A5101611965- Structural Health Monitoring Techniques
- Autonomous Vehicle Technology and Safety
- Advanced Optical Sensing Technologies
- Tactile and Sensory Interactions
- Optical Imaging and Spectroscopy Techniques
- Photoacoustic and Ultrasonic Imaging
- Sparse and Compressive Sensing Techniques
- Advanced Optical Imaging Technologies
- Fault Detection and Control Systems
- Video Surveillance and Tracking Methods
- Traffic Prediction and Management Techniques
- Blind Source Separation Techniques
- Image and Signal Denoising Methods
- Ophthalmology and Visual Impairment Studies
- Hybrid Renewable Energy Systems
- Retinal Development and Disorders
- Integrated Energy Systems Optimization
- Traffic control and management
- Microgrid Control and Optimization
- Advanced SAR Imaging Techniques
- Gaze Tracking and Assistive Technology
- Market Dynamics and Volatility
- Advanced Neural Network Applications
- CCD and CMOS Imaging Sensors
- Energy Load and Power Forecasting
Dartmouth College
2021-2024
The University of Queensland
2023
University of Iowa
2019
Purpose To determine whether visual-tactile sensory substitution utilizing the Low-vision Enhancement Optoelectronic (LEO) Belt prototype is suitable as a new visual aid for those with reduced peripheral vision by assessing mobility performance and user opinions. Methods Sighted subjects (n = 20) retinitis pigmentosa (RP) 6) were recruited. The LEO was evaluated on two cohorts: normally sighted wearing goggles to artificially reduce simulate stages of RP progression, advanced field...
Three-dimensional (3D) synthetic aperture radar (SAR) imaging is an active and growing field of research with various applications in both military civilian domains. Sparsity promoting computational inverse methods have proven to be effective providing point estimates for the volumetric image. Such techniques been enhanced by leveraging sequential joint sparsity information from nearby windows. This investigation extends these ideas introducing a Bayesian approach that leverages assumption...
Neural Radiance Fields (NeRF) is an emerging technique in the three-dimensional (3D) volumetric representation world due to its ability learn 3D scenes from sparse two-dimensional (2D) imagery. However, current implementation focus on electro-optical (EO) representations NeRF assumptions with lighting traveling through scene absorbed, which analogous EO sensor operation. In this work we present a framework for utilizing synthetic aperture radar (SAR) imagery standard implementations. Because...
Photoacoustic (PA) imaging combines optical excitation with ultrasonic detection to achieve high-resolution of biological samples. A high-energy pulsed laser is often used for at multi-centimeter depths in tissue. These lasers typically have a low pulse repetition rate, so acquire images real-time, only one the can be per image. This single necessitates use many individual detectors and receive electronics adequately record resulting acoustic waves form an Such requirements make PA systems...
Simulation of autonomous vehicle systems requires that simulated traffic participants exhibit diverse and realistic behaviors. The use prerecorded real-world scenarios in simulation ensures realism but the rarity safety critical events makes large scale collection driving expensive. In this paper, we present DJINN - a diffusion based method generating scenarios. Our approach jointly diffuses trajectories all agents, conditioned on flexible set state observations from past, present, or...
Recovering complex-valued image recovery from noisy indirect data is important in applications such as ultrasound imaging and synthetic aperture radar. While there are many effective algorithms to recover point estimates of the magnitude, fewer designed phase. Quantifying uncertainty estimate can also provide valuable information for real-time decision making. This investigation therefore proposes a new Bayesian inference method that recovers while quantifying signals or images given...
We introduce a method for volumetric photoacoustic imaging from single laser shot using compressive sensing. demonstrate the accuracy and efficiency of 3D pressure distribution reconstruction.
This work analyses a system of energy storage and hydrogen production designed to operate in the emerging conditions which generation is dominated by renewables. Under these conditions, static costs tend become meaningless be replaced corresponding dynamic values. The modelled with generic storage, electrolyser components, connected national grid. Energy may sold either grid at spot price or converted given price. Profit optimisation performed through linear program for systems electrolysers...
The development of algorithms that learn multi-agent behavioral models using human demonstrations has led to increasingly realistic simulations in the field autonomous driving. In general, such jointly predict trajectories for all controlled agents by exploiting road context information as drivable lanes obtained from manually annotated high-definition (HD) maps. Recent studies show these can greatly benefit increasing amount data available training. However, manual annotation HD maps which...
Many individuals with advanced glaucoma and retinal dystrophies have functional difficulty due to a loss of their peripheral vision. These may sufficient central vision read perform visual tasks in controlled situation, but are often unable function cluttered, unstructured or chaotic environment (i.e. normal social situation). This is because they lack the ability be visually alerted an incentive threat outside narrowed region Some groups these patients, for example those diagnosis retinitis...