Doctoral Degrees Conferred Search Academic Year: 2020-2021 Name Thesis Advisor(s) Thesis Title Evan Cavallo Robert Harper Higher Inductive Types and Internal Parametricity for Cubical Type Theory Michael J. Coblenz Jonathan Aldrich, Brad Myers User-Centered Design of Principled Programming Languages Ankush Das Jan Hoffmann Resource-Aware Session Types for Digital Contracts Henry DeYoung Frank Pfenning Session-Typed Ordered Logical Specifications Laxman Dhulipala Guy Blelloch Provably Efficient and Scalable Shared- Memory Graph Algorithms Saurabh Kadekodi Greg Ganger, Rashmi Vinayak DISK-ADAPTIVE REDUNDANCY: tailoring data redundancy to disk-reliability-heterogeneity in cluster storage systems Deborah Stephanie Surden Katz Claire LeGoues Identification of Software Failures in Complex Systems Using Low-Level Execution Data Jay Yoon Lee Jaime Carbonell, William Cohen Injecting output constraints into neural NLP models Benjamin Lengerich Eric Xing Sample-Specific Models for Precision Medicine Charles John McGuffey Phil Gibbons Modernizing Models and Management of the Memory Hierarchy for Non-Volatile Memory Prashanth Menon Todd Mowry, Andy Pavlo On Building Robustness into Compilation-Based Main-Memory Database Query Engines Georg P. Schoenherr Jaime Carbonell, Bhiksha Raj The Nonlinearity Coefficient - A Practical Guide to Neural Architecture Design Amirbehshad Shahrasbi Bernhard Haeupler Coding for Synchronization Errors Evan Shimizu Kayvon Fatahalian, James McCann Improving Parameterized Design with Interactive User-Guided Sampling and Parameter Identification Tools Rui Silva Manuela Veloso, Francisco Melo Counterfactual MDPs: Planning Beyond Direct Control Dana Van Aken Andy Pavlo On Automatic Database Management System Tuning Using Machine Learning David Wajc Bernhard Haeupler Matching Theory under Uncertainty Tianlong Yu Srinivasan Seshan, Vyas Sekar Securing Internet-of-Things via Fine-grained Network Detection and Prevention Yimeng Zhang Tai Sing Lee Modeling early visual cortex using neural network models with recurrent circuits Qing Zheng George Amvrosiadis, Garth Gibson Distributed Metadata and Streaming Data Indexing as Scalable Filesystem Services Goran Žužić Bernhard Haeupler Towards Universal Optimality in Distributed Optimization Academic Year: 2019-2020 Name Thesis Advisor(s) Thesis Title Carlo Angiuli Robert Harper Computational Semantics of Cartesian Cubical Type Theory Vijay Bhattiprolu Venkatesan Guruswami On the Approximability of Injective Tensor Norm Logan Brooks Roni Rosenfeld Pancasting: forecasting epidemics from provisional data Zack Coker Claire LeGoues Automatic repair of framework applications Dhivya Eswaran Christos Faloutsos Mining Anomalies Using Static and Dynamic Graphs Hannah Gommerstadt Frank Pfenning, Limin Jia Session-Typed Concurrent Contracts Angela Jiang Greg Ganger Improving Deep Learning Training and Inference with Dynamic Hyperparameter Optimization Anuj Kalia David Andersen Efficient Remote Procedure Calls for Datacenters Conglong Li David Andersen Learned Adaptive Accuracy-Cost Optimization for Machine Learning Systems Nicolas Resch Bernard Haeupler, Venkat Guruswami List-Decodable Codes: (Randomized) Constructions and Applications Yihan Sun Guy Blelloch Join-based Parallel Balanced Binary Trees Junjue Wang Mahadev Satyanarayanan Scaling Wearable Cognitive Assistance Jinliang Wei Garth Gibson, Eric Xing Scheduling for Efficient Large-Scale Machine Learning Training Huanchen Zhang David Andersen Memory-Efficient Search Trees for Database Management Systems Dong Zhou David G. Andersen Data Structure Engineering for High Performance Software Packet Processing Academic Year: 2018-2019 Name Thesis Advisor(s) Thesis Title Brandon Amos Zico Kolter Differentiable Optimization-Based Modeling for Machine Learning Joy Arulraj Andy Pavlo The Design