Mr. Waleed Hilal Profile

Waleed Hilal

SPIE Involvement:

Conference Program Committee | Author

Area of Expertise:

artificial intelligence , machine learning , anomaly detection , cognitive dynamic systems , estimation theory , controls

Websites:

Company Website

Profile Summary

Waleed received a Bachelor’s degree in Mechanical Engineering from the University of Guelph (Ontario, Canada) with a dual focus on advanced mechatronics and sustainable energy systems. He is currently pursuing a PhD in Mechanical Engineering and Artificial Intelligence at McMaster University. Mr. Hilal’s research interests include machine learning techniques for anomaly detection and fault detection, generative adversarial networks, and cognitive dynamic systems. He is currently a graduate research assistant in the Intelligent and Cognitive Engineering (ICE) Laboratory in the Department of Mechanical Engineering at McMaster University. Mr. Hilal is also involved in various research projects with industrial partners such as Adastra Corporation (Toronto, Ontario) where he delivers data solutions for industrial applications. He is also involved with the Ontario Health Data Platform where he leads the data analytics for a research team to explore trends and discover insights relating to infections, hospitalizations, and vaccinations for the Province of Ontario.

Publications (24)

Proceedings Article | 6 August 2024 Paper

Paper

A novel bioinspired tracking control method for mobile robots with the adaptive sliding innovation filter

Zhe Xu, Waleed Hilal, S. Andrew Gadsden, Mohammad AlShabi

Proceedings Volume 13052, 1305209 (2024) https://doi.org/10.1117/12.3013754

KEYWORDS: Mobile robots, Tunable filters, Error analysis, Control systems, Modeling, Design, Robots, Kinematics, Covariance, Signal filtering

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Proceedings Article | 7 June 2024 Paper

Paper

Nonlinear filtering using the double exponential transformation

Quade Butler, Brett Sicard, Waleed Hilal, S. Andrew Gadsden, Youssef Ziada

Proceedings Volume 13057, 1305704 (2024) https://doi.org/10.1117/12.3013683

KEYWORDS: Tunable filters, Nonlinear filtering, Signal filtering, Digital filtering, Gaussian filters, Electronic filtering, Covariance, Monte Carlo methods, Design rules, Dynamical systems

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Proceedings Article | 7 June 2024 Poster + Paper

Poster + Paper

Sliding mode and variable structure filters for signal processing: a literature review

Khaled Obaideen, Waleed Hilal, S. Andrew Gadsden, Mohammad AlShabi

Proceedings Volume 13057, 1305712 (2024) https://doi.org/10.1117/12.3013771

KEYWORDS: Signal filtering, Tunable filters, Signal processing, Electronic filtering, Nonlinear filtering, Control systems, Analytical research, Machine learning, Target recognition, Digital filtering

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Proceedings Article | 6 June 2024 Presentation + Paper

Presentation + Paper

Convolutional variational autoencoders for secure lossy image compression in remote sensing

Alessandro Giuliano, S. Andrew Gadsden, Waleed Hilal, John Yawney

Proceedings Volume 13062, 130620H (2024) https://doi.org/10.1117/12.3013451

KEYWORDS: Image compression, Satellites, Satellite imaging, Earth observing sensors, Image restoration, Image processing, Image quality, Machine learning, Distortion, Quantization

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Proceedings Article | 6 June 2024 Presentation + Paper

Presentation + Paper

Adaptive SIF-EKF estimation for fault detection in attitude control experiments

Alex McCafferty-Leroux, Waleed Hilal, S. Andrew Gadsden, Mohammad Al-Shabi

Proceedings Volume 13062, 130620L (2024) https://doi.org/10.1117/12.3013725

KEYWORDS: Satellites, Tunable filters, Error analysis, Bismuth, Control systems, Complex systems, Actuators, Switching, Covariance, Systems modeling

