ARC supports competitive research projects put forth by graduate students.
| Student(s) | Semester Awarded | Fellowship Title |
Advisor(s) |
|---|---|---|---|
| Qie He, ISyE | 2010 Fall | A Polyhedral Study of Stochastic Integer Programming | Shabbir Ahmed and George Nemhauser, ISyE |
| Zhehui Chen (ISyE) | 2018 Spring | Online Generalized Eigenvalue Decomposition: Min-max Formulation, Primal Dual Landscape and Efficient Optimization | Tuo Zhao (ISyE) |
| Ravi S. Ganti CS | 2010 Spring | Design and Analysis of Local Kernel Machines | Alexander G. Gray, CSE |
| Tianxin Tang (CS PhD, CS), ARC-IISP Fellowship | 2016 Fall | Keyless Fuzzy Search on Encrypted Data | Alexandra Boldyreva |
| David Cash, CS | 2009 Spring | Circular-Secure Encryption from Learning Problems | Alexandra Boldyreva, CS |
| Jing Yu (ACO) | 2022 Spring | Fast Distributed Algorithm Conjecture for Lovasz Local Lemma | Anton Bernshteyn (Math) |
| Vinod Cheriyan, ISyE | 2010 Fall | A Model of Asset Price Bubbles that Shows Chaotic Dynamics | Anton J. Kleywegt, ISyE and Federico Bonetto, Math |
| Rui Gao (ISyE) | 2018 Spring | Wasserstein Distributional Robustness and Generalization | Anton Kleywegt (ISyE) |
| Robert Krone (Math) | 2014 Spring | Algorithms for Equivariant Ideals and Varieties | Anton Leykin |
| Timothy Duff (ACO Math) | 2020 Spring | Challenges in Computational Algebraic Vision | Anton Leykin (Math) |
| Cristóbal Guzmán, ISyE | 2013 Spring | A New Model for Image Regularization | Arkadi Nemirovski, ISyE |
| Sara Krehbiel (CS) | 2014 Spring | Paying for Privacy | Chris Peikert |
| Abhishek Banerjee, CS | 2011 Spring | Efficient Cryptographic Pseudorandom Generators | Chris Peikert, CS |
| Sara Krehbiel, ACO/CS | 2011 Fall | Threshold Lattice Cryptography | Chris Peikert, CS |
| George Kerchev (Math) | 2018 Spring | Asymptotic behavior of the length of the longest common subsequence in hidden Markov models | Christian Houdre (Math) |
| Sarah Miracle (CS) | 2014 Spring | Markov Chains to Model Segregation and Biased Surfaces | Dana Randall |
| Prateek Bhakta (ACO PhD, CS) | 2011 Fall | Markov Chain Convergence in Discrete and Continuous Spaces | Dana Randall |
| Prateek Bhakta (ACO PhD, CS) | 2012 Fall | Mixing Times of the Schelling Segretation Model and Biased Permutations | Dana Randall |
| Zhanzhan Zhao (CS) | 2021 Spring | Mitigating Residential Segregation Through Urban Infrastructure | Dana Randall (CS) |
| Amanda Pascoe | 2009 Fall | Cluster Algorithms for Discrete Models of Colloids | Dana Randall, CS |
| Daan Rutten (ISyE) | 2021 Spring | Improving Capacity Scaling With Machine Learning Predictions | Debankur Mukherjee (ISyE) |
| Di Wu (OR PhD, ISyE) | 2017 Spring | Computing Budget Allocation Under Input Uncertainty | Enlu Zhou |
| Tianyi Liu (OR, ISyE) | 2019 Spring | Online Risk Quantification of Input Uncertainty | Enlu Zhou (ISyE) |
| Andreas Galanis (CS) | 2014 Spring | Hardness of Approximately Counting Colorings | Eric Vigoda |
| Zongchen Chen (ACO, CS) | 2019 Spring | Distribution Testing for Markov Random Fields | Eric Vigoda (CS) |
| Linji Yang, CS | 2011 Spring | Analysis of the Hard-core Model on Square Lattices Beyond the Tree Uniqueness Threshold | Eric Vigoda, CS |
| Mohamed El Tonbari (OR, ISyE) | 2020 Spring | On Two-Stage Distributionally Robust Optimization with Binary Variables. | George Nemhauser(ISyE) and Alejandro Toriello (ISyE) |
