Development of a new conductive carbon ink for printed sensors for smart diapers

Urinary incontinence has been always a tedious and a distressing health problem, especially for elderly people in nursing home residents. To address this issue, an effective management system is highly required to enhance the quality care, prevent health issues, and reduce labor costs. This project is focusing to develop a flexible and wearable sensor based on carbon nanomaterials. The final product, in addition to the sensor, consists Wi-FI module and app.

Augmented Guidance Navigation and Control for Unmanned Aerial Vehicles

Sense and Avoid is a capability that is required by Unmanned Aerial Vehicles (UAV) to ensure that they do not enter into collision with other manned and unmanned aircraft. Obstacle avoidance of stationary objects is an important first step toward building Sense and Avoid systems. For stationary objects, after the object has been detected and its location has been determined, it is necessary to plan a path around the object, using a path planner, a key component of obstacle avoidance.

Electrochemical Fischer-Tropsch Synthesis of Renewable Liquid Fuels from CO2

Despite a rapid decline of electricity costs, there is still demand for energy-dense liquid fuels, such as in heavy freight and air transportation. Liquid fuels can be synthesized from a mixture of carbon monoxide and hydrogen called synthesis gas (syngas). However, this process requires high temperatures and pressures, and is itself responsible for significant greenhouse gas emissions. We propose the use of electrocatalysis to produce these liquid fuels.

Machine learning towards intelligent steel refining processes

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from the raw data stream acquired by the industrial sensors.

A method to reduce floating ground effect on wearable Electrocardiography (ECG) sensors

Heart’s electrical activities are traditionally collected by employing multiple electrodes that are connected the patient’s body and collected and recorded on an electrocardiogram. The objective of this project is to enhance the patient’s comfort and allow for a continues ECG monitoring with improved flexibility while minimizing the sacrifices of detected and accumulated data. In this proposal an unconventional method is suggested that employs physically separated sensors and circuits to enhance patient comfort and allows for a better flexibility.

Classification of radiological observation through image-sentence association

Imagia is an AI-driven personalized healthcare company, enabling collaborative development of predictive biomarkers. Its Evidens platform unites deep learning expertise and clinical insights on federated patient data from partnered hospitals & AI research institutions. Imagia delivers impactful solutions to healthcare providers, pharmaceutical companies and medical device manufacturers.

Quality Assessment and Enhancement of Retinal Images – Part 2

Babies who are born prematurely are at risk of developing a condition called Retinopathy of Prematurity (RoP), which if left untreated, can lead to permanent blindness. RoP causes characteristic changes in the retinal vascu-lature, which can be seen when looking into the eye. Because the infants need to be monitored regularly for this condition, and certain traits need to be carefully identified, a special camera is used to take a picture of the retina. These pictures can then be studied for signs of RoP by an ophthalmologist.

Ultra-reliable and low-latency communication for industrial use case

Ultra-reliable and low latency communication is increasingly an important aspect of future wireless communications. Specifically, in the context of mission critical communications for large-scale networks of sensors and actuators in automated and/or remote-control applications, low-latency wireless communication with high level of determinism is a vital element. The key performance indicators for such use case are in sharp contrast to the current broadband communications, since latency and reliability are paramount but lower data rates can be tolerated.

Automatic Delineation of Seismocardiogram and Gyrocardiogram Signals

The project aims at accomplishing the real-time delineation of both Seismocardiogram and Gyrocardiogram signals (which are associated with different stages of the cardiovascular cycle) and effectively extracting cardiac performance metrics (fiducial points) for use in a non-invasive portable diagnostic tool as the deviations of the either timing or amplitude can be indicative of abnormality in heart performance.

Analysis and Optimization of NOMA in Smart Grid Applications

The proposed research aims to find a solution to the connectivity of the massive number of devices that are essential for the monitoring and regulation of power generation and demands in power grids. Power grids present specific challenges that the intern will take into consideration and seek to propose solutions to the connectivity and security of these devices. Hence, the proposed research will contribute to the efficient implementation and optimization of two-way communications capabilities in power grids.