and Implementation of a Non-Volatile Memory Database Management System Ben Blum Garth Gibson Practical Concurrency Testing or: How I Learned to Stop Worrying and Love the Exponential Explosion Se-Joon Chung Nancy Pollard Hand Pose Estimation and Prediction for Virtual Reality Applications Travis Dick Nina Balcan Machine Learning: Social Values, Data Efficiency, and Beyond Prediction Shayan Doroudi Emma Brunskill Integrating Human and Machine Intelligence for Enhanced Curriculum Design Nathan Fulton Andre Platzer Verifiably Safe Autonomy for Cyber-Physical Systems Yan Gu Guy Blelloch Write-Efficient Algorithms Zhaohan Daniel Guo Emma Brunskill Directed Exploration for Improved Sample Efficiency in Reinforcement Learning Guru Guruganesh Anupam Gupta Topics in Approximation and Online Algorithms Nika Haghtalab Avrim Blum, Ariel Procaccia Foundation of Machine Learning, by the People, for the People Yong He Kayvon Fatahalian Slang -- A Shader Compilation System for Extensible, Real-Time Shading Jin Kyu Kim Garth Gibson, Eric Xing Framework Design for Improving Computational Efficiency and Programming Productivity for Distributed Machine Learning Christian Kroer Tuomas Sandholm Large-Scale Sequential Imperfect-Information Game Solving: Theoretical Foundations and Practical Algorithms with Guarantees Stefan K. Muller Umut Acar Responsive Parallel Computation Yuzuko Nakamura Nancy Pollard Understanding and applying human grasping to artificial manipulators Jun Woo Park Greg Ganger Distribution-based cluster scheduling Vittorio Perera Manuela Veloso Language-Based Bidirectional Human And Robot Interaction Learning For Mobile Service Robot Kijung Shin Christos Faloutsos Mining Large Dynamic Graphs and Tensors Sahil Singla Manuel Blum, Anupam Gupta Combinatorial Optimization Under Uncertainty: Probing and Stopping-Time Algorithms Wennie Tabib Nathan Michael, Red Whittaker Approximate Continuous Belief Distributions for Exploration Joseph Tassarotti Robert Harper Verifying Concurrent Randomized Algorithms Colin White Maria Florina Balcan New Aspects of Beyond Worst-Case Analysis Zichao Yang Taylor Berg-Kirkpatrick, Eric Xing Incorporating Structural Bias into Neural Networks for Natural Language Processing Academic Year: 2017-2018 Name Thesis Advisor(s) Thesis Title Zhuo Chen Mahadev Satyanarayanan An Application Platform for Wearable Cognitive Assistance Jesse Dunietz Jaime Carbonell, Lori Levin Annotating and Automatically Tagging Constructions of Causal Language Siddhartha Jain Ziv Bar-Joseph Inferring Temporal Signaling Pathways and Regulatory Mechanisms from High-Throughput Data Junchen Jiang Vyas Sekar, Hui Zhang Enabling Data-Driven Optimization of Quality of Experience in Internet Applications Ashiqur Khudabukhsh Jaime Carbonell Distributed Learning in Referral Networks David Kurokawa Ariel Procaccia Algorithms in Fair Division Yixin Luo Onur Mutlu Architectural Techniques for Improving NAND Flash Memory Reliability Matthew K. Mukerjee Srinivasan Seshan Eliminating Adverse Control Plane Interactions in Independent Network Systems David Naylor Peter Steenkiste Architectural Support for Managing Privacy Tradeoffs in the Internet Ligia Nicoleta Nistor Jonathan Aldrich Object Propositions Kai Ren Garth Gibson Fast Storage for File System Metadata Shayak Sen Anupam Datta Influence-directed Explanations for Machine Learning Neil Shah Christos Faloutsos Anomaly Detection in Large Social Graphs Michael J. Sullivan Karl Crary Low-level Concurrent Programming Using the Relaxed Memory Calculus Bruno Vavala Nuno Neves, Peter Steenkiste Secure Large-Scale Outsourced Services Founded on Trustworthy Code Executions Pagination First page « First Previous page ‹ Previous Page 1 Current page 2 Page 3 Page 4 Page 5 … Next page Next › Last page Last » 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)
