PhD Alumni

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Displaying 51 - 100 of 948
Last First Graduation Year Dissertation Advisor(s)
Hietala Kesha 2022 A Verified Software Toolchain for Quantum Programming  Michael Hicks
Singhal Swati 2022 A FLEXIBLE APPROACH FOR ORCHESTRATING ADAPTIVE SCIENTIFIC WORKFLOWS FOR SCALABLE COMPUTING  Alan Sussman
Ehrlich Max Donohue 2022 The First Principles of Deep Learning and Compression  Larry Davis, Abhinav Shrivastava
Ismail Aya Abdelsalam 2022 Interpretable Deep Learning for Time Series  Soheil Feizi
Tsepenekas Leonidas 2022 On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning  Aravind Srinivasan
Ehrlich Max Donohue 2022 The First Principles of Deep Learning and Compression  Larry Davis, Abhinav Shrivastava
Javkar Kiran Gajanan 2022 Algorithms for scalable and efficient population genomics and metagenomics  Mihai Pop
Zeng Zehua 2022 A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms  Leilani Battle
Farhadi Alireza 2022 Memory-Restricted and Secure Algorithms For Large Datasets  Mohammad Hajiaghayi
Li Hengduo 2022 Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding  Larry Davis
Lan Shiyi 2022 Object Detection and Instance Segmentation for Real-world Applications  Larry Davis
Meshry Moustafa Mahmoud 2022 Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis  Abhinav Shrivastava, 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
Peskov Denis 2022 Gathering Natural Language Processing Data Using Experts  Jordan Boyd-Graber
Nguyen Khanh Xuan 2022 ENRICHING COMMUNICATION BETWEEN HUMANS AND AI AGENTS  Hal Daumé III
Tang Zhenyu 2022 Efficient Acoustic Simulation for Learning-based Virtual and Real-World Audio Processing  Dinesh Manocha
Suryan Varun 2022 Efficient Environment Sensing and Learning for Mobile Robots  Pratap Tokekar
Yadav Abhay Kumar 2022 IMPROVED TRAINING OF DEEP NETWORKS FOR COMPUTER VISION  David Jacobs
Sweet Ian Nicholas 2022 Language-Based Techniques for Secure Programming  Michael Hicks
Zhao Chen 2022 TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING  Jordan Boyd-Graber, Hal Daumé III
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava
Zhao Chen 2022 TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING  Jordan Boyd-Graber, Hal Daumé III
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava
Bock Kevin 2022 Automating the Discovery of Censorship Evasion Strategies  Dave Levin
Yuan Michelle 2022 Transfer Learning in Natural Language Processing through Interactive Feedback  Jordan Boyd-Graber
Zakeri Mohsen 2021 OPTIMIZING THE ACCURACY OF LIGHTWEIGHT METHODS FOR SHORT READ ALIGNMENT AND QUANTIFICATION 
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
Feng Shi 2021 Towards Human-AI Cooperation on Sequential Decision Making Problems  Jordan Boyd-Graber
Stevens Rock 2021 Optimizing Proactive Measures for Security Operations  Michelle Mazurek
Hong Jonggi 2021 Exploring Blind and Sighted Users‚Äö√Ñ√¥ Interactions With Error-Prone Speech and Image Recognition  Hernisa Kacorri
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
Suciu Octavian 2021 Data-Driven Techniques For Vulnerability Assessments  Tudor Dumitras
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