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Bilde av Perera, Lokukaluge Prasad
Bilde av Perera, Lokukaluge Prasad
Professor Institutt for teknologi og sikkerhet prasad.perera@uit.no +4777660282 93003615 Tromsø Her finner du meg

Lokukaluge Prasad Perera

Stillingsbeskrivelse

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-Present by a  Stanford University study .

  • 1
    Hadi Taghavifar, Khanh Quang Bui, Lokukaluge Prasad Perera, Kostas Belibassakis :
    Symbiotic ship propulsion innovation technology: Uncertainty analysis on combined hydrofoil and LNG gas engine
    Applied Ocean Research 21. juni 2025 DOI / ARKIV
  • 1
    Lokukaluge Prasad Perera, Kostas Belibassakis, Dumitru Roman, Anders Oster, Lu Ruihua :
    Digital Twin Framework to Enable Green Ship Operations Towards Zero Emission Vessels—TwinShip Approach
    01. oktober 2025 DOI / ARKIV
  • 1
    Mahmood Taghavi, Lokukaluge Prasad Perera, Ziaul Haque Munim :
    Dynamic Mode Decomposition-Based Approach for Digital Twin Development in Ship Performance Prediction
    01. januar 2025 DOI / ARKIV
  • 1
    Muhammad Adnan, Lokukaluge Prasad Perera :
    Virtual Reality Based Simulator Platform Utilization for Training Remote Vessel Operators
    01. oktober 2025 DOI / ARKIV
  • 1
    Mahmood Taghavi, Lokukaluge Prasad Perera, Sharma Charu, Pawan Sharma, Yufei Wang :
    Feasibility Study of Wave Energy Harvesting in Northern Norway
    01. oktober 2025 DOI / ARKIV
  • 1
    Hosna Namazi Rabati, Lokukaluge Prasad Perera :
    Adaptive Neuro-fuzzy Inference for Predicting Control Inputs in Maritime Autonomous Surface Ships Maneuvers
    01. januar 2025 DOI / ARKIV
  • 1
    Mahmood Taghavi, Lokukaluge P. Perera :
    Digital twin development for ship fuel consumption predictions using multiple model adaptive estimation with Eigensystem Realization Algorithm and Observer/Kalman Filter Identification
    Ocean Engineering 04. desember 2025 DOI / ARKIV
  • 1
    Yufei Wang, Lokukaluge Prasad Perera, Bjørn-Morten Batalden :
    Pivot point estimation based advanced ship predictor evaluation with vessel maneuvers under sea trial conditions
    Ocean Engineering 2025 DOI / ARKIV
  • 1
    Muhammad Adnan, Lokukaluge Prasad Channa Perera :
    Operational support framework for maritime autonomous surface ships under onshore operation centers
    2024 DOI / ARKIV / ARKIV / ARKIV
  • 1
    Muhammad Adnan, Yufei Wang, Lokukaluge Prasad Channa Perera :
    Role of Onshore Operation Centre and Operator in Remote Controlled Autonomous Vessels Operation
    Journal of Ocean Technology 2024 ARKIV / FULLTEKST
  • 1
    Veronica Jaramillo Jimenez, Ziaul Haque Munim, Hyung Ju Kim, Lokukaluge Prasad Channa Perera :
    Barriers to Data Analytics for Energy Efficiency in the Maritime Industry
    Journal of Offshore Mechanics and Arctic Engineering 2024 DOI / ARKIV
  • 1
    Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Advanced data cluster analyses in digital twin development for marine engines towards ship performance quantification
    Ocean Engineering 2024 DOI / ARKIV
  • 1
    Muhammad Adnan, Lokukaluge Prasad Channa Perera :
    Navigational support framework for maritime autonomous surface ships under onshore operation centers
    2024 DOI / ARKIV
  • 1
    Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Erdal Batalden :
    Adaptive Kalman Filter-based Estimator with Sea Trail Data to Calculate Ship States in Complex Navigation Conditions
    2024 ARKIV / FULLTEKST
  • 1
    Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Singular Value Decomposition-based Multiple Model Approach towards Developing Digital Twin Applications in Ship Performance Prediction
    2024 ARKIV / FULLTEKST
  • 1
    Hosna Namazi Rabati, Lokukaluge Prasad Channa Perera :
