2025
Xiaoqiao
Chen
Active Acquisition Methods for Single Cell Genomics
Thomson
Jing
Yu
Safe and Scalable Learning-Based Control: Theory and Application in Sustainable Energy Systems
Doyle, Wierman
2024
Apurva Srinivas
Badithela
Test and Evaluation of Autonomous Systems: Reactive Test Synthesis and Task-Relevant Evaluation of Perception
Murray
Dmitry Anatolyevich
Burov
Kernel Methods for Learning About Complex Dynamical Systems
Stuart
Dimitar Mi
Ho
Control of Unknown Dynamical Systems: Robustness and Online Learning of Feedback Control
Doyle
Hsin-Yuan
Huang
Learning in the Quantum Universe
Preskill, Vidick
Daniel Victor
Leibovici
General Domain FC-Based Shock Dynamics Solver
Bruno
Jing Shuang (Lisa)
Li
Distributed Control Theory for Biological and Cyberphysical Systems
Bijan Henrik Socrates
Mazaheri
Combining Sources and Leveraging Contexts
Bruck, Schulman
Ayush
Pandey
Modeling Frameworks for Modular and Scalable Biological Circuit Design
Yousuf Mounir
Soliman
Discrete Constrained Willmore Surfaces
Schroeder
Jennifer Jianing
Sun
AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning
Perona, Yue
Cameron
Voloshin
Guaranteed Policy Performance in Reinforcement Learning
Yue
Skylar Xueyao
Wei
Data-Driven Safety-Critical Autonomy in Unknown, Unstructured, and Dynamic Environments
Burdick
2023
Carmen
Amo Alonso
Distributed and Localized Model Predictive Control
Christoph
Bauinger
The "Interpolated Factored Green Function" Method
Sara Meghan
Beery
Where the Wild Things Are: Computer Vision for Global-Scale Biodiversity Monitoring
Perona
Yifan
On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems
Hou, Owhadi, Stuart
Elijah Henry John
Cole
Visual and Spatial Representation Learning with Applications in Ecology
Anushri C.
Dixit
Risk-Aware Planning and Control in Extreme Environments
Victor David
Dorobantu
Geometry and Dynamical Systems in Machine Learning and Control
Kristjan
Eldjarn Hjoerleifsson
Graph Modeling for Genomics and Epidemiology
Pachter
Spencer Lane
Gordon
The Identification of Discrete Mixture Models
Schulman, Vidick
SooJean
Han
Control and State-Estimation of Jump Stochastic Systems by Learning Recurrent Spatiotemporal Patterns
Chung, Doyle
Matthew Emanuel
Levine
Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data
Tongxin
Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids
Low, Wierman
Alexander Mario
Poremba
Revocable Cryptography in a Quantum World
Vidick
Guanya
Shi
Reliable Learning and Control in Dynamic Environments: Towards Unified Theory and Learned Robotic Agility
Chung, Yue
Andrew James
Taylor
Robust Safety-Critical Control: A Lyapunov and Barrier Approach
Ames
Lucien Desloge
Werner
Uncertainty and Decentralization: Two Themes in an Energy Transformation
Shumao
Zhang
Singularity Formation in the High-Dimensional Euler Equations and Sampling of High-Dimensional Distributions by Deep Generative Networks
Hou
Ziyun
Low-Rank Matrix Recovery: Manifold Geometry and Global Convergence
2022
Jiajie
Singularity Formation in Incompressible Fluids and Related Models
Carl A. A.
Folkestad
Koopman-based Learning and Control of Agile Robotic Systems
Gautam
Goel
Regret-Optimal Control
Hassibi
Nikola Borislavov
Kovachki
Machine Learning and Scientific Computing
Liang
Cascading Failures in Power Systems: Modeling, Characterization, and Mitigation
Jenish Chetan
Mehta
Combinatorial and Algebraic Propeties of Nonnegative Matrices
Eric
Zhan
New Algorithms for Programmatic Deep Learning with Applications to Behavior Modeling
2021
Thomas Geoffrey
Anderson
Hybrid Frequency-Time Analysis and Numerical Methods for Time-Dependent Wave Propagation
Navid
Azizan Ruhi
Large-Scale Intelligent Systems: From Network Dynamics to Optimization Algorithms
Hassibi, Wierman
Karena Xin
Cai
Safe and Interpretable Autonomous Systems Design: Behavioral Contracts and Semantic-Based Perception
Chung, Murray
Palma Alise den Nijs
London
Frameworks for High Dimensional Convex Optimization
Wierman
Riley John
Applications of Convex Analysis to Signomial and Polynomial Nonnegativity Problems
Chandrasekaran, Wierman
Ellen Rachel
Novoseller
Online Learning from Human Feedback with Applications to Exoskeleton Gait Optimization
Burdick, Yue
Xinying (Cindy)
Ren
Principles for Designing Robust and Stable Synthetic Microbial Consortia
Florian Tobias
Schäfer
Inference, Computation, and Games
Owhadi
Jialin
Song
Learning to Optimize: from Theory to Practice
Su
Optimizing Cloud AI Platforms: Resource Allocation and Market Design
2020
Andrea Wei
Coladangelo
Quantum Correlations, Certifying Quantum Devices, and the Quest for Infinite Entanglement
Michael William (Milan0
Cvitkovic
Deep Learning in Unconventional Domains
Sumanth
Dathathri
Scalable Synthesis and Verification: Towards Reliable Autonomy
Agustin Gabriel
Fernandez-Lado
Wave-Scattering by Periodic Media
Emmanuel
Garza Gonzalez
Boundary Integral Equation Methods for Simulation and Design of Photonic Devices
De
Positive Definite Matrices: Compression, Decomposition, Eigensolver, and Concentration
Hoang Minh
Le
New Frameworks for Structured Policy Learning
Matteo Ruggero
Ronchi
Vision for Social Robots: Human Perception and Pose Estimation
2019
Maxim A.
