Abiodun Ayodeji | Senior AI Engineer & Innovator

About

Bridging Deep Research
with Real-World Impact

I am a PhD-trained AI Engineer and Team Leader with over 12 years of international experience spanning Africa, Asia, and Europe. I specialise in designing and deploying end-to-end AI/ML solutions that solve hard, domain-specific problems across energy, manufacturing, construction, aerospace, and nuclear sectors.

Currently leading data analytics and applied AI at the Brunel Innovation Centre, The Welding Institute (Cambridge), I drive multi-national R&D programmes funded by Innovate UK, Horizon EU, BEIS, and IETF. I operate across the full technology readiness spectrum — from foundational research to production deployment — and have secured over £7M in competitive funding as technical lead.

My work spans generative AI, computer vision, predictive maintenance, industrial cybersecurity, digital twins, and multi-objective process optimisation. I serve as Technical Advisor to Meta, Microsoft, and multiple UK & EU SMEs, and am a frequent keynote speaker on AI for manufacturing and energy.

🏆 Data Scientist of the Year 2026 — Finalist · Computing, UK Certified Nuclear Security Professional EU PM² Project Management CISA – ICS Security (ISC)² Cybersecurity Certified

GitHub LinkedIn ORCID Scholar

Current Affiliation

Brunel Innovation Centre

The Welding Institute · Cambridge, UK

Advisor To

Meta · Microsoft · UK & EU SMEs

Wales Data Nation Accelerator

Expertise

Full-Stack AI Engineering

From research to production — across the entire AI/ML lifecycle

AI Systems & Research

Deep learning, computer vision, generative AI, LLMs, predictive analytics, attention mechanisms, and multi-fidelity modelling from first principles to deployment.

PyTorchTensorFlowLangChainGenAILLMsComputer Vision

MLOps & Scalable Deployment

End-to-end ML pipelines, distributed training, edge AI, and cloud-native deployment at scale. Data quality automation, CI/CD for ML, and workflow orchestration.

MLflowDockerKubernetesAWSAzureTerraform

Industrial Cybersecurity & ICS

AI-driven anomaly detection and intrusion detection systems for industrial control systems, SCADA, and critical infrastructure. Cyber-physical security design and testbed development.

ICS SecuritySCADAAnomaly DetectionCISADigital Control

Predictive Maintenance & PHM

Deep learning models for fault diagnosis, remaining useful life prediction, prognosis, and condition monitoring across nuclear, aerospace, manufacturing, and energy systems.

RUL PredictionFault DiagnosisTime SeriesPHMSensors

Process Optimisation & Digital Twins

Multi-objective optimisation using evolutionary algorithms and Bayesian methods. Digital twin development for complex industrial systems, thermal-hydraulic rigs, and additive manufacturing.

BoTorchGurobiOR-ToolsBayesian OptDigital Twins

Technical Leadership & Strategy

Leading cross-functional AI teams across continents. £7M+ in competitive funding secured. Project management (EU PM²), stakeholder engagement, IP management, and business development.

Team LeadershipFunding StrategyEU PM²IP ManagementBD

Full Technology Stack

Core AI/ML

PythonPyTorchTensorFlowScikit-learnHuggingFace

GenAI & Agents

LangChainGoogle ADKMS Agent FrameworkN8NLLMs

MLOps & Cloud

MLflowDockerKubernetesAWSAzureTerraformGitHub Actions

Data & 3D

DatabricksMS FabricEdge ImpulseOpen3DUnreal EngineRevitBlender

Optimisation

BoTorchGurobiOR-ToolsAx

Career

Professional Journey

Technical leader driving collaborative R&D for Innovate UK, Horizon EU, BEIS, and IETF. Built and leads a high-performing AI team delivering ML-powered optimisation tools across manufacturing, supply chains, and energy systems.

Lead AI integration across 5+ multi-national R&D projects delivering measurable production outcomes
Developed MLOps workflow and data quality pipelines improving model success rates by 30%
Built bespoke computer vision and LLM pipelines for 3D object detection and segmentation
Improved VR safety training development time by 60% — project won 2026 Design and Build Award
Secured £7M+ in competitive funding as principal technical lead
Technical Advisor to Meta, Microsoft, and UK & EU SMEs

GenAIComputer VisionMLOpsInnovate UKHorizon EU

Led the nuclear plant control system digitalisation and virtual engineering programme. Designed and implemented AI-driven controls and cybersecurity testbeds for next-generation nuclear systems.

