All Outputs (44)

The Need for a Symbiotic Interface for a Digital Twin (2023)
Conference Proceeding
Palmer, C., Goh, Y. M., Hubbard, E., Grant, R., & Houghton, R. (2023). The Need for a Symbiotic Interface for a Digital Twin. In Leveraging transdisciplinary engineering in a changing and connected world : proceedings of the 30th ISTE international conference on transdisciplinary engineering (873 - 882). https://doi.org/10.3233/ATDE230685

Human interaction with a Digital Twin is an emerging concept for which there are no common definitions. This paper considers the various types of human interaction with Digital Twins. There is very little research considering human cognitive interact... Read More about The Need for a Symbiotic Interface for a Digital Twin.

Machine learning detects terminal singularities (2023)
Conference Proceeding
Kasprzyk, A., Coates, T., & Veneziale, S. (in press). Machine learning detects terminal singularities. In Advances in Neural Information Processing Systems (NeurIPS 2023)

Algebraic varieties are the geometric shapes defined by systems of polynomial equations; they are ubiquitous across mathematics and science. Amongst these algebraic varieties are Q-Fano varieties: positively curved shapes which have Q-factorial termi... Read More about Machine learning detects terminal singularities.

Toric Sarkisov Links of Toric Fano Varieties (2023)
Conference Proceeding
Brown, G., Buczyński, J., & Kasprzyk, A. (2023). Toric Sarkisov Links of Toric Fano Varieties. In Birational Geometry, Kähler–Einstein Metrics and Degenerations: Moscow, Shanghai and Pohang, April–November 2019 (129-144). https://doi.org/10.1007/978-3-031-17859-7_6

We explain a web of Sarkisov links that overlies the classification of Fano weighted projective spaces in dimensions 3 and 4, extending results of Prokhorov.

Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current (2022)
Conference Proceeding
Agrawal, A., Clerx, M., Wang, K., Polonchuk, L., Gavaghan, D. J., & Mirams, G. R. (2022). Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current. In 2022 Computing in Cardiology (CinC). https://doi.org/10.22489/CinC.2022.051

The L-type calcium current (ICaL) is a key current of the heart playing an important role in the contraction of the cardiomyocyte. Patch-clamp recordings of ionic currents can be associated with a reduction of the current magnitude with time (termed... Read More about Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current.

Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development (2022)
Conference Proceeding
Barral, Y. S. H., Polonchuk, L., R. Mirams, G., Clerx, M., Page, G., Sweat, K., …Gavaghan, D. J. (2022). Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development. In Computing in Cardiology 2022. https://doi.org/10.22489/cinc.2022.356

In silico models of cardiomyocyte electrophysiology describe the various ionic currents and fluxes that lead to the formation of action potentials (APs). Experimental data used to create such models can be recorded in adult human cardiac trabeculae u... Read More about Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development.

Adjoint-aided inference of Gaussian process driven differential equations (2022)
Conference Proceeding
Gahungu, P., Lanyon, C. W., Álvarez, M. A., Smith, M. T., & Wilkinson, R. D. (2022). Adjoint-aided inference of Gaussian process driven differential equations. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Linear systems occur throughout engineering and the sciences, most notably as differential equations. In many cases the forcing function for the system is unknown, and interest lies in using noisy observations of the system to infer the forcing, as w... Read More about Adjoint-aided inference of Gaussian process driven differential equations.

Tunable Graphene-based Metasurfaces for Multi-Wideband 6G Communications (2022)
Conference Proceeding
Taghvaee, H., Pitilakis, A., Tsilipakos, O., Tasolamprou, A. C., Kantartzis, N. V., Kafesaki, M., …Gradoni, G. (2022). Tunable Graphene-based Metasurfaces for Multi-Wideband 6G Communications. In 2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) (X434-X436). https://doi.org/10.1109/metamaterials54993.2022.9920752

The next generation of wireless communications within the framework of 6G will be operational at the low THz frequency band. Although THz systems will dramatically enhance several performance indicators such as the data rate, spectral efficiency, and... Read More about Tunable Graphene-based Metasurfaces for Multi-Wideband 6G Communications.

On the Fine Interior of Three-Dimensional Canonical Fano Polytopes (2022)
Conference Proceeding
Batyrev, V., Kasprzyk, A., & Schaller, K. (2022). On the Fine Interior of Three-Dimensional Canonical Fano Polytopes. In Interactions with Lattice Polytopes (11-47). https://doi.org/10.1007/978-3-030-98327-7_2

The Fine interior ∆FI of a d-dimensional lattice polytope ∆ is a rational subpolytope of ∆ which is important for constructing minimal birational models of non-degenerate hypersurfaces defined by Laurent polynomials with Newton polytope ∆. This paper... Read More about On the Fine Interior of Three-Dimensional Canonical Fano Polytopes.

Interactions with Lattice Polytopes (2022)
Conference Proceeding
(2022). Interactions with Lattice Polytopes. In A. M. Kasprzyk, & B. Nill (Eds.), Interactions with Lattice Polytopes. https://doi.org/10.1007/978-3-030-98327-7

This book collects together original research and survey articles highlighting the fertile interdisciplinary applications of convex lattice polytopes in modern mathematics. Covering a diverse range of topics, including algebraic geometry, mirror symm... Read More about Interactions with Lattice Polytopes.

Differential privacy over Riemannian manifolds (2021)
Conference Proceeding
Reimherr, M., Bharath, K., & Soto, C. (2021). Differential privacy over Riemannian manifolds.

In this work we consider the problem of releasing a differentially private statistical summary that resides on a Riemannian manifold. We present an extension of the Laplace or K-norm mechanism that utilizes intrinsic distances and volumes on the mani... Read More about Differential privacy over Riemannian manifolds.

Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective (2021)
Conference Proceeding
Strinati, E. C., Alexandropoulos, G. C., Sciancalepore, V., Di Renzo, M., Wymeersch, H., Phan-Huy, D. T., …Denis, B. (2021). Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. In 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit 2021) (562-567). https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482474

The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 2030 horizon, 6G networks are poised to pave the way for sustainable huma... Read More about Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective.

Evaluating the Robustness of Collaborative Agents (2021)
Conference Proceeding
Knott, P., Carroll, M., Devlin, S., Ciosek, K., Hofmann, K., Dragan, A., & Shah, R. (2021). Evaluating the Robustness of Collaborative Agents. In AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (1560-1562)

Artificial agents trained by deep reinforcement learning will likely encounter novel situations after deployment that were never seen during training. Our agent must be robust to handle such situations well. However, if we cannot rely on the average... Read More about Evaluating the Robustness of Collaborative Agents.

Invariance and identifiability issues for word embeddings (2019)
Conference Proceeding
Carrington, R., Bharath, K., & Preston, S. (2019). Invariance and identifiability issues for word embeddings. In Advances in Neural Information Processing Systems 32 (NIPS 2019)

Word embeddings are commonly obtained as optimisers of a criterion function f of 1 a text corpus, but assessed on word-task performance using a different evaluation 2 function g of the test data. We contend that a possible source of disparity in 3 pe... Read More about Invariance and identifiability issues for word embeddings.

A novel wave-energy device with enhanced wave amplification and induction actuator (2019)
Conference Proceeding
Bokhove, O., Kalogirou, A., Henry, D., & Thomas, G. P. (2019). A novel wave-energy device with enhanced wave amplification and induction actuator

A novel wave-energy device will be presented. Both a preliminary proof-of-principle of a working, scaled laboratory version of the energy device will be shown as well as the derivation and analysis of a comprehensive mathematical and numerical model... Read More about A novel wave-energy device with enhanced wave amplification and induction actuator.

Wave scattering in coupled composite plates (2018)
Conference Proceeding
Aimakov, N., Tanner, G., & Chronopoulos, D. (2018). Wave scattering in coupled composite plates. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings ,NOVEM 2018 (421-431)

Establishing the wave propagation characteristics at plate junctions is of great importance in the prediction of vibrational energy transmission across complex structures. A hybrid approach combining the finite element (FE) and the wave finite elemen... Read More about Wave scattering in coupled composite plates.

Analysis of Nonstationary Emissions for Efficient Characterization of Stochastic em Fields (2018)
Conference Proceeding
Baharuddin, M. H., Smartt, C., Maricar, M. I., Thomas, D. W., Gradoni, G., Creagh, S. C., & Tanner, G. (2018). Analysis of Nonstationary Emissions for Efficient Characterization of Stochastic em Fields. In 2018 International Symposium on Electromagnetic Compatibility (EMC EUROPE) (208-213). https://doi.org/10.1109/EMCEurope.2018.8485104

A statistical approach using field-field correlation functions which is obtained from two-probe time domain measurement is used to characterize the radiation from complex devices. The time-frequency analysis provided by the measurement data has shown... Read More about Analysis of Nonstationary Emissions for Efficient Characterization of Stochastic em Fields.

Uncertainty quantification for random fields estimated from effective moduli of elasticity (2018)
Conference Proceeding
Pierce-Brown, J., Neves, L. C., & Brown, D. L. (2018). Uncertainty quantification for random fields estimated from effective moduli of elasticity. In Proceedings of the 8th International Workshop on Reliable Computing "Computing with Confidence", 16-18 July 2018, University of Liverpool, Liverpool, UK (51-62)

The stochastic finite element method is a useful tool to calculate the response of systems subject to uncertain parameters and has been applied extensively to analyse structures composed of randomly heterogeneous materials. The methodology to estimat... Read More about Uncertainty quantification for random fields estimated from effective moduli of elasticity.

Modelling chaos in asymmetric optical fibres (2017)
Conference Proceeding
Kumar, D. S., Creagh, S., Sujecki, S., & Benson, T. M. (2017). Modelling chaos in asymmetric optical fibres. In 2017 19th International Conference on Transparent Optical Networks (ICTON) (1-5). https://doi.org/10.1109/ICTON.2017.8024908

A ray dynamical approach is developed for the study of large-core asymmetric step index fibres (SIF), especially those made from chalcogenide glasses (ChGs) which can exhibit very high refractive index, large numerical aperture, and which are transpa... Read More about Modelling chaos in asymmetric optical fibres.

Optimal secure quantum teleportation of coherent states of light (2017)
Conference Proceeding
Liuzzo-Scorpo, P., & Adesso, G. (2017). Optimal secure quantum teleportation of coherent states of light. In C. Soci, K. Srinivasan, & M. Agio (Eds.), Proceedings Volume 10358, Quantum Photonic Devices. https://doi.org/10.1117/12.2272993

We investigate quantum teleportation of ensembles of coherent states of light with a Gaussian distributed displacement in phase space. Recently, the following general question has been addressed in [P. Liuzzo-Scorpo et al., arXiv:1705.03017]: Given a... Read More about Optimal secure quantum teleportation of coherent states of light.

Modelling of nonlinear wave-buoy dynamics using constrained variational methods (2017)
Conference Proceeding
Kalogirou, A., Bokhove, O., & Ham, D. (2017). Modelling of nonlinear wave-buoy dynamics using constrained variational methods. In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering (1-10). https://doi.org/10.1115/OMAE2017-61966

We consider a comprehensive mathematical and numerical strategy to couple water-wave motion with rigid ship dynamics using variational principles. We present a methodology that applies to three-dimensional potential flow water waves and ship dynamics... Read More about Modelling of nonlinear wave-buoy dynamics using constrained variational methods.