Theses/Dissertations from 2021
A Neuromorphic Machine Learning Framework based on the Growth Transform Dynamical System, Ahana Gangopadhyay
Foundations for the Coupled Inflow and Structural Dynamics of Multi-rotor Helicopters, Ethan Genter
Constructing and Analyzing Neural Network Dynamics for Information Objectives and Working Memory, Elham Ghazizadeh Ahsaei
Multifunctional Polydopamine Nanomaterials for Biomedical and Environmental Applications, Hamed Gholami Derami
Understanding a Role for Synovium in Intra-Articular Drug Clearance: A Computational and Experimental Approach, Young Guang
Improving additional adversarial robustness for classification, Michael Guo
Mechanisms for Osteoblast and Osteocyte Initiation and Sustainment of Bone Formation in Young-Adult and Aged Mice, Taylor Lynn Harris
Mechanics of Catheter Herniation, Chase Hartquist
Development of Radiochemical Quality Control Methods for Ra-223 and Th-227 Radiotherapies, Abigail Hasson
Deep learning for automatic microscopy image analysis, Shenghua He
Attachment of fibrous materials in nature and surgical repair, Ethan Daniel Hoppe
Effects of tendon viscoelasticity on the distribution of forces across sutures in a model tendon-to-bone repair, Yuxuan Huang
Control Flow Integrity for Real-time Embedded Systems, Yuqian Huo
Optimizing Biomaterials for iPSC-Derived Engineered Heart Tissue Models, Huanzhu Jiang
Mapping Transcription Factor Networks and Elucidating Their Biological Determinants, Yiming Kang
Understanding and Improving Adult Stem Cells for Cartilage Tissue Engineering, Dakota Katz
Theory, Design and Implementation of Energy-Efficient Biotelemetry using Ultrasound Imaging, Sri Harsha Kondapalli
Nanoscale Enhancement of Photosensitized Radionuclide Stimulated Therapy, Daniel Douglas Lane
Photoacoustic imaging of colorectal cancer and ovarian cancer, Xiandong Leng
Predicting Patient Outcomes with Machine Learning for Diverse Health Data, Dingwen Li
Real-Time Virtualization and Coordination for Edge Computing, Haoran Li
Multiprincipal Element Alloy Development via High-throughput Experiments, Mu Li
Regularized Coordinate-based Neural Representation Learning for Optical Tomography, Renhao Liu