• On Demand Waste Collection for Smart Cities: A Case Study 

      Alaliyat, Saleh Abdel-Afou; Mishra, Deepti; Schaarschmidt, Ute Alexandra; Hu, Zhicheng; Haghshenas, Amirashkan; Giarre, Laura (Chapter, 2022)
      The neat and clean surrounding is the main driving force for any city to be called a smart city. In order to address current societal and business challenges, the objective is to provide a solution to enable collection-on-demand ...
    • Predictive digital twin for offshore wind farms 

      Haghshenas, Amirashkan; Hasan, Agus Ismail; Osen, Ottar Laurits; Mikalsen, Egil Tennfjord (Peer reviewed; Journal article, 2023)
      As wind turbines continue to grow in size, they are increasingly being deployed offshore. This causes operation and maintenance of wind turbines becoming more challenging. Digitalization is a key enabling technology to ...
    • Predictive Digital Twin of Wind Farm 

      Haghshenas, Amirashkan (Master thesis, 2022)
      Det nåværende prosjektet er industri 4.0 digital tvilling for havvindpark som er et forsøk på å forske på de nyeste teknologiene, presentere og utvikle en digital infrastruktur for vindparker. Det vil tillate brukere å ...
    • Temporal Topology Density Map 

      Hu, Zhicheng; Hojjati, Amirabbas; Haghshenas, Amirashkan; Hasan, Agus Ismail; Da Silva Torres, Ricardo (Peer reviewed; Journal article, 2023)
      Spatiotemporal data visualization is of paramount importance in several applications, especially for analyzing urban mobility data encoded on topologies. This paper introduces a novel solution, called Temporal Topology ...