic monitoring needs distributed sensing and communications capable of supporting timely field awareness.
Solution: A wireless-sensor-network research architecture connecting field sensing, communications and monitoring.
Technical contribution: Contributed technical and research supervision to the connected-monitoring study and its conference dissemination.
- Wireless-sensor-network architecture
- Field-monitoring requirements
- Connected data acquisition
- Research supervision and publication development
- Conference paper: Accepted research output reported for 2026.
- Accepted research output: The work advanced from supervised engineering development to conference publication.
Role and context: Research coordinator, co-author and technical supervisor within a multidisciplinary team.
Cathodic Protection Sensor Design
Sensor-design work for cathodic-protection monitoring through instrumentation, electromagnetism and embedded/mechatronic integration.
Problem: Cathodic-protection monitoring requires dependable sensing and instrumentation to assess protected structures without excessive deployment cost.
Solution: A sensor-design project connecting electromagnetic principles, instrumentation, embedded integration and mechatronics for cathodic-protection monitoring.
Technical contribution: Contributed to the sensing concept, instrumentation framing and system-level integration between measurement hardware, embedded electronics and engineering use case.
- Sensor concept and measurement-chain definition
- Electromagnetic and instrumentation reasoning
- Embedded and mechatronic integration planning
- Prototype-oriented system validation
- Cathodic-protection sensing concept: The work is represented as a sensor-design and instrumentation project record.
- 90% - reported cost reduction: The project was positioned to reduce the cost of comparable cathodic-protection sensing solutions.
Role and context: Sensor-design and mechatronics project; technical contribution across sensing, instrumentation and embedded-system integration at UIDE.
03 Scientific Computing and Computational Engineering
Scientific computing, computational engineering, FEM/FEA, RVE, resistor networks, DEM wear modelling, multiphysics, multiscale modelling, Python, MATLAB, Julia, CST, HFSS, COMSOL, ANSYS, Abaqus, SolidWorks, AI/ML/DL, computer vision, NLP, XR, scientific code and digital systems.
Computational Multiphysics and Experimental Validation
A cross-study modelling workflow linking electromagnetic, diffusion, mechanical and electrical-network physics with experiments.
Problem: No single model explains how nanoscale morphology, transport, mechanics and electromagnetic response combine in a sensing material.
Solution: A computational stack that moves between RVE, resistor-network, diffusion, mechanical and electromagnetic models and closes the loop with experiments.
Technical contribution: Developed, coupled and evaluated numerical workflows across physical scales, then used experimental evidence to test their explanatory power.
- RVE and multiscale micromechanics
- Resistor-network and percolation models
- FEM/FEA for mechanical, diffusion and electromagnetic physics
- Python and MATLAB scientific processing
- Cross-physics model stack: Mechanical, electrical, diffusion and electromagnetic models were applied across the research programme.
- Validation loop: DMA, nanoindentation, conductivity and VNA measurements anchored the computational interpretation.
- Physics-to-instrument reasoning: Connected material mechanisms with measurable RF signatures and sensing-system decisions.
Role and context: Doctoral Researcher; computational model development, scientific software and experimental interpretation.
CNT Conductivity, Percolation and Network Models
Resistor-network and finite-element models predicted electrical percolation and conductivity against measured nanocomposite data.
Problem: Conductive nanocomposite design depends on predicting when random CNT networks establish electron transport and how tunnelling distance affects conductivity.
Solution: Parallel three-dimensional resistor-network and finite-element models validated against electrical measurements.
Technical contribution: Developed numerical models and software, performed formal analysis and compared predicted conductivity with experiments.
- MATLAB resistor-network modelling
- DIGIMAT finite-element analysis
- Tunnelling-distance and percolation-probability analysis
- Electrical measurement validation
- Two numerical methods: Resistor-network and FEM approaches independently evaluated electrical transport.
- Conductivity measurements: Measured nanocomposite behaviour provided the validation reference.
- Materials Today: Proceedings 2022: Peer-reviewed experimental and numerical investigation.
- around 2 wt% - reported percolation threshold: Both modelling approaches captured the experimentally observed conductivity transition.
Role and context: Lead author and Doctoral Researcher; software, investigation, modelling and formal analysis.
Backhoe Teeth Wear Prediction with DEM
Discrete-element simulation applied to the industrial problem of predicting wear in earthmoving components.
