PhD Defenses

Optical Resonators for Photoacoustic Applications

Advances in Myelin Water Imaging and Stack-of-Spirals MRI: Image Reconstruction and Parameter Estimation

Arrayed Integrated Photoionization Detectors for Highly Integrated Microscale Gas Chromatography Systems

On the Importance of Inherent Structural Properties for Learning in Markov Decision Processes

Multifunctional Ferroelectrics based Devices for Next Generation RF Front-ends

High-Performance Process-in-Memory Architectures Design and Security Analysis

Design Techniques for Scalable Fully Integrated CMOS Digital Beamforming Receivers

Power-Efficient Neural Interface Circuits for Multi-Channel Deep-Brain Opto-Electrophysiology

Low-Power RF Integrated Circuit Receivers: Phase Noise Cancelling, Cellular IoT, and QAM/OFDM Techniques

Improving Articulated Pose Tracking and Contact Force Estimation for Qualitative Assessment of Human Actions

Deep Signal Compression with Feature Representation Learning

Privacy and Utility in Dynamic Systems: Verification and Enforcement

Technological and Computational Approaches for Large Count High-Density Neural Probes

Next-generation Michigan Probes: Flexible and Multi-color micro-LED Optoelectrodes

Narrowband Localization Circuits and Systems

Modeling and Mitigating Side Channels in Optical and Embedded Sensing Systems

Sequential Learning for Nanophotonics Inverse Design

Exploiting mm-Wave and Terahertz Bands for Ultra-Wideband Communication and Sensing

Antennas and Dielectric Characterization Techniques for Future Automotive Communications and Driving Assistance Systems

Coordination among Strategic Agents with Asymmetric Information

Responsible Machine Learning: Fairness and Information Protection

Hardware-Software Co-design of Sustainable AI: Neuromorphic Computing and Beyond

Compute- and Processing-in-Memory Modules for Machine Learning on Plaintext and Ciphertext

Aggregation of Thermostatically Controlled Loads for Fast Power System Services: From Theory to Practice

Overcoming the Limitations of Si-CMOS and Von Neumann Architectures by Adopting beyond-Si devices and Near-memory Computation

Advanced Image Reconstruction and Sampling Pattern Optimization in Silent MRI

Safe Coordination of Thermostatically Controlled Loads for Grid Services

Cooperation for Better Competition: Group Formation Among Strategic Decision Makers

Domain-Specific Acceleration: From Efficient Vision Processing Hardware to High-Performance Quantum Computing Software

Machine Learning Meets Analog Circuit Design: Intelligent Automation of IC Design

In-Pixel Processing and In-Memory Computing in CMOS Image Sensors for Augmented Reality

Tactile Sensing Based on Gallium Nitride Light-Emitting Diodes

Nanoscale and Alloy Engineering of III-Nitride Semiconductors for High-Efficiency Solar Photocatalysis and Optoelectronics

Growth and Characterization of Ultra-wide Bandgap III-N by Plasma-Assisted Molecular Beam Epitaxy

Understanding and Identifying Challenges in Design of Safety-Critical AI Systems

Toward Effective Neural Architectures and Algorithms for Generalizable Deep Learning

Arbitrary Field Transformations Using Practical Cylindrical Metasurfaces

Towards Calibrated, Sharp, and Interpretable Probabilistic Prediction

Sequential Decision Making in Cooperative Multi-Agent Systems with Constraints

Long-term Super Resolution on Cellular Dynamics Enabled by Phase Intensity Nanoscopy

Toward High Performance, Power Efficient Brain-Machine Interfaces

Enhancing Energy Efficiency in Intelligent Edge Systems through Hardware-Algorithm Co-design

Deep Learning Models for Visual and Interoceptive Neural Processing

Application of Photoacoustic and Multimodality Imaging in Biomarker Detection

Reliable and Adaptive Sensor Localization and Wireless Communications using Deep Learning

Modeling and Control of Electric Loads for Ancillary Services and Decarbonization

Decarbonizing Power System: The Roles of Wind Power and Energy Storage in Phasing out Fossil Fuels