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Bilde av Perera, Lokukaluge Prasad Channa
Bilde av Perera, Lokukaluge Prasad Channa
Professor Department of Technology and Safety prasad.perera@uit.no +4777660282 93003615 You can find me here

Lokukaluge Prasad Channa 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 Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Erdal Batalden :
    Localized advanced ship predictor for maritime situation awareness with ship close encounter
    Ocean Engineering 2024 ARKIV / DOI
  • Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Advanced data cluster analyses in digital twin development for marine engines towards ship performance quantification
    Ocean Engineering 2024 ARKIV / DOI
  • Hosna Namazi Rabati, Lokukaluge Prasad Channa Perera :
    Study of Maritime Autonomous Surface Ships (MASS) Trustworthiness: Hardware Point of View
    2024 FULLTEKST / ARKIV
  • Muhammad Adnan, Lokukaluge Prasad Channa Perera, Hasan Mahbub Tusher, Salman Nazir :
    Functional Requirements for Onshore Operation Centers to Support Remotely Operated Ships
    2024 FULLTEKST / ARKIV
  • Muhammad Adnan, Lokukaluge Prasad Channa Perera :
    Navigational support framework for maritime autonomous surface ships under onshore operation centers
    CRC Press 2024 DOI
  • Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Singular Value Decomposition-based Multiple Model Approach towards Developing Digital Twin Applications in Ship Performance Prediction
    2024 FULLTEKST / ARKIV
  • 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 FULLTEKST / ARKIV
  • 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
  • Muhammad Adnan, Lokukaluge Prasad Channa Perera :
    Operational support framework for maritime autonomous surface ships under onshore operation centers
    CRC Press 2024 ARKIV / DOI
  • 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 ARKIV / DOI
  • Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Batalden :
    Kinematic motion models based vessel state estimation to support advanced ship predictors
    Ocean Engineering 2023 ARKIV / DOI
  • 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 ARKIV / DOI
  • Hosna Namazi Rabati, Lokukaluge Prasad Channa Perera :
    Trustworthiness Evaluation Framework for Digital Ship Navigators in Bridge Simulator Environments
    The American Society of Mechanical Engineers (ASME) 2023 ARKIV / DOI
  • Lokukaluge Prasad Channa Perera, Kostas Belibassakis :
    Energy-Efficient Marine Engine and Dynamic Wing Evaluation Under Laboratory Conditions to Achieve Emission Reduction Targets in Shipping
    The American Society of Mechanical Engineers (ASME) 2023 ARKIV / DOI
  • 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
    The American Society of Mechanical Engineers (ASME) 2023 ARKIV / DOI
  • 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
    The American Society of Mechanical Engineers (ASME) 2023 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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 ARKIV / DOI
  • 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 ARKIV / DOI
  • Mahmood Taghavi, Lokukaluge Prasad Channa Perera :
    Data Driven Digital Twin Applications Towards Green Ship Operations
    The American Society of Mechanical Engineers (ASME) 2022 DOI
  • 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
    The American Society of Mechanical Engineers (ASME) 2022 DOI
  • 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
    The American Society of Mechanical Engineers (ASME) 2022 DOI
  • 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
    The American Society of Mechanical Engineers (ASME) 2022 ARKIV / DOI
  • 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
    The American Society of Mechanical Engineers (ASME) 2022 DOI
  • Yufei Wang, Lokukaluge Prasad Channa Perera, Bjørn-Morten Batalden :
    The Comparison of Two Kinematic Motion Models for Autonomous Shipping Maneuvers
    The American Society of Mechanical Engineers (ASME) 2022 DOI
  • 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 ARKIV / DOI
  • Brian Murray, Lokukaluge Prasad Perera :