Problem: Earthmoving components experience wear that affects maintenance, replacement planning and operating cost.
Solution: A discrete-element simulation approach for predicting backhoe-teeth wear under representative interaction conditions.
Technical contribution: Contributed to the modelling research and publication connecting computational mechanics with industrial wear assessment.
- Discrete-element modelling
- Contact and material-interaction simulation
- Wear-oriented engineering analysis
- Research validation and publication
- Engineering research paper: Accepted for publication in 2025.
- Industrial predictive method: The work established a simulation route for component-wear assessment.
Role and context: Research contributor and co-author within a collaborative engineering study.
Autonomous Mobile-Robot Logistics
Deep motion-planning research for autonomous mobile robots developed through engineering supervision and conference dissemination.
Problem: Autonomous logistics platforms require motion-planning methods that connect perception and computation with safe mobile-system behaviour.
Solution: A deep motion-planning research workflow developed around autonomous mobile-robot logistics.
Technical contribution: Provided technical supervision, project-development structure and co-authorship support for the engineering research.
- Autonomous mobile-robot architecture
- Deep motion-planning methods
- Simulation and prototype-oriented development
- Research and conference preparation
- Conference research: Conference paper accepted for publication in 2025.
- Accepted research output: The supervised project progressed to formal engineering dissemination.
Role and context: Technical supervisor and contributing co-author; student implementation remains separately attributed.
Applied AI, Machine Learning and Deep Learning for Mechatronics
Project-based AI and digital-systems education connecting learning algorithms, scientific code, embedded hardware and real mechatronics scenarios.
Problem: Mechatronics students and engineering teams need to move beyond isolated algorithms and connect data, learning models, software and physical systems in realistic applications.
Solution: A project-based artificial-intelligence and digital-systems practice spanning supervised and unsupervised learning, deep learning, NLP, scientific programming, embedded implementation and full-stack system integration.
Technical contribution: Designed and taught applied AI workflows, guided multidisciplinary implementation in Python and MATLAB, and connected model development with embedded, robotic and digital engineering scenarios.
- Supervised classification and regression workflows
- Unsupervised clustering and representation methods
- Neural networks, deep learning and NLP foundations
- Python and MATLAB model development and evaluation
- Embedded inference and sensor-data integration
- Full-stack intelligent-system and real-case implementation
- Applied teaching and project workflows: AI and Digital Systems methods were implemented through multidisciplinary mechatronics education and supervised engineering projects.
- Software-to-physical-system integration: Learning workflows were connected to sensors, embedded platforms, robotics, simulations and application interfaces.
- AI integrated into mechatronics practice: Students developed complete workflows from engineering data and model selection through validation and system-level implementation.
Role and context: Research Coordinator and Lecturer of Mechatronics Engineering; curriculum, technical teaching and multidisciplinary project supervision at UIDE.
Deep Learning Cycling Posture and Sports Computer Vision
AI, deep learning and computer-vision work for posture and movement analysis in cycling and sports scenarios.
Problem: Sports posture and movement assessment can be costly or difficult to scale when it depends on specialized equipment or manual observation.
Solution: A computer-vision and deep-learning workflow for analysing cycling posture and movement patterns from visual data.
Technical contribution: Contributed the scientific-computing framing, AI/DL workflow direction and applied engineering supervision connecting model development with a real sports-analysis scenario.
- Computer-vision pipeline definition
- Deep-learning model workflow for posture or movement analysis
- Python-based data processing and model evaluation
- Applied validation against real-case sports scenarios
- AI posture-analysis workflow: The work is represented as an applied computer-vision and deep-learning project record.
- 90% - reported cost reduction: The project was positioned to reduce the cost of comparable posture-analysis solutions.
Role and context: Applied AI and mechatronics project; scientific-computing and technical-supervision contribution at UIDE.
NVIDIA Digital Twins, Simulation and Physical AI
Omniverse, Isaac Sim and Jetson integrated into engineering simulation, workshops, project supervision and academic-industry collaboration.
Problem: Engineering education and prototype development needed a shared simulation-to-embedded stack for robotics, digital twins and AI-enabled systems.
Solution: Deployment of NVIDIA Omniverse, Isaac Sim and Jetson across simulation, workshops, supervised projects and collaboration as the first official NVIDIA University Ambassador in Ecuador.
Technical contribution: Introduced the platforms, developed learning and project workflows, supervised technical applications and led knowledge transfer.
