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Bilde av Perera, Lokukaluge Prasad
Bilde av Perera, Lokukaluge Prasad
Institutt for teknologi og sikkerheit prasad.perera@uit.no +4777660282 93003615 Tromsø You can find me here

Lokukaluge Prasad Perera

Job description

Professor in Maritime Technology &  Senior Research Scientist in Smart Data

Lokukaluge Prasad Perera is a Professor in Maritime Technology at UiT The Arctic University of Norway and also a Senior Research Scientist in Smart Data at SINTEF Digital, with research interests in Maritime and Offshore Systems/Technologies, Instrumentation, Extreme Data, Advanced-Data Analytics & Life Cycle Cost Analysis, Digital Twin & Blockchains, Energy Efficiency, Emission Reduction, & Renewable Energy, Autonomous Navigation, Safety, Risk, and Trustworthiness.

Prof. LP Perera received BSc (1999) in Mechanical Engineering and MSc (2001) in Systems & Controls from Oklahoma State University, USA and PhD (2012) in Naval Architecture and Marine Engineering from Technical University of Lisbon, Portugal. Currently, he is a Professor in Maritime Technology at UiT The Arctic University of Norway and also a Senior Research Scientist in Smart Data at SINTEF Digital, Norway. His research experience includes SINTEF Ocean – Norway (2014-2017), Center for Marine Technology and Engineering - Portugal (2008-2012) and Advanced Technology Research Center – USA (1998-2001). His academic experience includes Naval & Maritime Academy - Sri Lanka (2005-2008) and Ocean University of Sri Lanka - Sri Lanka (2003-2005). Furthermore, Prof. Perera was a visiting lecturer (2001-2005) for several academic institutes in Sri Lanka: University of Ruhuna, University of Moratuwa, Open University of Sri Lanka, Colombo International Nautical & Engineering College. His industrial experience includes Wartsila Finland - Finland (2012-2014).

Prof. Perera has published more than 100 peer-reviewed papers in reputed international journals and conferences. He has also been categorized into a group of the WORLD'S TOP 2% SCIENTISTS in 2021-2022 by a  Stanford University study .

