Haiqu Inc. focuses on building a quantum software stack enabling more efficient development and execution of quantum applications on near-term and early fault tolerant quantum computers. Simulations of quantum chemistry and condensed matter models are one of the primary early uses cases for quantum processors (QPUs), with benefits for chemistry and materials science. Important open […]

This project will train the intern in using artificial intelligence (AI) and computer vision to improve aircraft tracking in airports. Specifically, the intern will work on automating the measurement of the Runway Occupancy Time (ROT) in aircraft, reducing the need for manual tracking and increasing accuracy. The project involves designing a multi-camera system to track […]

The project’s goal is to investigate the use of a 2D reduced graphene oxide (rGO) based microfluidic channel driven electrochemical biosensor to detect AMI biomarkers. The device could be able to identify heart attacks before they happen. Therefore, it may be beneficial to reduce the enormous number of deaths brought on by this illness worldwide. […]

This research project seeks to develop the Ultrasonic-Electrical Concrete Assessment Method, an innovative approach for early detection of micro-cracks in concrete structures within nuclear power plants. These micro-cracks can compromise the structural integrity of concrete, increasing vulnerability to damage and potentially affecting safety and performance. By integrating advanced technologies—including ultrasonic waves, electrical measurements, thermal imaging, […]

Many organizations feel unsatisfied with the results of leadership training programs. To tackle this problem, this research project explores new ways to make leader training more engaging and effective. Drawing on theories about human motivation and self-views, the project tests three different intentions to improve leader training. The first study investigates whether focusing on personal […]

Waste heat boilers provide an important function in many industries, taking hot process flows and cooling them down while at the same time creating valuable steam which can be used to save power in other parts of the plant. This project will use Computational Multiphysics Simulations (CMS) to model the inner workings of these important […]

In this project, the effective life of advanced Li-ion batteries will be assessed using experimental tools and predictive modeling. Li-ion batteries have emerged as an alternative source of energy on-board cars, i.e., electric vehicles (EVs). Unlike internal combustion engine (ICE) vehicles, EVs suffer from performance degradation over driving and idle time posing limitations on their […]

Shape memory alloys (SMAs) are metallic alloys which can undergo deformation and return to their original form when heated above their characteristic transformation temperature. Due to their unique properties, SMAs have found use in the aerospace, robotics, biomedical, and automotive industries, among others. Traditional SMAs are limited to one distinct transformation temperature per individual component, […]

The intern’s study builds on an international survey previously completed in partnership with ICLEI. The study aims to test key structural features in the partnerships for implementing community sustainability plans and how these features are related to plan outcomes (i.e., sustainability progress). To study structure features, the intern will test key factors, such as partner […]

There is no memorandum project overview associated with this application.

There is no memorandum project overview associated with this application.

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system. The University of […]