Currently, elite athletes and their coaches rely on the subjective self-awareness and measurement of muscle force, heart rate, and the amount of blood lactic acid level to monitor body fitness and athletic performance. These methods, however, are not ideal and always reliable due to subjective errors, technological limitations and individual confounding factors that limit the […]

Biba is a company that creates interactive experiences for families on playgrounds and provides data for playground owners. This research project explores how can we leverage third party data sources and machine learning to confidently determine how many people are in a playground at a given time and how long they spent there. This kind […]

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 […]

With an increasing concern toward social isolation and loneliness issues in society, there is growing interest in social initiatives aiming to enhance social connectedness within communities. To make such efforts sustainable, the next step would be to evaluate their effectiveness to develop evidence-based practices. The goal of this project is to build a reliable assessment […]

A central venous catheter (CVC) is a thin, silicone tube that a doctor may insert into the vein of a patient to deliver medications directly into their bloodstream. If the patient does not need constant medication, nurses fill the CVC with salt water to keep the tube open. This is called ‘locking’ the CVC. Because […]

As glaciers retreat, the reduction in area available for melting ultimately causes declines in summer streamflow. In addition, evaporation from newly formed lakes and evapotranspiration from vegetation establishment on deglaciated areas would act to further reduce summer streamflow. However, these latter processes have received little attention to date. The objective of the project is to […]

As glaciers retreat, the reduction in area available for melting ultimately causes declines in summer streamflow. In addition, evaporation from newly formed lakes and evapotranspiration from vegetation establishment on deglaciated areas would act to further reduce summer streamflow. However, these latter processes have received little attention to date. The objective of the project is to […]

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 […]

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This […]

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This […]

New biopesticides products development usually incurs high cost and high risk for clean tech companies. R&D resource allocation is challenging. There are difficulties with technical/market uncertainty and with evaluating the potential contributions of technological investments to firm specific intangible assets. Technology portfolio management (TPM) is a dynamic decision process in which new development projects are […]

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]