Dissertation Defenses

A Comprehensive Computational Model of PRIMs Theory for Task-Independent Procedural Learning

Developing Trustworthy Hardware with Security-Driven Design & Verification

Sample efficient learning and generalization with text representations

On Learning Neural End-to-End Goal-Oriented Dialog Systems

Datacenter Architectures for the Microservices Era

Evaluating and Improving Internet Load Balancing with Large-Scale Latency Measurements

Improving the Generalization Performance of Deep Learning Models Applied to Clinical Time Series by Addressing Task Specific Structure

Expanding Task Diversity in Explanation-Based Interactive Task Learning

Computational Modeling and Design of Financial Markets: Towards Manipulation-Resistant and Expressive Markets

Streaming Architectures for Medical Image Reconstruction

A Holistic Solution for Reliability of 3D Parallel Systems

Leveraging Longitudinal Data for Personalized Prediction and Word Representations

Software Model Checking with Uninterpreted Functions

Design Optimization of In-Vehicle Network

Algebraic Frameworks for Cryptographic Primitives

Automatic Quantification and Prediction of Affect in Spoken Interactions

Models and Algorithms for Human Action Understanding

Customized Systems of Deep Neural Networks for Energy Efficiency

Efficiency in Machine Learning with Focus on Deep Learning and Recommender Systems

Election Security is Harder Than You Think

Enabling and Improving Centralized Control in Network and Cyber-Physical Systems: An Application-Driven Approach

Towards the First Practical Applications of Quantum Computers

Interactional Slingshots: Providing Support Structure to User Interactions in Hybrid Intelligence Systems

Understanding and Improving the Performance of Web Page Loads

Machine Learning for Physiological Time Series: Representing and Controlling Blood Glucose for Diabetes Management

Understanding Word Embedding Stability Across Languages and Applications