Ammar N. Abbas

According to our database, Ammar N. Abbas authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies.

Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz, Houda Briwa, Andres Alonso-Perez, Gabriele Baldissone, Micaela Demichela, Georgios C. Chasparis, John D. Kelleher, Maria Chiara Leva

Int. J. Hum. Comput. Interact., June, 2025

Exploring the Influence of Human System Interfaces: Introducing Support Tools and an Experimental Study.

Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Houda Briwa, Andres Alonso-Perez, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Maria Chiara Leva

Int. J. Hum. Comput. Interact., May, 2025

2024

Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance.

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

Data Knowl. Eng., January, 2024

A Hierarchical Framework for Interpretable, Safe, and Specialised Deep Reinforcement Learning.

Ammar N. Abbas

PhD thesis, 2024

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models.

Ammar N. Abbas, Csaba Beleznai

CoRR, 2024

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies.

Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz, Houda Briwa, Andres Alonzo Perez, Gabriele Baldissone, Micaela Demichela, Georgios C. Chasparis, John D. Kelleher, Maria Chiara Leva

CoRR, 2024

TalkWithMachines: Enhancing Human-Robot Interaction Through Large/Vision Language Models.

Ammar N. Abbas, Csaba Beleznai

Proceedings of the Eighth IEEE International Conference on Robotic Computing, 2024

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach.

Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian

Proceedings of the 10th International Conference on Control, 2024

2023

Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning.

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

CoRR, 2023

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces.

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

CoRR, 2023

2022

Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines.

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

CoRR, 2022

Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines.

Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher

Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2017

Assistive mobility cane exploiting skin-stroke tactile haptic feedback mechanism for visually impaired persons.

Hiba Ovais Latifee, Ammar N. Abbas, Taha Ahmed Siddiqui, Muhammad Nabeel, Muhammad Khurram

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Skin stroking haptic feedback glove for assisting blinds in navigation.

Kashan Aqeel, Urooj Naveed, Faarah Fatima, Farah Haq, Muhammad Arshad, Ammar N. Abbas, Muhammad Nabeel, Muhammad Khurram

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017