Dissertations

2021

Kristian Kime

Insightful Learning Systems: Supporting STEM Education with Accessible Cyberlearning

Long Sha

Efficient Methods in Deep Learning Lifecycle: Representation, Prediction and Model Compression

2020

Maria Altebarmakian

Cohesion in Online, Different Time and Place Collaborative Learning Environments

Nikolaos Tsikoudis

Retrospective Computations over Sets of Snapshots - Design, Implementation and Optimization

Yuchen Zhang

Temporal Dependency Structure Modeling

2019

Complexity in Coevolution and Deep Learning

Turning Machine Learning Inward: Automating Cloud Databases

Robust and Efficient Techniques in Deep Learning with applications in Computer Vision and Language Understanding 

2018

Problem Solving Markov Models and Recursive Pedagogy

Learning to Perform Actions from Demonstrations with Sequential Modeling

Abstract Meaning Representation Parsing

Learning-based Interactive Data Exploration

2017

Monte Carlo Simulation Generation Through Operationalization of Spatial Primitives

Profiling and Quality Assessment of Query Optimizers

Toward a Theory of the Evolution of Modularity Using Sequential-Subtask Environments and Development

Devel-Op: An Optimizer Development Environment