Designed resilient ML-based controls for nuclear-renewable hybrid systems (IAEA CRPI32012)
Built cybersecurity testbed with anomaly detection ML models for PWR digital control systems
Developed AI-driven optimisation framework for thermal-hydraulic test rig operations

Nuclear AICybersecurityControl SystemsIAEA

Developed AI-enhanced controllers for blast furnaces, gas turbines, and renewable energy systems. Led a team of 10 researchers on open-source AI model development and predictive maintenance.

Designed predictive maintenance algorithms for aircraft engine remaining useful life (RUL)
Created 12+ ML models for optimisation of gas turbines, blast furnaces & renewables
Published 8 peer-reviewed papers; delivered 12+ conference presentations
Led team of 10 researchers on data analytics and open-source AI development

Predictive MaintenanceDeep LearningOptimisationResearch Leadership

PhD thesis: "AI-based Fault Forecasting and Intrusion Monitoring System for Nuclear Plants." Graduated with distinction — Best Graduating Student and Exemplary Student awards. Funded by the Chinese Government Scholarship.

Developed pioneering ensemble ML methods for nuclear plant fault diagnosis and intrusion detection
Visiting Scholar at ICTP (Italy), ROSATOM Technical Academy (Russia), Middlebury Institute (USA)
Published 15+ papers during PhD; received 2017 Elsevier Outstanding Reviewer Award

PhD ResearchNuclear SafetyEnsemble MLIntrusion Detection

Supported the development and implementation of Nigeria's first nuclear power programme. Contributed to national strategic planning, safety requirements, digital control specifications, and safety & licensing integration.

Co-developed 4+ technical requirement documents for Pressurised Water Reactor
Developed 2+ cybersecurity frameworks for Control & Instrumentation components
Co-developed system, performance, and functional requirements

Nuclear PolicyControl SystemsStrategic PlanningEarly Career

Projects

Selected Work

Production-grade AI systems delivered across industries

Featured

THERMINATOR

AI-based optimisation framework for electrocaloric (EC) and thermoacoustic (TA) modules, enabling robust system-level performance for next-generation sustainable waste heat recovery and energy harvesting technology.

Bayesian OptimisationThermal ModellingSurrogate ModelingAI Agent

SafeXtend

End-to-end GenAI & computer vision pipeline for 3D scan processing, object detection, and VR safety training content creation. Deployed for construction and manufacturing safety programmes. Winner of the 2026 Design and Build Award.

Computer Vision3D ScanningVRGenAIOpen3DLLM

ProductivAI

ML optimisation tool that reduces PCB manufacturing defects, improving yield and quality in high-precision electronics manufacturing. Delivered directly to production environments.

Manufacturing AIQuality ControlProcess OptimisationML

EnerAM

ML-powered tool for energy consumption and CO₂ reduction in metal additive manufacturing. Helps manufacturers optimise process parameters to reduce carbon footprint and energy costs.

Green AIAdditive ManufacturingEnergy OptimisationCarbon Reduction

SMARTDOSE

ML-powered medication dosing tool integrated into a smart 3D-printed pill dispenser. Combines AI personalisation with IoT hardware for precision health monitoring and dosing compliance. Deployed on an edge device.

HealthTech AIIoTEdge AI3D PrintingPersonalised Medicine

ReMOV

Web-based AI platform for zero-defect support structure optimisation in 3D printing. Reduces material waste and post-processing time, enabling sustainable additive manufacturing at scale.

3D PrintingOptimisationWeb PlatformZero-Defect Mfg

SCORE – Supply Chain AI

Hybrid ML + expert system for dynamic automotive inventory management. Combines deep learning forecasting with domain knowledge for robust, explainable supply chain decisions. Patent filed.

Supply ChainAutomotiveHybrid MLPatentExpert Systems

Aircraft Engine RUL Prediction

Attention-based multi-head deep learning model for turbofan engine remaining useful life prediction. One of the most-cited open-source implementations in the PHM community (59 GitHub stars).

