Zilverling

dr.ir. S.G.A. Gillani (Ghayoor)

EEMCS-CS-CAES
Zilverling 5078
s.ghayoor.gillani@utwente.nl
+31534894635
Visitekaartje

Expertises

  • Computer Science

    • Approximate Computing
    • Computing
    • Error Resilience
    • Algorithms
    • Application
    • Power Efficiency
    • Case Study
    • Survey

Organisaties

Publicaties

2026

AMPEREISH: Approximate Multipliers for Power Efficiency in FPGA Designs Using Internal-Self-Healing (2026)IEEE Access, 14, 60252-60267. Article 11482441 (E-pub ahead of print/First online). 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

2025

Toward Approximate Computing for Deep Learning in Embedded Systems: A Systematic Literature Review (2025)IEEE Access, 13, 210863-210891. Rasheed, Y., Anwar, M. W., Gillani, G. A. & Ottavi, M.https://doi.org/10.1109/ACCESS.2025.3641821Leveraging Error Resilience of Iterative Algorithms for Energy Efficiency: from Concept to Implementation (2025)[Working paper › Preprint]. ArXiv.org. Gillani, G. A., Krapukhin, A. & Kokkeler, A. B. J.https://doi.org/10.48550/arXiv.2502.14729Investigating Approximate Computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signals (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Capitani, D., Gillani, G. & John, A.

2024

Emerging Industrial Internet of Things Open-Source Platforms and Applications in Diverse Sectors (2024)Telecom, 5(2), 369-399. Ayele, E. D., Gavriel, S., Gonzalez, J. F., Teeuw, W. B., Philimis, P. & Gillani, G.https://doi.org/10.3390/telecom5020019Modeling the effects of power efficient approximate multipliers in radio astronomy correlators (2024)Experimental Astronomy, 57(2). Article 11. Kokkeler, A. B. J., Gillani, G. A. & Boonstra, A. J.https://doi.org/10.1007/s10686-024-09921-3

Onderzoeksprofielen

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