Doctoral Degrees Conferred Search Academic Year: 2023-2024 Name Thesis Advisor(s) Thesis Title Daniel Anderson Guy E. Blelloch Parallel Batch-Dynamic Algorithms Dynamic Trees, Graphs, and Self-Adjusting Computation Matthew Butrovich Andrew Pavlo On Embedding Database Management System Logic in Operating Systems via Restricted Programming Environments Isaac Grosof Mor Harchol-Balter Optimal Scheduling in Multiserver Queues Pallavi Koppol Reid Simmons, Henny Admoni Interactive Machine Learning from Humans: Knowledge Sharing via Mutual Feedback Katherine Kosaian André Platzer Formally Verifying Algorithms for Real Quantifier Elimination Tian Li Virginia Smith Scalable and Trustworthy Learning in Heterogeneous Networks Chun Kai Ling J. Zico Kolter Scalable Learning and Solving of Extensive-Form Games Francisco Maturana Rashmi Vinayak Designing storage codes for heterogeneity: theory and practice Kevin Pratt Ryan O'Donnell Hypergraph Rank and Expansion Yuanhao Wei Guy E. Blelloch General Techniques for Efficient Concurrent Data Structures Han Zhang Yuvraj Agarwal, Matt Fredrikson Secure and Practical Splitting of IoT Device Functionalities Hanrui Zhang Vincent Conitzer Designing and Analyzing Machine Learning Algorithms in the Presence of Strategic Behavior Academic Year: 2022-2023 Name Thesis Advisor(s) Thesis Title Ainesh Bakshi Pravesh K. Kothari, David P. Woodruff Algorithms for Learning Latent Models: Establishing Tractability to Approaching Optimality Benjamin Berg Mor Harchol-Balter A Principled Approach to Parallel Job Scheduling Emily Black Matt Fredrikson (Un)Fairness Along the AI Pipeline: Problems and Solutions Andrew Chung Gregory R. Ganger Realizing value in shared compute infrastructures Chen Dan Pradeep Ravikumar Statistical Learning Under Adversarial Distribution Shift Priya L. Donti J. Zico Kolter, Inês Azevedo Bridging Deep Learning and Electric Power Systems Gabriele Farina Tuomas Sandholm Game-Theoretic Decision Making in Imperfect-Information Games: Learning Dynamics, Equilibrium Computation, and Complexity Pratik Pramod Fegade Todd C. Mowry, Phillip B. Gibbons, Tinaqi Chen Auto-batching Techniques for Dynamic Deep Learning Computations Shilpa Anna George Mahadev Satyanarayanan (Satya) Low-Bandwidth Remote Sensing of Rare Events Graham Gobieski Nathan Beckmann, Brandon Lucia Programmable, Energy-minimal Computer Architectures Paul Gölz Ariel Procaccia Social Choice for Social Good: Proposals for Democratic Innovation from Computer Science D Ellis Hershkowitz Bernhard Haeupler, R. Ravi Compact Representations of Graphs and Their Metrics Roger Iyengar Mahadev Satyanarayanan (Satya) Scaling Up Wearable Cognitive Assistance for Assembly Tasks Ellango Jothimurugesan Phillip B. Gibbons Large-Scale Machine Learning over Streaming Data Thomas Kim David G. Andersen Design principles for replicated storage systems built on emerging storage technologies Soonho Kong Edmund M. Clarke, Randal E. Bryant An Efficient Delta-decision Procedure Jack Kosaian Rashmi Vinayak Practical Coding-Theoretic Tools for Machine Learning Systems and by Machine Learning Systems Michael Roman Kuchnik George Amvrosiadis Beyond Model Efficiency: Data Optimizations for Machine Learning Systems Roie Levin Anupam Gupta Submodular Optimization Under Uncertainty Guarav Manek J. Zico Kolter Stable Models and Temporal Difference Learning Sai Sandeep Reddy Pallerla Venkatesan Guruswami New Directions in Inapproximability: Promise Constraint Satisfaction Problems and Beyond Pedro Paredes Ryan O'Donnell On the Expansion of Graphs Devdeep Ray Srinivasan Seshan Integrating Video Codec Design and Network Transport for Emerging Internet Video Streaming Application Leslie Rice J. Zico Kolter Methods for robust training and evaluation of deep neural networks Michael Rudow Rashmi Vinayak Efficient loss recovery for videoconferencing via streaming codes and machine learning Ziv Scully Mor Harchol-Balter, Guy E. Blelloch A New Toolbox for Scheduling Theory Yifan Song Vipul Goyal Communication Complexity of Information-Theoretic Multiparty Computation Yong Kiam Tan André Platzer Deductive Verification