Saad Saleh

Saad Saleh, MSc

Research Staff [External]

SAAD SALEH received the Master's and Bachelor's degrees in Electrical Engineering with majors in Networks and Communications. Currently, he is doing research on enabling cognitive and energy efficient network functions using Memristor-based in-network processing architectures. His primary affiliation is with the Distributed Systems Group (University of Groningen) and Groningen Cognitive Systems and Materials Center (CogniGron), The Netherlands.

External Email (Primary): s.saleh [at] rug.nl
Internal Email (Secondary): saad.saleh [at] tu-ilmenau.de
Location: Office-496, Nijenborgh 9, Bernoulliborg, University of Groningen, The Netherlands
Profile Page (University of Groningen): www.rug.nl/staff/s.saleh/
Profile Page (Personal): saadsaleh.github.io

Research Interests

Networking
Cognitive Networks
Network Architectures

Content Addressable Memories
Software Defined Networks
Emerging Hardware Technologies (Memristors)

Selected Publications

Saad Saleh, Anouk S. Goossens, Sunny Shu, Tamalika Banerjee and Boris Koldehofe. Analog In-Network Computing through Memristor-based Match-Compute Processing. In Proceedings of the 43rd International Conference on Computer Communications (INFOCOM 2024), IEEE, pp. 2518-2527, 2024. [DOI | PDF]
Saad Saleh, Sunny Shu and Boris Koldehofe. dAQM: Derivative-based Active Queue Management. In Proceedings of the 23rd IFIP Networking Conference (NETWORKING 2024), IFIP, pp. 77-85, 2024. [DOI | PDF]
Saad Saleh and Boris Koldehofe. The Future is Analog: Energy-Efficient Cognitive Network Functions over Memristor-Based Analog Computations. In Proceedings of the 22nd ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2023), ACM, pp. 254-262, 2023. [DOI | PDF]
Saad Saleh and Boris Koldehofe. On Memristors for Enabling Energy Efficient and Enhanced Cognitive Network Functions. In IEEE Access, vol. 10, pp. 129279–129312, 2022. [DOI | URL]
Saad Saleh, Anouk S. Goossens, Tamalika Banerjee, and Boris Koldehofe. TCAmMCogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing. In Proceedings of the 7th International Conference on Rebooting Computing (ICRC 2022), IEEE, pp. 89-99, 2022. [DOI | URL]
Saad Saleh, Sunny Shu and Boris Koldehofe. Adaptive In-Network Queue Management using Derivatives of Sojourn Time and Buffer Size, In Proceedings of the 37th Network Operations and Management Symposium (NOMS 2024), IEEE, pp. 1-6, 2024. [DOI | PDF]
Saad Saleh and Boris Koldehofe. Memristor-based Network Switching Architecture for Energy Efficient Cognitive Computational Models. In Proceedings of the 18th International Symposium on Nanoscale Architectures (NanoArch 2023), ACM, pp. 1-4, 2023. [DOI | PDF]
Saad Saleh, Anouk S. Goossens, Tamalika Banerjee and Boris Koldehofe. Towards Energy Efficient Memristor-based TCAM for Match-Action Processing. In Proceedings of the 13th International Green and Sustainable Computing Conference (IGSC 2022), IEEE, pp. 1-4, 2022. [DOI | URL]
Saad Saleh, Anouk S. Goossens, Tamalika Banerjee and Boris Koldehofe. PAmM: Memristor-based Probabilistic Associative Memory for Neuromorphic Network Functions. In Proceedings of the Non-Volatile Memory Technology Symposium (NVMTS 2023), IEEE, 5 pages, 2023.
[Complete list of Publications]

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Saad Saleh, MSc

Research Staff [External]

Research Interests

Selected Publications

Profiles