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An inherent property of dynamic systems with real applications is their high degree of variability, manifesting itself in ways that are often harmful to system stability and performance. External disturbances, modeling error, and faulty components must be accounted for, either in the system design, or algorithmically through estimation and control methods. In orbital satellite systems, the ability to compensate for uncertainty and detect faults is vital. Satellites are responsible for many essential operations on Earth, including GPS tracking, radio communication/broadcasting, defense, and climate monitoring. They are also expensive to design and fabricate, to deploy, and currently impossible to fix if suddenly inoperable. In being subjected to unforeseen disturbances or minor system failures, communications with Earth can cease and valuable data can be lost. Researchers have been developing robust estimation and control strategies for several decades to mitigate the effects of these failure modes. For instance, fault detection methods can be employed in satellites to detect deviations in attitude or actuator states such that error or incorrect data does not propagate further across its long life cycle. The Kalman Filter (KF) is an optimal state estimation strategy with sub-optimal nonlinear variations, commonly applied in most dynamic systems, including satellites. However, in the presence of aforementioned uncertainties, these optimal estimators tend to degrade drastically in performance, and must be replaced for more robust methods. The newly developed Sliding-Innovation Filter (SIF) is one such candidate, as it has been demonstrated to perform state estimation robustly in faulty systems. Using an in-lab Nanosatellite Attitude Control Simulator (NACS), an adaptive hybrid formulation of the SIF and EKF is applied to a satellite system to detect faults and disturbances in experiments, based on the Normalized Innovation Squares (NIS) metric. This strategy was demonstrated to improve state estimation accuracy in the presence of multiple faults, compared to conventional methods.

Proceedings Article | 6 June 2024 Presentation + Paper

Presentation + Paper

Integration of blockchain in smart systems: problems and opportunities for real-time sensor data storage

Naseem Alsadi, Syed Zaidi, Mankaran Rooprai, Stephen Gadsden, John Yawney, Waleed Hilal

Proceedings Volume 13058, 130580R (2024) https://doi.org/10.1117/12.3013828

KEYWORDS: Blockchain, Internet of things, Data storage, Sensors, Computer security, Network security, Computer simulations, Polonium, Industrial applications, Databases

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Proceedings Article | 19 July 2023 Presentation + Paper

Presentation + Paper

Normalized determinant pooling layer in CNNs for multi-label classification

Alessandro Giuliano, Waleed Hilal, Naseem Alsadi, John Yawney, S. Andrew Gadsden

Proceedings Volume 12523, 1252309 (2023) https://doi.org/10.1117/12.2663916

KEYWORDS: Education and training, Machine learning, Convolution, Image processing, Performance modeling, Image classification, Feature extraction, Data modeling, Image segmentation, Visualization

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Proceedings Article | 14 June 2023 Presentation + Paper

Presentation + Paper

A machine learning-based state estimation approach for varying noise distributions

Waleed Hilal, Stephen Gadsden, John Yawney

Proceedings Volume 12547, 1254706 (2023) https://doi.org/10.1117/12.2663898

KEYWORDS: Machine learning, Education and training, Data modeling, Neurons, Network architectures, Covariance, Performance modeling, Signal filtering, Covariance matrices, Systems modeling

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Proceedings Article | 14 June 2023 Presentation + Paper

Presentation + Paper

A robust fault detection and identification strategy for aerospace systems

Andrew Lee, Waleed Hilal, D. Ciampini, S. Andrew Gadsden, Mohammad Al-Shabi

Proceedings Volume 12547, 1254707 (2023) https://doi.org/10.1117/12.2663917

KEYWORDS: Covariance, Actuators, Tunable filters, Error analysis, Matrices, Covariance matrices, Complex systems, Signal filtering, Sensors, Aerospace engineering

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Proceedings Article | 14 June 2023 Presentation + Paper

Presentation + Paper

Derivation of the sliding innovation information filter for target tracking

Naseem Alsadi, Waleed Hilal, S. Andrew Gadsden, Mohammad Al-Shabi

Proceedings Volume 12547, 1254708 (2023) https://doi.org/10.1117/12.2663909

KEYWORDS: Tunable filters, Signal filtering, Covariance matrices, Matrices, Digital filtering, Electronic filtering, Covariance, Error analysis, Motion models, Complex systems

