A mobile network for mobile sensors. - Andrea Simonetto; Paul Scerri; Katia P. Sycara (FUSION, 2008)

Distributed Algebraic Connectivity Maximization for Robotic Networks: A Heuristic Approach. - Andrea Simonetto; Tamás Keviczky; Robert Babuska (DARS, 2010)

Distributed nonlinear estimation for robot localization using weighted consensus. - Andrea Simonetto; Tamás Keviczky; Robert Babuska (ICRA, 2010)

On distributed maximization of algebraic connectivity in robotic networks. - Andrea Simonetto; Tamás Keviczky; Robert Babuska (ACC, 2011)

Distributed multi-target tracking via mobile robotic networks: A localized non-iterative SDP approach. - Andrea Simonetto; Tamás Keviczky (CDC/ECC, 2011)

Distributed solution for a Maximum Variance Unfolding Problem with sensor and robotic network applications. - Andrea Simonetto; Tamás Keviczky; Dimos V. Dimarogonas (Allerton Conference, 2012)

A regularized saddle-point algorithm for networked optimization with resource allocation constraints. - Andrea Simonetto; Tamás Keviczky; Mikael Johansson 001 (CDC, 2012)

Distributed Estimation and Control for Robotic Networks. - Andrea Simonetto (2012)

Tracking position and orientation of a mobile rigid body. - Sundeep Prabhakar Chepuri; Andrea Simonetto; Geert Leus; Alle-Jan van der Veen (CAMSAP, 2013)

Adapting Particle Filter Algorithms to Many-Core Architectures. - Mehdi Chitchian; Alexander S. van Amesfoort; Andrea Simonetto; Tamás Keviczky; Henk J. Sips (IPDPS, 2013)

Constrained distributed algebraic connectivity maximization in robotic networks. - Andrea Simonetto; Tamás Keviczky; Robert Babuska (Autom., 2013)

Indagini in Deep Inference. - Andrea Simonetto (CoRR, 2013)

On Distributed Optimization, Convex Relaxations, and Sensor Network Localization Problems. - Andrea Simonetto; Geert Leus (CoRR, 2013)

Distributed Computation Particle Filters on GPU Architectures for Real-Time Control Applications. - Mehdi Chitchian; Andrea Simonetto; Alexander S. van Amesfoort; Tamás Keviczky (IEEE Trans. Control. Syst. Technol., 2013)

Distributed asynchronous time-varying constrained optimization. - Andrea Simonetto; Geert Leus (ACSSC, 2014)

Sparsity-aware sensor selection for correlated noise. - Hadi Jamali Rad; Andrea Simonetto; Geert Leus; Xiaoli Ma (FUSION, 2014)

Double smoothing for time-varying distributed multiuser optimization. - Andrea Simonetto; Geert Leus (GlobalSIP, 2014)

A moving horizon convex relaxation for mobile sensor network localization. - Andrea Simonetto; Geert Leus (SAM, 2014)

Distributed Time-Varying Stochastic Optimization and Utility-Based Communication. - Andrea Simonetto; Leon Kester; Geert Leus (CoRR, 2014)

Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms. - Hadi Jamali Rad; Andrea Simonetto; Geert Leus (IEEE Signal Process. Lett., 2014)

Distributed Maximum Likelihood Sensor Network Localization. - Andrea Simonetto; Geert Leus (IEEE Trans. Signal Process., 2014)

Prediction-correction methods for time-varying convex optimization. - Andrea Simonetto; Alec Koppel; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (ACSSC, 2015)

Stochastic graph filtering on time-varying graphs. - Elvin Isufi; Andrea Simonetto; Andreas Loukas; Geert Leus (CAMSAP, 2015)

On non-differentiable time-varying optimization. - Andrea Simonetto; Geert Leus (CAMSAP, 2015)

A decentralized prediction-correction method for networked time-varying convex optimization. - Andrea Simonetto; Aryan Mokhtari; Alec Koppel; Geert Leus; Alejandro Ribeiro (CAMSAP, 2015)

Target tracking with dynamic convex optimization. - Alec Koppel; Andrea Simonetto; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (GlobalSIP, 2015)

SoC-Based Pattern Recognition Systems for Non Destructive Testing. - Omar Schiaratura; Pietro Ansaloni; Giovanni Lughi; Mattia Neri; Matteo Roffilli; Fabrizio Serpi; Andrea Simonetto (MOD, 2015)