    An AIS-based deep learning framework for regional ship behavior prediction
    Reliability Engineering & System Safety 2021 ARKIV / DOI
  • Brian Murray, Lokukaluge Prasad Perera :
    Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness
    IFAC-PapersOnLine 2021 ARKIV / DOI
  • 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 ARKIV / DOI
  • Lokukaluge Prasad Perera, N P Ventikos, Sven Rolfsen, Anders Öster :
    Advanced Data Analytics towards Energy Efficient and Emission Reduction Retrofit Technology Integration in Shipping
    International Society of Offshore & Polar Engineers 2021 ARKIV
  • Yufei Wang, Lokukaluge Prasad Perera, Bjørn-Morten Batalden :
    Particle Filter Based Ship State and Parameter Estimation for Vessel Maneuvers
    International Society of Offshore & Polar Engineers 2021 ARKIV
  • Brian Murray, Lokukaluge Prasad Perera :
    Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness
    Journal of Ocean Engineering and Science 2021 ARKIV / DOI
  • Brian Murray, Lokukaluge Prasad Perera :
    Deep Representation Learning-Based Vessel Trajectory Clustering for Situation Awareness in Ship Navigation
    CRC Press 2021 DOI
  • Lokukaluge Prasad Perera :
    Topological surfaces based advanced data analytics to support industrial digitalization in shipping
    CRC Press 2021 DOI
  • Khanh Quang Bui, Lokukaluge Prasad Perera :
    Advanced data analytics for ship performance monitoring under localized operational conditions
    Ocean Engineering 2021 ARKIV / DOI
  • Brian Murray, Lokukaluge Prasad Perera :
    A dual linear autoencoder approach for vessel trajectory prediction using historical AIS data
    Ocean Engineering 2020 ARKIV / DOI
  • Khanh Q. Bui, Lokukaluge Prasad Perera :
    A Decision Support Framework for Cost-Effective and Energy Efficient Shipping
    The American Society of Mechanical Engineers (ASME) 2020 DOI
  • Brian Murray, Lokukaluge Prasad Perera :
    Unsupervised Trajectory Anomaly Detection for Situation Awareness in Maritime Navigation
    The American Society of Mechanical Engineers (ASME) 2020 ARKIV / DOI
  • Lokukaluge Prasad Perera, Brian Murray :
    Situation Awareness of Autonomous Ship Navigation in a Mixed Environment under Advanced Ship Predictor
    The American Society of Mechanical Engineers (ASME) 2019 DOI
  • Brian Murray, Lokukaluge Prasad Perera :
    An AIS-Based Multiple Trajectory Prediction Approach for Collision Avoidance in Future Vessels
    The American Society of Mechanical Engineers (ASME) 2019 ARKIV / DOI
  • Lokukaluge Prasad Perera, Brage Mo :
    Ship Performance and Navigation Information under High Dimensional Digital Models
    Journal of Marine Science and Technology 2019 ARKIV / DOI
  • Lokukaluge Prasad Perera, Mario M. Machado, Anders Valland, Diego A.P. Manguinho :
    Failure intensity of offshore power plants under varying maintenance policies
    Engineering Failure Analysis 2019 ARKIV / DOI
  • Khanh Quang Bui, Lokukaluge Prasad Perera :
    The Compliance Challenges in Emissions Control Regulations to Reduce Air Pollution from Shipping
    IEEE (Institute of Electrical and Electronics Engineers) 2019 ARKIV / DOI
  • Lokukaluge Prasad Perera, Karen Vanessa Czachorowski :
    Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies
    IEEE (Institute of Electrical and Electronics Engineers) 2019 ARKIV / DOI
  • Jan Emblemsvåg, Arne Krokan, Vilmar Æsøy, Ivar Farup, Karl Henning Halse, Øivind Kåre Kjerstad et al.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    Universitetsavisa 07. March 2023 FULLTEKST
  • Jan Emblemsvåg, Arne Krokan, Vilmar Æsøy, Ivar Farup, Karl Henning Halse, Øivind Kåre Kjerstad et al.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    Khrono.no 08. March 2023 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
  • 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
  • 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
  • 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 FULLTEKST

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    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

    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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