PhD Alumni

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Last First Graduation Year Dissertation Advisor(s)
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
Blum Erica 2023 RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS  Jonathan Katz
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
Chiang Ping-Yeh 2023 Reliability Of Machine Learning Models In The Real World  Tom Goldstein
Dooley Samuel 2023 Expanding Robustness In Responsible Ai For Novel Bias Mitigation  John Dickerson
Esmaeili Seyed Abdulaziz 2023 On Algorithms, Fairness, and Incentives  John Dickerson
Fan Jason 2023 Analyzing And Indexing Huge Reference Sequence Collections  Rob Patro
Feng Yushan 2023 Amitabh Varshney
Fulton Kelsey Rae 2023 Understanding and Improving Secure Development from a Human-Centered Perspective  Michelle Mazurek
Ganguly Kanishka 2023 A Framework For Dexterous Manipulation Through Tactile Perception  John Aloimonos
Goel Pranav 2023 ANALYZING COMMUNICATIVE CHOICES TO UNDERSTAND THEIR MOTIVATIONS, CONTEXT-BASED VARIATION, AND SOCIAL CONSEQUENCES  Philip Resnik
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Guria Sankha Narayan 2023 Program Synthesis with Lightweight Abstractions  Jeffrey Foster, David Van Horn
Guria Sankha Narayan 2023 Program Synthesis with Lightweight Abstractions  Jeffrey Foster, David Van Horn
Hu Tao 2023 Dense 3D Reconstructions from Sparse Visual Data  Matthias Zwicker
Jia Biao 2023 Learning-Based Motion Planning For High-Dof Robot Systems  Dinesh Manocha
Kaneko Shoken 2023 Numerical Acoustics For Physical And Simulated Environments  Ramani Duraiswami
Nail A Gumerov
Katz Moshe Matanya 2023 Software-Defined Software  Ashok Agrawala
Kaya Yigitcan 2023 The Limitations of Deep Learning Methods in Realistic Adversarial Settings  Tudor Dumitras
Knittel Marina 2023 Fair And Scalable Algorithms On Massive Graphs  Mohammad Hajiaghayi, John Dickerson
Knittel Marina 2023 Fair And Scalable Algorithms On Massive Graphs  Mohammad Hajiaghayi, John Dickerson
Kumar Aounon 2023 Extending The Scope Of Provable Adversarial Robustness In Machine Learning  Soheil Feizi, Tom Goldstein
Kumar Aounon 2023 Extending The Scope Of Provable Adversarial Robustness In Machine Learning  Soheil Feizi, Tom Goldstein
Levine Alexander Jacob 2023 Scalable Methods for Robust Machine Learning  Soheil Feizi
Li Jingling 2023 Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models  John Dickerson
Maddali Hanuma Teja 2023 Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings  Amanda Lazar
Mathur Puneet 2023 Document Information Extraction, Structure Understanding And Manipulation  Dinesh Manocha
Mittal Trisha 2023 Towards Multimodal and Context-Aware Emotion Perception  Dinesh Manocha
Nair Suraj Rajappan 2023 Effective and Efficient Search Across Languages  Doug Oard
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Rodrigues Nishant 2023 Improved Algorithms And Primitives For Quantum Cryptography  Andrew Childs
Brad Lackey
Rolinger Thomas Blaine 2023 Compiler Optimizations for Irregular Memory Access Patterns in the PGAS Programming Model  Alan Sussman
Rowden Alexander 2023 Immersive Visual Analytics Of Wi-Fi Signal Propagation And Network Health  Amitabh Varshney
Saleh Mohammadabad Hamed 2023 Parallel Algorithms for Processing Massive Texts and Graphs  Mohammad Hajiaghayi
Shen Yu 2023 Learning-Based Autonomous Driving With Enhanced Data Efficiency And Policy Training  Ming Lin
Singh Chahat Deep 2023
Singla Sahil 2023 Reliable Deep Learning: a Robustness Perspective  Soheil Feizi
Srinivasan Shravan 2023 Data Structures and Protocols for Scalability and Security of Distributed Consensus 
Sun Yanchao 2023 Towards Robust and Adaptable Real-World Reinforcement Learning  Furong Huang
Tan Qingyang 2023 Learning-based Physics Simulation with Collision Handling  Dinesh Manocha
Terry Jordan Kirby 2023 Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems  John Dickerson
Xu Weijia 2023 Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation  Marine Carpuat
You Xuchen 2023 Optimization Problems in Quantum Machine Learning  Xiaodi Wu
Zhu Shaopeng 2023 Applications of Graph Theory and Logic in Computer Science  William Gasarch
Michael Laskowski
Bhattacharya Uttaran 2022 Affective Human Motion Detection and Synthesis  Dinesh Manocha
Bock Kevin 2022 Automating the Discovery of Censorship Evasion Strategies  Dave Levin
Brantley Kiante 2022 EXPERT-IN-THE-LOOP FOR SEQUENTIAL DECISIONS AND PREDICTIONS  Hal Daumé III