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Engineering, Science, & Technology

Creating, innovating, addressing challenges, solving problems, and improving the quality of lives in society.

With the conventional directed testbench, it is highly improbably to handle verification of current complex Integrated Circuit (IC) designs, because a person has to manually create every test case. The greater the complexity of the designs, the higher the probability of bugs appearing in... READ MORE
Learning Disabilities affect individuals in all age groups and affect how one comprehends the information they receive. Individuals with learning disabilities are often distracted by their surroundings and face difficulties to follow paths in surroundings. Learning disabilities can be addressed with proper support, feedback, and... READ MORE
Advancements in software engineering have enabled the robotics industry to transition from the use of giant industrial robots to more friendly humanoid robots. Soft robotics is one of the key elements needed to advance the transition process by providing a safer way for robots... READ MORE
Autism or Autism Spectrum Disorder (ASD) is a development disability which generally begins during childhood and may last throughout the lifetime of an individual. It is generally associated with difficulty in communication and social interaction along with repetitive behavior. One out of every... READ MORE
In healthcare, delivering high quality care to the patients typically requires significant investment in supply chain management systems. Inventory management is an important part of any supply chain system. Researchers have indicated great potential for optimizing existing healthcare inventory systems, especially within hospitals. With... READ MORE
Most of the individuals in the United States are concerned about healthcare affordability and rising healthcare costs. The prevalent healthcare cost reimbursement system, Fee-For-Service (FFS) has been deemed as a key driver for increasing healthcare costs. Bundle payments (BP) has been suggested as an... READ MORE
The role of amorphous IGZO (Indium Gallium Zinc Oxide) in Thin Film Transistors (TFT) has found its application in emerging display technologies such as active matrix liquid crystal display (LCD) and active matrix organic light-emitting diode (AMOLED) due to factors such as high mobility... READ MORE
The usage of 1D and 3D models to simulate drug transport through the inner ear is a prominent method in cochlear fluid pharmacokinetics. However, the data used to create these models, is often based on invasive sampling methods that limit the spatial resolution given... READ MORE
Cognitive Radios (CRs) are designed to operate with minimal interference to the Primary User (PU), the incumbent to a radio spectrum band. To ensure that the interference generated does not exceed a specific level, an estimate of the Signal to Interference plus Noise Ratio... READ MORE
As global environmental concerns increase, industries continue to respond prominently to meeting sustainable practice standards through technological innovations and new business models. However, current sustainability measurement tools, including Life Cycle Assessment (LCA), do not provide practitioners with sufficiently standardized methodology, which leads to uncertainty... READ MORE
Ionic-Polymer-Metal Composites (IPMCs) are a subset of Electroactive Polymers (EAPs), which are an actively-researched class of electromechanical actuators. IPMCs are similar in function to piezoelectric actuators, however require substantially lower input voltage, requiring as little as 1V to actuate, and with a very high... READ MORE
Image-to-Image translation is the task of translating images between domains while maintaining the identity of the images. The task can be used for entertainment purposes and applications, data augmentation, semantic image segmentation, and more. Generative Adversarial Networks (GANs), and in particular Conditional GANs have recently... READ MORE
The enormous success and popularity of deep convolutional neural networks for object detection has prompted their deployment in various real-world applications. However, their performance in the presence of hardware faults or damage that could occur in the field has not been studied. This thesis... READ MORE
This thesis aims at visualizing deep convolutional neural network interpretations for aerial imagery and understanding how these interpretations change when network weights are damaged. We focus our investigation on networks for aerial imagery, as these may be prone to damages due to harsh operating... READ MORE