Dissertation Defenses

Enabling Usable and Performant Trusted Execution

Thermal and QoS-Aware Embedded Systems

Estimation of Information Measures and Applications in Machine Learning

Multimodal Character Representation for Visual Story Understanding

Learning Hierarchical Compositional Task Definitions through Online Situated Interactive Language Instruction

Demographic-Aware Natural Language Processing

Efficient Deep Neural Network Computation on Processors

Addressing Variability in Speech when Recognizing Emotion and Mood In-the-Wild

Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms

Energy Efficient Algorithms in Low-Energy Wireless Sensor Networks

Rethinking Context Management of Data Parallel Processors in an Era of Irregular Computing

Towards a More Predictable Database System

Building and Querying Structured Knowledge Sources from Natural Language Text

Its Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management

Reducing Redundant Computation and Data in Non-deterministic Systems by Exploiting the Computation-data Duality

Requirements Testing and Verification for Smart Systems through Systematic Software Analysis

Dynamics and Social Networks

Design of Sequential Stochastic Computing Systems

High Availability Localization and Mapping

Classical Computation in the Quantum World

Preventing Capability Abuse through Systematic Analysis of Exposed Interfaces

Cross-Layer System Design for Autonomous Driving

Locality of Distributed Graph Problems

Computational Linguistic Models for Personal Values and Human Activities

Enabling Fairness in Cloud Computing Infrastructures

Visual Recognition and Synthesis of Human-Object Interactions