Wierman, Adam C.

Committee Member — 66 thesises

• Wang, Yuh-Shyang — A System Level Approach to Optimal Controller Design for Large-Scale Distributed Systems (2017, Dissertation (Ph.D.))
• Lin, Minghong — Algorithmic Challenges in Green Data Centers (2013, Dissertation (Ph.D.))
• Bose, Subhonmesh — An Integrated Design Approach to Power Systems: From Power Flows to Electricity Markets (2014, Dissertation (Ph.D.))
• Conger, Lauren Elaine — Analysis of Large-Scale Systems: Coupled Multispecies Gradient Flows and Distributed Control (2026, 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.))
• Talukder, Sabera — Beyond Text: The Rudiments of Next Generation Foundation Models (2026, Dissertation (Ph.D.))
• Liang, Chen — Cascading Failures in Power Systems: Modeling, Characterization, and Mitigation (2022, Dissertation (Ph.D.))
• Gopalakrishnan, Ragavendran — Characterizing Distribution Rules for Cost Sharing Games (2013, Dissertation (Ph.D.))
• Olson, Michael James — Cloud Computing Services for Seismic Networks (2014, Dissertation (Ph.D.))
• Han, SooJean — Control and State-Estimation of Jump Stochastic Systems by Learning Recurrent Spatiotemporal Patterns (2023, Dissertation (Ph.D.))
• Ho, Dimitar Mi — Control of Unknown Dynamical Systems: Robustness and Online Learning of Feedback Control (2024, Dissertation (Ph.D.))
• Candogan, Utkan Onur — Convex Relaxations for Graph and Inverse Eigenvalue Problems (2020, Dissertation (Ph.D.))
• Ziani, Juba — Data: Implications for Markets and for Society (2019, Dissertation (Ph.D.))
• Cvitkovic, Michael William (Milan0 — Deep Learning in Unconventional Domains (2020, Dissertation (Ph.D.))
• Peng, Qiuyu — Distributed Control and Optimization for Communication and Power Systems (2016, Dissertation (Ph.D.))
• Gan, Lingwen — Distributed Load Control in Multiphase Radial Networks (2015, Dissertation (Ph.D.))
• Matni, Nikolai — Distributed Optimal Control of Cyber-Physical Systems: Controller Synthesis, Architecture Design and System Identification (2016, Dissertation (Ph.D.))
• Cai, Wuhan Desmond — Electricity Markets for the Smart Grid: Networks, Timescales, and Integration with Control (2016, Dissertation (Ph.D.))
• Shadbakht, Sormeh — Entropy Region and Network Information Theory (2011, Dissertation (Ph.D.))
• London, Palma Alise den Nijs — Frameworks for High Dimensional Convex Optimization (2021, Dissertation (Ph.D.))
• Korlakai Vinayak, Ramya — Graph Clustering: Algorithms, Analysis and Query Design (2018, Dissertation (Ph.D.))
• Eldjarn Hjoerleifsson, Kristjan — Graph Modeling for Genomics and Epidemiology (2023, Dissertation (Ph.D.))
• Voloshin, Cameron — Guaranteed Policy Performance in Reinforcement Learning (2024, Dissertation (Ph.D.))
• Guo, Linqi — Impact of Transmission Network Topology on Electrical Power Systems (2019, Dissertation (Ph.D.))
• Mao, Wei — Information-Theoretic Studies and Capacity Bounds: Group Network Codes and Energy Harvesting Communication Systems (2015, Dissertation (Ph.D.))
• Azizan Ruhi, Navid — Large-Scale Intelligent Systems: From Network Dynamics to Optimization Algorithms (2021, Dissertation (Ph.D.))
• Lale, Ali Sahin — Learning and Control of Dynamical Systems (2023, Dissertation (Ph.D.))
• Yeh, Christopher Tzong-Ran — Learning Decision-Focused Uncertainty Representations: Theory and Applications in Sustainability (2026, Dissertation (Ph.D.))
• Song, Jialin — Learning to Optimize: from Theory to Practice (2021, Dissertation (Ph.D.))
• Li, Tongxin — Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids (2023, Dissertation (Ph.D.))
• Liu, Hao — Leveraging Structural Uncertainty for Decision Making: from Classical Methods to Foundation Model Agents (2026, Dissertation (Ph.D.))
