Publications

Engineering Sciences

An Experimental Study of the Vortical Structures in Supersonic Steam Jet Impinged on to the Wall

Afrasyab Khan, Khairuddin Sanaullah, Pavel Alexandrovich Taranenko, Vladimir Vladimirovich Sinitsin, David Bassir, Ajmal Shah, Zafar Ahmed, Andrew Ragai Henry Rigit

Proceedings of The 7th International Conference on Mechanical, System and Control Engineering - 2025

Engineering Sciences

Smart monitoring of the expansion state of boiler water walls in coal-fired power plants using a digital twin model

This article presents an approach for monitoring the expansion state of water walls in coal-fired power plants using a digital twin (DT) model. The monitored boiler belongs to a 1000 MW ultrasupercritical power generating unit; it has been in…

L Luo, W Wang, Z Lei, S Bao, David Bassir, G Chen

Proceedings of the Estonian Academy of Sciences - 2025

Engineering Sciences

Crack Detection in Civil Infrastructure: A Method-Scenario Review

Ensuring the structural safety of civil infrastructure is vital for public welfare and cost-effective maintenance. Crack detection, as a key indicator of structural health, has transitioned from traditional image processing to advanced deep learning…

Haochen Chang, Weifan Gu, Baohua Guo, David Bassir

6th International Conference on Multidisciplinary Design Optimization and Applications (MDOA 2024) - 2025

Engineering Sciences

Development of a PDMS/ZnO/Gr piezoelectric tactile sensor and its exploration in intelligent applications

Q Hu, T Chen, L Shen, W Lu, W Tao, L Zhang, L Yin, David Bassir

Proceedings of the Estonian Academy of Sciences - 2025

Biomechanics

Topology Optimization of Biomedical Wrist Orthosis Using Tough Photopolymer Resin

This paper presents a study case on the structural topology optimization of biomedical wrist orthosis. The manufacturing process integrates photosensitive resign that enables production of geometries that are both impact-resistant and exhibit a…

David Bassir, Sofiane Guessasma, Nadhir Lebaal, Gauthier Brunel, Axel Choquet, Haochen Chang

E3S Web of Conferences - 2025

Engineering Sciences

Lattice Structure Optimization Targeting to Enhance the Thermal Performance of An Injection Mold

The thermal performance of injection molds is critical for achieving high manufacturing efficiency and product quality. This study explores the optimization of lattice structures to enhance heat transfer and cooling effectiveness in injection molds…

Alaeddine Zereg, Mohamed Taher Bouzaher, David Bassir, Nadhir Lebaal

E3S Web of Conferences - 2025

Life Sciences

Beware of physiology: Anthropomorphism as a simplification mechanism for mastering complex human-machine interfaces

Humans’ remarkable technical reasoning skills have led to the development of increasingly sophisticated tools. In particular, society has welcomed the advent and democratization of machines that produce effects through indirect causal chains…

Axel Roques, Yannick James, Nicolas Vayatis, Pierre-Paul Vidal

PLoS ONE - 2025

Engineering Sciences

Enhanced Numerical Solutions for Fractional PDEs Using Monte Carlo PINNs Coupled with Cuckoo Search Optimization

In this study, we introduce an innovative approach for addressing fractional partial differential equations (fPDEs) by combining Monte Carlo-based physics-informed neural networks (PINNs) with the cuckoo search (CS) optimization algorithm, termed…

Tauqeer Ahmad, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

Fractal and Fractional - 2025

Engineering Sciences

A Novel Meta-Learning-Based Spatio-Temporal Modeling Approach for Thermal Error Prediction of Multiple Machine Tools with Few Labeled Data

Chaochao Qiu, Qiongke Liang, Ling Yin, David Bassir, Lijuan Zhang, Weicheng Lin

SSRN Electronic Journal - 2025

Metric Geometry

Riemannian Metric Learning: Closer to You than You Imagine

Riemannian metric learning is an emerging field in machine learning, unlocking new ways to encode complex data structures beyond traditional distance metric learning. While classical approaches rely on global distances in Euclidean space, they often…

Samuel Gruffaz, Josua Sassen