Authenticating Facebook Users Based on Widget Interaction Behavior. - Simon Khan; Cooper Fraser; Daqing Hou; Mahesh K. Banavar; Stephanie Schuckers (CCNC, 2021)

Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints. - Chen Luo; Qinwei Huang; Fanxin Kong; Simon Khan; Qinru Qiu (ICAR, 2021)

Mouse Dynamics Behavioral Biometrics: A Survey. - Simon Khan; Daqing Hou (CoRR, 2022)

User Authentication by Fusion of Mouse Dynamics and Widget Interactions: Two Experiments with PayPal and Facebook. - Simon Khan; Daqing Hou (CCNC, 2023)

Multi-Agent Cooperative Games Using Belief Map Assisted Training. - Chen Luo; Qinwei Huang; Alex B. Wu; Simon Khan; Hai Li 001; Qinru Qiu (ECAI, 2023)

Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition. - Huong N. Dang; Kuo-Chu Chang; Genshe Chen; Hua-mei Chen; Simon Khan; Milvio Franco; Erik Blasch (FUSION, 2023)

Safety Margins for Reinforcement Learning. - Alexander Grushin; Walt Woods; Alvaro Velasquez; Simon Khan (CoRR, 2023)

CODEX: A Cluster-Based Method for Explainable Reinforcement Learning. - Timothy K. Mathes; Jessica L. Inman; Andrés Colón; Simon Khan (CoRR, 2023)

Comparison of Explainability Approaches for Reinforcement Learning for Autonomous Flight Maneuvers. - Swati Kar; Mahesh K. Banavar; Soumyabrata Dey; Allan Salihovic; Simon Khan; Jason R. Bryant (IEEECONF, 2024)

Fusion of Decision Scores Utilizing Machine Learning Algorithms to Authenticate Users Based on Mouse Dynamics Modality. - Simon Khan; Shageenth Sandrakumar (ICECET, 2024)

Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi. - Rashedul Islam; Md. Shahanur Alam; Chris Yakopcic; Nayim Rahman; Simon Khan; Tarek M. Taha (IJCNN, 2024)

REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability. - Shuang Ao; Simon Khan; Haris Aziz 001; Flora D. Salim (CoRR, 2024)

Combining AI Control Systems and Human Decision Support via Robustness and Criticality. - Walt Woods; Alexander Grushin; Simon Khan; Alvaro Velasquez (CoRR, 2024)

Criticality and Safety Margins for Reinforcement Learning. - Alexander Grushin; Walt Woods; Alvaro Velasquez; Simon Khan (CoRR, 2024)

Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. - Rui Zuo; Zifan Wang; Simon Khan; Garrett E. Katz; Qinru Qiu (CoRR, 2024)

Mouse Dynamics Behavioral Biometrics: A Survey. - Simon Khan; Charles Devlen; Michael Manno; Daqing Hou (ACM Comput. Surv., 2024)

Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. - Zilong Deng; Simon Khan; Shaofeng Zou (AISTATS, 2025)

Revisiting Large-Scale Non-convex Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Simon Khan; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (ICLR, 2025)

EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM. - Shuang Ao; Flora D. Salim; Simon Khan (CoRR, 2025)

Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. - Ruipeng Liu; Qinru Qiu; Simon Khan; Garrett E. Katz (CoRR, 2025)