for Ordinary Differential Equations: Safety, Liveness, and Stability Alex L. Wang Fatma Kilinc-Karzan On Quadratically Constrained Quadratic Programs and their Semidefinite Program Relaxations Ziqi Wang Todd C. Mowry, Dimitrios Skarlatos Building a More Efficient Cache Hierarchy by Taking Advantage of Related Instances of Objects Kevin G. A. Waugh J. Andrew Bagnell Strategic Behavior Prediction Sam Westrick Umut Acar Efficient and Scalable Parallel Functional Programming Through Disentanglement Academic Year: 2021-2022 Name Thesis Advisor(s) Thesis Title Sol Boucher David G. Andersen Lightweight Preemptible Functions Daming Dominic Chen Phillip B. Gibbons Mitigating Memory-Safety Bugs with Efficient Out-of-Process Integrity Checking Timothy Chu Gary L. Miller Machine Learning: Metrics and Embeddings Ziqiang Feng Mahadev Satyanarayanan Human-efficient Discovery of Edge-based Training Data for Visual Machine Learning Rajesh Jayaram David Woodruff Sketching and Sampling Algorithms for High-Dimensional Data Anson Kahng Ariel Procaccia Computational Perspectives on Democracy Ryan Kavanagh Stephen Brookes, Frank Pfenning Communication-Based Semantics for Recursive Session-Typed Processes Klas Leino Matt Fredrikson Identifying, Analyzing, and Addressing Weaknesses in Deep Networks: Foundations for Conceptually Sound Neural Networks Daehyeok Kim Srinivasan Seshan, Vyas Sekar Towards Elastic and Resilient In-Network Computing Jason Li Anupam Gupta, Bernhard Haeupler Preconditioning and Locality in Algorithm Design Lin Ma Andrew Pavlo Self-Driving Database Management Systems: Forecasting, Modeling, and Planning Ravi Teja Mullapudi Kayvon Fatahalian, Deva Ramanan Dynamic Model Specialization for Efficient Inference, Training and Supervision Vaishnavh Nagarajan J. Zico Kolter Explaining generalization in deep learning: progress and fundamental limits Vidya Narayanan James McCann Foundations for 3D Machine Knitting Namyong Park Christos Faloutsos Mining and Learning With Graphs and Tensors Aurick Qiao Eric P. Xing Elastic Machine Learning Systems with Co-adaptation Andrii Riazanov Venkatesan Guruswami Polar Codes with Near-Optimal Convergence to Channel Capacity Nicholas Sharp Keenan Crane Intrinsic Triangulations in Geometry Processing Jonathan Sterling Robert W. Harper First Steps in Synthetic Tait Computability: The Objective Metatheory of Cubical Type Theory Petar Stojanov Jaime G. Carbonell, Kun Zhang Towards More Efficient and Data-Driven Domain Adaptation Ellen Vitercik Maria-Florina Balcan, Tuomas Sandholm Automated algorithm and mechanism configuration Di Wang Jan Hoffmann Static Analysis of Probabilistic Programs: An Algebraic Approach Ruosong Wang Ruslan Salakhutdinov Tackling Challenges in Modern Reinforcement Learning: Long Planning Horizon and Large State Space Samuel Yeom Matt Fredrikson Black-Box Approaches to Fair Machine Learning Christopher Yu Keenan Crane Repulsive Energies and their Applications Yu Zhao Ryan O'Donnell Generalizations and Applications of Hypercontractivity and Small-Set Expansion Tiancheng Zhi Srinivasa G. Narasimhan, Martial Hebert Training Deep Networks with Material-Aware Supervision Academic Year: 2020-2021 Name Thesis Advisor(s) Thesis Title Abutalib Aghayev Georget Amvrosiadis Adopting Zoned Storage in Distributed Storage Systems Naama Ben David Guy Blelloch Theoretical Foundations for Practical Concurrent and Distributed Computation Rose Bohrer Andre Platzer Practical End-to-End Verification of Cyber-Physical Systems Noam Brown Tuomas Sandholm Equilibrium Finding for Large Adversarial Imperfect-Information Games Pagination Current page 1 Page 2 Page 3 Page 4 Page 5 … Next page Next › Last page Last » About Key Contacts Employment Diversity, Equity and Inclusion Marketing & Communications History Partnerships Employer Recruiting Visit Carnegie Mellon Visitor Parking Academics Bachelor's Programs Master's Programs Doctoral Programs Ph.D. in Computer Science Ph.D. in ACO Doctoral - How to Apply Degrees Conferred Other SCS Doctoral Programs Student Resources Thesis Repositories SCS Technical Reports Kilthub Proquest (requires CMU login)