| Kevin Shu (ACO Math) | 2023 Spring | Sparsity and Randomness in Optimization | Greg Blekherman (Math) |
| Shengding Sun (ACO Math) | 2020 Spring | Sparse positive semidefinite relaxations with S^{n,k}. | Greg Blekherman (Math) and Santanu Dey (ISyE) |
| Da Kuang, CSE | 2010 Spring | Matrix Factorization for Clustering: NMF and Beyond | Haesun Park, CSE |
| Adrian Rivera Cardoso (ISyE) | 2018 Spring | Online Risk Averse Minimization with Bandit Feedback | Huan Xu (ISyE) |
| Jun-Kun Wang (CS) | 2018 Spring | Online Frank-Wolfe and its Application in Herding | Jacob Abernethy (CS) |
| Marcel Celaya (ACO PhD, Math) | 2017 Spring | An Algorithmic Approach to the Gohberg-Markus-Hadwiger Conjecture | Josephine Yu |
| Shen Zhang (ML) | 2022 Spring | Toward optimal multi-agent reinforcement learning: From consensus to policy evaluation | Justin Romberg (ECE), Ashwin Pananjady (ISyE/ECE) |
| Bo Xie (CSE) | 2015 Fall | Convergence of Non-Convex Optimization in Deep Learning | Le Song |
| He Guo (Math) | 2018 Spring | Semi-Random Algorithmic Constructions | Lutz Warnke (Math) |
| Andrew Massimino (ECE) | 2014 Spring | Constrained Adaptive Sensing | Mark Davenport |
| Andrew McRae (ECE) | 2020 Spring | Exploiting low-dimensional manifold structure with kernel methods. | Mark Davenport (ECE) |
| Spencer Backman (Math) | 2014 Spring | A Complex Valued Hypergraph Laplachain | Matt Baker |
| Farbod Shokrieh, Math/ECE | 2010 Fall | A Torelli Theorem and a New Set of Invariants for Graphs | Matt Baker, Math |
| Farbod Shokrieh, Math | 2012 Fall | Random Basis Algorithm for Regular Matroids | Matt Baker, Math |
| Gagan Goel, CS | 2009 Spring | Efficient Allocations when the Agents have Submodular Utility/Cost Function | Milena Mihail and Vijay Vazirani |
| Uthaipon Tantipongpipat (CS) | 2018 Spring | Design and Analysis of Approximation Algorithms for Optimal Design | Mohit Singh (ISyE) |
| Adam Brown (Math ACO) | 2022 Spring | Diverse Subset Selection | Mohit Singh (ISyE) |
| Sebastian Perez-Salazar (ACO, ISyE) | 2019 Spring | Dynamic allocation in the Cloud with Near-Optimal Efficiency | Mohit Singh (ISyE) and Alejandro Toriello (ISyE) |
| Luyi Gui, ISyE | 2009 Fall | Collaboration Mechanism Design under Data Uncertainty in Multicommodity Flow Networks | Ozlem Ergun |
| Ning Tan, ACO/Math | 2011 Fall | Constraint Satisfaction Problems with Global Constraints | Prasad Raghavendra, CS |
| Emma Cohen (Math) | 2015 Fall | Mixing with Monotone Censoring | Prasad Tetali |
| Ricardo Restrepo, Math | 2009 Spring | Reconstruction in Random Factor Graphs | Prasad Tetali (GT Math) and Andrea Montanari (Stanford) |
| Ioannis Pannageas | 2014 Fall | Replicator dynamics, Equilibria and Diversity in Evolution | Prasad Tetali (Math) |
| Ricardo Restrepo, Math | 2011 Spring | Spatial Mixing: Refinements and Applications | Prasad Tetali, CS/Math |
| Ricardo Restrepo, Math | 2010 Spring | Convergence of Local Interactions in Catalan Structures | Prasad Tetali, CS/Math |
| Arindam Khan | 2012 Fall | Algorithms for 3-D Geometric Bin Packing | Prasad Tetali, CS/Math and Henrik I. Christensen, IC |
| Yuliia Lut (ISyE) | 2020 Spring | Improving accuracy for dynamic differential privacy with change-point detection. | Rachel Cummings (ISyE) |
| Jiaming Liang (ISyE) | 2020 Spring | First-Order Methods for Nonconvex Smooth Composite Optimization Problems | Renato Monteiro (ISyE) |
