On guaranteeing passivity and performance with a human controller. - Meng Xia; Arash Rahnama; Shige Wang; Panos J. Antsaklis (MED, 2015)

Passivation and performance optimization using an extremum seeking co-simulation framework with application to Adaptive Cruise Control systems. - Arash Rahnama; Meng Xia; Shige Wang; Panos J. Antsaklis (ACC, 2016)

Performance optimization based on passivation of systems with applications to systems with input/output delay. - Meng Xia; Arash Rahnama; S. Wang; Panos J. Antsaklis (ACC, 2016)

A QSR-dissipativity and passivity based analysis of event-triggered networked control systems. - Arash Rahnama; Meng Xia; Panos J. Antsaklis (CDC, 2016)

Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. - Arash Rahnama; Abdullah Alchihabi; Vijay Gupta 001; Panos J. Antsaklis; Fatos T. Yarman-Vural (BIBE, 2017)

A passivity-based self-triggered strategy for cyber physical systems under denial-of-service attack. - Yang Yan; Meng Xia; Arash Rahnama; Panos J. Antsaklis (CDC, 2017)

A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts. - Arash Rahnama; Meng Xia; Panos J. Antsaklis (CoRR, 2017)

Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack. - Arash Rahnama; Panos J. Antsaklis (CoRR, 2017)

Network-based protein structural classification. - Arash Rahnama; Khalique Newaz; Panos J. Antsaklis; Tijana Milenkovic (CoRR, 2018)

Control and Machine Intelligence for System Autonomy. - Panos J. Antsaklis; Arash Rahnama (J. Intell. Robotic Syst., 2018)

Passivity-Based Design for Event-Triggered Networked Control Systems. - Arash Rahnama; Meng Xia; Panos J. Antsaklis (IEEE Trans. Autom. Control., 2018)

Control Design Using Passivation for Stability and Performance. - Meng Xia; Arash Rahnama; Shige Wang; Panos J. Antsaklis (IEEE Trans. Autom. Control., 2018)

Connecting Lyapunov Control Theory to Adversarial Attacks. - Arash Rahnama; André T. Nguyen; Edward Raff (CoRR, 2019)

A QSR-Dissipativity Based Design for Event-Triggered Networked Systems. - Arash Rahnama; Meng Xia; Panos J. Antsaklis (IEEE Trans. Autom. Control., 2019)

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. - Arash Rahnama; André T. Nguyen; Edward Raff (CVPR, 2020)

Learning-Based Event-Triggered Control for Synchronization of Passive Multiagent Systems Under Attack. - Arash Rahnama; Panos J. Antsaklis (IEEE Trans. Autom. Control., 2020)

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. - Arash Rahnama; Andrew Tseng (CVPR Workshops, 2021)

Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training. - Can Karakus; Rahul Huilgol; Fei Wu; Anirudh Subramanian; Cade Daniel; Derya Çavdar; Teng Xu 010; Haohan Chen; Arash Rahnama; Luis Quintela (CoRR, 2021)

Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity. - Bernardo Aquino; Arash Rahnama; Peter J. Seiler; Lizhen Lin; Vijay Gupta 001 (IEEE Control. Syst. Lett., 2022)

Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback. - Yen-Ting Lin; Di Jin; Tengyu Xu; Tianhao Wu 002; Sainbayar Sukhbaatar; Chen Zhu; Yun He; Yun-Nung Chen; Jason Weston; Yuandong Tian; Arash Rahnama; Sinong Wang; et al. (CoRR, 2025)