An IoT Hot Cold Sensation Device

This project is to research and develop a portable hot-cold sensation diagnostic device which will be used to test and record the degree of hot and cold sensation on patient’s limbs. Traditional method uses test tubes filled with warm water or cracked ice and water for testing. Temperature less than 5oC and greater than 45oC elicit painful responses in addition to temperature should be avoided. The proposed device not only integrates the key sensory testing tool, but through its electrical components, it provides method to conduct reproducible tests.

Development of a market prototype of a smart toothbrush for individuals with advance dementia

Dementia in general and Alzheimer Disease in particular are among the most challenging health conditions in our century. Experiencing cognitive decline, resulting in relying on others for daily living activities and impairment in basic mental tasks are the main symptoms. There are yet no proven treatments to slow or prevent Alzheimer's Disease or dementia progression; thus, they eventually need full-time care. To help patients to stay at their own home longer and ease the caregiver burden, Smart Assistive Technology (SAT) products may be greatly beneficial.

IoT-based Rental Item Location Tracking System

The purpose of this project is to add a feature to Rentrax so that business owners can track the physical location of their rental items. Device should be small enough to be hidden in rental items such as bikes. Battery usage of device should be as low as possible so that it doesn’t need frequent re-charge Location of device can be sent in real time or by receiving a signal or SMS and sending the location The fix and operating cost of device should be reasonable (fix cost below $30 and operating cost below $5 a month)

Advanced Image-guided Therapy Software for Image-guided Focused Ultrasound Research with Integrated Data Curation for Machine Learning and Artificial Intelligence

Focused Ultrasound (FUS) is a therapeutic modality that can concentrate mechanical energy far from its source in just a few cubic millimetres. There is a significant number of studies investigating the use of FUS as a therapeutic option for multiples diseases, with an emphasis on oncology and brain disorders. While machine learning (ML) and artificial intelligence (AI) are becoming compelling research tools in many areas, the use of ML+AI has remained elusive for FUS research.

Development of an efficient coding for CDMA-based passive RFID tags

Radio frequency identification (RFID) is a technology that uses radio frequency to identify and track tags attached to objects. This technology is employed in different industries such as asset tracking, supply chain management, ID badging, etc. Current solutions for object tracking have limited precision, suffer from low performance, and are expensive and complex. In this project, by implementing a technology called code division multiple access (CDMA), we improve the RFID system performance significantly.

Reliability Improvement of Gallium Nitride (GaN) Devices

Gallium Nitride (GaN) semiconductors are more and more being used in switching power devices and the GaN transistors are the promising candidate of next-generation power devices that can substitute Silicon (Si) devices.
However, this young technology suffers from reliability difficulties. The aim of this research work is to contribute to the understanding of the properties of GaN devices. These studies give an understanding of the more complex dynamic instability and static reliability issues of GaN devices which helps manufactures to improve the reliability of GaN transistors.

Fusing Terahertz and MWIR Technologies to Recycle E-waste Black Plastics

The use of both Terahertz and Mid-Wave Infrared scanning with artificial intelligence software to interpret and identify different types of black plastics. Current sorting technology cannot sort black or very dark colored plastics as they have very similar features, and therefore cannot be recycled. To solve this problem a new technique must be established. Each polymer material that interacts with terahertz and MWIR rays have a unique spectral signature.

AI Optimized On-Board Computer for Edge computing in Aerospace Applications

Space systems such as small satellites and rovers operating in earth’s orbit, or more recently in interplanetary missions are starting to utilize the features of Artificial Intelligence (AI) in their designs, to reduce human interactions, minimize error and preserve communication bandwidth. AI in space applications can be seen in service vehicles, autonomous image and signal processing, Earth observation, telecommunication and surveillance.

False Data Injection Attacks on AC Power System State Estimation Using Cosimulation

The secure and reliable operation of an electric power grid is critical to national security. Power grid components such as the state estimator used to monitor the operating state of a power system are subject to cyber-attacks. Previous works show that an intruder can compromise the state estimation by injecting the pre-designed false data into meters without being detected if the detailed knowledge of a transmission grid is known.

Electrical Material Characterization and Non-Destructive Diagnostics on Power Cable Dielectric Materials subjected to Thermal Aging – Phase III

Electric power is almost entirely transmitted through polymer insulated cables or wires in every home, factory, plant, or apparatus. If the temperature of a cable increases, it would be an indication that some accidents or malfunctions such as inflow of excess electric current occur in the cable. The generated heat, indeed, degrades the polymer insulations in cable, thus, making it unsuitable and unsafe for extra service. Therefore, it would be markedly valuable if the thermally-degraded portion in the cable can be located accurately without destroying the cable.