    Study of Maritime Autonomous Surface Ships (MASS) Trustworthiness: Hardware Point of View
    2024 ARKIV / FULLTEKST
  • 1
    Muhammad Adnan, Lokukaluge Prasad Channa Perera, Hasan Mahbub Tusher, Salman Nazir :
    Functional Requirements for Onshore Operation Centers to Support Remotely Operated Ships
    2024 ARKIV / FULLTEKST
  • 1
    Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Erdal Batalden :
    Localized advanced ship predictor for maritime situation awareness with ship close encounter
    Ocean Engineering 2024 DOI / ARKIV
  • 1
    Hadi Taghavifar, Lokukaluge Prasad Channa Perera :
    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
  • 1
    Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Erdal Batalden :
    Coordinate Conversion and Switching Correction to Reduce Vessel Heading-Related Errors in High-Latitude Navigation
    IFAC-PapersOnLine 2023 DOI / ARKIV
  • 1
    Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Batalden :
    Kinematic motion models based vessel state estimation to support advanced ship predictors
    Ocean Engineering 2023 DOI / ARKIV
  • 1
    Hadi Taghavifar, Lokukaluge Prasad Channa Perera :
    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
  • 1
    Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Multiple Model Adaptive Estimation Coupled With Nonlinear Function Approximation and Gaussian Mixture Models for Predicting Fuel Consumption in Marine Engines
    2023 DOI / ARKIV
  • 1
    Hosna Namazi Rabati, Lokukaluge Prasad Channa Perera :
    Trustworthiness Evaluation Framework for Digital Ship Navigators in Bridge Simulator Environments
    2023 DOI / ARKIV
  • 1
    Hadi Taghavifar, Lokukaluge Prasad Channa Perera :
    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
  • 1
    Lokukaluge Prasad Channa Perera, Kostas Belibassakis :
    Energy-Efficient Marine Engine and Dynamic Wing Evaluation Under Laboratory Conditions to Achieve Emission Reduction Targets in Shipping
    2023 DOI / ARKIV
  • 1
    Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Data Driven Digital Twin Applications Towards Green Ship Operations
    2022 DOI / ARKIV
  • 1
    Nikolaos P. Ventikos, Lokukaluge Prasad Channa Perera, Panagiotis Sotiralis, Emmanouil Annetis, Eirini V. Stamatopoulou :
    A Life-Cycle Cost Framework for Onboard Emission Reduction Technologies: The Case of the Flapping-Foil Thruster Propulsion Innovation
    2022 DOI / ARKIV
  • 1
    Khanh Quang Bui, Lokukaluge Prasad Channa Perera, Jan Emblemsvåg, Halvor Schøyen :
    Life-Cycle Cost Analysis on a Marine Engine Innovation for Retrofit: A Comparative Study
    2022 DOI / ARKIV
  • 1
    Khanh Quang Bui, Lokukaluge Prasad Channa Perera, Jan Emblemsvåg :
    Life-cycle cost analysis of an innovative marine dual-fuel engine under uncertainties
    Journal of Cleaner Production 2022 DOI / ARKIV / ARKIV
  • 1
    Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Batalden :
    The Comparison of Two Kinematic Motion Models for Autonomous Shipping Maneuvers
    2022 DOI / ARKIV
  • 1
    Lokukaluge Prasad Channa Perera, Kostas Belibassakis, Evangelos Filippas, H D Maneesha Nishadini Premasiri :
    Advanced Data Analytics Based Hybrid Engine-Propeller Combinator Diagram for Green Ship Operations
    2022 DOI / ARKIV
  • 1
    Hadi Taghavifar, Lokukaluge Prasad Channa Perera :
    Life Cycle Assessment of Different Marine Fuel Types and Powertrain Configurations for Financial and Environmental Impact Assessment in Shipping
    2022 DOI / ARKIV
  • 1
    Tae-Eun Kim, Lokukaluge Prasad Channa Perera, Magne-Petter Sollid, Bjørn-Morten Batalden, Are Kristoffer Sydnes :
    Safety challenges related to autonomous ships in mixed navigational environments
