Bilde av Hemmatpour, Masoud
Bilde av Hemmatpour, Masoud
Post doctoral researcher Department of Computer Science masoud.hemmatpour@uit.no Tromsø

Masoud Hemmatpour


Job description

My research focus on implementing machine learning techniques on emerging programable network devices such as Data Procesing Unit (DPU) as well as smart switches. Furthermore, I investigate use cases of in-network machine learning models such as bot traffic detection, finance, and recommender systems. 


  • Qiong Liu, Tianzhu Zhang, Masoud Hemmatpour, Dong Zhang, Han Qiu, Chung Shue Chen et al.:
    Operationalizing AI/ML in Future Networks: A Bird's Eye View from the System Perspective
    IEEE Communications Magazine 2024 ARKIV / DOI
  • Masoud Hemmatpour, Changgang Zheng, Noa Zilberman, Hoai Phuong Ha :
    GridWatch: A Smart Network for Smart Grid
    IEEE (Institute of Electrical and Electronics Engineers) 2024 ARKIV / DOI
  • Masoud Hemmatpour, Changgang Zheng, Noa Zilberman :
    E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation
    IEEE conference proceedings 2024
  • Masoud Hemmatpour, Tore Heide Larsen, Nikshubha Kumar, Ernst Gunnar Gran :
    In-network monitoring strategies for HPC cloud
    2024 ARKIV
  • Masoud Hemmatpour, Tore Heide Larsen, Nikshubha Kumar, Ernst Gunnar Gran :
    In-Network Monitoring Strategies for HPC Cloud
    2024
  • Masoud Hemmatpour, Changgang Zheng, Noa Zilberman :
    E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation
    2024
  • Masoud Hemmatpour, Changgang Zheng, Noa Zilberman, Hoai Phuong Ha :
    GridWatch: A Smart Network for Smart Grid
    2024

  • The 50 latest publications is shown on this page. See all publications in Cristin here →


    Research interests

    my research interest are exploiting high performance network comunication as well as emerging hardware to accelerate machine learning techniques.


    Member of research group


    CV

    To read my background, please use my personal webpage.