RESEARCHER PROFILE

Ahmed Aldahdooh

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University College of Applied Science

Image and Video Quality AssessmentVideo Coding and Compression TechnologiesAdversarial Robustness in Machine LearningDigital Media Forensic DetectionAdvanced Data Compression Techniques

Ahmed Aldahdooh works in Image and Video Quality Assessment, Video Coding and Compression Technologies, Adversarial Robustness in Machine Learning, Digital Media Forensic Detection, Advanced Data Compression Techniques. Recorded institutional associations include University College of Applied Science.

27Publications
377Citations
9H-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. Adversarial example detection for DNN models: a review and experimental comparison

    2022 · 184 citations

  2. Revisiting model’s uncertainty and confidences for adversarial example detection

    2022 · 35 citations

  3. Reveal of Vision Transformers Robustness against Adversarial Attacks

    2021 · 29 citations

  4. Framework for reproducible objective video quality research with case study on PSNR implementations

    2017 · 21 citations

  5. Improved Performance Measures for Video Quality Assessment Algorithms Using Training and Validation Sets

    2018 · 14 citations

  6. Effect of content features on short-term video quality in the visual periphery

    2016 · 13 citations

  7. Computing Quality-of-Experience Ranges for Video Quality Estimation

    2019 · 12 citations

  8. Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images

    2023 · 9 citations

  9. Comparing simple video quality measures for loss-impaired video sequences on a large-scale database

    2016 · 9 citations

  10. Adversarial Example Detection for DNN Models: A Review

    2021 · 6 citations

  11. On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics

    2021 · 6 citations

  12. Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures

    2019 · 6 citations

  13. Reproducible research framework for objective video quality measures using a large-scale database approach

    2017 · 6 citations

  14. Content-aware adaptive multiple description coding scheme

    2016 · 6 citations

  15. Spatio-temporal error concealment technique for high order multiple description coding schemes including subjective assessment

    2016 · 5 citations

  16. Federated Adversarial Training with Transformers

    2023 · 3 citations

  17. Inpainting-based error concealment for low-delay video communication

    2017 · 3 citations

  18. Comparing temporal behavior of fast objective video quality measures on a large-scale database

    2016 · 3 citations

  19. Adversarial threats to vision transformers: evaluating robustness beyond CNNs

    2026 · 2 citations

  20. Proof-of-concept: role of generic content characteristics in optimizing video encoders

    2017 · 2 citations

  21. The impact of complexity in the rate-distortion optimization: A visualization tool

    2015 · 2 citations

  22. Selective and Features based Adversarial Example Detection.

    2021 · 1 citations

  23. Image processing reveals the robustness of vision transformers against adversarial attacks

    2025 · 0 citations

  24. Content-Aware Video Transmission in HEVC Context: Optimization of compression, of error resilience and concealment, and of visual quality

    2017 · 0 citations

  25. Content-aware video transmission in HEVC context : optimization of compression, of error resilience and concealment, and of visual quality

    2017 · 0 citations

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