- Omniverse digital-twin workflows
- Isaac Sim robotics simulation
- Jetson embedded AI prototyping
- Workshops and project-based technology transfer
- Three-platform stack: Omniverse, Isaac Sim and Jetson were used across four academic and engineering delivery areas.
- 3 - NVIDIA platforms deployed: Simulation, technical workshops, project supervision and academic-industry collaboration.
Role and context: First official NVIDIA University Ambassador in Ecuador; technical educator, project supervisor and academic-industry liaison with the NVIDIA Academic Programme, USA.
Smart Realities: Spatial Computing and Connected Systems
Applied R&D across intelligent sensing, spatial computing, AR/XR, IoT and hardware-software integration.
Problem: Emerging-technology concepts often fail to connect interactive software, physical hardware, learning content and a practical delivery strategy.
Solution: An independent R&D initiative integrating sensors, embedded systems, data processing, spatial interfaces and web-based engineering applications.
Technical contribution: Led technical research, requirements, architecture, prototype development, testing, team coordination and delivery strategy.
- Spatial computing and augmented reality
- IoT and embedded-system integration
- Interactive and web-based engineering software
- Scrum, conventional and hybrid delivery
- Functional digital prototypes: Connected interactive software, educational content and hardware-software concepts.
- Cross-functional delivery: Engineers, programmers, designers, animators and writers worked through a coordinated process.
- 4 - cross-functional teams led: Projects moved from concept through development, testing and delivery.
- 50% - reported project-cost reduction: Architecture, budgeting and resource optimization reduced the AR publication delivery cost.
Role and context: Senior R&D Engineer and independent project lead; Smart Realities, 2020-Present.
NanoXR: Nanoscale Spatial Computing Initiative
An XR direction connecting nanotechnology, scientific visualization and interactive engineering communication.
Problem: Nanoscale structures and multiphysics relationships are difficult to communicate through flat diagrams alone.
Solution: NanoXR applies spatial-computing and AR/XR capability to interactive nanotechnology visualization and engineering communication.
Technical contribution: Defined the initiative by connecting nanomaterials expertise with spatial-computing, interactive-software and educational-development experience.
- XR/AR interaction design
- Scientific visualization
- Nanotechnology knowledge modelling
- Web and spatial-computing prototyping
- XR foundation: Builds on documented Smart Realities spatial-computing and AR publication development.
- Cross-disciplinary R&D direction: Connects nanotechnology, computational engineering and immersive technical communication.
Role and context: Founder and R&D lead; named initiative within the broader Smart Realities research direction.
AR-Enabled Educational Publication
A bilingual educational book connected print, augmented reality and cross-functional digital production.
Problem: Static educational publishing offers limited interaction for explaining spatial or technical ideas.
Solution: A bilingual publication augmented with interactive digital content and an end-to-end production workflow.
Technical contribution: Led concept definition, technical planning, AR integration, budgeting, cross-functional coordination, testing and delivery.
- Augmented-reality content integration
- Interactive educational design
- Cross-functional software and media production
- Budget and resource optimization
- Completed AR publication: The educational product was developed through testing and delivery.
- 50% - reported cost reduction: Technical planning, budgeting and resource optimization reduced delivery cost.
Role and context: R&D lead and project coordinator; Smart Realities.
04 Advanced Mechatronics Engineering
Mechatronics projects, mechanical systems, electronics, embedded deployment, robotics, sensor hardware, hardware design, full-stack software-hardware systems, prototyping, automation, instrumentation hardware and integrated system validation.
Oil-Tank Fire-System Architecture
A multidisciplinary safety-system design developed through mechanical-engineering requirements, modelling and system integration.
Problem: Oil-storage fire protection requires coordinated engineering across hazard definition, physical behaviour, mechanical layout and system response.
Solution: A complete engineering architecture developed at MSc level to connect requirements, physical modelling and integrated safety subsystems.
Technical contribution: Defined the system architecture and carried the engineering work across analysis, design and technical documentation.
- Requirements and hazard-oriented system architecture
- Mechanical and fluid-domain engineering analysis
- ANSYS CFD and SolidWorks design workflows
- Subsystem integration and technical documentation
- Engineering design study: Computational and architecture work supported the complete system concept.
- Integrated safety architecture: Produced a complete multidisciplinary system design as part of the MSc engineering programme.
