Agricultural Anomaly Detection using Temporal Dynamics of Remote Sensing Data

This project is about using artificial intelligence to interpret agricultural remote sensing data. We will develop new means to integrate repeated imagery data of targeted agricultural fields to pinpoint agronomically significant anomalies (e.g., water or nutrient stress, crop pathology, weeds, etc.) and provide field managers easy to follow recommendations guiding development of the most cost […]

Read More
Detecting and Mitigating Adversarial Attacks on Covid-19 Monitoring Solutions

COVID-19 outbreak has changed the world and forced majority of the population to lockdown and isolation. With the lockdowns easing, and things returning to the new normal, it is important to follow the isolation protocols such as social distancing and wearing of masks for containing the outbreak. While there is no denying the efficacy of […]

Read More
Evolutionarily guided rational design of vaccines, antibody therapeutics, and accurate serological assays for COVID-19

Efforts to contain the spread of COVID-19 have failed and we face an ongoing pandemic that has already infected millions of people world-wide. There are currently no drugs or vaccines that have been approved for the treatment of COVID-19, and existing blood tests for immunity suffer from inaccuracies. Moreover, since antibody or vaccine development can […]

Read More
Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool […]

Read More
Assessing and Identifying Indoor environmental Quality Gaps in Commercial Buildings using Wireless sensors and Big Data Analysis Tools

This project’s objective is to create a proprietary digital platform which will allow for a faster, more accurate diagnosis of a building’s indoor environmental quality (IEQ) – at a fraction of the cost of today’s industry testing rates. The project aims to ensure that data being collected can be properly categorized and analyzed, creating a […]

Read More
Hand Pose Reconstruction with Advanced Sensor And Deep Learning

This project explores 3D pose hand reconstruction using machine learning models with sensor data from innovative input devices. The goal is to propose an approach that provides real-time high fidelity hand reconstruction and understand how users perceive its quality to improve user experience and social interaction in AR/VR. The proposed methodology is to train a […]

Read More
Controlling the Recoil of .50 Calibre Sniper Rifle

A novel approach is taken to reduce vibration through the design of a passive smart device with the use of magnetic actuators. In the proposed device, magnets are arranged in a particular alignment, so as to attenuate the resulting vibrations from the explosion at the moment of firing. The device has shown to be effective […]

Read More
Tuktu – Peer to Peer Elderly Caregiving platform

As the world gets smaller, the distance between families grows larger. An increasing number of people are living far away from their loved ones, either in another city or in a different country altogether. Many leave behind their parents and other elderly relatives, with the distance making it next to impossible to provide support for […]

Read More
Small and Medium Enterprises in a Covid19 context: Ecosystem business intelligence for increased resilience

Covid 19 has deeply disrupted supply chains. Companies face profoundly changing consumer demand, the elimination of entire subsectors of industries due to forced closures, or individual suppliers due to bankruptcy or temporary plant closures due to COVID19 outbreaks. In this environment, continued operations and continued profitability depends on company’s ability to obtain real time information […]

Read More
Uplift pipe-soil interaction under inclined ground surface

It is crucial to understand soil-pipeline interaction to be able to design buried pipes against Geohazards. Soil-pipe interaction in the level ground is well established, and the current design practice is based on the assumption that a pipe is installed on a flat ground surface. In reality, however, pipelines often cross natural slopes and sometimes […]

Read More