Upcoming Events

    https://events.uconn.edu/live/json/v2/events/response_fields/location,summary/date_format/%25F%20%25j,%20%25Y/group/Graduate School/group/Graduate School - Theses and Dissertation Defense/max/4/start_date/today/end_date/6 months/
  • Nov
    20
    FRAME Contest: Deadline Extended!
    ALL DAY

    The Office of the Vice President for Research (OVPR) is launching the first annual Featured Research Art & Media Exhibit (FRAME) Contest — and we want your research on our walls.

  • Nov
    20
    Learning-based Cyber–Physical Framework for Distribution System State Estimation and Event Analytics
    ITE Building
    9:30 AM

    Doctoral Dissertation Oral Defense of Jinxian Zhang (Electrical & Computer Engineering).
    Learning-based Cyber–Physical Framework for Distribution System State Estimation and Event Analytics — integrating multi-fidelity learning, Bayesian inference, and spatio-temporal AI for robust, interpretable, and secure power-grid operation.

  • Nov
    20
    Doctoral Dissertation Oral Defense of Yidan Zhang
    Advanced Technology Laboratory
    10:00 AM

    Green Biorefinery of Alginate from Sugar Kelp for Food Packaging
    Department of Nutritional Sciences

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  • Doctoral Dissertation Oral Defense of Yolanda Carlton
    DNP student Yolanda Carlton presenting her final project: “Piloting the Master Preceptor Model: An Innovative Approach to Supporting new Graduate Nurses.”
  • Learning-based Cyber–Physical Framework for Distribution System State Estimation and Event Analytics
    This dissertation defense presents a unified, learning-based framework that enhances the accuracy, robustness, and interpretability of Distribution System State Estimation (DSSE) and cyber–physical event analytics. The research develops multi-fidelity framework for uncertainty-aware state estimation and spatio-temporal deep learning architectures for detecting, classifying, and localizing cyberattacks and physical events. Validation on IEEE benchmark feeders and a […]
  • Doctoral Dissertation Oral Defense of Yidan Zhang
    In this work, conventional seaweed biorefining was first improved through the use of green solvents and food-grade chemicals, replacing harsh reagents and simplifying downstream purification. Building on this foundation, a one-step reactive extrusion extraction (REE) method was established, enabling scalable, equipment-efficient conversion of whole seaweed biomass into alginate-rich extracts while retaining insoluble cellulose fractions in […]
  • Doctoral Dissertation Oral Defense of Christina Matousek
    DNP student Christina Matousek presenting “From Novice to Target: Reducing Ambulatory New Graduate Nurse Bullying, A Quality Improvement Project.”
  • Doctoral Dissertation Oral Defense of Mahjabeen Fatema Mitu
  • Doctoral Dissertation Oral Defense of Ryan A. Davis
    DNP student Ryan A. Davis presenting her final dissertation: “Engaging CRNA’s in Advocacy: A Digital Campaign for Licensure in New York, A Health Policy Project.”
  • Doctoral Dissertation Oral Defense of Patrick Krecidlo
    DNP student Patrick Krecidlo presenting their final dissertation: “Emerging Nurse Leader Development Program: Impact of Charge Nurse Leadership Development Program on the Self Efficacy and Engagement of Charge Nurses.”
  • Doctoral Dissertation Oral Defense of Brandon Kulak
    DNP student Brandon Kulak presenting their final dissertation: “Emerging Nurse Leader Development Program: Impact of Charge Nurse Leadership Development Program on the Self Efficacy and Engagement of Charge Nurses.”
  • Doctoral Dissertation Oral Defense of Franco Gigliotti
    Franco Gigliotti from the Department of Ecology and Evolutionary Biology will be defending his PhD dissertation titled ‘Population Status and Implications of Salt Marsh Restoration for a Threatened Breeding Bird Community’.
  • Doctoral Dissertation Oral Defense of Serzat Safaltin
    Serzat Safaltin, PhD candidate in Materials Science at the University of Connecticut, will defend his doctoral dissertation before his advisory committee and the university community. The dissertation “First-Principles Dopant Engineering of Functional Properties in Aluminum Scandium Nitride” presents a comprehensive computational framework using density functional theory to systematically engineer aluminum scandium nitride (AlScN) for next-generation […]