    WMU Journal of Maritime Affairs (JoMA) 2022 DOI / ARKIV
  • 1
    Sivaraman Sivaraj, Suresh Rajendran, Lokukaluge Prasad Channa Perera :
    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
  • 1
    Brian Murray, Lokukaluge Prasad Perera :
    Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness
    Journal of Ocean Engineering and Science 2021 DOI / ARKIV
  • 1
    Khanh Quang Bui, Lokukaluge Prasad Perera :
    Advanced data analytics for ship performance monitoring under localized operational conditions
    Ocean Engineering 2021 DOI / ARKIV
  • 1
    Lokukaluge Prasad Perera, N P Ventikos, Sven Rolfsen, Anders Öster :
    Advanced Data Analytics towards Energy Efficient and Emission Reduction Retrofit Technology Integration in Shipping
    2021 ARKIV
  • 1
    Yufei Wang, Lokukaluge Prasad Perera, Bjørn-Morten Batalden :
    Particle Filter Based Ship State and Parameter Estimation for Vessel Maneuvers
    2021 ARKIV
  • 1
    Brian Murray, Lokukaluge Prasad Perera :
    Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness
    IFAC-PapersOnLine 2021 DOI / ARKIV / ARKIV
  • 1
    Khanh Quang Bui, Lokukaluge Prasad Perera, Jan Emblemsvåg :
    Development of a Life-cycle Cost Framework for Retrofitting Marine Engines towards Emission Reduction in Shipping
    IFAC-PapersOnLine 2021 DOI / ARKIV / ARKIV
  • 1
    Brian Murray, Lokukaluge Prasad Perera :
    An AIS-based deep learning framework for regional ship behavior prediction
    Reliability Engineering & System Safety 2021 DOI / ARKIV
  • 1
    Lokukaluge Prasad Perera :
    Topological surfaces based advanced data analytics to support industrial digitalization in shipping
    2021 DOI / ARKIV
  • Mahmood Taghavi, Lokukaluge Prasad Perera :
    A Data-Driven Digital Twin Framework for Vessel Performance Modeling to Quantify Ship Energy Efficiency
    UiT Norges arktiske universitet 29. oktober 2025 ARKIV
  • Jan Emblemsvåg, Arne Krokan, Vilmar Æsøy, Ivar Farup, Karl Henning Halse, Øivind Kåre Kjerstad m.fl.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    08. mars 2023 ARKIV / FULLTEKST
  • Jan Emblemsvåg, Arne Krokan, Vilmar Æsøy, Ivar Farup, Karl Henning Halse, Øivind Kåre Kjerstad m.fl.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    07. mars 2023 ARKIV / FULLTEKST
  • Ziaul Haque Munim, Halvor Schøyen, Helene Luise Sonna Krabbel, Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    A review of digital twins for shipping operations
    2023 ARKIV
  • Tae Eun Kim, Lokukaluge Prasad Channa Perera, Magne-Petter Sollid, Bjørn-Morten Batalden, Are K. Sydnes :
    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 / ARKIV
  • Tae-Eun Kim, Are Kristoffer Sydnes, Bjørn-Morten Batalden, Lokukaluge Prasad Channa Perera :
    Unlocking long-term safety, environmental and economic values of Maritime Autonomous Surface Ships (MASS)
    WMU Journal of Maritime Affairs (JoMA) 2022 DOI / ARKIV
  • Brian Murray, Lokukaluge Prasad Perera, Egil Pedersen, Henrique Murilo Gaspar :
    Machine Learning for Enhanced Maritime Situation Awareness - Leveraging Historical AIS Data for Ship Trajectory Prediction (PhD Thesis)
    UiT Norges arktiske universitet 2021 ARKIV

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    Forskningsinteresser

    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:

    Undervisning

    • 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
    Forskerprofil i NVA
    Registreringer i Munin
    ResearchGate
    ORCID: https://orcid.org/0000-0002-1608-7804

    Medlem i forskningsgruppe

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

    Medlem i prosjekt

    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 .

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