• Digital Twin-Driven Actuator Fault Diagnosis for Autonomous Surface Vehicles 

      Bhagavathi, Ravitej; Kufoalor, Giorgio Minde; Hasan, Agus Ismail (Journal article; Peer reviewed, 2023)
      This paper presents a digital twin-driven fault diagnosis approach based on a graphical model and an adaptive extended Kalman filter algorithm for autonomous surface vehicles. In contrast with the traditional adaptive ...
    • Digital twin-driven dynamic repositioning of floating offshore wind farms 

      Kandemir, Ege; Liu, Jincheng; Hasan, Agus Ismail (Journal article; Peer reviewed, 2023)
      This paper presents a novel approach to optimize wind farm layout during operation based on digital twin and dynamic repositioning. The technology offers a possibility to increase the total energy production of floating ...
    • Digital twin-driven energy modeling of Hywind Tampen floating wind farm 

      Qaiser, Muhammad Talal; Ejaz, Jasim; Osen, Ottar Laurits; Hasan, Agus Ismail (Peer reviewed; Journal article, 2023)
      This paper presents energy modeling of Hywind Tampen floating wind farm based on digital twin technology. Upon its completion, the Hywind Tampen wind farm is the largest floating wind farm in the World and the first floating ...
    • Model-Based Fault Diagnosis Algorithms for Robotic Systems 

      Hasan, Agus Ismail; Tahavori, Maryamsadat; Midtiby, Henrik (Journal article; Peer reviewed, 2023)
    • A new estimation method for COVID-19 time-varying reproduction number using active cases 

      Hasan, Agus Ismail; Susanto, Hadi; Tjahjono, Venansius; Kusdiantara, Rudy; Putri, Endah; Nuraini, Nuning; Hadisoemarto, Panji (Peer reviewed; Journal article, 2022)
      We propose a new method to estimate the time-varying effective (or instantaneous) reproduction number of the novel coronavirus disease (COVID-19). The method is based on a discrete-time stochastic augmented compartmental ...
    • A numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models 

      Hasan, Agus Ismail (Peer reviewed; Journal article, 2021)
      We present a numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models. The idea is to augment the reproduction number as an extended state variable in ...
    • 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 ...
    • 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 ...
    • Towards fully autonomous floating offshore wind farm operation & maintenance 

      Ambarita, Evi Elisa; Karlsen, Anniken Susanne Thoresen; Osen, Ottar Laurits; Hasan, Agus Ismail (Peer reviewed; Journal article, 2023)
      Wind energy is one of the most versatile and promising sustainable energy solutions. Wind energy can be harvested in both onshore and offshore environments. Due to the environmental and societal impacts of onshore wind ...