TU Wien Informatics

20 Years
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Arman Ferdowsi

Projektass.(FWF)

Arman Ferdowsi

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  • Continuity of Thresholded Mode-Switched ODEs and Digital Circuit Delay Models / Ferdowsi, A., Függer, M., Nowak, T., & Schmid, U. (2023). Continuity of Thresholded Mode-Switched ODEs and Digital Circuit Delay Models. In HSCC ’23: Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control. 26th ACM International Conference on Hybrid Systems: Computation and Control (HSCC’23), San Antonio, United States of America (the). Association for Computing Machinery. https://doi.org/10.1145/3575870.3587125
    Project: DMAC (2019–2024)
  • Accurate Hybrid Delay Models for Dynamic Timing Analysis / Ferdowsi, A., Schmid, U., & Salzmann, J. (2023). Accurate Hybrid Delay Models for Dynamic Timing Analysis. In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) (pp. 1–9). IEEE. https://doi.org/10.1109/ICCAD57390.2023.10323646
    Project: DMAC (2019–2024)
  • An Accurate Hybrid Delay Model for Multi-Input Gates / Ferdowsi, A., Schmid, U., & Salzmann, J. (2022). An Accurate Hybrid Delay Model for Multi-Input Gates. https://doi.org/10.34726/2942
    Download: PDF (1.62 MB)
    Project: DMAC (2019–2024)
  • TSCDA: a dynamic two-stage community discovery approach / Ferdowsi, A., Dehghan Chenary, M., & Khanteymoori, A. (2022). TSCDA: a dynamic two-stage community discovery approach. Social Network Analysis and Mining, 12, Article 46. https://doi.org/10.1007/s13278-022-00874-z
  • A Simple Hybrid Model for Accurate Delay Modeling of a Multi-Input Gate / Ferdowsi, A., Maier, J., Öhlinger, D., & Schmid, U. (2022). A Simple Hybrid Model for Accurate Delay Modeling of a Multi-Input Gate. In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1461–1466). https://doi.org/10.23919/DATE54114.2022.9774547
    Project: DMAC (2019–2024)
  • An Integer Programming Approach Reinforced by a Message-passing Procedure for Detecting Dense Attributed Subgraphs / Ferdowsi, A. (2022). An Integer Programming Approach Reinforced by a Message-passing Procedure for Detecting Dense Attributed Subgraphs. In M. Ganzha, L. Maciaszek, M. Paprzycki, & D. Ślęzak (Eds.), Proceedings of the 17th Conference on Computer Science and Intelligence Systems (pp. 569–576). https://doi.org/10.15439/2022F64