PhD Defenses

Adaptive Regularization for Inverse Problems in Imaging

Adaptive Regularization for Inverse Problems in Imaging

Spatially-Discrete Traveling-Wave Modulated Electromagnetic Structures

Ga2O3-Based Devices for High Power Switching Applications

Coding and Multi-User Schemes for Future Wireless Networks

How Students and Algorithms Learn to Filter: Investigating Students’ Understanding of Signal Processing Concepts and Bilevel Methods for Learning Filters for Image Reconstruction

In Silico Tools for Investigating the Performance of Breast Cancer Imaging Technologies

Control, Modeling, and Design Towards Higher Performance Energy Systems

Cylindrical Vector Beam Generation Using Spatially-Dispersive, Mode-Converting Metasurfaces

Design of High-Performance Antennas and Novel Electromagnetic Radiation Measurement Techniques for Biological Cells

Scalable Architectures for High Frequency and Very High Frequency Wireless Power Transfer

Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification

Analog Coding: Theory and Applications

High Resolution ADCs for Acoustic Processing and Other Applications

Neural Network Implementations on Analog In-Memory-Computing Fabric

Design and Applications of Super-Continuum Lasers and Time-of-Flight Camera in Spectroscopy and Healthcare

Efficient Deep Learning Accelerator Architectures by Model Compression and Data Orchestration

High-Efficiency Al(Ga)N Ultraviolet Optoelectronics and Integrated Photonics

Key Generation and Secure Coding in Communications and Private Learning

Towards Improving Deep Vision and Language Navigation

Learning to Optimize: Applications in Physical Designs and Manufacturing

Energy-Efficient and Robust Wireless Connectivity and Sensing Solutions for the Internet of Things

Design Techniques for Energy-Efficient and Scalable Machine Learning Accelerators

Algorithm-Architecture Co-Design for Domain-Specific Accelerators