Reinforcement Learning for Multi-Agent Systems with an Application to Distributed Predictive Cruise Control. - Mohammed Mynuddin; Weinan Gao; Zhong-Ping Jiang (ACC, 2020)

Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model. - Weinan Gao; Mohammed Mynuddin; Donald C. Wunsch; Zhong-Ping Jiang (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Comparative Analysis of Deep Learning Models for Power Quality Disturbance Classification. - Sultan Uddin Khan; Mohammed Mynuddin; Dewan Mohammed Abdul Ahad; Mohammad Iqbal Hossain; Md Jahidul Islam; Md Fahad Kabir (AIIoT, 2023)

Adversarial Attacks on Deep Learning-Based UAV Navigation Systems. - Mohammed Mynuddin; Sultan Uddin Khan; Mahmoud Nabil Mahmoud; Ahmad Alsharif (CNS, 2023)

Trojan Triggers for Poisoning Unmanned Aerial Vehicles Navigation: A Deep Learning Approach. - Mohammed Mynuddin; Sultan Uddin Khan; Mahmoud Nabil Mahmoud (CSR, 2023)

Mitigating Targeted Universal Adversarial Attacks on Time Series Power Quality Disturbances Models. - Sultan Uddin Khan; Mohammed Mynuddin; Isaac Adom; Mahmoud Nabil Mahmoud (TPS-ISA, 2023)

Decentralized Federated Learning Using the Metropolis-Hastings for Highly Dynamic UAVs. - Mohammed Mynuddin; Zayed Uddin Chowdhury; Reza Ahmari; Mahmoud Nabil 001; Ahmad Alsharif; Abdollah Homaifar (VTC Fall, 2024)

Trojan Attack and Defense for Deep Learning-Based Navigation Systems of Unmanned Aerial Vehicles. - Mohammed Mynuddin; Sultan Uddin Khan; Reza Ahmari; Luis Landivar; Mahmoud Nabil Mahmoud; Abdollah Homaifar (IEEE Access, 2024)

AdaptEdge: Targeted Universal Adversarial Attacks on Time Series Data in Smart Grids. - Sultan Uddin Khan; Mohammed Mynuddin; Mahmoud Nabil 001 (IEEE Trans. Smart Grid, 2024)