Ion Matei

According to our database, Ion Matei authored at least 53 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

System Resilience through Health Monitoring and Reconfiguration.

Ion Matei, Wiktor Piotrowski, Alexandre Perez, Johan de Kleer, Jorge Tierno, Wendy Mungovan, Vance Turnewitsch

ACM Trans. Cyber Phys. Syst., January, 2024

2023

A Controlled Mean Field Model for Chiplet Population Dynamics.

Iman Nodozi, Abhishek Halder, Ion Matei

IEEE Control. Syst. Lett., 2023

CONSTRUCT: A Program Synthesis Approach for Reconstructing Control Algorithms from Embedded System Binaries in Cyber-Physical Systems.

Ali Shokri, Alexandre Perez, Souma Chowdhury, Chen Zeng, Gerald Kaloor, Ion Matei, Peter-Patel Schneider, Akshith Gunasekaran, Shantanu Rane

CoRR, 2023

AI Enhanced Control Engineering Methods.

Ion Matei, Raj Minhas, Johan de Kleer, Alexander Feldman

CoRR, 2023

2D Density Control of Micro-Particles using Kernel Density Estimation.

Ion Matei, Johan de Kleer, Maksym Zhenirovskyy

Proceedings of the American Control Conference, 2023

2022

A Quantum Algorithm for Computing All Diagnoses of a Switching Circuit.

Alexander Feldman, Johan de Kleer, Ion Matei

CoRR, 2022

Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints.

Ion Matei, Maksym Zhenirovskyy, Johan de Kleer, John Maxwell III

CoRR, 2022

2021

Controlling Draft Interactions Between Quadcopter Unmanned Aerial Vehicles with Physics-aware Modeling.

Ion Matei, Chen Zeng, Souma Chowdhury, Rahul Rai, Johan de Kleer

J. Intell. Robotic Syst., 2021

Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model.

Christos N. Mavridis, Amoolya Tirumalai, John S. Baras, Ion Matei

CoRR, 2021

Micro-scale chiplet assembly control with chiplet-to-chiplet potential interaction.

Ion Matei, Anne Plochowietz, Johan de Kleer, John S. Baras

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Interpretable machine learning models: a physics-based view.

Ion Matei, Johan de Kleer, Christoforos Somarakis, Rahul Rai, John S. Baras

CoRR, 2020

Hybrid modeling: Applications in real-time diagnosis.

Ion Matei, Johan de Kleer, Alexander Feldman, Rahul Rai, Souma Chowdhury

CoRR, 2020

A physics-aware learning architecture with input transfer networks for predictive modeling.

Amir Behjat, Chen Zeng, Rahul Rai, Ion Matei, David S. Doermann, Souma Chowdhury

Appl. Soft Comput., 2020

Micro-scale 2D chiplet position control: a formal approach to policy design.

Ion Matei, Johan de Kleer, Christoforos Somarakis, Anne Plochowietz, John S. Baras

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning physical laws: the case of micron size particles in dielectric fluid.

Ion Matei, Maksym Zhenirovskyy, Johan de Kleer, Christoforos Somarakis, John S. Baras

Proceedings of the 2020 American Control Conference, 2020

Deep Learning for Control: a non-Reinforcement Learning View.

Ion Matei, Raj Minhas, Maksym Zhenirovskyy, Johan de Kleer, Rahul Rai

Proceedings of the 2020 American Control Conference, 2020

Efficient Model-Based Diagnosis of Sequential Circuits.

Alexander Feldman, Ingo Pill, Franz Wotawa, Ion Matei, Johan de Kleer

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Analog Accelerator for Simulation and Diagnostics.

Alexander Feldman, Ion Matei, Emil Totev, Johan de Kleer

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Design Space Exploration as Quantified Satisfaction.

Alexander Feldman, Johan de Kleer, Ion Matei

CoRR, 2019

PI-LSTM: Physics-Infused Long Short-Term Memory Network.

Shubhendu Kumar Singh, Ruoyu Yang, Amir Behjat, Rahul Rai, Souma Chowdhury, Ion Matei

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Inferring Particle Interaction Physical Models and Their Dynamical Properties.

Ion Matei, Christos N. Mavridis, John S. Baras, Maksym Zhenirovskyy

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning constitutive equations of physical components with predefined feasibility conditions.

Ion Matei, Johan de Kleer, Maksym Zhenirovskyy, Alexander Feldman

Proceedings of the 2019 American Control Conference, 2019

2018

Model-based diagnosis: A frequency domain view.

