PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
Cao Yang 2024 Towards Effective And Inclusive Ai: Aligning Ai Systems With User Needs And Stakeholder Values Across Diverse Contexts  Hal Daumé III
Chen Ray 2024 Advancing The State Of Auto-Tuning With Programming Languages  Jeffrey K. Hollingsworth
Chen Shuhong 2024 Ml For Anime: Illustration, Animation, And 3D Characters  Matthias Zwicker
Dhami Harnaik 2024 Planning And Perception For Unmanned Aerial Vehicles In Object And Environmental Monitoring  Pratap Tokekar
Evanusa Matthew 2024 Dynamical Memory In Deep Neural Networks -  John Aloimonos
Girish Sharath 2024 Everything Efficient All At Once - Compressing Data And Deep Networks  Abhinav Shrivastava
Glaeser Noemi 2024 Practical Cryptography For Blockchains: Secure Protocols With Minimal Trust  Jonathan Katz
Giulio Malavolta
He Bo 2024 Towards Effective Temporal Modeling For Video Understanding  Abhinav Shrivastava
Herlihy Christine 2024 Algorithmic Decision-Making And Model Evaluation In Socially Consequential Domains  John Dickerson
Hoyle Alexander 2024 Developing And Measuring Latent Constructs In Text  Philip Resnik
Hsiao Vincent 2024 An Approximation Framework For Large-Scale Spatial Games  Dana Nau
Hu Zhengmian 2024 Understanding And Enhancing Machine Learning Models With Theoretical Foundations  Heng Huang
Jabbireddy Susmija 2024 Efficient Rendering, Display, And Compression Techniques For Virtual And Augmented Reality  Amitabh Varshney
Johnson Richard 2024 Hybrid-Pgas Memory Hierarchy For Next Generation Hpc Systems  Jeffrey K. Hollingsworth
Kalibhat Neha 2024 Interpreting Visual Representations And Mitigating Their Failures  Soheil Feizi
Kaplitz Emily 2024 Implementing Universal Design To Support Neurodivergent Students In Undergraduate Introductory Computer Science Classes  David Weintrop
Katz Yehuda 2024 Analytics Of Configuration Management For System Administration  Ashok Agrawala
Kazemi Tabaie Zavare Seyed 2024 Interpretability Of Deep Models Across Different Architectures And Modalities  Tom Goldstein
Kong Kezhi 2024 Towards Generalized And Scalable Machine Learning On Structured Data  Tom Goldstein
Li David 2024 Towards Immersive Streaming For Videos And Light Fields  Amitabh Varshney
Li Ruoxi 2024 Automating Hierarchical Task Network Learning  Dana Nau
Mark Roberts
Lichy Daniel 2024 Advanced Techniques For Reconstructing Objects And Scenes From Variations In Lighting And Viewpoint  David Jacobs
Luan Tu 2024 Improving And Validating Computational Algorithms For The Assembly, Clustering, And Taxonomic Classification Of Microbial Communities  Mihai Pop
Maynord Michael 2024 Feedback For Vision  John Aloimonos
Cornelia Fermüller
Mishra Shlok 2024 Self Supervised Learning On Large Scale Datasets  David Jacobs
Muralidharan Harihara 2024 Data-Driven Algorithms For Characterizing Structural Variation In Metagenomic Data  Mihai Pop
Nanda Vedant 2024 Foundations Of Trustworthy Deep Learning: Fairness, Robustness, And Explainability  John Dickerson
Krishna Gummadi
Nguyen Ethan 2024 High Performance Distributed Transactions For Multi-Region Database Systems  Daniel Abadi
Ni Renkun 2024 Improving Model And Data Efficiency For Deep Learning  Tom Goldstein
Peng Yuxiang 2024 Theoretical And Practical High-Assurance Software Tools For Quantum Applications  Xiaodi Wu
Pham Khoi 2024 Recognizing Object-Centric Attributes And Relations  Abhinav Shrivastava
Qiao Yiling 2024 Machine Learning With Differentiable Physics Priors  Ming Lin
Rabbani Tahseen 2024 Efficient Models And Learning Strategies For Resource-Constrained Systems  Furong Huang
Rosenberg Michael 2024 Zero-Knowledge Proofs For Programmable Anonymity, Moderation, And Reputation  Ian Miers, Jonathan Katz
Rosenberg Michael 2024 Zero-Knowledge Proofs For Programmable Anonymity, Moderation, And Reputation  Ian Miers, Jonathan Katz
Saini Nirat 2024 Object-Attribute Compositionality For Visual Understanding  Abhinav Shrivastava
Sharma Vishnu 2024 Enhanced Robot Planning And Perception Through Environment Prediction  Pratap Tokekar
Shin Sungbok 2024 Simulation, Representation, And Automation: Human-Centered Artificial Intelligence For Augmenting Visualization Design  Niklas Elmqvist
Shrestha Snehesh 2024 Ai Empowered Music Education  John Aloimonos
Cornelia Fermüller
Shrivastava Gaurav 2024 Diverse Video Generation  Abhinav Shrivastava
Shu Manli 2024 Towards Trustworthy Machine Learning Systems  Tom Goldstein
Song Chujun 2024 Enhancing Modern Query Federation Systems: Execution Optimization, Performance Prediction, And Systems Assessment  Daniel Abadi
Suri Saksham 2024 Supervision And Data Dynamics In Vision Across Recognition And Generation Landscapes  Abhinav Shrivastava
Tu Peihan 2024 Repetitive Patterns In Digital Images: Raster Analysis And Vector Synthesis  Matthias Zwicker
Warford Noel 2024 Real-World Security For At-Risk Users  Michelle Mazurek
Williams Niall 2024 Computational Methods For Natural Walking In Virtual Reality  Dinesh Manocha
Xian Wenhan 2024 Efficient Optimization Algorithms For Nonconvex Machine Learning Problems  Heng Huang
Agrawal Sweta 2023 COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION  Marine Carpuat
Akgul Omer 2023 Characterizing And Improving Mental Models Of Secure Communication Tools  Michelle Mazurek
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard