PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
Patkar Sushant 2021 Fantastic Sources Of Tumor Heterogeneity And How To Characterize Them  Soheil Feizi
Taha Ahmed 2021 Closing the Gap Between Classification and Retrieval Models  Larry Davis
Fu Hong Hao 2021 THE MEMBERSHIP PROBLEM FOR CONSTANT-SIZED QUANTUM CORRELATIONS IS UNDECIDABLE  Andrew Childs
Ahmadi Saba 2021 Social Aspects of Algorithms: Fairness, Diversity, and Resilience to Strategic Behavior  Samir Khuller
Robinson Wells 2021 Computational methods for the identification of mutation signatures and intracellular microbes in cancer  Max Leiserson
Gong Huijing 2021 Improved Robustness and Versatility of Lattice-Based Cryptography  Dana Dachman-Soled
Sun Xuetong 2021 Towards Effective Displays for Virtual and Augmented Reality Amitabh Varshney
Shah Nidhi 2021 Data-driven algorithms for characterizing microbial communities  Mihai Pop
Stevens Rock 2021 Optimizing Proactive Measures for Security Operations  Michelle Mazurek
Votipka Daniel 2020 A Human-Centric Approach to Software Vulnerability Discovery  Michelle Mazurek
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
Abdelrazek Ahmed 2020 Adaptive Sampling for Geometric Approximation  David Mount
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
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
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
Brubach Brian 2020 Markets, Elections, and Microbes: Data-driven Algorithms from Theory to Practice  Aravind Srinivasan, Mihai Pop
Pachulski Andrew 2020 STRUCTANT: A CONTEXT-AWARE TASK MANAGEMENT FRAMEWORK FOR HETEROGENEOUS COMPUTATIONAL ENVIRONMENTS  Ashok Agrawala
Cepeda Espinoza Victoria 2020 Mihai Pop
Parker James 2020 Advanced Language-based Techniques for Correct, Secure Networked Systems  Michael Hicks
Chen Bor-Chun 2020 IMAGE GEOLOCALIZATION AND ITS APPLICATION TO MEDIA FORENSICS  Larry Davis
Patra Sunandita 2020 Acting, Planning, and Learning Using Hierarchical Operational Models  Dana Nau
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
Sharaf Amr 2020 Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms  Hal Daumé III
Huang Samuel 2020 Learning Temporal Properties from Data Streams Rance Cleaveland
Ghosh Pallabi 2020 SCENE AND ACTION UNDERSTANDING USING CONTEXT AND KNOWLEDGE SHARING  Larry Davis
Sarkar Hirak 2020 Computational approaches for improving the accuracy and efficiency of RNA-seq analysis  Rob Patro
Kim Doowon 2020 Understanding of Adversary Behavior and Security Threats in Public Key Infrastructures  Tudor Dumitras
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
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
Lentz Matthew 2020 Assurance and Control over Sensitive Data on Personal Devices  Bobby Bhattacharjee
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
Li Tongyang 2020 Quantum algorithms for machine learning and optimization  Andrew Childs
Memory Alexander 2019 Collective Relational Data Integration with Diverse and Noisy Evidence  Lise Getoor
Vyas Yogarshi 2019 Identifying Semantic Divergences Across Languages  Marine Carpuat
Rao Sudha 2019 Teaching Machines to Ask Useful Clarification Questions  Hal Daumé III
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
Redmiles Elissa 2019 Quality and Inequity in Digital Security Education  Michelle Mazurek