Prasad Cheema
Prasad Cheema
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On structural health monitoring using tensor analysis and support vector machine with artificial negative data
P Cheema, NLD Khoa, M Makki Alamdari, W Liu, Y Wang, F Chen, ...
Proceedings of the 25th ACM international on conference on information and …, 2016
Experimental validation of polynomial chaos theory on an aircraft t-tail
P Cheema, DJ Munk, NF Giannelis, GA Vio
18th AIAA Non-Deterministic Approaches Conference, 0953, 2016
Multi-particle swarm optimization used to study material degradation in aeroelastic composites including probabalistic uncertainties
A Vishwanathan, P Cheema, G Vio
2017 IEEE Congress on Evolutionary Computation (CEC), 2458-2464, 2017
A non-intrusive polynomial chaos method to efficiently quantify uncertainty in an aircraft t-tail
P Cheema, GA Vio
Applied Mechanics and Materials 846, 512-517, 2016
Infinite mixture models for operational modal analysis: An automated and principled approach
P Cheema, MM Alamdari, GA Vio, FL Zhang, CW Kim
Journal of Sound and Vibration 491, 115757, 2021
Double Descent Risk and Volume Saturation Effects: A Geometric Perspective
P Cheema, M Sugiyama
arXiv preprint arXiv:2006.04366, 2020
Development of a Control and Vision Interface for an AR. Drone
P Cheema, S Luo, P Gibbens
MATEC Web of Conferences 56, 07002, 2016
New approaches to inverse structural modification theory using random projections
P Cheema, MM Alamdari, GA Vio
Topics in Modal Analysis & Testing, Volume 8, 127-142, 2020
Bayesian Inferencing on an Aircraft T-Tail Using Probabilistic Surrogates and Uncertainty Quantification
P Cheema, G Mathews, GA Vio
AIAA Journal 56 (3), 1185-1197, 2018
Robust optimisation of time-varying aeroelastic composite structures using multi-particle swarm optimization
A Vishwanathan, P Cheema, GA Vio
17th Australian International Aerospace Congress: AIAC, 599, 2017
A drive-by bridge inspection framework using non-parametric clusters over projected data manifolds
P Cheema, MM Alamdari, KC Chang, CW Kim, M Sugiyama
Mechanical Systems and Signal Processing 180, 109401, 2022
The Volume of Non-Restricted Boltzmann Machines and Their Double Descent Model Complexity
P Cheema, M Sugiyama
NeurIPS2020 Workshop: Deep Learning through Information Geometry, 2020
A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems
P Cheema, K Nguyen, M Kidd, GA Vio
AIAA Scitech 2019 Forum, 1964, 2019
On physical realizability for inverse structural designs: bounding the least eigenvalue of an unknown mass matrix
P Cheema, MM Alamdari, GA Vio
arXiv preprint arXiv:2006.16802, 2020
Peak Finding within Spectral Data from an Aircraft T-Tail using a Black-Box Variational Bayesian Approach
P Cheema, GA Vio
AIAA Scitech 2020 Forum, 0703, 2020
Bayesian Inversion and Regression Trees for Mixing Length Model Development
P Cheema, G Mathews, B Thornber, GA Vio
Australasian Fluid Mechanics Conference, 2016
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