  • Yufei, Lokukaluge Prasad, Bjørn-Morten :
    Pivot point estimation based advanced ship predictor evaluation with vessel maneuvers under sea trial conditions
    Ocean Engineering 2025 DOI / ARKIV
  • Muhammad, Lokukaluge Prasad Channa :
    Operational support framework for maritime autonomous surface ships under onshore operation centers
    2024 DOI / ARKIV
  • Muhammad, Yufei, Lokukaluge Prasad Channa :
    Role of Onshore Operation Centre and Operator in Remote Controlled Autonomous Vessels Operation
    Journal of Ocean Technology 2024 ARKIV / FULLTEKST
  • Veronica Jaramillo, Ziaul Haque, Hyung Ju, Lokukaluge Prasad Channa :
    Barriers to Data Analytics for Energy Efficiency in the Maritime Industry
    Journal of Offshore Mechanics and Arctic Engineering 2024 DOI
  • Mahmood, Lokukaluge Prasad Channa :
    Advanced data cluster analyses in digital twin development for marine engines towards ship performance quantification
    Ocean Engineering 2024 DOI / ARKIV
  • Muhammad, Lokukaluge Prasad Channa :
    Navigational support framework for maritime autonomous surface ships under onshore operation centers
    2024 DOI
  • Yufei, Lokukaluge Prasad Channa, Bjørn-Morten Erdal :
    Adaptive Kalman Filter-based Estimator with Sea Trail Data to Calculate Ship States in Complex Navigation Conditions
    2024 ARKIV / FULLTEKST
  • Mahmood, Lokukaluge Prasad Channa :
    Singular Value Decomposition-based Multiple Model Approach towards Developing Digital Twin Applications in Ship Performance Prediction
    2024 ARKIV / FULLTEKST
  • Hosna Namazi, Lokukaluge Prasad Channa :
    Study of Maritime Autonomous Surface Ships (MASS) Trustworthiness: Hardware Point of View
    2024 ARKIV / FULLTEKST
  • Muhammad, Lokukaluge Prasad Channa, Hasan Mahbub, Salman :
    Functional Requirements for Onshore Operation Centers to Support Remotely Operated Ships
    2024 ARKIV / FULLTEKST
  • Yufei, Lokukaluge Prasad Channa, Bjørn-Morten Erdal :
    Localized advanced ship predictor for maritime situation awareness with ship close encounter
    Ocean Engineering 2024 DOI / ARKIV
  • Hadi, Lokukaluge Prasad Channa :
    Life cycle emission and cost assessment for LNG-retrofitted vessels: the risk and sensitivity analyses under fuel property and load variations
    Ocean Engineering 2023 DOI / ARKIV
  • Yufei, Lokukaluge Prasad Channa, Bjørn-Morten Erdal :
    Coordinate Conversion and Switching Correction to Reduce Vessel Heading-Related Errors in High-Latitude Navigation
    IFAC-PapersOnLine 2023 DOI / ARKIV
  • Yufei, Lokukaluge Prasad Channa, Bjørn-Morten :
    Kinematic motion models based vessel state estimation to support advanced ship predictors
    Ocean Engineering 2023 DOI / ARKIV
  • Hadi, Lokukaluge Prasad Channa :
    Data-driven modeling of energy-exergy in marine engines by supervised ANNs based on fuel type and injection angle classification
    Process Safety and Environmental Protection (PSEP) 2023 DOI / ARKIV
  • Mahmood, Lokukaluge Prasad Channa :
    Multiple Model Adaptive Estimation Coupled With Nonlinear Function Approximation and Gaussian Mixture Models for Predicting Fuel Consumption in Marine Engines
    2023 DOI / ARKIV
  • Hosna Namazi, Lokukaluge Prasad Channa :
    Trustworthiness Evaluation Framework for Digital Ship Navigators in Bridge Simulator Environments
    2023 DOI / ARKIV
  • Hadi, Lokukaluge Prasad Channa :
    The Effect of LNG and Diesel Fuel Emissions of Marine Engines on GHG-Reduction Revenue Policies Under Life-Cycle Costing Analysis in Shipping
    2023 DOI / ARKIV
  • Lokukaluge Prasad Channa, Kostas :
    Energy-Efficient Marine Engine and Dynamic Wing Evaluation Under Laboratory Conditions to Achieve Emission Reduction Targets in Shipping
    2023 DOI / ARKIV
  • Mahmood, Lokukaluge Prasad Channa :
    Data Driven Digital Twin Applications Towards Green Ship Operations
    2022 DOI
  • Nikolaos P., Lokukaluge Prasad Channa, Panagiotis, Emmanouil, Eirini V. :
    A Life-Cycle Cost Framework for Onboard Emission Reduction Technologies: The Case of the Flapping-Foil Thruster Propulsion Innovation
    2022 DOI
  • Khanh Quang, Lokukaluge Prasad Channa, Jan, Halvor :
    Life-Cycle Cost Analysis on a Marine Engine Innovation for Retrofit: A Comparative Study
    2022 DOI / ARKIV
  • Khanh Quang, Lokukaluge Prasad Channa, Jan :
    Life-cycle cost analysis of an innovative marine dual-fuel engine under uncertainties
    Journal of Cleaner Production 2022 DOI / ARKIV
  • Yufei, Lokukaluge Prasad Channa, Bjørn-Morten :
    The Comparison of Two Kinematic Motion Models for Autonomous Shipping Maneuvers
    2022 DOI
  • Lokukaluge Prasad Channa, Kostas, Evangelos, H D Maneesha Nishadini :
    Advanced Data Analytics Based Hybrid Engine-Propeller Combinator Diagram for Green Ship Operations
    2022 DOI
  • Hadi, Lokukaluge Prasad Channa :
    Life Cycle Assessment of Different Marine Fuel Types and Powertrain Configurations for Financial and Environmental Impact Assessment in Shipping
    2022 DOI
  • Tae-Eun, Lokukaluge Prasad Channa, Magne-Petter, Bjørn-Morten, Are Kristoffer :
    Safety challenges related to autonomous ships in mixed navigational environments
    WMU Journal of Maritime Affairs (JoMA) 2022 DOI / ARKIV
  • Sivaraman, Suresh, Lokukaluge Prasad Channa :
    Data driven control based on Deep Q-Network algorithm for heading control and path following of a ship in calm water and waves
    Ocean Engineering 2022 DOI / ARKIV
  • Brian, Lokukaluge Prasad :
    Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness
    Journal of Ocean Engineering and Science 2021 DOI / ARKIV
  • Khanh Quang, Lokukaluge Prasad :
    Advanced data analytics for ship performance monitoring under localized operational conditions
    Ocean Engineering 2021 DOI / ARKIV
  • Lokukaluge Prasad, N P, Sven, Anders :
    Advanced Data Analytics towards Energy Efficient and Emission Reduction Retrofit Technology Integration in Shipping
    2021 ARKIV
  • Yufei, Lokukaluge Prasad, Bjørn-Morten :
    Particle Filter Based Ship State and Parameter Estimation for Vessel Maneuvers
    2021 ARKIV
  • Brian, Lokukaluge Prasad :
    Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness
    IFAC-PapersOnLine 2021 DOI / ARKIV
  • Khanh Quang, Lokukaluge Prasad, Jan :
    Development of a Life-cycle Cost Framework for Retrofitting Marine Engines towards Emission Reduction in Shipping
    IFAC-PapersOnLine 2021 DOI / ARKIV
  • Brian, Lokukaluge Prasad :
    An AIS-based deep learning framework for regional ship behavior prediction
    Reliability Engineering & System Safety 2021 DOI / ARKIV
  • Lokukaluge Prasad :
    Topological surfaces based advanced data analytics to support industrial digitalization in shipping
    2021 DOI
  • Brian, Lokukaluge Prasad :
    Deep Representation Learning-Based Vessel Trajectory Clustering for Situation Awareness in Ship Navigation
    2021 DOI
  • Khanh Q., Lokukaluge Prasad :
    A Decision Support Framework for Cost-Effective and Energy Efficient Shipping
    2020 DOI
  • Brian, Lokukaluge Prasad :
    Unsupervised Trajectory Anomaly Detection for Situation Awareness in Maritime Navigation
    2020 DOI / ARKIV
  • Brian, Lokukaluge Prasad :
    A dual linear autoencoder approach for vessel trajectory prediction using historical AIS data
    Ocean Engineering 2020 DOI / ARKIV
  • Lokukaluge Prasad, Brian :
    Situation Awareness of Autonomous Ship Navigation in a Mixed Environment under Advanced Ship Predictor
    2019 DOI
  • Brian, Lokukaluge Prasad :
    An AIS-Based Multiple Trajectory Prediction Approach for Collision Avoidance in Future Vessels
    2019 DOI / ARKIV
  • Lokukaluge Prasad, Mario M., Anders, Diego A.P. :
    Failure intensity of offshore power plants under varying maintenance policies
    Engineering Failure Analysis 2019 DOI / ARKIV
  • Mahmood, Lokukaluge Prasad :
    A Data-Driven Digital Twin Framework for Vessel Performance Modeling to Quantify Ship Energy Efficiency
    UiT Norges arktiske universitet 29. octobre 2025
  • Jan, Arne, Vilmar, Ivar, Karl Henning, Øivind Kåre et al.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    08. mars 2023 FULLTEKST
  • Jan, Arne, Vilmar, Ivar, Karl Henning, Øivind Kåre et al.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    07. mars 2023 FULLTEKST
  • Ziaul Haque, Halvor, Helene Luise Sonna, Mahmood, Lokukaluge Prasad Channa :
    A review of digital twins for shipping operations
    2023
  • Tae Eun, Lokukaluge Prasad Channa, Magne-Petter, Bjørn-Morten, Are K. :
    Publisher Correction: Safety challenges related to autonomous ships in mixed navigational environments (WMU Journal of Maritime Affairs, (2022), 21, 2, (141-159), 10.1007/s13437-022-00277-z)
    WMU Journal of Maritime Affairs (JoMA) 2022 DOI
  • Tae-Eun, Are Kristoffer, Bjørn-Morten, Lokukaluge Prasad Channa :
    Unlocking long-term safety, environmental and economic values of Maritime Autonomous Surface Ships (MASS)
    WMU Journal of Maritime Affairs (JoMA) 2022 DOI
  • Brian, Lokukaluge Prasad, Egil, Henrique Murilo :
    Machine Learning for Enhanced Maritime Situation Awareness - Leveraging Historical AIS Data for Ship Trajectory Prediction (PhD Thesis)
    UiT Norges arktiske universitet 2021

