PhD Alumni

Displaying 1 - 50 of 844
Last First Graduation Year Dissertation Advisor(s)
Abdelrazek Ahmed 2020 Adaptive Sampling for Geometric Approximation  David Mount
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
Brubach Brian 2020 Markets, Elections, and Microbes: Data-driven Algorithms from Theory to Practice  Aravind Srinivasan, Mihai Pop
Brubach Brian 2020 Markets, Elections, and Microbes: Data-driven Algorithms from Theory to Practice  Aravind Srinivasan, Mihai Pop
Cepeda Espinoza Victoria 2020 Mihai Pop
Chen Bor-Chun 2020 IMAGE GEOLOCALIZATION AND ITS APPLICATION TO MEDIA FORENSICS  Larry Davis
Dasler Philip 2020 Efficient Algorithms for Coordinated Motion in Shared Spaces  David Mount
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  Hector Corrada Bravo
Huang Samuel 2020 Learning Temporal Properties from Data Streams Rance Cleaveland
Kim Doowon 2020 Understanding of Adversary Behavior and Security Threats in Public Key Infrastructures  Tudor Dumitras
Lentz Matthew 2020 Assurance and Control over Sensitive Data on Personal Devices  Bobby Bhattacharjee
Li Tongyang 2020 Quantum algorithms for machine learning and optimization  Andrew Childs
Mitrokhin Anton 2020 Motion Segmentation and Egomotion Estimation with Event-Based Cameras  John Aloimonos
Najibikohnehshahri Mahyar 2020 Larry Davis
Pachulski Andrew 2020 STRUCTANT: A CONTEXT-AWARE TASK MANAGEMENT FRAMEWORK FOR HETEROGENEOUS COMPUTATIONAL ENVIRONMENTS  Ashok Agrawala
Parker James 2020 Advanced Language-based Techniques for Correct, Secure Networked Systems  Michael Hicks
Patra Sunandita 2020 Acting, Planning, and Learning Using Hierarchical Operational Models  Dana Nau
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
Shafahi Ali 2020 Adversarial Vulnerabilities of Deep Networks and Affordable Robustness  Tom Goldstein
Su Yuan 2020 Algorithms for quantum simulation: design, analysis, implementation, and application  Andrew Childs
Wei Hong 2020 Local News And Event Detection In Twitter  Hanan Samet
Wu Zuxuan 2020 IMAGE AND VIDEO UNDERSTANDING WITH CONSTRAINED RESOURCES  Larry Davis
Xirogiannopoulos Konstantinos 2020 Enabling Graph Analysis Over Relational Databases  Amol Deshpande
Yami Hadi 2020 Fairness Guarantees in Allocation Problems  Mohammad Hajiaghayi
Ayhan Samet 2019 Airspace Planning For Optimal Capacity, Efficiency, And Safety Using Analytics  Hanan Samet
Bengfort Benjamin 2019 Planetary Scale Data Storage  Pete Keleher
Brule Joshua 2019 Causal Programming  James Reggia
Ismail Heba 2019 Ubiquitous Accessibility Digital-Maps for Smart Cities: Principles and Realization  Ashok Agrawala
Koc Ugur 2019 Improving the Usability of Static Analysis Tools Using Machine Learning  Adam Porter
Magen Assaf 2019 Characterization Of Survival Associated Gene Interactions And Lymphocyte Heterogeneity In Cancer 
Manjunatha Varun 2019 Vision And Natural Language For Creative Applications, And Their Analysis  Larry Davis
Memory Alexander 2019 Collective Relational Data Integration with Diverse and Noisy Evidence  Lise Getoor
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
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
Redmiles Elissa 2019 Quality and Inequity in Digital Security Education  Michelle Mazurek
Ren Brianna 2019 Type Checking and Inference for Dynamic Languages  Jeffrey Foster
Renner Alison 2019 Designing for the Human in the Loop: Transparency and Control in Interactive Machine Learning  Jordan Boyd-Graber, Leah Findlater
Renner Alison 2019 Designing for the Human in the Loop: Transparency and Control in Interactive Machine Learning  Jordan Boyd-Graber, Leah Findlater
Vyas Yogarshi 2019 Identifying Semantic Divergences Across Languages  Marine Carpuat
Yousefzadeh Roozbeh 2019 Interpreting Machine Learning Models and Application of Homotopy Methods  Dianne O'Leary
Auslander Noam 2018 Genome Wide Discovery of Disease Modifiers  Eytan Ruppin
Bercea Ioana 2018 Approximation Algorithms for Geometric Clustering and Touring Problems Samir Khuller
Chavan Amit 2018 Delta-based Storage and Querying for Versioned Datasets  Amol Deshpande
De Soham 2018 Fast optimization methods for machine learning, and game-theoretic models of cultural evolution  Tom Goldstein
Du Fan 2018 Explainable Recommendation for Event Sequences: A Visual Analytics Approach  Ben Shneiderman
Hand Emily 2018 Ramalingam Chellappa