Role and context: MSc Mechanical Engineering project; individual engineering and system-design contribution.
Sand-Walking Robotic Turtle Prototype
A conservative mechatronics concept/prototype for terrain mobility using bio-inspired turtle locomotion on sand.
Problem: Loose granular terrain creates mobility challenges for small robots because traction, body support and gait coordination change with the substrate.
Solution: A sand-walking robotic turtle concept/prototype using bio-inspired locomotion, mechanical linkage design, embedded control and terrain-oriented testing.
Technical contribution: Defined the mechatronics architecture, connected mechanical design with embedded control requirements and supervised the prototype direction as an advanced mechatronics project.
- Bio-inspired locomotion concept development
- Mechanical linkage and body-architecture design
- Embedded control and actuation planning
- Prototype-oriented terrain-mobility evaluation
- Sand-mobility prototype concept: The record is presented conservatively as a concept/prototype project without public performance metrics.
- Advanced mechatronics project record: The project expands the portfolio with bio-inspired robotics, embedded control and mechanical prototyping for granular-terrain mobility.
Role and context: Mechatronics engineering project; technical supervision and system-architecture contribution at UIDE.
Electromechanical Commissioning Across 23 Installations
Commissioning and field optimization of motors, inverters, controllers, sensors, actuators and embedded monitoring systems.
Problem: Elevator installations required reliable commissioning, fault isolation and configuration across interconnected mechanical, power, control and sensing subsystems.
Solution: A structured field-engineering workflow for commissioning, troubleshooting, manufacturer-specification configuration and maintenance optimization.
Technical contribution: Commissioned complete electromechanical systems, resolved on-site and remote faults, and developed performance and maintenance improvements.
- Motor, inverter and controller configuration
- Sensor, actuator and cabin-control commissioning
- Electrical and mechanical fault analysis
- Customer-facing technical service and maintenance procedures
- Field installations: Complete systems commissioned and supported in operational customer environments.
- 23 - installations commissioned: Integrated mechanical, electrical, control and embedded subsystems.
- 40% - reported performance improvement: Configuration and maintenance changes improved elevator-system performance.
Role and context: Lead Engineer; commissioning, troubleshooting and customer-facing field delivery.
05 Industrial Engineering & Field Delivery
Elevator commissioning, PetroEcuador project work, manufacturing systems, telecommunications implementation, technical service, customer-facing deployment, cost and performance improvement.
Remote Monitoring for Elevator Service Response
Embedded remote monitoring used to improve fault visibility and reduce emergency-response time.
Problem: Emergency elevator faults were difficult to diagnose quickly without remote visibility into system condition.
Solution: Doppler remote-monitoring integration combined with a more efficient troubleshooting and service workflow.
Technical contribution: Configured the monitoring capability and used remote diagnostics to improve technical response.
- Embedded monitoring integration
- Remote condition and fault observation
- Technical troubleshooting procedures
- Field-service coordination
- Operational monitoring: Remote monitoring was encoded and used within deployed elevator systems.
- up to 70% - reported emergency-response reduction: Improved troubleshooting and remote visibility accelerated service response.
Role and context: Lead Engineer; remote-monitoring integration and technical service improvement.
Engineering Project Delivery at PetroEcuador
PMI-aligned feasibility, engineering coordination and technical documentation improved project workflow and software cost.
Problem: Engineering initiatives required stronger definition, feasibility control, coordination and documentation across project phases.
Solution: A PMI-aligned delivery process connecting initiation, planning, pre-feasibility, feasibility and engineering documentation.
Technical contribution: Managed project definition, feasibility assessment, engineering coordination and technical documentation while identifying more efficient software solutions.
- PMI project lifecycle
- Pre-feasibility and feasibility assessment
- Conceptual and basic engineering coordination
- Software and resource optimization
- Operational project workflow: The structured process was applied to active engineering-project delivery.
- 30% - reported workflow improvement: Project coordination improved conceptual, basic and detail-engineering workflow.
- 20% - reported software-cost reduction: More efficient software choices reduced project expenditure.
Role and context: Project Manager; EP PetroEcuador, January-June 2020.
Mobile Robotic Manufacturing Transport System
A mobile platform integrating mechanical, electrical, control, sensing and embedded subsystems for manufacturing transport.
Problem: Manufacturing material movement created process inefficiency, waste and avoidable operational cost.
