B.Eng Aerospace Engineering · Air Force Institute of Technology Kaduna - 500L Final Year · Expected June 2026
4 Papers Under Review
CGPA 4.10 / 5.00
CS-23 / CS-25 Compliant
Cranfield Collaboration

Aerospace Engineer
& Digital Twin Researcher

Research & Projects About Me
35,500 Synthetic Samples · 4 Journals · 3 Kaggle Datasets
Journal Submissions
0 Papers
CJA · IEEE TAES · RESS · AIAA - All Under Review
Total Physics Samples
0k
B787 (26k · 12 classes) + Dornier 228 (9.5k · 11 classes)
CNN-BiLSTM Fault Accuracy
0%
AeroTwin B787 · Zero Fault Leakage · ±244h RUL MAE
On-Device LLM Latency
<0s
Ollama 3.2 · ATA 32 Maintenance Directives · No Cloud
CJA · AeroTwin B787 Landing Gear Prognostics ◆ IEEE TAES · PHI-CHAIN Avionics Blockchain Security ◆ RESS/Elsevier · B787 Ignition System Digital Twin ◆ AIAA · Dornier 228 Certification-Compliant LG Twin ◆ B787 Dataset 26,000 Samples · 12 Fault Classes ◆ Dornier 228 9,500 Samples · 11 Fault Classes ◆ Cranfield Univ. UK · Active Collaboration ◆ CGPA 4.10 / 5.00 · 500L Final Year · Air Force Institute of Technology Kaduna ◆ SHAP XAI · Explainable Fault Attribution Maps ◆ PHI-CHAIN · Ed25519 · ADS-B · ACARS · CPDLC ◆ CJA · AeroTwin B787 Landing Gear Prognostics ◆ IEEE TAES · PHI-CHAIN Avionics Blockchain Security ◆ RESS/Elsevier · B787 Ignition System Digital Twin ◆ AIAA · Dornier 228 Certification-Compliant LG Twin ◆ B787 Dataset 26,000 Samples · 12 Fault Classes ◆ Dornier 228 9,500 Samples · 11 Fault Classes ◆ Cranfield Univ. UK · Active Collaboration ◆ CGPA 4.10 / 5.00 · 500L Final Year · Air Force Institute of Technology Kaduna ◆ SHAP XAI · Explainable Fault Attribution Maps ◆ PHI-CHAIN · Ed25519 · ADS-B · ACARS · CPDLC ◆
Published Research · 2025 – 2026
Peer-Reviewed Research
Journal Submissions
Chinese Journal of Aeronautics (CJA)
Under Review
AeroTwin: B787 Landing Gear Prognostics via Three-Layer Edge AI Architecture
Lead Researcher · Cranfield Collaboration · Submitted 2026
CNN-BiLSTM SHAP XAI 26k Samples 12 Fault Classes ATA 32
IEEE TAES · Aerospace & Electronic Systems
Under Review
PHI-CHAIN: Blockchain-Secured Avionics Data Integrity Framework
Lead Researcher · Submitted 2026
Hyperledger Fabric Ed25519 ADS-B / ACARS DO-326A
RESS · Reliability Eng. & System Safety (Elsevier)
Under Review
Gas Turbine Ignition System Digital Twin for B787 Health Monitoring
Lead Researcher · Submitted 2026
Transformer-LSTM 5-State RUL CS-25 Validated
AIAA · American Inst. of Aeronautics & Astronautics
Under Review
Certification-Compliant Digital Twin for Dornier 228 Landing Gear Systems
Lead Researcher · Submitted 2026
CS-23.473/479 EASA AMC 9.5k Samples 11 Fault Classes
Technical Domains
Core Capabilities
Technical Domains
01 / 04
Research

Digital Twin Architecture

Physics-informed replicas of aircraft systems - fusing MATLAB Simscape multidomain physics with deep learning to model oleo-pneumatic dynamics, classify faults across 11–12 severity states, predict RUL, and generate ATA-compliant maintenance directives via embedded on-device LLM. No cloud required.

02 / 04
Security

Avionics Cybersecurity

Hyperledger Fabric blockchain architecture securing ADS-B, ACARS, ADS-C, CPDLC and operational telemetry. Ed25519 cryptographic signing at ingestion layer with semantic attack detection - validated against ICAO Doc 10037 and RTCA DO-326A.

03 / 04
Operations

Telemetry & MRO Intelligence

End-to-end pipelines: FlightGear UDP → Telegraf → InfluxDB → Grafana. Field experience at NCAA (airworthiness regulatory) and Executive Airlift (line maintenance, King Air 350). AI-driven MRO inventory forecasting - Cranfield University collaboration.

04 / 04
Regulatory

Certification & Compliance

Systems traceable to CS-23.473/479, CS-25, and EASA AMC guidelines. Fault signatures mapped to ATA chapters, maintenance outputs formatted for direct MRO workflow use - not just academic prototypes. Nigeria Civil Aviation Regulations field experience.