Posts categorized 3. Programs Archive

The Smart Hip Broaching System is a device intended to collect data on impaction force and rotational movements during the broaching process in total hip arthroplasty (THA). The system will provide live feedback of this data and guide the orthopedic surgeon toward optimal placement of the femoral stem during surgery.

The JungleCup is a small, portable, and weather-proof device that can operate in various Costa Rican environments that attracts and traps mosquitoes to determine the prevalence of dengue virus.

Our project is to design an alternative device or system that removes orthopedic casts and is less scary than the current cast saw device.

Our project aims to design an improved neonatal CPAP mask that reduces the amount of pressure exerted on the neonate’s delicate skin and detects air leakage at the mask-neonate interface.

A device aiming to prevent peripheral nerve damage during surgery and simplify operating room procedures.

A device to improve the quality of life of individuals suffering from neurogenic bowel.

Our device uses accelerometers to detect unassisted bed-exit motion to prevent falls in hospitals.

Our team is focusing on creating a tamper-evident device that will protect the access port of all vascular access. Our device is also meant to reduce central line bloodstream infections (CLABSI) associated with intentional and unintentional tampering.

Investigation and analysis of creating mirror fields to deflect the primary electron beam with charged materials. Electron mirrors produce a fisheye view of the interior of the SEM sample chamber.

Improving closed-loop wavefront correction speed for primate retinal imaging.

Probability distributions of work and entropy of a qubit engine powered by simultaneous weak quantum measurements.

In this thesis, we numerically and analytically analyzed the superposition of multiple paraxial plane waves and discovered the pattern of such superpositions composing FP fields.

Improving silicon photomultiplier bandwidth for fast, low-signal applications.

Determining where best to locate estimate phase screens when correcting volume turbulence through post-processing

Two-Color Nonlocal Aberration Cancellation is one of the many exciting applications of quantum entanglement. In this experiment we create position-momentum entangled photons via SPDC.

We designed an optical system for a NASA ROSES proposal. The system would be housed within a CubeSat and study Zodiacal light.

The simulation will model the output characteristics as light travels through the fiber, giving a rare look at a otherwise inaccessible areas of the fiber.

Our goal is to use existing tools and our optical knowledge to build a simulation tool that carries out a rigorous optical analysis and simulates the imaging of a satellite at a range of distances, attitudes, and illumination angles.

Have you heard of an AR coating without actually coating any materials while working for a wide bandwidth from UV to IR? That is the nanostructure coating.

We designed an interactive and educational imaging system. The guest will be able to project an image onto a screen.

Team Rachel Chan Zihao Li Sinabu Pumulo Mentor Brandon Zimmerman Abstract The Clear Eye Test is a virtual eye prescription platform that measures refractive error of the eye with a…

Venturing into the fully reflective design space to find a wide angle telescopic design that is parallax corrected so that they can be tiled to capture a much higher field of view.

A novel surgical caliper to measure the width of the facet joint during a laminectomy.

The Portico Laminoplasty Fixation System allows surgeons to perform open-door laminoplasty using only one fastener.

An improved training model for endoscopic saphenous vein harvesting.​

A method to capture calcium debris in order to limit stroke incidence.

A minimally invasive instrument designed to increase fusion rates in percutaneous spinal fusions.

A device to collect an adequately sized bone biopsy sample on the first try.

Mesh deployment device used during laparoscopic procedures to prevent hernia

Successfully built autoencoder models with ML Flow and Keras to predict truck failures given sensor data for a fuel optimization startup called Vnomics. The model is optimized by comprehensive time series feature engineering with TS Fresh to achieve a high recall score of 56% on unseen data.