PhD Defenses

Circuits & Techniques for Cell-based Analog Design Automation of Low Dropout Regulators

Compute- and Process-in-Memory Modules for Machine Learning and Neuromorphic Computing

Coding Theory and Sketching for Distributed Optimization

Circuits and Techniques for Digital Frequency Synthesizers and Design Automation.

Next Generation Terahertz Systems using Nonlinear Phenomena

Novel flexible neural interfaces: intracortical reconfigurable multimodal origami probe and intrafascicular microneedle electrode array

Advanced Techniques for Spectral & Temporal Ultrashort Pulse Synthesis in Coherent Pulse Stacking Amplification

Exciton transport properties and devices

Investigation of p-type Oxide Semiconductor Thin Film Transistors for Complementary Metal Oxide Semiconductor Technologies

Robust Wireless Communications for Low Power Short Message Internet-of-Things Applications

Learning, Control, and Reduction for Markov Jump Systems

Monolithic Microscale Gas Chromatographs with Integrated Gas Pumps

Exploiting Reconfiguration and Co-Design for Domain-Agnostic Hardware Acceleration

Energy-Efficient Mixed-Signal Circuits and Systems for Communication and Signal Processing

Energy-Efficient Low-Power Mm-Scale Wireless Communication System

Scalable Algorithms Using Optimization on Orthogonal Matrix Manifolds

A Novel Multistatic SAR for Subsurface Imaging: Detection and Localization of Buried Pipelines and Leaks

Energy-efficient Circuits and Systems for Intelligent Edge Devices

Energy-Efficient Circuits and Systems for Powering, Sensing and Actuating the Motions in Internet of Things.

Magnetic Field Dynamics and Shock Physics at the High Intensity Frontier of Laser Plasma Interactions

Hybrid Method for Full-wave Simulations of Vegetation

Optical Refrigeration of Crystals Doped with Yb3+ and Ti3+ Ions

Fast Algorithms for Long-Range Wave Propagation over Complex Terrain

Pressure Sensing Microsystems for Energy Industry Applications

Er:ZBLAN Fiber-based Ultra-short Pulse Generation, Amplification and Wavelength Tuning in Mid-IR and LWIR

Common-Aperture Dual-Polarized Transceiver Antenna Systems for Millimeter-Wave Polarimetric Radar

Safe End-to-end Learning-based Robot Autonomy via Integrated Perception, Planning, and Control

Low-Power Low-Error Wireless Sensor Network for Health and Usage Monitoring Systems

Phenomenological Study of Radar Scattering at High Millimeter-Wave Frequencies in Support of Autonomous Vehicles

High Energy Pulse Amplification in Mid-IR Range Using Er:ZBLAN Fibers

Correct-by-Construction Control Adaptation against Sensing, Model, and Information Uncertainty

3D Scene Understanding with Deep Learning

Energy Efficient Integrated Circuits and Systems for Communication and Sensing: RF to Optical

Magnetic Resonance Imaging: Myelin Water Imaging and Model-Based Image Reconstruction

Compression and Curriculum Strategies for Efficient Learning in Deep Neural Networks

Engineering Excitonic Properties in van der Waals Solids Using Strain

Classification via Multiple Hyperplanes: Loss functions, Overparametrization, and Interpolation

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