Publications

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A
Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems, Shmarov, F., Soudjani S., Paoletti N., Bartocci E., Lin S., Smolka S. A., and Zuliani P. , IEEE Access, (2020)
B
Bayesian Neural Predictive Monitoring, Bortolussi, L., Cairoli F., Paoletti N., Smolka S. A., and Stoller S. D. , Proceedings of OVERLAY-20, Second Workshop on Formal Methods for AI, 09/2020, (2020)
Bifurcation Analysis of Cardiac Alternans Using δ -Decidability., Islam, Md. Ariful, Byrne Greg, Kong Soonho, Clarke Edmund M., Cleaveland Rance, Fenton Flavio H., Grosu Radu, Jones Paul L., and Smolka Scott A. , CMSB, (2016)  (795.28 KB)
C
Closed-loop quantitative verification of rate-adaptive pacemakers, Paoletti, Nicola, Patanè Andrea, and Kwiatkowska Marta , ACM Transactions on Cyber-Physical Systems, to appear, (2017)
Closed-loop quantitative verification of rate-adaptive pacemakers, Paoletti, Nicola, Patanè Andrea, and Kwiatkowska Marta , ACM Transactions on Cyber-Physical Systems, to appear, (2017)
Collision Avoidance for Mobile Robots with Limited Sensing and Limited Information about Moving Obstacles, Phan, D., Yang J., Grosu R., Smolka S. A., and Stoller S. D. , Formal Methods in System Design, 01/2017, (2017)
Cybercardia project: Modeling, verification and validation of implantable cardiac devices, Islam, Md Ariful, Lim Hyunkyung, Paoletti Nicola, Abbas Houssam, Jiang Zhihao, Cyranka Jacek, Cleaveland Rance, Gao Sicun, Clarke Edmund, Grosu Radu, et al. , 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), (2016)
D
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas, Paoletti, N., Liu K. S., Chen H., Smolka S. A., and Lin S. , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11/2020, Volume 17, Issue 6, (2020)
Data-Driven Robust Control for Type 1 Diabetes Under Meal and Exercise Uncertainties, Paoletti, Nicola, Liu Kin Sum, Smolka Scott A., and Lin Shan , Computational Methods in Systems Biology, (2017)
Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics, Pathmanathan, Pras, Galappaththige Suran K., Cordeiro Jonathan M., Kaboudian Abouzar, Fenton Flavio H., and Gray Richard A. , Frontiers in physiology, 11/2020, Volume 11, (2020)
Declarative vs Rule-based Control for Flocking Dynamics, Mehmood, Usama, Paoletti Nicola, Phan Dung, Grosu Radu, Lin Shan, Stoller Scott D., Tiwari Ashish, Yang Junxing, and Smolka Scott A. , Proceedings of the 33rd Annual ACM Symposium on Applied Computing, New York, NY, USA, (2018)  (904.24 KB)
Declarative vs Rule-based Control for Flocking Dynamics, Mehmood, Usama, Paoletti Nicola, Phan Dung, Grosu Radu, Lin Shan, Stoller Scott D., Tiwari Ashish, Yang Junxing, and Smolka Scott A. , Proceedings of the 33rd Annual ACM Symposium on Applied Computing, New York, NY, USA, (2018)  (904.24 KB)
E
Excitable dynamics in neural and cardiac systems, Barrio, Roberto, Coombes Stephen, Desroches Mathieu, Fenton Flavio, Luther Stefan, and Pueyo Esther , Communications in Nonlinear Science and Numerical Simulation, 07/2020, Volume 86, (2020)
M
MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas, Chen, H., Paoletti N., Smolka S. A., and Lin S. , Proceedings of CDC 2021, the 60th IEEE Conference on Decision and Control, 12/2021, (2021)
N
Neural Predictive Monitoring and a Comparison of Frequentist and Bayesian Approaches, Bortolussi, L., Cairoli F., Paoletti N., Smolka S. A., and Stoller S. D. , International Journal on Software Tools for Technology Transfer, 05/2021, (2021)
Neural Simplex Architecture, Phan, Dung T., Grosu Radu, Jansen Nils, Paoletti Nicola, Smolka Scott A., and Stoller Scott D. , (2020)
Neural Simplex Architecture, Phan, Dung T., Grosu Radu, Jansen Nils, Paoletti Nicola, Smolka Scott A., and Stoller Scott D. , (2020)
Neural State Classification for Hybrid Systems, Phan, Dung, Paoletti Nicola, Zhang Timothy, Grosu Radu, Smolka Scott A., and Stoller Scott D. , Proc.\ 16th International Symposium on Automated Technology for Verification and Analysis (ATVA 2018), (2018)  (528.72 KB)
Neural State Classification for Hybrid Systems, Phan, Dung, Paoletti Nicola, Zhang Timothy, Grosu Radu, Smolka Scott A., and Stoller Scott D. , Proc.\ 16th International Symposium on Automated Technology for Verification and Analysis (ATVA 2018), (2018)  (528.72 KB)
S
SMT-based Synthesis of Safe and Robust PID Controllers for Stochastic Hybrid Systems, Shmarov, Fedor, Paoletti Nicola, Bartocci Ezio, Lin Shan, Smolka Scott, and Zuliani Paolo , Haifa Verification Conference, to appear, (2017)
T
Towards Automated Comprehension and Alignment of Cardiac Models at the System Invariant Level, Huang, Samuel, Diep Madeline, Jang Kuk, Cherry Elizabeth M., Fenton Flavio H., Cleaveland Rance, Lindvall Mikael, Mangharam Rahul, and Porter Adam , CSBio'20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics, (2020)