Distributed Autoregressive Moving Average Graph Filters. - Andreas Loukas; Andrea Simonetto; Geert Leus (IEEE Signal Process. Lett., 2015)

Distributed Sparsity-Aware Sensor Selection. - Hadi Jamali Rad; Andrea Simonetto; Xiaoli Ma; Geert Leus (IEEE Trans. Signal Process., 2015)

Design of distributed controllers seeking optimal power flow solutions under communication constraints. - Emiliano Dall'Anese; Andrea Simonetto; Sairaj V. Dhople (CDC, 2016)

A Quasi-newton prediction-correction method for decentralized dynamic convex optimization. - Andrea Simonetto; Alec Koppel; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (ECC, 2016)

Separable autoregressive moving average graph-temporal filters. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (EUSIPCO, 2016)

Distributed Time-Varying Graph Filtering. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (CoRR, 2016)

Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization. - Andrea Simonetto; Hadi Jamali Rad (J. Optim. Theory Appl., 2016)

Spatio-temporal sensor management for environmental field estimation. - Venkat Roy; Andrea Simonetto; Geert Leus (Signal Process., 2016)

A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. - Andrea Simonetto; Aryan Mokhtari; Alec Koppel; Geert Leus; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources. - Emiliano Dall'Anese; Andrey Bernstein; Andrea Simonetto (GlobalSIP, 2017)

Consistent sensor, relay, and link selection in wireless sensor networks. - Rocio Arroyo-Valles; Andrea Simonetto; Geert Leus (Signal Process., 2017)

Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. - Andrea Simonetto; Alec Koppel; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2017)

Autoregressive Moving Average Graph Filtering. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (IEEE Trans. Signal Process., 2017)

Filtering Random Graph Processes Over Random Time-Varying Graphs. - Elvin Isufi; Andreas Loukas; Andrea Simonetto; Geert Leus (IEEE Trans. Signal Process., 2017)

Prediction-Correction Algorithms for Time-Varying Constrained Optimization. - Andrea Simonetto; Emiliano Dall'Anese (IEEE Trans. Signal Process., 2017)

Prediction-Correction Dual Ascent for Time-Varying Convex Programs. - Andrea Simonetto (ACC, 2018)

Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement. - Venkat Roy; Andrea Simonetto; Geert Leus (Sensors, 2018)

An Incentive-Based Online Optimization Framework for Distribution Grids. - Xinyang Zhou; Emiliano Dall'Anese; Lijun Chen 001; Andrea Simonetto (IEEE Trans. Autom. Control., 2018)

Optimal Power Flow Pursuit. - Emiliano Dall'Anese; Andrea Simonetto (IEEE Trans. Smart Grid, 2018)

Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization. - Nicola Bastianello; Andrea Simonetto; Ruggero Carli (ECC, 2019)

Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes. - Nicola Bastianello; Andrea Simonetto; Ruggero Carli (ICASSP, 2019)

On the needs for MaaS platforms to handle competition in ridesharing mobility. - Venktesh Pandey; Julien Monteil; Claudio Gambella; Andrea Simonetto (CoRR, 2019)

A city-scale IoT-enabled ridesharing platform. - Claudio Gambella; Julien Monteil; Anton Dekusar; Sergio Cabrero Barros; Andrea Simonetto; Yassine Lassoued (CoRR, 2019)

On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method. - Emiliano Dall'Anese; Andrea Simonetto; Andrey Bernstein (IEEE Control. Syst. Lett., 2019)

Dual Prediction-Correction Methods for Linearly Constrained Time-Varying Convex Programs. - Andrea Simonetto (IEEE Trans. Autom. Control., 2019)

Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization. - Andrey Bernstein; Emiliano Dall'Anese; Andrea Simonetto (IEEE Trans. Signal Process., 2019)

Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. - Albert Akhriev; Jakub Marecek; Andrea Simonetto (AAAI, 2020)

Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization. - Nicola Bastianello; Andrea Simonetto; Ruggero Carli (ACSSC, 2020)

Inexact Online Proximal-gradient Method for Time-varying Convex Optimization. - Amirhossein Ajalloeian; Andrea Simonetto; Emiliano Dall'Anese (ACC, 2020)

