Expertises

  • Computer Science

    • Approximate Computing
    • Error Resilience
    • Energy Efficient
    • Approximation (Algorithm)
    • Energy Efficiency
    • Programming Language
    • Case Study
    • Operating System

Organisaties

Publicaties

2026

Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices (2026)[Working paper › Preprint]. ArXiv.org. Bulten, F., Rasheed, Y., John, A., Stoico, V. & Gillani, G. A.https://doi.org/10.48550/arXiv.2607.14747Toward Energy-Efficient Approximate Computing for Mixture-of-Experts Based CNN Inference (2026)In CF '26: Proceedings of the 23rd ACM International Conference on Computing Frontiers (pp. 343-344). ACM Publishing. van Wee, J., Rasheed, Y. & Gillani, G.https://doi.org/10.1145/3801487.3805610AMPEREISH: Approximate Multipliers for Power Efficiency in FPGA Designs Using Internal-Self-Healing (2026)IEEE Access, 14, 60252-60267. Article 11482441. Rasheed, Y., Van Der Wijk, R. H., Van Loo, R., Jauregui Morris, R. A., Gillani, G. A., Kokkeler, A. B. J. & Ottavi, M.https://doi.org/10.1109/ACCESS.2026.3684720

Onderzoeksprofielen

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