PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
Brantley Kiante 2022 EXPERT-IN-THE-LOOP FOR SEQUENTIAL DECISIONS AND PREDICTIONS  Hal Daumé III
Curry Michael Jeremiah 2022 Learning and Robustness With Applications To Mechanism Design  John Dickerson, Tom Goldstein
Bhattacharya Uttaran 2022 Affective Human Motion Detection and Synthesis  Dinesh Manocha
Chakrabarti Shouvanik 2022 Quantum Computing for Optimization and Machine Learning  Xiaodi Wu
Flores Velazco Alejandro 2022 Algorithms and Data Structures for Faster Nearest-Neighbor Classification  David Mount
Ghiasi Mohammad Amin 2022 ROBUSTNESS AND UNDERSTANDABILITY OF DEEP MODELS  Tom Goldstein
Chandra Rohan 2022 TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC  Dinesh Manocha
Goldberg Matthew David 2022 Time-Situated Metacognitive Agency and Other Aspects of Commonsense Reasoning  Don Perlis
Lee Kyungjun 2022 Egocentric Vision in Assistive Technologies For and By the Blind  Hernisa Kacorri
Davis Gregory Patrick 2022 A NEUROCOMPUTATIONAL MODEL OF CAUSAL REASONING AND COMPOSITIONAL WORKING MEMORY FOR IMITATION LEARNING  James Reggia
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
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
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
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