| Camilo Ortiz, ISyE | 2011 Fall | Implementation of Fast First-Order Methods for Solving Large-Scale Convex Optimization Problem | Renato Monteiro, ISyE |
| Atish Das Sarma, CS | 2009 Spring | Efficient Approaches for Random Walks | Richard J. Lipton, CS |
| Atish Das Sarma, CS | 2009 Fall | Walk Fast Distributively and Learn Despite Byzantine Failures | Richard J. Lipton, CS |
| David Durfee (ACO PhD, CS) | 2016 Fall | Vertex Elimination Techniques and their Applications to Graph Algorithms | Richard Peng |
| Chun-Hung Liu, Math | 2013 Spring | Well-quasi-ordering Graphs by the Immersion Relation | Robin Thomas, Math |
| Chun-Hung Liu and Peter Whalen, Math | 2011 Fall | Tiny Robots: A Resource Allocation Problem | Robin Thomas, Math |
| Youngho Yoo (ACO, Math) | 2019 Spring | Packing zero A-paths in undirected group labelled graphs | Robin Thomas (Math) |
| atharth Dubey (ISyE) | 2021 Spring | On the Success of Strong Branching | Santanu Dey (ISyE) |
| Burak Kocuk (ISyE) | 2014 Fall | A Polyhedral Study of DC Transmission Switching Problem | Santanu Dey and Andy Sun (ISyE) |
| Diego Morán, ISyE | 2013 Spring | On Cutting Planes for Convex Mixed-integer Programs | Santanu Dey, ISyE |
| Samira Samadi (CS PhD) ARC-IISP Fellowship | 2017 Spring | Human Computation with Application to Humanly Usable and Secure Password Methods | Santosh Vempala |
| Kevin Lai (ACO PhD, CS) | 2016 Fall | Parameter Estimation for Mixtures of Gaussians with Adversarial Noise | Santosh Vempala |
| Ben Cousins (ACO PhD, CS) | 2016 Spring | Theoretical and Applied Tools for High-dimensional Sampling | Santosh Vempala |
| He Jia (CS) | 2021 Spring | Robustly Learning of Mixtures of Gaussians | Santosh Vempala (CS) |
| Mirabel Reid (CS) | 2022 Spring | Graph Parameterization in the Assembly Model | Santosh Vempala (CS) |
| Mehrdad Ghadiri (CS ACO) | 2022 Spring | Tall p-norm Regression in Input Sparsity Time | Santosh Vempala (CS) |
| Samantha Petti (ACO, Math) | 2019 Spring | Testing Geometric Convexity | Santosh Vempala (CS) |
| Yumbum Kook (CS) | 2023 Spring | Further Development of High-dimensional Sampling | Santosh Vempala (CS) |
| Xinyuan Cao (ML CS) | 2023 Spring | Unsupervised Learning of Halfspaces and Beyond | Santosh Vempala (CS) |
| Aditi Laddha (ACO CS) | 2020 Spring | Better Approximation for Uniform Sparsest Cut | Santosh Vempala (CS) |
| Karthekeyan Chandrasekaran, CS/ACO | 2010 Fall | The Complexity of Cutting Plane Methods for Random Integer Programs | Santosh Vempala, CS |
| Ying Xiao, CS/ACO | 2010 Fall | Tensors and Random Constraint Satisfaction Problems | Santosh Vempala, CS |
| Daniel Dadush, ISyE | 2009 Fall | Towards the KLS Conjecture for Convex Bodies | Santosh Vempala, CS |
| Daniel Dadush, ISyE | 2011 Fall | Towards Faster Integer Programming | Santosh Vempala, CS |
| Anand Louis, CS | 2012 Fall | A New Approach Towards Graph Coloring | Santosh Vempala, CS and Prasad Tetali, Math |
| Anand Louis, CS | 2011 Spring | Towards a Spectral Algorithm for Small-set Expansion and Graph Multi-partitioning | Santosh Vempala, Prasad Raghavendra, CS and Prasad Tetali, CS/Math |
| Aurko Roy (ISyE) | 2014 Spring | Learning a Polytope | Sebastian Pokutta |
| Alfredo Torrico (OR PhD, ISyE) | 2017 Spring | Online Constrained Submodular Minimization with Bandit Feedback | Sebastian Pokutta |
| Xie Weijun (ISyE) | 2016 Spring | On Distributionally Robust Joint Chance-Constrained Problems | Shabbir Ahmed |
