Doctoral field of study: Electrical Engineering Dissertation title: Utilization of Memristor Analytical Model for Device Emulation in Neural Networks: Exploring Degradation Dynamics and Performance Mitigation Strategies

Dissertation Defense: Educational Psychology, Learning Sciences Program (formerly Cognition, Instruction & Learning Technology) Social Cognitive System of Feedback after an Oral Performance Task: A Study of the Impact of Web-based Video Annotated and Threaded Feedback on Oral Speaking Proficiency and Speaking Self-efficacy for English Language Acquisition Students

Defense of the thesis "Bone growth driven design of patient-specific porous implant". School of Mechanical, Aerospace and Manufacturing Engineering Covers the computational optimization of porous structures such as scaffolds and implants for the maximization of bone growth.

3D Printing Food with Targeted Nutrition and Tunable Texture 3D printing, or additive manufacturing, has seen an explosion of methods and use cases. 3D printing is well suited for mass customization of food products with targeted nutrition and tunable texture. This work focuses on leveraging BJT (Binder jet 3D Printing) to produce personalized foods with varying texture and micro-nutrient amounts.

Mitigating Climate Change: Cross-National Variation in Policy Ambitions Field of Study: Political Science

Functionalization of Gold Nanoparticles for Applications in Chemical and Biological Sensors