Attention MechanismAerospaceRULOpen SourcePyTorch

Research

Selected Publications

60+ Peer-Reviewed Papers

1400+ Citations

18+ Invited Talks

2025

Language-guided zero-shot segmentation with multi-angle reprojection for point cloud analysis

Measurement: Digitalization, Vol. 4, December 2025, 100016 · Open Access

Computer Vision3D SegmentationPoint CloudZero-Shot

2024

Wavy-attention network for real-time cyber-attack detection in a small modular pressurized water reactor digital control system

Nuclear Engineering and Design, 424, pp. 1–14

CybersecurityNuclearDeep LearningSMR

2023

Cyber security in the nuclear industry: A closer look at digital control systems, networks and human factors

Progress in Nuclear Energy, 161, pp. 1–13

CybersecurityICSHuman Factors

2022

Deep learning for safety assessment of nuclear power reactors: Reliability, explainability, and research opportunities

Progress in Nuclear Energy

Deep LearningNuclear SafetyXAI

2021

Causal augmented ConvNet: A temporal memory dilated convolution model for long-sequence time series prediction

ISA Transactions

Time SeriesCausal AIConvNet

2021

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

arXiv (widely cited in PHM community)

AttentionAerospacePHMRUL

2020

A new perspective towards the development of robust data-driven intrusion detection for industrial control systems

Nuclear Engineering and Technology

IDSICSCybersecurityNuclear

2018

Knowledge base operator support system for nuclear power plant fault diagnosis

Progress in Nuclear Energy

Expert SystemsDecision SupportNuclear

View Full Publication List →

Abiodun
Ayodeji

Bridging Deep Research
with Real-World Impact

Full-Stack AI Engineering

AI Systems & Research

MLOps & Scalable Deployment

Industrial Cybersecurity & ICS

Predictive Maintenance & PHM

Process Optimisation & Digital Twins

Technical Leadership & Strategy

Professional Journey

Senior Engineer & Team Leader, Applied AI & Digital Technologies

AI Research Engineer – Nuclear Digital Control

AI Engineer – Industrial Systems & Automation

PhD Researcher – AI for Nuclear Safety & Security

System Engineer – Nuclear Power Programme

Selected Work

THERMINATOR

SafeXtend

ProductivAI

EnerAM

SMARTDOSE

ReMOV

SCORE – Supply Chain AI

Aircraft Engine RUL Prediction

Selected Publications

Language-guided zero-shot segmentation with multi-angle reprojection for point cloud analysis

Wavy-attention network for real-time cyber-attack detection in a small modular pressurized water reactor digital control system

Cyber security in the nuclear industry: A closer look at digital control systems, networks and human factors

Deep learning for safety assessment of nuclear power reactors: Reliability, explainability, and research opportunities

Causal augmented ConvNet: A temporal memory dilated convolution model for long-sequence time series prediction

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

A new perspective towards the development of robust data-driven intrusion detection for industrial control systems

Knowledge base operator support system for nuclear power plant fault diagnosis

Let's Build Something
Intelligent

AbiodunAyodeji

Bridging Deep Researchwith Real-World Impact

Full-Stack AI Engineering

AI Systems & Research

MLOps & Scalable Deployment

Industrial Cybersecurity & ICS

Predictive Maintenance & PHM

Process Optimisation & Digital Twins

Technical Leadership & Strategy

Professional Journey

Senior Engineer & Team Leader, Applied AI & Digital Technologies

AI Research Engineer – Nuclear Digital Control

AI Engineer – Industrial Systems & Automation

PhD Researcher – AI for Nuclear Safety & Security

System Engineer – Nuclear Power Programme

Selected Work

THERMINATOR

SafeXtend

ProductivAI

EnerAM

SMARTDOSE

ReMOV

SCORE – Supply Chain AI

Aircraft Engine RUL Prediction

Selected Publications

Language-guided zero-shot segmentation with multi-angle reprojection for point cloud analysis

Wavy-attention network for real-time cyber-attack detection in a small modular pressurized water reactor digital control system

Cyber security in the nuclear industry: A closer look at digital control systems, networks and human factors

Deep learning for safety assessment of nuclear power reactors: Reliability, explainability, and research opportunities

Causal augmented ConvNet: A temporal memory dilated convolution model for long-sequence time series prediction

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

A new perspective towards the development of robust data-driven intrusion detection for industrial control systems

Knowledge base operator support system for nuclear power plant fault diagnosis

Let's Build SomethingIntelligent

Abiodun
Ayodeji

Bridging Deep Research
with Real-World Impact

Let's Build Something
Intelligent