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

    Research interests

    Maritime and Offshore Systems/Technologies, Instrumentation, Extreme Data, Advanced-Data Analytics & Life Cycle Cost Analysis, Digital Twin & Blockchains, Energy Efficiency, Emission Reduction, & Renewable Energy, Autonomous Navigation, Safety, Risk, and Trustworthiness.

    Curent Research Projects:

    Teaching

    • MFA-2016 Marine Marine Systems and Machinery
    • MFA-2100 Maritime Digitalization
    • MFA-2101 Maritime Data Analytics
    • TEK-3017/8017 Applied Optimal Estimation in Engineering Systems
    • TEK-3014 Navigation Systems
    • MFA-8010 Maritime MTO (Human Technology Organization)
    • TEK-8805 Special curriculum
    Researcher profile in Cristin
    Registrations in Munin
    ResearchGate
    ORCID: https://orcid.org/0000-0002-1608-7804

    Member of research group

    Advanced maritime ship operations   Norsk innhold Maritime Safety Science (MARSCI) Research Group   English content

    Member of project

    INSURE    English content

    CV

    Prof. LP Perera received BSc (1999) in Mechanical Engineering and MSc (2001) in Systems & Controls from Oklahoma State University, USA and PhD (2012) in Naval Architecture and Marine Engineering from Technical University of Lisbon, Portugal. Currently, he is a Professor in Maritime Technology at UiT The Arctic University of Norway and also a Senior Research Scientist in Smart Data at SINTEF Digital, Norway. His research experience includes SINTEF Ocean – Norway (2014-2017), Center for Marine Technology and Engineering - Portugal (2008-2012) and Advanced Technology Research Center – USA (1998-2001). His academic experience includes Naval & Maritime Academy - Sri Lanka (2005-2008) and Ocean University of Sri Lanka - Sri Lanka (2003-2005). Furthermore, Prof.Perera was a visiting lecturer (2001-2005) for several academic institutes in Sri Lanka: University of Ruhuna, University of Moratuwa, Open University of Sri Lanka, Colombo International Nautical & Engineering College. His industrial experience includes Wartsila Finland - Finland (2012-2014).

    Prof. Perera has published more than 100 peer-reviewed papers in reputed international journals and conferences. He has also been categorized into a group of the WORLD'S TOP 2% SCIENTISTS in 2021-2022 by a  Stanford University study .

    Linkedin Profile

    Teknologibygget Tromsø 3.021


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