7 papers
Beyond FAIR: A Fitness Function Framework for Sustainable Research Software
Irdin Pekaric, Philipp Zech
Research software sustainability is often assessed through the FAIR principles: findability, accessibility, interoperability and reusability. While important, FAIR does not cover a…
Consensus-Aware Co-design of Wireless Multi-Agent Control and Communication Systems
Atefeh Termehchi, Sajedeh Soleimani, Shiva Kazemi Taskooh +2
Autonomous multi-agent control systems (MACSs) enable distributed coordination in emerging applications such as smart power grids and autonomous vehicle or drone networks. In many…
Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges
Bingnan Xiao, Shuyan Hu, Xiaojing Chen +5
Next-generation wireless systems are expected to be ``AI-native," with neural networks (NNs) embedded throughout the physical (PHY) layer protocol stack to improve spectral efficie…
Generalization Analysis and Method for Domain Generalization for a Family of Recurrent Neural Networks
Atefeh Termehchi, Ekram Hossain, Isaac Woungang
Deep learning (DL) has driven broad advances across scientific and engineering domains. Despite its success, DL models often exhibit limited interpretability and generalization, wh…
Beamforming Control in RIS-Aided Wireless Communications: A Predictive Physics-Based Approach
Luis C. Mathias, Atefeh Termehchi, Taufik Abrão +1
Integrating reconfigurable intelligent surfaces (RIS) into wireless communication systems is a promising approach for enhancing coverage and data rates by intelligently redirecting…
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
Atefeh Termehchi, Ekram Hossain, Isaac Woungang
Deep Reinforcement Learning (DRL) is a key machine learning technology driving progress across various scientific and engineering fields, including wireless communication. However,…
Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
Atefeh Termehchi, Ekram Hossain, Angelo Vera-Rivera +2
Recent advances in computational infrastructure and large-scale data processing have accelerated the adoption of data-driven inference methods, particularly deep learning (DL), to…