Ion Matei, Alexander Feldman, Johan de Kleer

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Analog Implementation of Optimization Algorithms: A Distributed Optimization View.

Ion Matei, Alexander Feldman, Johan de Kleer

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning constitutive equations of physical components with constraints discovery.

Ion Matei, Johan de Kleer, Raj Minhas

Proceedings of the 2018 Annual American Control Conference, 2018

2017

An Extension of the Systems Modeling Language for Physical Interaction and Signal Flow Simulation.

Conrad Bock, Raphael Barbau, Ion Matei, Mehdi Dadfarnia

Syst. Eng., 2017

Recognizing Abnormal Heart Sounds Using Deep Learning.

Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan

Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Improving state-action space exploration in reinforcement learning using geometric properties.

Ion Matei, Raj Minhas, Johan de Kleer, Anurag Ganguli

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Towards printing as an electronics manufacturing method: Micro-scale chiplet position control.

Ion Matei, Saigopal Nelaturi, Jeng Ping Lu, Julie A. Bert, Lara S. Crawford, Eugene Chow

Proceedings of the 2017 American Control Conference, 2017

Reachability analysis for linear hybrid set-dynamics driven by random convex compact sets.

Ion Matei, John S. Baras

Proceedings of the 2017 American Control Conference, 2017

2016

Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients.

Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

A Generalized Gossip Algorithm on Convex Metric Spaces.

Ion Matei, Christoforos Somarakis, John S. Baras

IEEE Trans. Autom. Control., 2015

The Asymptotic Consensus Problem on Convex Metric Spaces.

Ion Matei, John S. Baras

IEEE Trans. Autom. Control., 2015

The Case for a Hybrid Approach to Diagnosis: A Railway Switch.

Ion Matei, Anurag Ganguli, Tomonori Honda, Johan de Kleer

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Distributed nonlinear programming methods for optimization problems with inequality constraints.

Ion Matei, John S. Baras

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

An extension of the method of multipliers for distributed nonlinear programming.

Ion Matei, John S. Baras, Marzieh Nabi, Tolga Kurtoglu

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Convergence Results for the Linear Consensus Problem under Markovian Random Graphs.

Ion Matei, John S. Baras, Christoforos Somarakis

SIAM J. Control. Optim., 2013

Distributed algorithms for optimization problems with equality constraints.

Ion Matei, John S. Baras

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

A linear distributed filter inspired by the Markovian jump linear system filtering problem.

Ion Matei, John S. Baras

Autom., 2012

Consensus-based linear distributed filtering.

Ion Matei, John S. Baras

Autom., 2012

Reachability analysis for linear discrete time set-dynamics driven by random convex compact sets.

Sasa V. Rakovic, Ion Matei, John S. Baras

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A randomized gossip consensus algorithm on convex metric spaces.

Ion Matei, Christoforos Somarakis, John S. Baras

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Optimal State Estimation for Discrete-Time Markovian Jump Linear Systems, in the Presence of Delayed Output Observations.

Ion Matei, John S. Baras

IEEE Trans. Autom. Control., 2011

Performance Evaluation of the Consensus-Based Distributed Subgradient Method Under Random Communication Topologies.

Ion Matei, John S. Baras

IEEE J. Sel. Top. Signal Process., 2011

Power allocation policy for distributed estimation in wireless networks.

Ion Matei, John S. Baras

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

The geometry of a probabilistic consensus of opinion algorithm.

Ion Matei, John S. Baras

Proceedings of the American Control Conference, 2011

2010

Generalized Distributed consensus-based Algorithms for uncertain Systems and Networks.

Ion Matei

PhD thesis, 2010

Consensus-based distributed linear filtering.

Ion Matei, John S. Baras

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

A composite trust model and its application to collaborative distributed information fusion.

Ion Matei, John S. Baras, Tao Jiang

Proceedings of the 12th International Conference on Information Fusion, 2009

Consensus problems with directed Markovian communication patterns.

Ion Matei, Nuno C. Martins, John S. Baras

Proceedings of the American Control Conference, 2009

2008

Optimal state estimation for discrete-time Markovian Jump Linear Systems, in the presence of delayed output observations.

Ion Matei, Nuno C. Martins, John S. Baras

Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Almost sure convergence to consensus in Markovian random graphs.

Ion Matei, Nuno C. Martins, John S. Baras

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Optimal state estimation for discrete-time Markovian Jump Linear Systems, in the presence of delayed mode observations.

Ion Matei, Nuno C. Martins, John S. Baras

Proceedings of the American Control Conference, 2008