Chandrasekaran, Venkat

Committee Member — 37 thesises

• You, Seungil — A Direct Approach to Robustness Optimization (2016, Dissertation (Ph.D.))
• McCoy, Michael Brian — A Geometric Analysis of Convex Demixing (2013, Dissertation (Ph.D.))
• Thill, Matthew David — Algebraic Techniques in Coding Theory: Entropy Vectors, Frames, and Constrained Coding (2016, Dissertation (Ph.D.))
• Levin, Eitan — Any-Dimensional Data Science: Learning, Optimization, and Sampling (2026, Dissertation (Ph.D.))
• Murray, Riley John — Applications of Convex Analysis to Signomial and Polynomial Nonnegativity Problems (2021, Dissertation (Ph.D.))
• Liang, Chen — Cascading Failures in Power Systems: Modeling, Characterization, and Mitigation (2022, Dissertation (Ph.D.))
• Stobbe, Peter — Convex Analysis for Minimizing and Learning Submodular Set Functions (2013, Dissertation (Ph.D.))
• Jaganathan, Kishore — Convex Programming-Based Phase Retrieval: Theory and Applications (2016, Dissertation (Ph.D.))
• Oymak, Samet — Convex Relaxation for Low-Dimensional Representation: Phase Transitions and Limitations (2015, Dissertation (Ph.D.))
• Candogan, Utkan Onur — Convex Relaxations for Graph and Inverse Eigenvalue Problems (2020, Dissertation (Ph.D.))
• Matni, Nikolai — Distributed Optimal Control of Cyber-Physical Systems: Controller Synthesis, Architecture Design and System Identification (2016, Dissertation (Ph.D.))
• Horowitz, Matanya Benasher — Efficient Methods for Stochastic Optimal Control (2014, Dissertation (Ph.D.))
• Soh, Yong Sheng — Fitting Convex Sets to Data: Algorithms and Applications (2019, Dissertation (Ph.D.))
• Mizrahi, Oren Simon — Flexible Phased Arrays: Challenges & Opportunities (2026, Dissertation (Ph.D.))
• Budninskiy, Maxim A. — Geometry-Driven Model Reduction (2019, Dissertation (Ph.D.))
• Korlakai Vinayak, Ramya — Graph Clustering: Algorithms, Analysis and Query Design (2018, Dissertation (Ph.D.))
• Guo, Linqi — Impact of Transmission Network Topology on Electrical Power Systems (2019, Dissertation (Ph.D.))
• Taeb, Armeen — Latent-Variable Modeling: Algorithms, Inference, and Applications (2020, Dissertation (Ph.D.))
• Epperly, Ethan Nicholas — Make the Most of What You Have: Resource-Efficient Randomized Algorithms for Matrix Computations (2025, Dissertation (Ph.D.))
• Chen, Niangjun — Online Algorithms: From Prediction to Decision (2018, Dissertation (Ph.D.))
• Pang, John Zhen Fu — Online Platforms in Networked Markets: Transparency, Anticipation and Demand Management (2019, Dissertation (Ph.D.))
• Han, Shuo — Optimal Uncertainty Quantification via Convex Optimization and Relaxation (2014, Dissertation (Ph.D.))
• Farivar, Masoud — Optimization and Control of Power Flow in Distribution Networks (2016, Dissertation (Ph.D.))
• Zhou, Fengyu — Optimization of Distribution Power Networks: from Single-Phase to Multi-Phase (2022, Dissertation (Ph.D.))
• Thrampoulidis, Christos — Recovering Structured Signals in High Dimensions via Non-Smooth Convex Optimization: Precise Performance Analysis (2016, Dissertation (Ph.D.))
• Douik, Ahmed — Riemannian Optimization for Convex and Non-Convex Signal Processing and Machine Learning Applications (2020, Dissertation (Ph.D.))
• Moreno Ferreira, Elvira — Scalable Approximation through Structure: Spectral Methods for Polynomial Optimization and Adaptive Sampling in Kernel Quadrature (2026, Dissertation (Ph.D.))
• Kulkarni, Pranav Dhananjay — Signal Processing for Line Spectra: New Sensor Arrays, Algorithms, and Theoretical Results (2025, Dissertation (Ph.D.))
• Teke, Oguzhan — Signals on Networks: Random Asynchronous and Multirate Processing, and Uncertainty Principles (2021, Dissertation (Ph.D.))
• Yi, Lynn Donglin — Statistical Methods for Gene Differential Expression Analysis of RNA-Sequencing (2019, Dissertation (Ph.D.))
• Salehi, Fariborz — Structured Signal Recovery from Nonlinear Measurements with Applications in Phase Retrieval and Linear Classification (2021, Dissertation (Ph.D.))
• Lee, Zachary Jordan — The Adaptive Charging Network Research Portal: Systems, Tools, and Algorithms (2021, Dissertation (Ph.D.))
• Fefferman, William Jason — The Power of Quantum Fourier Sampling (2014, Dissertation (Ph.D.))
• Tang, Yujie — Time-Varying Optimization and Its Application to Power System Operation (2019, Dissertation (Ph.D.))
• Gittens, Alex A. — Topics in Randomized Numerical Linear Algebra (2013, Dissertation (Ph.D.))
• Abbasi, Ehsan — Universality Laws and Performance Analysis of the Generalized Linear Models (2020, Dissertation (Ph.D.))
• Akhtiamov, Danil — Universality, Generalization, and Compression in Machine Learning (2026, Dissertation (Ph.D.))