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| Author | Title | Subject | Date | Publication Type | ||
|---|---|---|---|---|---|---|
| 1 |
 |
Aananthakrishnan, Sriram | A composable static analysis framework for program analysis | Computer science; applied sciences; compositional analysis | 2016 | dissertation |
| 2 |
 |
Kerzner, Ethan | A Framework for creative visualization-oppourtunities workshops | Computer science; Connectomics; Creativity; Data visualization; Design study; Workshops | 2019 | dissertation |
| 3 |
 |
Cate, Nolan Randolph | A fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimation | Geography; Computer science; Biomass; Deep learning; Forestry; Machine learning; Neural networks; SAR | 2019 | thesis |
| 4 |
 |
Sacharny, David | A lane-based approach to large-scale unmanned aircraft systems traffic management | Robotics | 2022 | dissertation |
| 5 |
 |
Kumar, Sidharth | A scalable and tunable adaptive resolution parallel i/o framework | File system; HPC; Parallel I/O | 2016 | dissertation |
| 6 |
 |
Muralidharan, Saurav | Abstractions and strategies for adaptive programming | adaptive programming; architecture-adaptive; autotuning; input-adaptive; multiobjective; nested data parallelism | 2016 | dissertation |
| 7 |
 |
Qadir, Ashequl | Acquiring knowledge for affective state recognition in social media | Affective Polarity; Emotion Hashtag; Implicit Property; Natural Language Processing; Simile; Social Media | 2016 | dissertation |
| 8 |
 |
Ding, Haibo | Affective polarity recognition and human needs categorization for affective events | Affective Events; Daily life events; Graph-based models; Human needs; Semi-supervised learning; Sentiment analysis | 2018 | dissertation |
| 9 |
 |
Zheng, Yan | Algorithms and coresets for large-scale kernel smoothing | Computer science | 2017 | dissertation |
| 10 |
 |
Venkat, Anand | An integrated compiler and runtime framework for sparse matrix codes | Compilers; computer architecture; sparse matrix codes | 2016 | dissertation |
| 11 |
 |
Novak, Joseph Herschel | Auto-tuning methods for scaling resources in networks and cloud-based systems | Active queue management; AQM; cloud; miss ratio curves; MRC; scaling | 2019 | dissertation |
| 12 |
 |
Winer, David R. | Automated film direction for computer-generated discourse: planning, scheduling, and execution | Automated planning; cinematography; story generation | 2019 | dissertation |
| 13 |
 |
Zhang, Miaomiao | Bayesian models on manifolds for image registration and statistical shape analysis | Bayesian; Diffeomorphisms; Image registration; Manifolds; Statistical shape analysis | 2016 | dissertation |
| 14 |
 |
Montazerolzohour, Mohammad | Blue noise virtual point lights for global illumination | Computer Graphics; Global Illumination; Rendering; VPL | 2017 | thesis |
| 15 |
 |
Abdullah, Amirali | Bounds for nearest neighbor algorithms and embeddings | Algorithms; Approximation; Bregman divergences; Data structures; Lower bounds | 2016 | dissertation |
| 16 |
 |
Wong, Eleanor | Classification and regression methods for functional brain network analysis | 2021 | dissertation | |
| 17 |
 |
Basu, Protonu | Compiler optimizations and autotuning for stencils and geometric multigrid | Autotuning; Code Generation; Compilers; Geometric Multigrid; Parallel Programming; Stencil Compuations | 2016 | dissertation |
| 18 |
 |
Ying, Jian | Corrected moran's I statistic | 2019 | thesis | |
| 19 |
 |
Duhadway, Linda P. | Course transformation: content, structure and effectiveness analysis | Computer Science Education; Graphical Course Mapping; Interactive Learning Environments; Personalized Learning | 2016 | dissertation |
| 20 |
 |
Redman, Simon | Critical reroute: A practical approach to network flow prioritization using segment routing | 2019 | thesis | |
| 21 |
 |
Perry, Daniel J. | Data analysis and visualization using basis selection for matrix approximation | Computer science | 2017 | dissertation |
| 22 |
 |
Nguyen, Hoa Thanh | Data scalable approach for identifying correlation in large and multidimensional data | Correlation Visualization; Data Scalable visualization; Data Visualization; Multidimensional Data | 2017 | dissertation |
| 23 |
 |
Li, Xiangqi | Debugging with Domain-specific Events via Macros | Computer science | 2017 | dissertation |
| 24 |
 |
Shanmugam, Praveen kumar | Deidtect - distributed elastic intrusion detection architecture | Cloud; Distributed Networking; Networking; Orchestration; SDN | 2016 | thesis |
| 25 |
 |
Raj, Mukund | Depth-based visualizations for ensemble data and graphs | Computer science; Mathematics | 2018 | dissertation |