1. Enheten
  2. Ansatte
  3. Lokukaluge Prasad Channa Perera
Bilde av Perera, Lokukaluge Prasad Channa
Bilde av Perera, Lokukaluge Prasad Channa
Professor Institutt for teknologi og sikkerhet prasad.perera@uit.no +4777660282 93003615 Her finner du meg

Lokukaluge Prasad Channa 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 2021-2022 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
  • 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
  • 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
  • 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 :
    Navigational support framework for maritime autonomous surface ships under onshore operation centers
    CRC Press 2024 DOI
  • 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
  • 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
  • Muhammad Adnan, Lokukaluge Prasad Channa Perera :
    Operational support framework for maritime autonomous surface ships under onshore operation centers
    CRC Press 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
  • 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 m.fl.:
    Det kan ikke søkes forskingsmidler til kjernekraft: – Et sjansespill med Norges energifremtid?
    Universitetsavisa 07. mars 2023 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?
    Khrono.no 08. mars 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

    • De 50 siste resultatene fra Cristin vises på siden. Se alle arbeider i Cristin her →

    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 Cristin
    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

    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