2018 award recipients

All 2018 project submissions

First place

eDrive Wheelchair Conversion Kit -  Power wheelchairs are cost prohibitive and bulky. Existing conversion kits cost around $1,000. The eDrive Wheelchair Conversion can convert a manual wheelchair into a power wheelchair forsignificantly less with equivalent functionality.

Student: Anthony Bertucci, Hana Bagomaan, Russell Charles, John Toth
Department: Mechanical Engineering
Advisor: Dr. Golam Newaz


 

Third place

Developing Patient-specific Vascular Grafts from Adipose-derived Stem Cells - In order to produce patient-specific vascular grafts  Differentiation of Adipose-derived Stem Cells into Fibroblasts for use in Tissue Engineered Ring Constructs     Differentiation of Adipose-derived stem cells (ASC's) into fibroblasts is a crucial first step in validating the ASC's potential for being used as a patient-specific source of stem cells for a vessel construct graft. Lower Fetal Bovine Serum (FBS) concentration and added Platelet-derived Growth Factor (PDGF) are factors known to induce differentiation into fibroblasts.

Student: Ashley Apil
Department: Biomedical Engineering
Advisor: Dr. Mai T. Lam

 

Best app

Car Pool- mobile app that matches users with similar commutes to coordinate ride sharing, compensate drivers and process payments.

Students: Muamer Besic, Evan Clifford, Omer Khan, Matthew Prigorac
Advisors: Khayyam Hashmi, Sam Bryfczynski

 

 

Second place

Development of Sorption Technology for Extracting Rare Earth Elements from Coal Fly Ash - Develop a 3-step process to: (1) dissolve fly ash to solubilize the REEs, (2) concentrate the dissolved REEs using advanced sorption materials developed at WSU, and (3) back-extract the sorbed metals to provide an industrial feedstock enriched in REEs. 

Student: Bilal Syed
Department: Civil and Environmental Engineering
Advisor: Timmothy Dittrich

 

Third place

Portable Weather Station - Weather conditions can be difficult to accurately track for remote locations and very specific areas. Our client, the Department of Defense, is often in areas without readily available weather data. This data is extremely important for the day to day activities of the military. We have created a lightweight weather station that will grab data from the local area and send it to a website where the data can then be viewed.

Students: Brandon Jackson, Brian Atiyeh, Trevor Malarkey, Jeswanth Kodali
Department: Computer Science
Advisors: Khayyam Hashmi and Sam Bryfczynski

 

 

Best video

Underwater Artifact Location Using Artificial Intelligence and Virtual Reality- A predictive model that replicates ancient Lake Huron landscapes and inhabitants to map experiences of hunters to assist archaeologists in their field work.

Students: Thomas Palazzolo, Samuel Dustin Stanley, Paul Janiczek, Angela Allen, Olubukola Akintoroye, Bailey Walker
Department: Computer Science
Advisor: Dr. Robert Reynolds