• Buchfuhrer, David Isaac — Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects (2011, Dissertation (Ph.D.))
• Christianson, Nicolas Henry — Machine Learning-Augmented Algorithms: Theory and Applications in Energy and Sustainability (2025, Dissertation (Ph.D.))
• Bakshi, Mayank — Network Coding and Distributed Compression over Large Networks: Some Basic Principles (2012, Dissertation (Ph.D.))
• Le, Hoang Minh — New Frameworks for Structured Policy Learning (2020, 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.))
• 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.))
• Su, Yu — Optimizing Cloud AI Platforms: Resource Allocation and Market Design (2021, Dissertation (Ph.D.))
• Ren, Xiaoqi — Optimizing Resource Management in Cloud Analytics Services (2018, Dissertation (Ph.D.))
• Bodine-Baron, Elizabeth Anne — Peer Effects in Social Networks: Search, Matching Markets, and Epidemics (2012, Dissertation (Ph.D.))
• Lin, Yiheng — Predictions and Policy Optimization in Online Decision Making (2025, Dissertation (Ph.D.))
• Zhao, Changhong — Real-Time Load-Side Control of Electric Power Systems (2016, Dissertation (Ph.D.))
• Bruer, John Jacob — Recovering Structured Low-rank Operators Using Nuclear Norms (2017, Dissertation (Ph.D.))
• Thrampoulidis, Christos — Recovering Structured Signals in High Dimensions via Non-Smooth Convex Optimization: Precise Performance Analysis (2016, Dissertation (Ph.D.))
• Goel, Gautam — Regret-Optimal Control (2022, Dissertation (Ph.D.))
• Kargin, Taylan — Reliable Autonomy Under Uncertainty: From Learning-Based to Non-Rational Control (2025, Dissertation (Ph.D.))
• Shi, Guanya — Reliable Learning and Control in Dynamic Environments: Towards Unified Theory and Learned Robotic Agility (2023, Dissertation (Ph.D.))
• Keller, Sean Jason — Robust Near-Threshold QDI Circuit Analysis and Design (2014, Dissertation (Ph.D.))
• Yu, Jing — Safe and Scalable Learning-Based Control: Theory and Application in Sustainable Energy Systems (2025, Dissertation (Ph.D.))
• Nair, Jayakrishnan U. — Scheduling for Heavy-Tailed and Light-Tailed Workloads in Queueing Systems (2012, Dissertation (Ph.D.))
• Liu, Annie Hsin-Wen — Sensor Networks for Geospatial Event Detection - Theory and Applications (2013, Dissertation (Ph.D.))
• Teke, Oguzhan — Signals on Networks: Random Asynchronous and Multirate Processing, and Uncertainty Principles (2021, Dissertation (Ph.D.))
• Ren, Xiaoqi — Speculation-Aware Resource Allocation for Cluster Schedulers (2015, Master's thesis)
• Liu, Zhenhua — Sustainable IT and IT for Sustainability (2014, Dissertation (Ph.D.))
• Lee, Zachary Jordan — The Adaptive Charging Network Research Portal: Systems, Tools, and Algorithms (2021, Dissertation (Ph.D.))
• Gordon, Spencer Lane — The Identification of Discrete Mixture Models (2023, Dissertation (Ph.D.))
• Cummings, Rachel Autumn Dixon — The Implications of Privacy-Aware Choice (2017, Dissertation (Ph.D.))
• Tang, Yujie — Time-Varying Optimization and Its Application to Power System Operation (2019, Dissertation (Ph.D.))
• Van Horn, Grant Richard — Towards a Visipedia: Combining Computer Vision and Communities of Experts (2019, Dissertation (Ph.D.))
• Werner, Lucien Desloge — Uncertainty and Decentralization: Two Themes in an Energy Transformation (2023, Dissertation (Ph.D.))
• Zhao, Jiawei — Understanding and Improving Efficiency in Training of Deep Neural Networks (2025, Dissertation (Ph.D.))
• Huang, Yujia — Understanding and Improving Reliability of Inference Dynamics in Deep Neural Networks (2024, Dissertation (Ph.D.))
• Zellinger, Michael J. — White Elephants and Cash Cows: Economically Wrangling the Zoo of AI Models (2026, Dissertation (Ph.D.))