Smooth Strongly Convex Regression. - Andrea Simonetto (EUSIPCO, 2020)

Personalized Demand Response via Shape-Constrained Online Learning. - Ana M. Ospina; Andrea Simonetto; Emiliano Dall'Anese (SmartGridComm, 2020)

Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization. - Nicola Bastianello; Andrea Simonetto; Ruggero Carli (CoRR, 2020)

Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations. - Nicola Bastianello; Andrea Simonetto; Ruggero Carli (IEEE Control. Syst. Lett., 2020)

Time-Varying Convex Optimization: Time-Structured Algorithms and Applications. - Andrea Simonetto; Emiliano Dall'Anese; Santiago Paternain; Geert Leus; Georgios B. Giannakis (Proc. IEEE, 2020)

Optimization and Learning With Information Streams: Time-varying algorithms and applications. - Emiliano Dall'Anese; Andrea Simonetto; Stephen Becker; Liam Madden (IEEE Signal Process. Mag., 2020)

Dynamic Distribution State Estimation Using Synchrophasor Data. - Jianhan Song; Emiliano Dall'Anese; Andrea Simonetto; Hao Zhu 001 (IEEE Trans. Smart Grid, 2020)

Personalized optimization with user's feedback. - Andrea Simonetto; Emiliano Dall'Anese; Julien Monteil; Andrey Bernstein (Autom., 2021)

Achievement and Fragility of Long-term Equitability. - Andrea Simonetto; Ivano Notarnicola (AIES, 2022)

Learning equilibria with personalized incentives in a class of nonmonotone games. - Filippo Fabiani; Andrea Simonetto; Paul J. Goulart (ECC, 2022)

OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. - Nicola Bastianello; Andrea Simonetto; Emiliano Dall'Anese (L4DC, 2022)

Sketching the Best Approximate Quantum Compiling Problem. - Liam Madden; Albert Akhriev; Andrea Simonetto (QCE, 2022)

Optimal Power Flow Pursuit in the Alternating Current Model. - Jie Liu 036; Antonio Bellon; Andrea Simonetto; Martin Takác 001; Jakub Marecek (CoRR, 2022)

Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts. - Eliabelle Mauduit; Andrea Simonetto (ACSSC, 2023)

Optimization Filters for Stochastic Time-Varying Convex Optimization. - Andrea Simonetto; Paolo Massioni (ECC, 2023)

Optimizing Variational Circuits for Higher-Order Binary Optimization. - Zoé Verchère; Sourour Elloumi; Andrea Simonetto (QCE, 2023)

Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents. - Filippo Fabiani; Andrea Simonetto (CoRR, 2023)

Towards the Decarbonization of the Mobility Sector: Promoting Renewable-Based Charging in Green Ride-Sharing. - Elisabetta Perotti; Ana M. Ospina; Gianluca Bianchin; Andrea Simonetto; Emiliano Dall'Anese (CoRR, 2023)

Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization. - Nicola Bastianello; Ruggero Carli; Andrea Simonetto (Signal Process., 2023)

Distributed Personalized Gradient Tracking With Convex Parametric Models. - Ivano Notarnicola; Andrea Simonetto; Francesco Farina; Giuseppe Notarstefano (IEEE Trans. Autom. Control., 2023)

Time-Varying Optimization of Networked Systems With Human Preferences. - Ana M. Ospina; Andrea Simonetto; Emiliano Dall'Anese (IEEE Trans. Control. Netw. Syst., 2023)

Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems. - Filippo Fabiani; Andrea Simonetto; Paul J. Goulart (IEEE Trans. Autom. Control., 2023)

MAPL: Model Agnostic Peer-to-peer Learning. - Sayak Mukherjee; Andrea Simonetto; Hadi Jamali Rad (CoRR, 2024)

Flexible Optimization for Cyber-Physical and Human Systems. - Andrea Simonetto (IEEE Control. Syst. Lett., 2024)

Incentives and Coevolution: Steering Linear Dynamical Systems With Noncooperative Agents. - Filippo Fabiani; Andrea Simonetto (IEEE Trans. Control. Netw. Syst., 2024)

Noisy-enhanced quantum search on complex networks. - Ugo Nzongani; Andrea Simonetto; Giuseppe Di Molfetta (CoRR, 2025)