• Smart Shopping Trolley 

  Vinoth Kumar, L.; Poornima, B.; Nithusiga, S.; Anitha valli, R. (International Research Journal of Engineering and Technology (IRJET), 2020)

  This paper targeted to reduce the Queue at a billing counter in a shopping complex. The system does the same by displaying the price of the product inside the cart. In this way the customer can directly pay the amount at ...
• Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification(AI-LAMP) for Rapid Detection of SARS-CoV-2 

  Rohaim, M.A.; Clayton, E.; Sahin, I.; Julianne, V.; Khalifa, M.E.; Al-Natour, M.Q.; Bayoumi, M.; Poirier, M.C.; Branavan, M.; Mukunthan, T.; Chaudhry, N.S.; Ravinder, S.; Amy, B.; Peter, B.; Hacking, W.; Botham, J.; Boyce, J.; Wilkinson, H.; Williams, C.; Whittingham-Dowd, J.; Shaw, E.; Matt Hodges; Lisa Butler; Bates, M.D.; Roberto La, R.; Balachandran, V.; Anil, F.; Munir, M. (MDPI, 2020)

  Untilvaccinesandeffectivetherapeuticsbecomeavailable,thepracticalsolutiontotransit safelyoutofthecurrentcoronavirusdisease19(CoVID-19)lockdownmayincludetheimplementation ofaneffectivetesting,tracingandtrackingsystem.Howe ...
• Controls of solar power systems for grid connected & islanded mode operations. 

  Ravindran, N.; Kokulavasan, T.; Rajan, R.; Yuvaraj, M.; Ahilan, K.; Atputharajah, A. (University of Jaffna, 2022)

  Continuous supply of electricity, when there are supply constrains is a mar challenge. Environmental concerns and nonavailability of fossil fuels increases the demand for the use of renewable energy sources such as solar. ...
• Micro-grid Concept for Coordinated Control of Renewable Energy Power Plants and a Way to Integrate with Main Grid 

  Anuraj, U.; Yuvaraj, M.; Rajan, R.; Hameed, I.; Arunprakash, N.; Sajeeva, J.; Kiriparan, B.; Yaalini, B.; Thananjeyan, S.; Tharsika, T.; Ahilan, K.; Atputharajah, A. (IEEE, 2022)

  Many research papers discussed the increasing fossil fuel cost. As the cost is increasing in the present scenario it is necessary to incorporate Renewable Energy (RE) technologies to take primary role in generating ...
• Detection of Mosquito Breeding Areas using Semantic Segmentation 

  Pravina, M.; Maheshi, B.D. (IEEE, 2022)

  The combination of deep learning (DL) and convolutional neural networks (CNN) with image analysis to locate stagnant water will play a crucial role in the dengue control process. This paper aims to automatically segment ...
• Deep Learning for Arbitrary-Shaped Water Pooling Region Detection on Aerial Images 

  Pravina, M.; Maheshi, B.D. (IEEE, 2022)

  Recent rapid development in Unmanned Aerial Vehicles (UAVs) have extensively promoted several types of civilian tasks. In this paper, we propose and compare two different deep learning and convolutional neural network ...
• Explainable Deep Learning Approach for Multi label Classification of Antimicrobial Resistance with Missing Labels 

  Mukunthan, T.; Brian, G.; Roberto La, R.; Anil, F. (IEEE, 2022)

  PredictingAntimicrobialResistance(AMR)fromgenomicsequencedatahasbecomea significantcomponentofovercomingtheAMRchallenge,especiallygivenitspotentialforfacilitatingmore rapiddiagnosticsandpersonalisedantibiotictreatments.W ...
• VIDIIA Hunter : a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK 

  Aurore, C.P.; Riaño Moreno, R.D.; Takaindisa, L.; Jessie, C.; Mehat, J.W.; Abi, H.; Rohaim, M.A.; Williams, C.; Burkhart, P.; Conlon, C.; Wilson, M.; McClumpha, M.; Anna Stedman; Guido Cordoni; Branavan, M.; Mukunthan, T.; Chaudhry, N.S.; Nicolas Locker; Anil, F.; Balachandran, W.; Bullen, M.; Collins, N.; Rimer, D.; Horton, D.L.; Munir, M.; Roberto, M.L.R. (Frontiers in Molecular Biosciences, 2023)

  Accurate and rapid diagnostics paired with effective tracking and tracingsystemsarekeytohaltingthespreadofinfectiousdiseases,limiting the emergenceofnewvariantsandtomonitorvaccineefficacy.Thecurrentgold standard test ...
• Trans AMR: An Interpretable Transformer Model for Accurate Prediction of Antimicrobial Resistance using Antibiotic Administration Data 

  Mukunthan, T.; Wenwu, W.; Michael, K.; Roberto Lo, R.; Anil, F. (IEEE, 2023)

  AntimicrobialResistance(AMR)isagrowingpublicandveterinaryhealthconcern,andthe abilitytoaccuratelypredictAMRfromantibioticsadministrationdataiscrucialforeffectivelytreatingand managinginfections.Whilegenomics-basedapproac ...
• Rectified Classifier Chains for Prediction of Antibiotic Resistance from Multi-Labelled Data with Missing Labels 

