PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
Katz Moshe Matanya 2023 Software-Defined Software  Ashok Agrawala
Singh Chahat Deep 2023
Nair Suraj Rajappan 2023 Effective and Efficient Search Across Languages  Doug Oard
Kaya Yigitcan 2023 The Limitations of Deep Learning Methods in Realistic Adversarial Settings  Tudor Dumitras
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Li Jingling 2023 Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models  John Dickerson
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Guria Sankha Narayan 2023 Program Synthesis with Lightweight Abstractions  Jeffrey Foster, David Van Horn
Saleh Mohammadabad Hamed 2023 Parallel Algorithms for Processing Massive Texts and Graphs  Mohammad Hajiaghayi
Guria Sankha Narayan 2023 Program Synthesis with Lightweight Abstractions  Jeffrey Foster, David Van Horn
Singla Sahil 2023 Reliable Deep Learning: a Robustness Perspective  Soheil Feizi
Rolinger Thomas Blaine 2023 Compiler Optimizations for Irregular Memory Access Patterns in the PGAS Programming Model  Alan Sussman
Sun Yanchao 2023 Towards Robust and Adaptable Real-World Reinforcement Learning  Furong Huang
Fulton Kelsey Rae 2023 Understanding and Improving Secure Development from a Human-Centered Perspective  Michelle Mazurek
Terry Jordan Kirby 2023 Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems  John Dickerson
Mittal Trisha 2023 Towards Multimodal and Context-Aware Emotion Perception  Dinesh Manocha
Xu Weijia 2023 Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation  Marine Carpuat
Tan Qingyang 2023 Learning-based Physics Simulation with Collision Handling  Dinesh Manocha
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
You Xuchen 2023 Optimization Problems in Quantum Machine Learning  Xiaodi Wu
Goel Pranav 2023 ANALYZING COMMUNICATIVE CHOICES TO UNDERSTAND THEIR MOTIVATIONS, CONTEXT-BASED VARIATION, AND SOCIAL CONSEQUENCES  Philip Resnik
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
Zhu Shaopeng 2023 Applications of Graph Theory and Logic in Computer Science  William GasarchWilliam Laskowski
Briakou Eleftheria 2023 DETECTING FINE-GRAINED SEMANTIC DIVERGENCES TO IMPROVE TRANSLATION UNDERSTANDING ACROSS LANGUAGES  Marine Carpuat
Chen Hao 2023 An efficient neural representation for videos  Abhinav Shrivastava
Dooley Samuel William Atwell 2023 John Dickerson
Agrawal Sweta 2023 COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION  Marine Carpuat
Ganguly Kanishka 2023 A Framework For Dexterous Manipulation Through Tactile Perception  John Aloimonos
Maddali Hanuma Teja 2023 Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings  Amanda Lazar
Levine Alexander Jacob 2023 Scalable Methods for Robust Machine Learning  Soheil Feizi
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Maynord Michael 2023
Blum Erica 2023 RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS  Jonathan Katz
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Esmaeili Seyed Abdulaziz 2023 On Algorithms, Fairness, and Incentives  John Dickerson
Feng Yushan 2023 Amitabh Varshney
Hu Tao 2023 Dense 3D Reconstructions from Sparse Visual Data  Matthias Zwicker
Srinivasan Shravan 2023 Data Structures and Protocols for Scalability and Security of Distributed Consensus 
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