Dissertation Defense

Name: Towards Enhanced Human-AI Interaction: A Holistic Approach to Personalization in Natural Language Processing
Start: 2024-12-03T18:00:00-05:00
End: 2024-12-03T20:00:00-05:00
Location: 3725 Beyster Building

Events
Dissertation Defense

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Events

On Improving Robustness of Deep Neural Networks for Computer Vision

Improving Web Automation Tools through UI Context and Demonstration

Aligning Objectives of Machine Learning with Clinical Care

Exploiting Structure in Safety Control

Design and Implementation of Domain-Specific Programmable Spatial Accelerators

Monolithic integration and advancement of micro-gas chromatography – from components to systems and from 1D to 2D

Human-Centered Natural Language Processing for Countering Misinformation

Optimization of Direct Laser Acceleration and the Characterization of Scintillators for Proton Imaging

Data-driven Solutions for Blood Glucose Management

Electromagnetic modeling for the active and passive remote sensing of polar ice sheet and for Signal of Opportunity (SoOp) land observation

Solving Poisson Inverse Problems in Phase Retrieval and Single Photon Emission Computerized Tomography

Advances in Image Reconstruction for Digital Breast Tomosynthesis

Neural Network Implementations on Titled In-Memory-Computing Systems

Geometric Effects in Radiative Heat Transfer

Optical Resonators for Photoacoustic Applications

Exploring In-Context Reinforcement Learning

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

Systems and Debugging Supports for Hardware Designs

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

Artificial Intelligence Algorithms for Large Economic and Computer Games

Towards Query Processing in Video Database Management Systems

Design Techniques for Scalable Fully Integrated CMOS Digital Beamforming Receivers

Learning Visual Representations from Cross-Modal Correspondence

Language Supervision for Computer Vision

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

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

Improving Select Applications of Long-Read DNA Sequencing

Enabling Direct Bluetooth-WiFi Communications

Understanding understanding: How do we reason about computational logic?

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

Hardware-Software Co-design for Reliable and Efficient Heterogeneous Systems

Global and Longitudinal Investigation of Network Connection Tampering

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

A Strategic Agent-Based Analysis of Economic and Technological Changes in Financial Networks

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

Machine Learning Approaches for Quantitative Analysis and Characterization of Pathological Speech Disorders

Learning Representations for Efficient Exploration and Goal-Conditioned Reinforcement Learning

Towards Clinically Applicable Reinforcement Learning

Characterizing and Improving Next-Generation Network Infrastructures and Applications

Towards Video Understanding through Language in Real-life Settings

Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily

Transforming Disfluency Detection: Integrating Large Language and Acoustic Models

Predicting the Timing of Clinical Outcomes in the Presence of Multiple Events and Noisy Labels

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

Optimizing Graph Applications Through Graph Sparsification and Accelerator Design

Interpretability, Controllability, and Expressivity in the Age of Language Models

Quality of Service for Performance-Critical Cloud Applications

Enabling Robot Arm Motion with Multiple Objectives Through Agent Representation and Reasoning

Three Lenses on Improving Programmer Productivity: From Anecdote to Evidence

Learning to Interact with the 3D World

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

Reconstructing Full 3D Geometry and Interaction Dynamics from Real World data

Combating Randomness: Towards Efficient Data-Intensive Applications Using Software-Hardware Co-Design

Coherent Physical Commonsense Reasoning in Foundational Language Models

Novel Sensing Approach for Shoulder Kinematics – Exploring Kirigami-Inspired Sensing and Machine Learning Platforms for At-Home Joint Monitoring