  Mukunthan, T.; Brian, G.; Roberto La, R.; Anil, F. (IEEE, 2023)

  PredictingAntimicrobialResistance(AMR)fromgenomicdatahasimportantimplicationsforhumanandanimalhealthcare, andespeciallygivenitspotentialformorerapiddiagnosticsandinformedtreatmentchoices.Withtherecentadvancesinsequencing ...
• Mapping the evidence of the effects of environmental factors on the prevalence of antibiotic resistance in the non-built environment: Protocol for a systematic evidence map 

  Brian, G.; Martha, B.; Adriana, C.R.; Manuela, C.; Mark, A.C.; Francesca, M.C.; Laura, C.G.; Marwa, M.H.; Roberto, M.L.R.; Alexandre, M.; Davide, M.; Gordon, N.; Daniel, O.V.; Revati, P.; Joaquin, M.P.; Werner, R.; Santorelli, L.A.; Nick, S.; Mukunthan, T.; Arnoud, H.M.; Markus, W.; Deza-Cruz, I.; Giovanni Lo, L. (Elsevier, 2023)

  Background: Human, animal, and environmental health are increasingly threatened by the emergence and spread of antibiotic resistance. Inappropriate use of antibiotic treatments commonly contributes to this threat, but it ...
• An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication 

  MacMahon, M.; Hwang, W.; Soorin Yim; MacMahon, E.; Abraham, A.; Barton, J.; Mukunthan, T.; Bilokon, P.; Vasanthi Priyadarshini, G.; Namshik Han (Elsevier, 2023)

  Background: Drug repurposing provides an opportunity to redeploy drugs, which are already tested for safety or approved for use in humans, for the treatment of diseases distinct from their primary indication. For example, ...
• Solution for interconnecting power plants in the Eluvaitivu Island Hybrid system 

  Ravindran, N.; Nithusiga, S.; Ahilan, M.K.; Atputharajah, A. (IESL VADAKKIN CHAPTER ANNUAL TRANSACTION 2023, 2023)

  Present expectation of the world, refer to the electrical power generation is mainly concern about the environmental pollutions. But the usage of renewable energy (RE) resources are alternative solutions to avoid environmental ...
• Optimum control with minimum battery storage for islanded microgrid operation powered by solar PV 

  Ravindran, N.; Kokulavasan, T.; Nithusiga, S.; Ahilan, K.; Atputharajah, A. (2023 Innovations in Power and Advanced Computing Technologies (i-PACT), 2023)

  The application of islanded micro grid, powered by renewable energy sources such as solar PV is getting more vital due to the environmental crises of fossil fuel. Further to the greenhouse gas emission, the present economic ...
• Modelling and Analysis of Oscillating Water Column Based Wave Energy Converter with Compressed Air Energy Storage system 

  Sangar, S.; Arun Karthick, M.; Thiruvaran, T. (2023 IEEE Green Technologies Conference (GreenTech), 2023)

  Using Wave Energy Converters as Distributed energy resources gained significant interest nowadays. A recent article from the US National Renewable Energy Laboratory introduced a concept called Distributed Embedded Energy ...
• Arbitrary Shaped Water Region Detection with Deep Learning for Unmanned Aerial Vehicle-Based Imagery 

  Pravina, M.; Dissanayake, M.B.; Niranjan, M. (University of Peradeniya, 2023)

  The increased precision of segmented results has led to widespread interest in using Deep Learning (DL) for semantic segmentation across different fields. This study delves into using DL methods to accurately segment water ...
• A Survey of Loss Functions for SegNet for Mosquito Breeding Site Detection 

  Mylvaganam, P.; Dissanayake, M.B.; Niranjan, M. (University of Peradeniya, 2023)

  In recent years, computer vision has witnessed significant advancements, revolutionizing various domains. A critical application we consider, especially in the context of Sri Lanka, is the surveillance of mosquito breeding ...
• Operational experience of the first floating solar pilot plant in Sri Lanka 

  Atputharajah, A.; Ahilan, K.; Pirapaharan, K. (University of Jaffna, 2023)

  The Sri Lanka’s first floating solar PV system is operated at the premises of the Faculty of Engineering, University of Jaffna from January 2020. The pilot project was implemented with the support of the Current Solar AS ...
• Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna 

  Herman, K.; Hoole, P.R.P.; Pirapaharan, K.; Hoole, S.R.H. (Springer Nature, 2022)

  Smart cities require the application of human brain-like intelligence systems for sensing, monitoring, decision making and action. In this chapter this scenario is addressed in a two-fold manner. First, the function and ...
• A New Generation of Fast and Low-Memory Smart Digital/Geometrical Beamforming MIMO Antenna 

  Pirapaharan, K.; Prabhashana, W.H.S.; Pramuka Medaranga, S.P.; Hoole, P.R.P.; Fernando, X. (MDPI, 2023)

  Smart multiple-input multiple-output (MIMO) antennas with advanced signal processing algorithms are necessary in future wireless networks, such as 6G and beyond, for accurate space division multiplexing and beamforming. ...

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