Solution: A purpose-built mobile robotic transport platform integrating the complete mechanical, electrical, sensing and control system.
Technical contribution: Designed and constructed the vehicle and integrated its mechanical, electrical, electronic and embedded-control subsystems.
- Mechanical and SolidWorks 3D design
- Electrical and electronic system integration
- Embedded control and sensing
- Manufacturing-process testing
- Integrated mobile platform: The complete robotic transport system was built for a manufacturing environment.
- Manufacturing application: The platform operated within the production-process context.
- approximately 10% - reported waste and cost improvement: The transport solution improved the associated manufacturing process.
Role and context: System Engineer; end-to-end mechatronic design and construction.
Telecommunications Network Implementation
Customer-facing telecommunications implementation connecting system requirements, configuration, testing and technical delivery.
Problem: Telecommunications systems require disciplined implementation, configuration and verification before they can support dependable users and operations.
Solution: A field-delivery approach connecting requirements, installation, configuration, testing, documentation and customer support.
Technical contribution: Applied telecommunications and systems-engineering expertise across implementation, troubleshooting and technical coordination.
- System-requirement definition
- Network and equipment configuration
- Connectivity and performance verification
- Technical documentation and customer support
- Field implementation practice: Telecommunications work was delivered in customer-facing engineering contexts.
- Operational technical delivery: Connected communications theory with installation, verification and service responsibilities.
Role and context: Engineering contributor and coordinator across telecommunications implementation activities.
06 Leadership, Education & Technology Transfer
Telecommunications and research coordination, hybrid project supervision, project management, professional certificates, curriculum work, workshops, mentoring, IEEE-related project development, invited lectures, conferences, awards and service.
Multidisciplinary Mechatronics Project Development
Technical direction and hybrid delivery across wireless sensing, simulation, AI, robotics, nanotechnology and embedded projects.
Problem: Multidisciplinary student engineering requires a repeatable path from requirements and models to working prototypes and defensible validation.
Solution: A hybrid project-development framework combining conventional engineering control, Agile practices, technical gates and ABET-aligned outcomes.
Technical contribution: Coordinated and technically supervised teams across four semesters, connecting scientific modelling with prototype development and dissemination.
- Traditional, Agile and hybrid project management
- Requirements, simulation and design milestones
- Prototype testing and physical validation
- Research writing and conference-oriented mentoring
- Four-semester programme: The framework operated across multiple cohorts and multidisciplinary project teams.
- 35 - multidisciplinary projects coordinated: Projects spanned wireless sensing, simulation, AI, digital twins, robotics, nanotechnology and embedded systems.
- 2 - projects advanced toward IEEE dissemination: Technical supervision supported conference-oriented research development.
Role and context: Research Coordinator and Lecturer; technical supervisor and programme coordinator, UIDE.
Telecommunications Programme and Laboratory Modernization
Curriculum, laboratory and industry-partnership development across wireless sensing, embedded systems, digital twins, mechatronics and AI.
Problem: Telecommunications education needed stronger alignment between modern RF systems, embedded technologies, computational engineering and industry outcomes.
Solution: A programme-modernization effort integrating curriculum, ABET-aligned outcomes, communications laboratories, student research and external collaboration.
Technical contribution: Directed the school, led curriculum modernization, strengthened partnerships and developed laboratory and project capability.
- Programme and curriculum architecture
- ABET-aligned learning outcomes
- Laboratory planning and capability development
- Industry partnerships and student-research mentoring
- Six technical areas: AI, wireless sensing, embedded systems, digital twins, mechatronics and robotics were integrated into programme development.
- approximately 70% - reported anechoic-panel cost reduction: Laboratory planning and external support improved electromagnetic experimentation capability.
Role and context: Telecommunications Coordinator and Program Director; UIDE, May 2025-July 2026.