| Ezgi Karabulut (OR PhD, ISyE) | 2016 Fall | Auction Algorithms for Distributed Integer Programming | Shabbir Ahmed and George Nemhauser |
| Gustavo Angulo (ISyE) | 2014 Spring | A polyhedral study of all-different polytopes | Shabbir Ahmed and Santanu S. Dey |
| Zaiwei Chen (ML) | 2021 Spring | Unified Framework for Finite-Sample Analysis of Reinforcement Learning Algorithms | Siva Theja Maguluri (ISyE) |
| Daniela Hurtado Lange (OR, ISyE) | 2019 Spring | Performance analysis of scheduling algorithms in a switch | Siva Theja Maguluri (ISyE) |
| Sajad Khodadadian (OR ISyE) | 2023 Spring | Sharp Analysis of Two-Time-Scale Stochastic Approximation with Applications in Reinforcement Learning | Siva Theja Maguluri (ISyE) |
| Jai Moondra (ACO CS) | 2023 Spring | Fair and interpretable combinatorial optimization using symmetric weights | Swati Gupta (ISyE) and Mohit Singh (ISyE) |
| Hassan Mortagy (ISyE) | 2021 Spring | First-Order Methods for Combinatorial Structures and Machine Learning | Swati Gupta (Spring 2021) |
| Xuefeng Gao, ISyE | 2011 Spring | Capacity Allocation in Queueing Networks | Ton Dieker |
| Guido Lagos (ISyE) | 2014 Fall | Exact Sampling of Random Walk Paths up to the Maximum | Ton Dieker |
| Xuefeng Gao (ISyE) | 2010 Spring | Capacity Allocation in Queueing Networks | Ton Dieker, ISyE |
| Minshuo Chen (ML, ISyE) | 2019 Spring | On Nonconvex Stochastic Optimization of Residual Networks | Tuo Zhao (ISyE) |
| Haoming Jiang (ML ISyE) | 2020 Spring | Nonparametric Regression on Low Dimensional Manifolds using Neural Networks. | Tuo Zhao (ISyE) |
| Guanghui Wang (ML CS) | 2023 Spring | Adaptive and Oracle-Efficient Online Learning | Vidya Muthukumar (ISyE) and Jacob Abernathy (CS) |
| Tung Mai (ACO PhD, CS), | 2016 Fall | Approximating the Non-symmetric Nash Social Welfare | Vijay Vazirani |
| Sadra Yazdanbod (ACO PhD, CS) | 2016 Spring | A Market for Scheduling, with Applications to Cloud Computing | Vijay Vazirani |
| Pushkar Tripathi, CS | 2011 Fall | Simple Randomized Algorithms for Assignment Problems | Vijay Vazirani, CS |
| Stas Minsker, Math | 2010 Fall | Plug-in Approach to Active Learning | Vladimir Koltchinskii, Math |
| Yongchun Li (OR ISyE) | 2023 Spring | On the Strength of Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bound, and Algorithm | Weijun Xie (ISyE) |
| Yuzhou Wang (ACO Math) | 2023 Spring | Hardness of finding balanced independent sets in d-regular random bipartite graphs | Will Perkins (CS) |
| Yujie Zhao (ISyE) | 2020 Spring | Homotopic Methods can Significantly Speed up the Computation of the Non-differential Optimization Problems. | Xiaoming Huo (ISyE) |
| Yiling Luo (OR) | 2022 Spring | Towards Understanding Statistical Properties of Model Parameters in Stochastic First Order Optimization Algorithms | Xiaoming Huo (ISyE) |
| Tian-Yi Zhou (ISyE OR) | 2023 Spring | Classification of Unbounded Data by Gaussian Mixture Models Using deep ReLU Networks | Xiaoming Huo (ISyE) |
| Qunzhi Xu (OR) | 2022 Spring | Active Sequential Change-Point Detection Under Sampling Control | Yajun Mei (ISyE) |
| Wanrong Zhang (IE, ISyE) | 2019 Spring | Online Monitoring Streaming Data Under Privacy or Resources Constraints | Yajun Mei (ISyE) and Rachel Cummings (ISyE) |
| Liyan Xie (ISyE) | 2020 Spring | Distributionally Robust Nonparametric Hypothesis Testing. | Yao Xie (ISyE) |
