| A comparison of stealthy sensor attacks on control systems N Hashemi, C Murguia, J Ruths IEEE 2018 Annual American Control Conference (ACC), 973-979, 2018 | 41 | 2018 |
| Certifying incremental quadratic constraints for neural networks via convex optimization N Hashemi, J Ruths, M Fazlyab Learning for Dynamics and Control, 842-853, 2021 | 26 | 2021 |
| Codesign for resilience and performance N Hashemi, J Ruths IEEE Transactions on Control of Network Systems 10 (3), 1387-1399, 2022 | 18* | 2022 |
| Generalized chi-squared detector for LTI systems with non-Gaussian noise N Hashemi, J Ruths IEEE 2019 American Control Conference (ACC), 404-410, 2019 | 16 | 2019 |
| Higher-order moment-based anomaly detection V Renganathan, N Hashemi, J Ruths, TH Summers IEEE Control Systems Letters 6, 211-216, 2021 | 15 | 2021 |
| Constraining attackers and enabling operators via actuation limits SH Kafash, N Hashemi, C Murguia, J Ruths 2018 IEEE Conference on Decision and Control (CDC), 4535-4540, 2018 | 14 | 2018 |
| Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks V Renganathan, N Hashemi, J Ruths, TH Summers IEEE 2020 American Control Conference (ACC), 1247-1252, 2020 | 13 | 2020 |
| Gain design via LMIs to minimize the impact of stealthy attacks N Hashemi, J Ruths 2020 American Control Conference (ACC), 1274-1279, 2020 | 13 | 2020 |
| Filtering Approaches for Dealing with Noise in Anomaly Detection N Hashemi, EV German, JP Ramirez, J Ruths 2019 IEEE 58th Conference on Decision and Control (CDC), 5356-5361, 2019 | 12 | 2019 |
| Data-driven reachability analysis of stochastic dynamical systems with conformal inference N Hashemi, X Qin, L Lindemann, JV Deshmukh 2023 62nd IEEE Conference on Decision and Control (CDC), 3102-3109, 2023 | 11 | 2023 |
| A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems N Hashemi, B Hoxha, T Yamaguchi, D Prokhorov, G Fainekos, ... Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical …, 2023 | 10 | 2023 |
| Risk-awareness in learning neural controllers for temporal logic objectives N Hashemi, X Qin, JV Deshmukh, G Fainekos, B Hoxha, D Prokhorov, ... 2023 American Control Conference (ACC), 4096-4103, 2023 | 8 | 2023 |
| Scaling Learning-based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout N Hashemi, B Hoxha, D Prokhorov, G Fainekos, JV Deshmukh ACM Transactions on Cyber-Physical Systems 8 (4), 1-28, 2024 | 4 | 2024 |
| Conformance Testing for Stochastic Cyber-Physical Systems. X Qin, N Hashemi, L Lindemann, JV Deshmukh FMCAD, 294-305, 2023 | 3 | 2023 |
| Performance Bounds for Neural Network Estimators: Applications in Fault Detection N Hashemi, M Fazlyab, J Ruths IEEE 2021 American Control Conference (ACC), 3260-3266, 2021 | 3 | 2021 |
| Statistical reachability analysis of stochastic cyber-physical systems under distribution shift N Hashemi, L Lindemann, JV Deshmukh IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2024 | 1 | 2024 |
| LB4TL: A smooth semantics for temporal logic to train neural feedback controllers N Hashemi, S Williams, B Hoxha, D Prokhorov, G Fainekos, J Deshmukh IFAC-PapersOnLine 58 (11), 183-188, 2024 | 1 | 2024 |
| Practical detectors to identify worst-case attacks D Umsonst, N Hashemi, H Sandberg, J Ruths 2022 IEEE Conference on Control Technology and Applications (CCTA), 197-204, 2022 | 1 | 2022 |
| Generalized outer bounds on the finite geometric sum of ellipsoids N Hashemi, J Ruths arXiv preprint arXiv:2006.08739, 2020 | 1 | 2020 |
| Sampling-Based and Gradient-Based Efficient Scenario Generation V Kudalkar, N Hashemi, S Mukhopadhyay, S Mallick, C Budnik, ... International Conference on Runtime Verification, 70-88, 2024 | | 2024 |
Justin RuthsAssistant Professor of Mechanical Engineering and Systems Engineering, UT DallasVerified email at utdallas.edu