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Proceedings Article | 14 June 2023 Presentation + Paper

Presentation + Paper

Generalizing the unscented Kalman filter for state estimation

Quade Butler, Waleed Hilal, Brett Sicard, Youssef Ziada, S. Andrew Gadsden

Proceedings Volume 12547, 1254703 (2023) https://doi.org/10.1117/12.2664227

KEYWORDS: Signal filtering, Covariance, Error analysis, Tunable filters, Nonlinear filtering, Simulations, Complex systems, Systems modeling, Matrices, Covariance matrices

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Proceedings Article | 14 June 2023 Presentation + Paper

Presentation + Paper

An adaptive SIF and KF estimation strategy for fault detection based on the NIS metric

Waleed Hilal, Naseem Alsadi, Stephen Gadsden, Mohammad AlShabi

Proceedings Volume 12546, 125460S (2023) https://doi.org/10.1117/12.2664054

KEYWORDS: Tunable filters, Covariance, Signal filtering, Simulations, Gain switching, Covariance matrices, Systems modeling, Modeling, Electronic filtering, Monte Carlo methods

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Proceedings Article | 13 June 2023 Presentation + Paper

Presentation + Paper

Facial feature tracking method using a hybrid model of the Kalman filter and the sliding innovation filter

Connor Wilkinson, Waleed Hilal, S. Andrew Gadsden, John Yawney

Proceedings Volume 12528, 1252805 (2023) https://doi.org/10.1117/12.2663896

KEYWORDS: Video, Object detection, Signal filtering, Tunable filters, Covariance matrices, Image processing, Electronic filtering, Facial recognition systems, Data modeling, Video surveillance

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Proceedings Article | 8 June 2022 Presentation + Paper

Presentation + Paper

Combined particle and smooth innovation filtering for nonlinear estimation

W. Hilal, S. A. Gadsden, S. Wilkerson, M. AlShabi

Proceedings Volume 12122, 1212204 (2022) https://doi.org/10.1117/12.2618973

KEYWORDS: Nonlinear filtering, Filtering (signal processing), Particle filters, Systems modeling, Statistical analysis, Signal processing

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Proceedings Article | 8 June 2022 Presentation + Paper

Presentation + Paper

A square-root formulation of the sliding innovation filter for target tracking

W. Hilal, S. A. Gadsden, S. Wilkerson, M. AlShabi

Proceedings Volume 12122, 1212203 (2022) https://doi.org/10.1117/12.2618965

KEYWORDS: Filtering (signal processing), Complex systems, Estimation theory, Radar, Numerical stability

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Proceedings Article | 6 June 2022 Poster + Paper

Poster + Paper

Neural network training loss optimization utilizing the sliding innovation filter

Naseem Alsadi, Waleed Hilal, Onur Surucu, Alessandro Giuliano, Stephen Gadsden, John Yawney, Mohammad AlShabi

Proceedings Volume 12113, 121131Z (2022) https://doi.org/10.1117/12.2619029

KEYWORDS: Neural networks, Neurons, Filtering (signal processing), Error analysis, Data modeling, Matrices, Optimization (mathematics), Complex systems, Chaos, Performance modeling

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Proceedings Article | 6 June 2022 Poster + Paper

Poster + Paper

Visual attention for malware classification

Naseem Alsadi, Waleed Hilal, Onur Surucu, Alessandro Giuliano, Stephen Gadsden, John Yawney

Proceedings Volume 12113, 121131X (2022) https://doi.org/10.1117/12.2619009

KEYWORDS: Visualization, Machine learning, Convolutional neural networks, Binary data, Data modeling, Computing systems, Computer programming, Visual process modeling, Visual analytics, Telecommunications

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Proceedings Article | 6 June 2022 Presentation + Paper

Presentation + Paper

PROGNOS: an automatic remaining useful life (RUL) prediction model for military systems using machine learning

Onur Sürücü, Connor Wilkinson, Uygar Yeprem, Waleed Hilal, S. Andrew Gadsden, John Yawney, Naseem Alsadi, Alessandro Giuliano

