By Dr Tim Lynar

Conference Papers

Lynar TM; Herbert RD; Simon ; Chivers WJ, 2010, 'Reducing grid energy consumption through choice of resource allocation method', in Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum Ipdpsw 2010, http://dx.doi.org/10.1109/IPDPSW.2010.5470911

Herbert RD; Lynar TM, 2009, 'A comparison of economic resource allocation mechanisms in grids of e-waste computers', in Proc 9th Wseas Int Conf Simulation Modelling and Optimization Smo 09 5th Wseas Int Symp Grid Computing Proc 5th Wseas Int Symp Digital Libraries Proc 5th Wseas Int Symp Data Mining, pp. 41 - 46

Lynar TM; Herbert RD, 2009, 'Allocating grid resources for speed and energy conservation', in 6th International Conference on Information Technology and Applications Icita 2009, pp. 55 - 60

Lynar TM; Herbert RD; Simon ; Chivers WJ, 2009, 'Why decide: Is a user's estimation of job completion time useful in grid resource allocation?', in 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings, pp. 1031 - 1037

Lynar TM; Herbert RD; Simon ; Chivers WJ, 2009, 'Why decide: Is a user's estimation of job completion time useful in grid resource allocation?', in 18th World Imacs Congress and Modsim 2009 International Congress on Modelling and Simulation Interfacing Modelling and Simulation with Mathematical and Computational Sciences Proceedings, pp. 1031 - 1037

Lynar TM; Herbert RD; Chivers WJ, 2008, 'Implementing an agent based auction model on a cluster of re-used workstations', in 5th International Conference on Information Technology and Applications Icita 2008, pp. 642 - 646

Lynar TM; Herbert RD; Chivers WJ, 2007, 'Implementing an agent based auction model on a cluster of inexpensive heterogenous workstations', in Modsim07 Land Water and Environmental Management Integrated Systems for Sustainability Proceedings, pp. 1947 - 1953

Preprints

Somerville A; Lynar T; Joiner K; Wild G, 2026, <p class="MDPI12titleori1"><span style="mso-bidi-font-size: 18.0pt; mso-ligatures: standardcontextual;">Virtual Reality Flight Simulation: A Quasi-Transfer of Training Study, http://dx.doi.org/10.20944/preprints202601.0964.v1

Huang Y-T; Guo Y-R; Yang Y-S; Wong G-W; Jheng Y-Z; Sun Y; Modini J; Lynar T; Chen MC, 2026, SAGA: Synthetic Audit Log Generation for APT Campaigns, http://dx.doi.org/10.48550/arxiv.2411.13138

Wasswa H; Lynar T, 2025, Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection via Latent Space Representation Learning and Alignment, http://dx.doi.org/10.48550/arxiv.2512.22488

Wasswa H; Abbass H; Lynar T, 2025, A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies, http://dx.doi.org/10.48550/arxiv.2511.03201

Wasswa H; Abbass H; Lynar T, 2025, Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches, http://dx.doi.org/10.48550/arxiv.2505.17363

Wasswa H; Abbass H; Lynar T, 2025, Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction, http://dx.doi.org/10.48550/arxiv.2505.17357

Wasswa H; Nanyonga A; Lynar T, 2025, Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning, http://dx.doi.org/10.48550/arxiv.2504.18819

Wasswa H; Lynar T; Abbass H, 2025, Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets, http://dx.doi.org/10.48550/arxiv.2505.01437

Wasswa H; Lynar T; Nanyonga A; Abbass H, 2025, IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic, http://dx.doi.org/10.48550/arxiv.2504.18781

Wasswa H; Nanyonga A; Lynar T, 2025, Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder, http://dx.doi.org/10.48550/arxiv.2504.14879

Watson CD; Wang C; Lynar T; Weldemariam K, 2020, Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR, http://dx.doi.org/10.48550/arxiv.2012.01233

Somerville A; Lynar T; Wild G, The Nature and Costs of Civil Aviation Flight Training Safety Occurrences, http://dx.doi.org/10.2139/ssrn.4191514

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