Individuals’ mood can change on a moment-to-moment basis. Understanding and predicating changes in mood, however, is difficult. A Canadian technology company, called UpBeing, has developed a mobile app to help collect data on mood (among other data) multiple times in a given day. The proposed study will use cutting-edge machine learning techniques and data provided […]

The objective of this project is to develop an automatic data analysis tool that allows users to query datasets using a natural language interface. The project aims to incorporate external knowledge sources via knowledge graph integration, thereby enhancing the accuracy of the analysis. The knowledge augmentation will be reference based using REALM or Toolformer inspired […]

Our project involves the use of robotic arms with six movable joints. Utilizing Inverse Kinematics, we will program the arm to figure out how to position each joint to reach specific points, offering flexibility in handling tasks. Through motion planning, we will design paths that the arm can follow to move from one point to […]

The project aims to improve the matching process in health research projects by leveraging machine learning and textual interpretation. It focuses on accurately connecting research projects, community organizations, and participants. The project addresses challenges such as diversity and inclusion by interpreting metrics, generating synthetic participant profiles, and utilizing NLP techniques for label association. By creating […]

While energy conservation in the home is an important part of reducing our ecological footprint most people do not understand or even realize how their energy consumption works and how they can manage it. In-home displays offer the opportunity to help become more aware, but often do not fit into a home’s aesthetics, typically relegated […]

Face-to-face communication provides substantial benefits over traditional remote communication via video and voice: the expressivity of body language, spatial grounding in a common physical space, access to physical tools and objects, and much more. For many collaborative tasks, face-to-face communication is considered indispensable, yet meeting in person can be rendered infeasible by any number of […]

Several popular OT security frameworks have been developed to help organizations protect their critical infrastructure and industrial control systems from cyber threats. Two of the most popular standards include ISA/IEC 62443 (formerly ISA 99) and NIST SP 800-82 Rev.2 (ICS Security Guide). The purpose of this project is to use an existing OT infrastructure to […]

This project aims to enhance the accuracy of identifying health issues in chest X-ray images. The team will develop a specialized tool, known as a “chest-tube detection model”, which will initially examine all X-rays to identify cases where patients have already received medical assistance, making it unnecessary to flag these cases. Subsequently, the remaining X-rays […]

FluidPlanet.org produces and publishes digital twins (virtual versions of real places) for academic, educational and enterprise use. By combining the latest technologies in mapping (GIS), sensors (IoT) and visualization (gaming), we create realistic looking and behaving simulations of real locations. These can then be populated with virtual people, animals and buildings to tell stories that […]

Metabolomics is the study of the complete set of small molecules in the human body. Analyzing metabolomic and biometric data is critical in order to detect, predict, and simulate changes in the health conditions of a patient, providing the opportunity for preventive and personalized medicine. This is generally done using machine learning, but it is […]

This project involves assisting with Digital Identity Transformation Programs by conducting business requirements gathering and cybersecurity assessments. The main focus is on implementing top-tier identity solutions to enhance identity and access management (IAM). The research objectives include developing IAM assessments to evaluate the current state of IAM within client organizations. This will inform the development […]

The precise management of the state of polarization of the light that is generated and all-optically processed within a photonic integrated chip (PIC) is of utmost relevance towards the conception of polarization-independent photonic integrated systems. This proposal aims to conduct an assessment of various design options of polarization converters for the specific application mandated by […]