Virtual Parts Repository 2: Model-Driven Design of Genetic Regulatory Circuits (2021)
Journal Article
Yang, B., James, K., Wipat, A., & Misirli, G. (2021). Virtual Parts Repository 2: Model-Driven Design of Genetic Regulatory Circuits. ACS synthetic biology, 10(12), 3304-3315. https://doi.org/10.1021/acssynbio.1c00157

Engineering genetic regulatory circuits is key to the creation of biological applications that are responsive to environmental changes. Computational models can assist in understanding especially large and complex circuits for which manual analysis i... Read More about Virtual Parts Repository 2: Model-Driven Design of Genetic Regulatory Circuits.

A Review of Wearable Multi-wavelength Photoplethysmography (2021)
Journal Article
Ray, D., Collins, T., Woolley, S., & Ponnapalli, P. (2023). A Review of Wearable Multi-wavelength Photoplethysmography. IEEE Reviews in Biomedical Engineering, 16, 136-151. https://doi.org/10.1109/RBME.2021.3121476

Optical pulse detection photoplethysmography (PPG) provides a means of low cost and unobtrusive physiological monitoring that is popular in many wearable devices. However, the accuracy, robustness and generalizability of single-wavelength PPG sensing... Read More about A Review of Wearable Multi-wavelength Photoplethysmography.

Post-buckling of an elastic half-space coated by double layers (2021)
Journal Article
Fu. (2021). Post-buckling of an elastic half-space coated by double layers. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865211010886

We investigate the buckling and post-buckling properties of a hyperelastic half-space coated by two hyperelastic layers when the composite structure is subjected to a uniaxial compression. In the case of a half-space coated with a single layer, it is... Read More about Post-buckling of an elastic half-space coated by double layers.

Deep Regularized Discriminative Network (2021)
Journal Article
Mandal, B. (2021). Deep Regularized Discriminative Network. https://doi.org/10.1007/s42979-021-00647-z

Traditional linear discriminant analysis (LDA) approach discards the eigenvalues which are very small or equivalent to zero, but quite often eigenvectors corresponding to zero eigenvalues are the important dimensions for discriminant analysis. We pro... Read More about Deep Regularized Discriminative Network.