Publications
A Free Space Microwave Characterization of CNT-Epoxy Based Nanocomposites Using Two Patch Antennas
Nanoarchitectonics, 58-74
A Contactless Characterization of CNT/Epoxy Nanocomposites Behavior under Acid Exposure
Composite Structures, 305, 116508
Effect of CNT Additives on the Electrical Properties of Derived Nanocomposites: Experimental and Numerical Investigation
Materials Today: Proceedings, 52, 199-205
The Effect of Agglomeration on the Electrical and Mechanical Properties of Polymer Matrix Nanocomposites Reinforced with Carbon Nanotubes
Polymers, 14(9), 1842
A Literature Review of Non-Contact Tools and Methods in Structural Health Monitoring
Engineering Technology Open Access Journal, 4(1), 135-144
Experimental and Modelling of Temperature-Dependent Mechanical Properties of CNT/Polymer Nanocomposites
Materials Today: Proceedings, 57, 607-614
Analysis of Acid Diffusion Effects on Physical Properties of Polymer Composites: A Combined Study of Mechanical and Electrical Characterization
Applied Mechanics, 4(3), 974-989
Predicting Backhoe Teeth Wear Using DEM Simulation
Progress in Engineering Science
Deep Motion Planning for Autonomous Mobile Robot Logistics
Journal of Advanced Research in Applied Sciences and Engineering Technology
Wireless Sensor Networks for Epidemic Monitoring in Agriculture
Conference paper
Career
Telecommunications Coordinator
UIDE, Ecuador
Directed the School of Telecommunications Engineering, curriculum modernization, ABET-aligned outcomes, industry partnerships, communications laboratories and student research.
Research Coordinator and Lecturer of Mechatronics Engineering
UIDE, Ecuador
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.
NVIDIA University Ambassador
NVIDIA Academic Programme, USA / Ecuador
First official NVIDIA University Ambassador in Ecuador; deployed Omniverse, Isaac Sim and Jetson through simulation, workshops, engineering-project supervision and academic-industry collaboration.
Vice Chair, AAAI Official Ecuador Chapter
AAAI Official Ecuador Chapter
Volunteer leadership supporting artificial-intelligence community development, technical exchange and professional service in Ecuador.
Engineering and Environment Faculty Community Representative
Northumbria Students Union, United Kingdom
Volunteering role representing faculty community interests and contributing to academic community engagement during the PhD period.
Senior R&D Engineer / Independent R&D Lead
Smart Realities, Ecuador
Applied R&D in intelligent sensing, spatial computing, augmented reality, IoT, educational technology and hardware-software integration.
Project Manager
EP PetroEcuador, Ecuador
PMI-aligned project definition, feasibility, engineering coordination and technical documentation.
Lead Engineer
VYM Elevators, Ecuador
Commissioning, troubleshooting and embedded monitoring across 23 electromechanical field installations.
System Engineer
FV Franz Viegener, Ecuador
Designed and built a mobile robotic transport platform integrating mechanical, electrical, control, sensing and embedded subsystems.
Education
PhD, Mechanical and Electronics Engineering
Northumbria University, United Kingdom
Electromagnetic sensing, wireless structural-health monitoring, CNT/epoxy nanocomposites and computational multiphysics.
MSc, Mechanical Engineering - First-Class Distinction
Northumbria University, United Kingdom
Advanced mechanical engineering, systems architecture and computational engineering.
Professional Certificate in Tiny Machine Learning
HarvardX, Harvard University, USA - Online
Machine learning for resource-constrained and embedded intelligent systems.
Professional Certificate in Innovation and Business Operations
MarylandX, University of Maryland, USA - Online
Innovation strategy, business operations and technology-led organizational development.
BEng, Mechatronics Engineering
Universidad Tecnologica Equinoccial, Ecuador
Mechatronics, robotics, automation, electronics, mechanics and control systems.
International Talks and Conferences
Mechatronics Lecturer: Artificial Intelligence, Machine Learning and Deep Learning Applied to Mechatronics and Robotics
Teaching record
MEMS Design
Faculty Week presentation
Quantum Science and Nanotechnology
UNESCO programme
Chipless RFID Sensors
Faculty Week presentation
Digital Twins and Artificial Intelligence for Construction
Invited presentation
Large Language Models Applied to Materials Simulations
Invited presentation
VNA-Based Electromagnetic Characterization and Advanced-Materials Prototyping
Conference presentation
Computational Modelling of Advanced Materials
Conference presentation
Computational Simulation of Nanomaterials
Conference presentation
Materials and Engineering Simulation
Conference presentation
Recognition 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
Professional Links
mailto:mstv.engineering@gmail.com
https://www.linkedin.com/in/sebastian-tamayo
github
https://github.com/SDynamicsResearchLab
blog
https://www.bambootech.space/
sensor Platform
https://sensor.bambootech.space/
smart Realities
https://smartrealities.com/
space Org
https://www.spaceorg.net/