- Jul 2910:00 AMDoctoral Dissertation Oral Defense of Aniket WahaneDevelopment of nanoformulations and bioconjugates for RNA-based therapeutics
- Jul 292:00 PMANSC MS Defense: Mr. Gopi YalavarthiANSC MS Defense: Mr. Gopi YalavarthiDate: 07/29/2024Time: 2:00 PM - 3:00 PMLocation: George White Building, Room 115 (York)If you require an accommodation to participate in this event, please contact Dr. Jenifer Nadeau at 860-486-4471 (tel:+18604864471) orjenifer.nadeau@uconn.edu (mailto:jenifer.nadeau@uconn.edu)at least 5 days in advance of the seminar
- Jul 3011:00 AMDoctoral Dissertation Oral Defense of Ashkan NovinDoctoral Dissertation Oral Defense of Ashkan Novin Title: Why does cancer metastasize in humans and not cows? Department: Biomedical Engineering Department
- Jul 3011:00 AMDoctoral Dissertation Oral Defense of Elise TavernaTitle: "Autism-Relevant Skills and Behaviors in Neurogenetic Syndromes" Field of study: Clinical Psychology
- Jul 3012:00 PMDoctoral Dissertation Oral Defense of Alia PughThe Effects of a Running Glossary and Morphological Family Size on Academic Word Learning in Middle School Students, a doctoral dissertation from the Department of Educational Psychology.
- Jul 301:00 PMANSC MS Defense: Mr. Nicholas BarnelloANSC MS Defense: Mr. Nicholas BarnelloDate: 07/30/2024Time: 1:00 PM - 2:00 PMLocation: George White Building, Room 115 (York)If you require an accommodation to participate in this event, please contact Dr. Kristen Govoni at 860-486-2919 (tel:+18604862919) orkristen.govoni@uconn.edu (mailto:kristen.govoni@uconn.edu)at least 5 days in advance of the seminar
- Jul 301:30 PMDoctoral Dissertation Oral Defense of Zihan WangDesign, Performance Evaluation and Uncertainty Analysis of Metamaterials School of Mechanical, Aerospace, and Manufacturing Engineering Abstract: Mechanical metamaterials are artificial structures that possess exceptional mechanical properties that are not naturally occurring. The complex geometrical and topological features of these metamaterials pose significant challenges to metamaterial-related research questions. Therefore, methodologies are proposed for solving three key research questions regarding metamaterial: design of metamaterial units, metamaterial units' performance evaluation, and uncertainty analysis of the complex topological structures. In the area of design metamaterial unit, deep generative model-based design frameworks are proposed for the design of metamaterial units, where deep learning models are used as feature extractor to extract the complex topological features from metamaterial units to a low-dimensional latent feature space. The latent feature space is linked by supervised learning models to the metamaterial units' performance metrics (mechanical properties, manufacturability metrics, etc.). Inverse design optimization is then performed for obtaining optimal metamaterial units with desired performance. In this dissertation, four kinds of metamaterials are designed: 2D phononic metamaterials, 3D metamaterials considering manufacturability, 3D connectivity-guaranteed porous metamaterials, and metamaterials designed with uncertainty considerations. For predicting the properties of metamaterials, deep learning models are developed to solve the structure-property relationship, leveraging their capability to handle high-dimensional, nonlinear mappings. However, real-world engineering applications often face the challenge of limited data, where traditional data-driven deep learning models may fall short. To overcome this, physics-embedded deep learning models are proposed, addressing the small data issue by incorporating physical principles. These models demonstrate superior performance compared to conventional deep learning approaches. In terms of manufacturing uncertainty analysis, the dissertation first introduces methods for quantitatively representing aleatoric uncertainty in network-like topological structures. This representation method is then extended to any topological structures using the shortest-path distance. Machine learning techniques are employed to mitigate input uncertainties in complex topologies, enhancing the efficiency of uncertainty quantification. Additionally, uncertainty propagation methods are proposed to trace aleatoric uncertainties through metamaterial systems. The proposed methodologies are validated through examples, highlighting their benefits. Overall, this dissertation provides insights into the design and manufacturing of metamaterial units.
- Jul 319:30 AMPhysics-Informed Data Analytics for Stochastic Power System Parameter Estimation, Risk and Stability Assessment with Inverter-based ResourcesDissertation title: Physics-Informed Data Analytics for Stochastic Power System Parameter Estimation, Risk and Stability Assessment with Inverter-based Resources Doctoral field of study: Electrical Engineering
- Jul 3111:00 AMDoctoral Dissertation Oral Defense of Nellie AmosiTitle of dissertation: Analysis of Vulnerability and Risks Associated with Climate Extremes and Cyclones in Southern Africa: Malawi and Mozambique Field of study: Natural Resources and the Environment
- Jul 3111:00 AMDoctoral Dissertation Oral Defense of Nellie AmosiAnalysis of Vulnerability and Risks Associated with Climate Extremes and Cyclones in Southern Africa: Malawi and Mozambique Department of Natural Resources and the Environment
- Aug 110:00 AMDoctoral Dissertation Oral Defense of Michael DavinoStrong-field Physics from Atoms to Nanoparticles: Department of Physics PhD Defense
- Aug 11:00 PMDoctoral Dissertation Oral Defense of Jennifer PupekDNP Final Presentation: Recognizing Loneliness in Long Term Care Residents: An Educational Module Intervention Study
- Aug 12:00 PMDoctoral Dissertation Oral Defense of Chenbo ShiTitle: Trust in Optimization Solutions, Power Grid Resilience, and Crowdfunding Dynamics Field of study: PhD Business Administration
- Aug 21:00 PMDoctoral Dissertation Oral Defense of Emily JacksonCultural variation in parental ethnotheories on early childhood language development and disorders: Exploring Hispanic and non-Hispanic parents' perspectives. Department of Speech, Language, and Hearing Sciences.
- Aug 22:00 PMDoctoral Dissertation Oral Defense of Madison Mas"Tailoring Online Interventions to the Queer and Trans Community: Feasibility and Acceptability of an Online Mindfulness Based Intervention " Human Development and Family Sciences
- Aug 61:30 PMDoctoral Dissertation Oral Defense of Jinsoon ChoPolicy and Women in South Korea Labor Market Jinsoon Cho Department of Economics
- Aug 82:00 PMDoctoral Dissertation Oral Defense of Nidhi VijayanExploring phylosymbiosis in cephalopods and host factors regulating bacterial symbioses in the Hawaiian bobtail squid
- Aug 141:00 PMDoctoral Dissertation Oral Defense of Casey CariniDNP Final Presentation: Mindfulness in Nursing Education: A Quality Improvement Project to Enhance Student Well-Being