Publications

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A
Adversarial Training is Not Ready for Robot Learning, Lechner, Mathias, Hasani Ramin, Grosu Radu, Rus Daniela, and Henzinger Thomas A. , (2021)
D
Data assimilation for cardiac electrical dynamics, Cherry, E. M., Cairns D. I., Holt N., LaVigne N. S., Fenton F. H., and Hoffman M. J. , Proceedings of the 5th {International} {Conference} on {Computational} and {Mathematical} {Biomedical} {Engineering}, Pittsburgh, PA, (2017)
Distributed Control for Flocking Maneuvers via Acceleration-Weighted Neighborhooding, Roy, S., Mehmood U., Grosu R., Smolka S. A., Stoller S. D., and Tiwari A. , Proceedings of ACC 2021, The 2021 American Control Conference, 06/2021, (2021)
A Distributed Simplex Architecture for Multi-Agent Systems, Mehmood, U., Stoller S. D., Grosu R., Roy S., Damare A., and Smolka S. D. , Proceedings of SETTA 2021, Symposium on Dependable Software Engineering, 11/2021, (2021)
E
Electromechanical vortex filaments during cardiac fibrillation, Christoph, Jan, Chebbok M., Richter Carl, Schröder-Schetelig Johannes, Bittihn Philip, Stein Seth, Uzelac Ilija, FENTON FLAVIO H., Hasenfuss Gerd, Gilmour Robert F., et al. , Nature, Volume 555, p.667+, (2018)  (11.33 MB)
F
A framework for decentralized opacity in linear systems, Ramasubramanian, B., Cleaveland R., and Marcus S. I. , 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Sept, (2016)  (564.69 KB)
A framework for opacity in linear systems, Ramasubramanian, Bhaskar, Cleaveland Rance, and Marcus Steven I. , 2016 American Control Conference, {ACC} 2016, Boston, MA, USA, July 6-8, 2016, (2016)  (159.19 KB)
G
Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme, Lechner, Mathias, Hasani Ramin, Rus Daniela, and Grosu Radu , 2020 IEEE International Conference on Robotics and Automation (ICRA), (2020)
L
Learning Distributed Controllers for V-Formation, Roy, Shouvik, Mehmood Usama, Grosu Radu, Smolka Scott A., Stoller Scott D., and Tiwari Ashish , (2020)
Liquid Time-constant Networks, Hasani, Ramin, Lechner Mathias, Amini Alexander, Rus Daniela, and Grosu Radu , (2020)
M
Modeling bipolar stimulation of cardiac tissue, Galappaththige, Suran K., Gray Richard A., and Roth Bradley J. , Chaos: An Interdisciplinary Journal of Nonlinear Science, Volume 27, p.093920, (2017)
N
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits, Hasani, Ramin, Lechner Mathias, Amini Alexander, Rus Daniela, and Grosu Radu , Proceedings of the 37th International Conference on Machine Learning, 13–18 Jul, (2020)
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers, Roy, Shouvik, Mehmood Usama, Grosu Radu, Smolka Scott A., Stoller Scott D., and Tiwari Ashish , (2020)
O
Opacity for switched linear systems: Notions and characterization, Ramasubramanian, B., Cleaveland R., and Marcus S. I. , 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Dec, (2017)  (512.18 KB)
OpenUAV: A UAV Testbed for the CPS and Robotics Community, Schmittle, Matt, Lukina Anna, Vacek Lukas, Das Jnaneshwar, Buskirk Christopher P., Rees Stephen, Sztipanovits Janos, Grosu Radu, and Kumar Vijay , Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, Piscataway, NJ, USA, (2018)  (825.63 KB)
An Optimization-Based Algorithm for the Construction of Cardiac Purkinje Network Models, Ulysses, Jesuliana N., Berg Lucas A., CHERRY ELIZABETH M., Liu Ben R., Santos Rodrigo W. dos, de Barros Bruno G., Rocha Bernardo M., and de Queiroz Rafael A. B. , IEEE Transactions on Biomedical Engineering, Volume 65, p.2760–2768, (2018)
P
Process Algebra and Model Checking, Cleaveland, Rance, Roscoe A. W., and Smolka Scott A. , Handbook of Model Checking., p.1149–1195, (2018)
Q
Quantitative Regular Expressions for Arrhythmia Detection Algorithms, Abbas, Houssam, Rodionova Alena, Bartocci Ezio, Smolka Scott A., and Grosu Radu , International Conference on Computational Methods in Systems Biology, 09/2017, Darmstadt, Germany , (2017)  (1.06 MB)
S
Security assurance cases for medical cyber–physical systems, Ray, Arnab, and Cleaveland Rance , IEEE Design & Test, Volume 32, p.56–65, (2015)
Single-variable delay-differential equation approximations of the Fitzhugh-Nagumo and Hodgkin-Huxley models, Rameh, Raffael Bechara, CHERRY ELIZABETH M., and Santos Rodrigo Weber dos , Communications in Nonlinear Science and Numerical Simulation, Volume 82, p.105066, (2020)