Proceedings Volume 12113, 121130R (2022) https://doi.org/10.1117/12.2618913

KEYWORDS: Military electronics, Sensors, Feature extraction, Expectation maximization algorithms, Filtering (signal processing), Machine learning, Signal processing, Data modeling, Principal component analysis, Performance modeling

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Proceedings Article | 6 June 2022 Poster + Paper

Poster + Paper

Minority class augmentation using GANs to improve the detection of anomalies in critical operations

Waleed Hilal, Connor Wilkinson, Alessandro Giuliano, Naseem Alsadi, Onur Surucu, Stephen Gadsden, John Yawney

Proceedings Volume 12113, 121131U (2022) https://doi.org/10.1117/12.2618858

KEYWORDS: Data modeling, Performance modeling, Binary data, Statistical modeling, Machine learning, Principal component analysis, Distance measurement, Artificial intelligence, Classification systems

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Proceedings Article | 31 May 2022 Presentation + Paper

Presentation + Paper

An optimized volumetric approach to unsupervised image registration

Naseem Alsadi, Waleed Hilal, Onur Surucu, Alessandro Giuliano, Stephen Gadsden, John Yawney

Proceedings Volume 12097, 120970D (2022) https://doi.org/10.1117/12.2618647

KEYWORDS: Image registration, Medical imaging, Image processing, Data modeling, Image segmentation, Convolution, Transformers, Machine learning, Computer programming, Neuroimaging

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Proceedings Article | 31 May 2022 Presentation + Paper

Presentation + Paper

Efficient utilization of big data using distributed storage, parallel processing, and blockchain technology

Alessandro Giuliano, Waleed Hilal, Naseem Alsadi, Onur Surucu, Andrew Gadsden, John Yawney, Youssef Ziada

Proceedings Volume 12097, 1209704 (2022) https://doi.org/10.1117/12.2618891

KEYWORDS: Clouds, Data storage, Data processing, Computer security, Network architectures, Distributed computing, Network security, Control systems, Computing systems

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Proceedings Article | 30 May 2022 Presentation + Paper

Presentation + Paper

A topic modeling-based approach to executable file malware detection

Waleed Hilal, Connor Wilkinson, Naseem Alsadi, Onur Surucu, Alessandro Giuliano, Stephen Gadsden, John Yawney

Proceedings Volume 12117, 1211708 (2022) https://doi.org/10.1117/12.2619033

KEYWORDS: Data modeling, Performance modeling, Expectation maximization algorithms, Modeling, Unattended ground sensors, Library classification systems, Feature extraction, Computer security, Statistical modeling, Machine learning

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Proceedings Article | 30 May 2022 Paper

Paper

An anomaly detecting blockchain strategy for secure IoT networks

Naseem Alsadi, Waleed Hilal, Onur Surucu, Alessandro Giuliani, Andrew Gadsden, John Yawney, Stephan Iskander

Proceedings Volume 12117, 121170A (2022) https://doi.org/10.1117/12.2618301

KEYWORDS: Network security, Stochastic processes, Ecosystems, Telecommunications, Mining, Internet, Computer security, Helium, Network architectures, Instrument modeling

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Proceedings Article | 30 May 2022 Presentation + Paper

Presentation + Paper

A survey on ethereum smart contract vulnerability detection using machine learning

Onur Sürücü, Uygar Yeprem, Connor Wilkinson, Waleed Hilal, S. Andrew Gadsden, John Yawney, Naseem Alsadi, Alessandro Giuliano

Proceedings Volume 12117, 121170C (2022) https://doi.org/10.1117/12.2618899

KEYWORDS: Machine learning, Neural networks, Data modeling, Feature extraction, Computer programming, Computer networks, Statistical analysis, Performance modeling, Information security

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Showing 5 of 24 publications

Conference Committee Involvement (2)

Sensors and Systems for Space Applications XVIII

16 April 2025 | Orlando, Florida, United States

SPIE Defense + Commercial Sensing

30 April 2023 |

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