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
Sarkar Hirak 2020 Computational approaches for improving the accuracy and efficiency of RNA-seq analysis  Rob Patro
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
Maddali Hanuma Teja 2023 Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings  Amanda Lazar
Ismail Aya Abdelsalam 2022 Interpretable Deep Learning for Time Series  Soheil Feizi
Levine Alexander Jacob 2023 Scalable Methods for Robust Machine Learning  Soheil Feizi
Patkar Sushant 2021 Fantastic Sources Of Tumor Heterogeneity And How To Characterize Them  Soheil Feizi
Singla Sahil 2023 Reliable Deep Learning: a Robustness Perspective  Soheil Feizi
Hong Jonggi 2021 Exploring Blind and Sighted Users‚Äö√Ñ√¥ Interactions With Error-Prone Speech and Image Recognition  Hernisa Kacorri
Lee Kyungjun 2022 Egocentric Vision in Assistive Technologies For and By the Blind  Hernisa Kacorri
Mittal Trisha 2023 Towards Multimodal and Context-Aware Emotion Perception  Dinesh Manocha
Tan Qingyang 2023 Learning-based Physics Simulation with Collision Handling  Dinesh Manocha
Tang Zhenyu 2022 Efficient Acoustic Simulation for Learning-based Virtual and Real-World Audio Processing  Dinesh Manocha
Bhattacharya Uttaran 2022 Affective Human Motion Detection and Synthesis  Dinesh Manocha
Chandra Rohan 2022 TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC  Dinesh Manocha
Ehrlich Max Donohue 2022 The First Principles of Deep Learning and Compression  Larry Davis, Abhinav Shrivastava
Meshry Moustafa Mahmoud 2022 Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis  Abhinav Shrivastava, Larry Davis
Chen Hao 2023 An efficient neural representation for videos  Abhinav Shrivastava
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Yang Luyu 2022 Practical Robust Learning Under Domain Shifts  Larry Davis, Abhinav Shrivastava
Zeng Zehua 2022 A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms  Leilani Battle
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
You Xuchen 2023 Optimization Problems in Quantum Machine Learning  Xiaodi Wu
Chakrabarti Shouvanik 2022 Quantum Computing for Optimization and Machine Learning  Xiaodi Wu
Sun Yanchao 2023 Towards Robust and Adaptable Real-World Reinforcement Learning  Furong Huang
Robinson Wells 2021 Computational methods for the identification of mutation signatures and intracellular microbes in cancer  Max Leiserson
Liao Gang 2022 The Evolution of Cloud Data Architectures: Storage, Compute, and Migration  Daniel Abadi
Hu Tao 2023 Dense 3D Reconstructions from Sparse Visual Data  Matthias Zwicker
Terry Jordan Kirby 2023 Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems  John Dickerson
Dooley Samuel William Atwell 2023 John Dickerson
Schumann Candice 2020 Exploring Diversity and Fairness in Machine Learning  John Dickerson
Esmaeili Seyed Abdulaziz 2023 On Algorithms, Fairness, and Incentives  John Dickerson
Curry Michael Jeremiah 2022 Learning and Robustness With Applications To Mechanism Design  John Dickerson, Tom Goldstein
Li Jingling 2023 Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models  John Dickerson
Park Young Sam 2016 Active Data Collection Techniques to Understand Online Scammers and Cybercriminals  Elaine Shi
Xu Weijia 2023 Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation  Marine Carpuat
Briakou Eleftheria 2023 DETECTING FINE-GRAINED SEMANTIC DIVERGENCES TO IMPROVE TRANSLATION UNDERSTANDING ACROSS LANGUAGES  Marine Carpuat
Agrawal Sweta 2023 COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION  Marine Carpuat
Vyas Yogarshi 2019 Identifying Semantic Divergences Across Languages  Marine Carpuat
Niu Xing 2019 Formality Style Transfer Within and Across Languages with Limited Supervision  Marine Carpuat
Ondov Brian 2020 Revealing Perceptual Proxies in Comparative Data Visualization  Niklas Elmqvist
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Park Deok 2018 Visual Analytics for Open-Ended Tasks in Text Mining  Niklas Elmqvist
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
Schoute Eddie 2021 Quantum routing for architecture-respecting circuit transformations  Andrew Childs
Fu Hong Hao 2021 THE MEMBERSHIP PROBLEM FOR CONSTANT-SIZED QUANTUM CORRELATIONS IS UNDECIDABLE  Andrew Childs
Fulton Kelsey Rae 2023 Understanding and Improving Secure Development from a Human-Centered Perspective  Michelle Mazurek
Redmiles Elissa 2019 Quality and Inequity in Digital Security Education  Michelle Mazurek
Stevens Rock 2021 Optimizing Proactive Measures for Security Operations  Michelle Mazurek