PhD Alumni

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Displaying 51 - 100 of 948
Last First Graduation Year Dissertation Advisor(s)
Ghiasi Mohammad Amin 2022 ROBUSTNESS AND UNDERSTANDABILITY OF DEEP MODELS  Tom Goldstein
Goldberg Matthew David 2022 Time-Situated Metacognitive Agency and Other Aspects of Commonsense Reasoning  Don Perlis
Hietala Kesha 2022 A Verified Software Toolchain for Quantum Programming  Michael Hicks
Ismail Aya Abdelsalam 2022 Interpretable Deep Learning for Time Series  Soheil Feizi
Javkar Kiran Gajanan 2022 Algorithms for scalable and efficient population genomics and metagenomics  Mihai Pop
Lan Shiyi 2022 Object Detection and Instance Segmentation for Real-world Applications  Larry Davis
Lee Kyungjun 2022 Egocentric Vision in Assistive Technologies For and By the Blind  Hernisa Kacorri
Li Hengduo 2022 Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding  Larry Davis
Liao Gang 2022 The Evolution of Cloud Data Architectures: Storage, Compute, and Migration  Daniel Abadi
Meshry Moustafa Mahmoud 2022 Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis  Abhinav Shrivastava, Larry Davis
Meshry Moustafa Mahmoud 2022 Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis  Abhinav Shrivastava, Larry Davis
Nguyen Khanh Xuan 2022 ENRICHING COMMUNICATION BETWEEN HUMANS AND AI AGENTS  Hal Daumé III
Peskov Denis 2022 Gathering Natural Language Processing Data Using Experts  Jordan Boyd-Graber
Singhal Swati 2022 A FLEXIBLE APPROACH FOR ORCHESTRATING ADAPTIVE SCIENTIFIC WORKFLOWS FOR SCALABLE COMPUTING  Alan Sussman
Suryan Varun 2022 Efficient Environment Sensing and Learning for Mobile Robots  Pratap Tokekar
Sweet Ian Nicholas 2022 Language-Based Techniques for Secure Programming  Michael Hicks
Tang Zhenyu 2022 Efficient Acoustic Simulation for Learning-based Virtual and Real-World Audio Processing  Dinesh Manocha
Tsepenekas Leonidas 2022 On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning  Aravind Srinivasan
Yadav Abhay Kumar 2022 IMPROVED TRAINING OF DEEP NETWORKS FOR COMPUTER VISION  David Jacobs
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava
Yuan Michelle 2022 Transfer Learning in Natural Language Processing through Interactive Feedback  Jordan Boyd-Graber
Zeng Zehua 2022 A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms  Leilani Battle
Zhao Chen 2022 TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING  Jordan Boyd-Graber, Hal Daumé III
Zhao Chen 2022 TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING  Jordan Boyd-Graber, Hal Daumé III
Zhu Chen 2022 Towards Reliable and Efficient Representation Learning  Tom Goldstein
Ahmadi Saba 2021 Social Aspects of Algorithms: Fairness, Diversity, and Resilience to Strategic Behavior  Samir Khuller
Feng Shi 2021 Towards Human-AI Cooperation on Sequential Decision Making Problems  Jordan Boyd-Graber
Fu Hong Hao 2021 THE MEMBERSHIP PROBLEM FOR CONSTANT-SIZED QUANTUM CORRELATIONS IS UNDECIDABLE  Andrew Childs
Gong Huijing 2021 Improved Robustness and Versatility of Lattice-Based Cryptography  Dana Dachman-Soled
Hong Jonggi 2021 Exploring Blind and Sighted Users‚Äö√Ñ√¥ Interactions With Error-Prone Speech and Image Recognition  Hernisa Kacorri
Patkar Sushant 2021 Fantastic Sources Of Tumor Heterogeneity And How To Characterize Them  Soheil Feizi
Robinson Wells 2021 Computational methods for the identification of mutation signatures and intracellular microbes in cancer  Max Leiserson
Saadatpanah Parsa 2021 Adversarial Machine Learning in the Wild  Tom Goldstein
Sayed Mahmoud 2021 Search Among Sensitive Content  Doug Oard
Schoute Eddie 2021 Quantum routing for architecture-respecting circuit transformations  Andrew Childs
Schwarcz Steven Alexander 2021 Deep Video Analytics of Humans: From Action Recognition to Forgery Detection  Rama Chellappa
Shah Nidhi 2021 Data-driven algorithms for characterizing microbial communities  Mihai Pop
Stevens Rock 2021 Optimizing Proactive Measures for Security Operations  Michelle Mazurek
Suciu Octavian 2021 Data-Driven Techniques For Vulnerability Assessments  Tudor Dumitras
Sun Xuetong 2021 Towards Effective Displays for Virtual and Augmented Reality Amitabh Varshney
Taha Ahmed 2021 Closing the Gap Between Classification and Retrieval Models  Larry Davis
Zakeri Mohsen 2021 OPTIMIZING THE ACCURACY OF LIGHTWEIGHT METHODS FOR SHORT READ ALIGNMENT AND QUANTIFICATION 
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