PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
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
Curry Michael Jeremiah 2022 Learning and Robustness With Applications To Mechanism Design  John Dickerson, Tom Goldstein
Zhu Chen 2022 Towards Reliable and Efficient Representation Learning  Tom Goldstein
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
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
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
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 (1961-2024)
Sharaf Amr 2020 Learning with Minimal Supervision: New Meta-Learning and Reinforcement Learning Algorithms  Hal Daumé III
Ghosh Pallabi 2020 SCENE AND ACTION UNDERSTANDING USING CONTEXT AND KNOWLEDGE SHARING  Larry Davis
Kim Doowon 2020 Understanding of Adversary Behavior and Security Threats in Public Key Infrastructures  Tudor Dumitras
Sarkar Hirak 2020 Computational approaches for improving the accuracy and efficiency of RNA-seq analysis  Rob Patro