ORCID as entered in ROS

Select Publications
2016, 'The A to Z of building a testbed for Power Analysis attacks', in 2015 IEEE 10th International Conference on Industrial and Information Systems Iciis 2015 Conference Proceedings, pp. 501 - 506, http://dx.doi.org/10.1109/ICIINFS.2015.7399063
,2016, 'Autonomic trust management in cloud-based and highly dynamic IoT applications', in Proceedings of the 2015 ITU Kaleidoscope Trust in the Information Society K 2015 Academic Conference, http://dx.doi.org/10.1109/Kaleidoscope.2015.7383635
,2015, 'AUTONOMIC TRUST MANAGEMENT IN CLOUD-BASED AND HIGHLY DYNAMIC IOT APPLICATIONS', in 2015 ITU KALEIDOSCOPE: TRUST IN THE INFORMATION SOCIETY (K-2015), IEEE, SPAIN, Univ Autonoma, Barcelona, pp. 83 - 90, presented at ITU Kaleidoscope Academic Conference on Trust in the Information Society, SPAIN, Univ Autonoma, Barcelona, 09 December 2015 - 11 December 2015, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380568500017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,2014, 'Accelerating correlation power analysis using graphics processing units (GPUs)', in 2014 7th International Conference on Information and Automation for Sustainability Sharpening the Future with Sustainable Technology Iciafs 2014, http://dx.doi.org/10.1109/ICIAFS.2014.7069547
,2014, 'Accelerating correlation power analysis using graphics processing units (GPUs)', in 2014 7th International Conference on Information and Automation for Sustainability: "Sharpening the Future with Sustainable Technology", ICIAfS 2014, http://dx.doi.org/10.1109/ICIAFS.2014.7069547
,2025, Adaptively integrated sequencing and assembly of near-complete genomes, http://dx.doi.org/10.1101/2025.03.31.646505
,2025, Realfreq: Real-time base modification analysis for nanopore sequencing, http://dx.doi.org/10.1101/2025.01.23.634192
,2024, A new compression strategy to reduce the size of nanopore sequencing data, http://dx.doi.org/10.1101/2024.10.02.616377
,2024, Interactive visualisation of raw nanopore signal data with Squigualiser, http://dx.doi.org/10.1101/2024.02.19.581111
,2024, Leveraging Basecaller’s Move Table to Generate a Lightweight k-mer Model, http://dx.doi.org/10.1101/2024.06.30.601452
,2024, Targeted long-read sequencing as a single assay improves diagnosis of spastic-ataxia disorders, http://dx.doi.org/10.1101/2024.09.04.24312938
,2023, The landscape of genomic structural variation in Indigenous Australians, http://dx.doi.org/10.1101/2023.10.17.562810
,2023, A CCG expansion inABCD3causes oculopharyngodistal myopathy in individuals of European ancestry, http://dx.doi.org/10.1101/2023.10.09.23296582
,2023, minimap2-fpga: Integrating hardware-accelerated chaining for efficient end-to-end long-read sequence mapping, http://dx.doi.org/10.1101/2023.05.30.542681
,2023, Accelerated nanopore basecalling with SLOW5 data format, http://dx.doi.org/10.1101/2023.02.06.527365
,2023, Extensive DNA methylome rearrangement during early lamprey embryogenesis, http://dx.doi.org/10.1101/2023.05.25.542242
,2023, Squigulator: simulation of nanopore sequencing signal data with tunable noise parameters, http://dx.doi.org/10.1101/2023.05.09.539953
,2023, Streamlining remote nanopore data access withslow5curl, http://dx.doi.org/10.1101/2023.11.28.569128
,2022, Efficient Real-Time Selective Genome Sequencing on Resource-Constrained Devices, http://arxiv.org/abs/2211.07340v1
,2022, ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference, http://dx.doi.org/10.48550/arxiv.2209.04161
,2022, DeepSelectNet: Deep Neural Network Based Selective Sequencing for Oxford Nanopore Sequencing, http://dx.doi.org/10.1101/2022.10.24.513498
,2022, Flexible and efficient handling of nanopore sequencing signal data with slow5tools, http://dx.doi.org/10.1101/2022.06.19.496732
,2021, Computer Architecture-Aware Optimisation of DNA Analysis Systems, http://dx.doi.org/10.48550/arxiv.2101.05012
,2021, Comprehensive genetic diagnosis of tandem repeat expansion disorders with programmable targeted nanopore sequencing, http://dx.doi.org/10.1101/2021.09.27.21263187
,2020, Analytical validity of nanopore sequencing for rapid SARS-CoV-2 genome analysis, http://dx.doi.org/10.1101/2020.08.04.236893
,2020, Methods for De-novo Genome Assembly, http://dx.doi.org/10.20944/preprints202006.0324.v1
,2018, Power Analysis Based Side Channel Attack, http://dx.doi.org/10.48550/arxiv.1801.00932
,2014, Accelerating Correlation Power Analysis Using Graphics Processing Units, http://dx.doi.org/10.48550/arxiv.1412.7682
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