Budninskiy
Geometry-Driven Model Reduction
Desbrun
Ioannis
Filippidis
Decomposing Formal Specifications Into Assume-Guarantee Contracts for Hierarchical System Design
Zhongzheng
Fu
Representations of Action Monitoring and Cognitive Control by Single Neurons in the Human Brain
Adolphs, Rutishauser
Linqi
Guo
Impact of Transmission Network Topology on Electrical Power Systems
Low
Yorie
Nakahira
Connecting the Speed-Accuracy Trade-Offs in Sensorimotor Control and Neurophysiology Reveals Diversity Sweet Spots in Layered Control Architectures
Noah Andrew
Olsman
Architecture, Design, and Tradeoffs in Biomolecular Feedback Systems
Doyle, Goentoro
John Zhen Fu
Pang
Online Platforms in Networked Markets: Transparency, Anticipation and Demand Management
Kevin Qing
Shan
Sparse Deconvolution with Applications to Spike Sorting
Siapas
Yong Sheng
Soh
Fitting Convex Sets to Data: Algorithms and Applications
Chandrasekaran
Grant Richard
Van Horn
Towards a Visipedia: Combining Computer Vision and Communities of Experts
Juba
Ziani
Data: Implications for Markets and for Society
Ligett, Wierman
2018
Ania-Ariadna
Baetica
Design, Analysis, And Computational Methods For Engineering Synthetic Biological Networks
Niangjun
Online Algorithms: From Prediction to Decision
Yoke Peng
Leong
Optimal Controller Synthesis for Nonlinear Systems
Burdick, Doyle
Shaun Cohn
Maguire
The Spectral Theory of Multiboundary Wormholes
Preskill
Xiaoqi
Optimizing Resource Management in Cloud Analytics Services
Anandh
Swaminathan
Application, Computation, and Theory for Synthetic Gene Circuits
2017
John Jacob
Bruer
Recovering Structured Low-rank Operators Using Nuclear Norms
Tropp
Thomas Anthony
Catanach
Computational Methods for Bayesian Inference in Complex Systems
Beck
Yuhua Richard
Concentration Inequalities of Random Matrices and Solving Ptychography with a Convex Relaxation
Albert Ren-Haur
Chern
Fluid Dynamics with Incompressible Schrödinger Flow
Rachel Autumn Dixon
Cummings
The Implications of Privacy-Aware Choice
Ligett
Eyrun-Arna
Eyjolfsdottir
Computational Methods for Behavior Analysis
Zeyu
P-Schemes and Deterministic Polynomial Factoring Over Finite Fields
Umans
Pengfei
Liu
Spatial Profiles in the Singular Solutions of the 3D Euler Equations and Simplified Models
Distributed Optimization and Data Market Design
Carlos Andrés
Pérez Arancibia
Windowed Integral Equation Methods for Problems of Scattering by Defects and Obstacles in Layered Media
Yuh-Shyang
Wang
A System Level Approach to Optimal Controller Design for Large-Scale Distributed Systems
Pengchuan
Compressing Positive Semidefinite Operators with Sparse/Localized Bases
Efficiently Characterizing Games Consistent with Perturbed Equilibrium Observations
Chandrasekaran, Ligett
2016
Eldar
Akhmetgaliyev
Fast Numerical Methods for Mixed, Singular Helmholtz Boundary Value Problems and Laplace Eigenvalue Problems - with Applications to Antenna Design, Sloshing, Electromagnetic Scattering and Spectral Geometry
Gerardo
Cruz
Economic Fluctuations and Capitalistic Production: A Case Study in Robustness Constraints
Doyle, Murray
Vanessa Danielle
Jonsson
Robust Control of Evolutionary Dynamics
Baltimore, Murray
Scott Carlton
Livingston
Incremental Control Synthesis for Robotics in the Presence of Temporal Logic Specifications
Nikolai
Matni
Distributed Optimal Control of Cyber-Physical Systems: Controller Synthesis, Architecture Design and System Identification
Jenish C.
Behavior of O(log n) Local Commuting Hamiltonians
Ivan Igorevych
Papusha
Robustness, Adaptation, and Learning in Optimal Control
Enoch Ho-Yee
Yeung
Reverse Engineering and Quantifying Context Effects in Synthetic Gene Networks
Seungil
You
A Direct Approach to Robustness Optimization
2015
Anish
Agarwal
A Model For Residential Adoption of Photovoltaic Systems
Chandy
Max Anton
Cubillos-Moraga
General-Domain Compressible Navier-Stokes Solvers Exhibiting Quasi-Unconditional Stability and High Order Accuracy in Space and Time
Gemma Ellen
Mason
Full and Model-Reduced Structure-Preserving Simulation of Incompressible Fluids
Speculation-Aware Resource Allocation for Cluster Schedulers