RESEARCHER PROFILE

Nejad Alagha

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N

University of Dubai

Autism Spectrum Disorder ResearchGaze Tracking and Assistive TechnologyMachine Fault Diagnosis TechniquesFault Detection and Control SystemsIoT and Edge/Fog Computing

Nejad Alagha works in Autism Spectrum Disorder Research, Gaze Tracking and Assistive Technology, Machine Fault Diagnosis Techniques, Fault Detection and Control Systems, IoT and Edge/Fog Computing. Recorded institutional associations include University of Dubai.

17Publications
72Citations
3H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives

    2025 · 42 citations

  2. Efficient 5G Edge Caching Over Satellite

    2018 · 19 citations

  3. Field trials of the VHF data exchange system (VDES) satellite downlink component

    2018 · 3 citations

  4. Ceemdan-Based Multiscale Cnn for Wind Turbine Gearbox Fault Detection

    2025 · 3 citations

  5. Pursuit learning algorithm to minimize delay and energy consumption in vehicular-edge computing networks

    2024 · 2 citations

  6. Hybrid Deep Feature Extraction and ML for Construction and Demolition Debris Classification

    2025 · 1 citations

  7. LSTM-Based Air Quality Forecasting at Construction Sites for Proactive Worker Risk Mitigation

    2025 · 1 citations

  8. Hybrid ensemble learning for Autism Spectrum Disorder screening using eye-tracking scanpath

    2026 · 1 citations

  9. Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges

    2026 · 1 citations

  10. Machine Learning Enhancing a Compact Wearable Device for Stepping Management

    2024 · 0 citations

  11. Fusion of Handcrafted and LSTM-Derived Features for Robust ASD Classification from Eye-Tracking Data

    2025 · 0 citations

  12. Empowering Convenient Home-based Progressive Autism Diagnosis and Management System through Agentic AI-powered Assistive Technology

    2025 · 0 citations

  13. AIoT-Based Early Autism Screening Using Agentic AI and Workflow Automation

    2025 · 0 citations

  14. A Lightweight Deep-Feature and SVM Framework for Autism Screening Using Eye-Tracking Scanpath Images

    2026 · 0 citations

  15. Hybrid CEEMDAN-MSCNN Approach for Vibration-Based Fault Diagnosis of Wind Turbine Gearboxes

    2026 · 0 citations

  16. Analyzing Facial Expression Dynamics from Naturalistic Video Stimuli for Autism-Oriented Behavioral Assessment

    2026 · 0 citations

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