The 20th Annual Research Open House was held Thursday, April 20, 2023 at the Seamans Center for the Engineering Arts and Sciences

Over 100 research posters were displayed and judged on the following criteria:

  • scientific method
  • clear communication of the significance of the results
  • student presentation
  • poster design

Graduate Student:

Kaleb Bierstedt
Development of a Trachea-on-a-Chip Device to Model Airway Physiology

Undergraduate Student:

Maggie Yadlosky
UCL Protector - A Way to Prevent Skier's Thumb

Graduate Student (tie):

Hossein Zare
In Vivo Investigation of Thermal Shock on Pseudomonas aeruginosa Biofilms

Graduate Student (tie):

Riannon Smith Development of Sprayable Thermoreversible Hydrogels as Topical Treatments for Skin Wounds

Undergraduate Student:

Lane Swartzendruber & Braden Jensen
Feasibility of Hydrogen Fuel Cell Buses Versus Electric Buses

Graduate Student:

Yazeed Alabbad
A Web-based Framework for Optimizing Road Network Accessibility and Location During Flooding

Undergraduate Student:

Bryanna Popejoy
Effects of Ni(II) and Zn(II) substitution on goethite redox potentials

Graduate Student:

Daniel Keefe
Optical and Bioheat FEM Modeling of Neurosurgical Near-Infrared Laser Interstitial Thermal Therapy

Undergraduate Student:

Xavier Uhrmacher
Optical Fiber Integrated Surgical Balloons: Identifying Bend Loss Characteristics of Mid-Infrared Laser Coupled Fibers

Graduate Student:

Christopher Wenger
Shielding the Skite: Strategies for protecting fighter aircraft integrated with Machine Learning Systems

Graduate Student:

Jacob Fuhrmeister
Characterization of the microstructure of high-performance rocket propellants

Undergraduate Student:

Katie Vaiciulis
The Effect of Ankle Center of Rotation Location on Ankle-Foot Orthosis Stiffness

1st Place: Ranabir Saha

Reduced Order Chemical Decomposition Model to Study the Sensitivity of Energetic Materials

2nd Place: Winter Philibert

The Duality of NADPH: Improving MCT in Individuals with PCD

3rd Place: Mahmudul Alam Shakib

Memory properties of Geopolymer-based Artificial Synapses