PhD Alumni

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Displaying 801 - 850 of 948
Last First Graduation Year Dissertation Advisor(s)
Rao Jinfeng 2018 Temporal Context Modeling for Text Streams  Jimmy Lin
Schulze Christoph 2018 Model-Based Testing of Off-Nominal Behaviors 
Salem Mohammed 2018 Sparse Representations and Feature Learning for Image Set Classification and Correspondence Estimation 
Redmiles Elissa 2019 Quality and Inequity in Digital Security Education  Michelle Mazurek
Ren Brianna 2019 Type Checking and Inference for Dynamic Languages  Jeffrey Foster
Ayhan Samet 2019 Airspace Planning For Optimal Capacity, Efficiency, And Safety Using Analytics  Hanan Samet
Renner Alison 2019 Designing for the Human in the Loop: Transparency and Control in Interactive Machine Learning  Jordan Boyd-Graber
Bengfort Benjamin 2019 Planetary Scale Data Storage  Pete Keleher
Ismail Heba 2019 Ubiquitous Accessibility Digital-Maps for Smart Cities: Principles and Realization  Ashok Agrawala
Renner Alison 2019 Designing for the Human in the Loop: Transparency and Control in Interactive Machine Learning  Jordan Boyd-Graber
Brule Joshua 2019 Causal Programming  James Reggia
Magen Assaf 2019 Characterization Of Survival Associated Gene Interactions And Lymphocyte Heterogeneity In Cancer 
Koc Ugur 2019 Improving the Usability of Static Analysis Tools Using Machine Learning  Adam Porter
Manjunatha Varun 2019 Vision And Natural Language For Creative Applications, And Their Analysis  Larry Davis
Peng Shangfu 2019 High-Throughput Network Distance Computations for Spatial Analytics Inside Any Store  Hanan Samet
Rao Sudha 2019 Teaching Machines to Ask Useful Clarification Questions  Hal Daumé III
Memory Alexander 2019 Collective Relational Data Integration with Diverse and Noisy Evidence  Lise Getoor
Vyas Yogarshi 2019 Identifying Semantic Divergences Across Languages  Marine Carpuat
Nguyen Phuc 2019 Higher-order Symbolic Execution  David Van Horn
Niu Xing 2019 Formality Style Transfer Within and Across Languages with Limited Supervision  Marine Carpuat
Yousefzadeh Roozbeh 2019 Interpreting Machine Learning Models and Application of Homotopy Methods  Dianne O'Leary
Gao Mingfei 2020 Improving Efficiency for Object Detection and Temporal Modeling for Action Localization  Larry Davis
Geunady Mohamed 2020 Applications of Graph Segmentation Algorithms For Quantitative Genomic Analyses 
Huang Samuel 2020 Learning Temporal Properties from Data Streams
Sharaf Amr 2020 Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms  Hal Daumé III
Ghosh Pallabi 2020 SCENE AND ACTION UNDERSTANDING USING CONTEXT AND KNOWLEDGE SHARING  Larry Davis
Kim Doowon 2020 Understanding of Adversary Behavior and Security Threats in Public Key Infrastructures  Tudor Dumitras
Sarkar Hirak 2020 Computational approaches for improving the accuracy and efficiency of RNA-seq analysis  Rob Patro
Schumann Candice 2020 Exploring Diversity and Fairness in Machine Learning  John Dickerson
Yang Sheng 2020 ON SCHEDULING AND COMMUNICATION ISSUES IN DATA CENTERS  Samir Khuller
Lentz Matthew 2020 Assurance and Control over Sensitive Data on Personal Devices  Bobby Bhattacharjee
Shafahi Ali 2020 Adversarial Vulnerabilities of Deep Networks and Affordable Robustness  Tom Goldstein
Meng Xiaoxu 2020 Enhancing Visual and Gestural Fidelity for Effective Virtual Environments  Amitabh Varshney
Li Tongyang 2020 Quantum algorithms for machine learning and optimization  Andrew Childs
Su Yuan 2020 Algorithms for quantum simulation: design, analysis, implementation, and application  Andrew Childs
Kang Seokbin 2020 AUGMENTED REALITY SYSTEMS AND USER INTERACTION TECHNIQUES FOR STEM LEARNING  David Jacobs
Votipka Daniel 2020 A Human-Centric Approach to Software Vulnerability Discovery  Michelle Mazurek
Abdelrazek Ahmed 2020 Adaptive Sampling for Geometric Approximation  David Mount
Mitrokhin Anton 2020 Motion Segmentation and Egomotion Estimation with Event-Based Cameras  John Aloimonos
Wei Hong 2020 Local News And Event Detection In Twitter  Hanan Samet
Litton James 2020 Composing and Decomposing OS Abstractions  Bobby Bhattacharjee
Almodaresi Fatemehalsadat 2020 ALGORITHMS AND DATA STRUCTURES FOR INDEXING, QUERYING, AND ANALYZING LARGE COLLECTIONS OF SEQUENCING DATA IN THE PRESENCE OR ABSENCE OF A REFERENCE  Rob Patro
Najibikohnehshahri Mahyar 2020 Larry Davis
Wu Zuxuan 2020 IMAGE AND VIDEO UNDERSTANDING WITH CONSTRAINED RESOURCES  Larry Davis
Ondov Brian 2020 Revealing Perceptual Proxies in Comparative Data Visualization  Niklas Elmqvist
Brubach Brian 2020 Markets, Elections, and Microbes: Data-driven Algorithms from Theory to Practice  Aravind Srinivasan, Mihai Pop
Xirogiannopoulos Konstantinos 2020 Enabling Graph Analysis Over Relational Databases  Amol Deshpande
Brubach Brian 2020 Markets, Elections, and Microbes: Data-driven Algorithms from Theory to Practice  Aravind Srinivasan, Mihai Pop
Yami Hadi 2020 Fairness Guarantees in Allocation Problems  Mohammad Hajiaghayi
Cepeda Espinoza Victoria 2020 Mihai Pop