Announcements

Author: Josh Schmidt Date/Time: November 24th, 2025 at 10am ESTLocation: EGR-2162Committee Members: Title of Thesis: Combined Liquefaction and Extraction of Biocrude Using Supercritical Carbon Dioxide Abstract: The reliance on finite petroleum reserves, coupled with ever-increasing global energy demands, necessitates a concerted effort to develop sustainable liquid fuels. Given the inherent energy density advantage of liquid hydrocarbons, combustion engines will remain […]

Author: Hamed Sobhani Date/Time: November 12th, 2025 at 9:30am ESTLocation: EGR-2164 Committee Members: Title of Dissertation: Modeling Airborne Virus Transmission Risk in a Controlled Exposure Clinical Study Abstract: Airborne transmission of viral aerosols exhaled by infected individuals is a major pathway for the spread of respiratory diseases. To effectively control aerosol transmission, designing and implementing effective air cleaning solutions is essential

Author: Dai-Yan Ji Date/Time: November 10th, 2025 at 11:00AM EST Location: EGR-2164, Glenn Martin Hall Committee Members: Dr. Jay Lee, ChairDr. Nii O. Attoh-Okine, Dean’s RepresentativeDr. Balakumar BalachandranDr. Davis McGregorDr. Peter Sandborn Title of Dissertation: Methodology for Automated Trace Segmentation to Improve Feature Extraction of Time Series Data in Prognostics and Health Management Abstract: In

Author: Rafael MezaDate/Time: November 5th, 2025 at 2:00 PM ESTLocation: EGR-2164 Committee Members: Title: Fiber Optic Sensing of Strain and Temperature for Structures in a Hypersonic Flow Abstract: Research into multi-sensor fiber Bragg grating networks has the potential to benefit aircraft health monitoring systems. The overall goal of this thesis research is to demonstrate that FBG sensors can be used

Author: Mehdi Dadfarnia Date/Time: October 30TH, 2025 at 3:00 PM ESTLocation: 1117 Clark Memorial Conference Room (limited seating) | Zoom(Code: 541012) Committee Members: Title of Dissertation:  Approaches to Evaluate Condition Monitoring-Based Technologies for Manufacturing Maintenance and Risk Management Abstract: Emerging advancements in artificial intelligence (AI) and the internet of things (IoT) create new opportunities for improving manufacturing system performance. Maintenance plays a

Author: Murilo NicoluzziDate/Time: October 27th, 2025 at 3:30 PM ESTLocation: Martin Hall, Rm. 2164 Committee Members: Title of Dissertation: Air-Cooled Heat Sink for an Electric-Propulsion Aircraft Application Based on the Manifold-Minichannel Concept Abstract: The growing demand for efficient thermal management in high-power electric propulsion systems has driven the exploration of innovative cooling solutions for aircraft applications. This research investigates the feasibility of

Author: Alejandro JimenezDate/Time: October 16th, 2025 at 2:00 PM ESTLocation: EGR-0151, Glenn L. Martin Hall Committee Members: Title of Dissertation: Evaluating the Risk Trade-Offs of Pressure Relief Devices in Hydrogen Systems Abstract: Hydrogen is increasingly being used as an energy carrier because of its potential to reduce carbon emissions in transportation and heavy industry. Nevertheless, this transition necessitates establishing an infrastructure

Author: Joy ShenDate/Time: October 2nd, 2025 at 12:30 PM ESTLocation: EGR-1179, Glenn L. Martin Hall Committee Members: Title of Dissertation:  A Monte Carlo Augmented Bayesian Network Approach to External Flood Probabilistic Risk Assessments Abstract: Nuclear power plant (NPP) sites are vulnerable to external flooding, which can impact the safe operation and shutdown of reactors. Flood protection features mitigate flood

Author: Samarpan Chakraborty Date/Time: September 24th, 2025 at 2:00 PM ESTLocation: EGR-3164, Glenn L. Martin Hall | Zoom Committee Members: Title of Dissertation: PHYSICS-BASED AND DATA-DRIVEN INVESTIGATIONS INTO RAPID WAVE FORMATIONS IN OCEANS Abstract: attached

Author: Raashiq Ishraaq Date/Time: September 15th, 2025 at 1:00 PM ESTLocation: ERF-1207, IREAP Committee Members: Title of Dissertation: Atomistic Description of Cationic Polyelectrolyte Brushes Using Molecular Simulations and Machine Learning Abstract:  Densely grafted polymer and polyelectrolyte (PE) brushes, owing to their significant abilities to functionalize surfaces for a plethora of applications such as sensing, diagnostics, current rectification, surface-wettability