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  Title Fairness and Bias in Robot Learning Authors L. Londoño et al. Abstract Machine learning (ML) has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real…

  Title The Evolution of Applications, Hardware Design, and Channel Modeling for Terahertz (THz) Band Communications and Sensing: Ready for 6G? Authors J. M. Jornet et al. Abstract For decades, the terahertz (THz) frequency band had been primarily explored in the context…

PUBLISHED IN MAY 2024  Title In-Band Full-Duplex: The Physical Layer Authors B. Smida, R. Wichman, K. E. Kolodziej, H. A. Suraweera, T. Riihonen and A. Sabharwal Abstract In this article, we review the key concepts and the progress in the design of…

PUBLISHED IN OCTOBER 2023 Title An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era Authors A. Triantafyllopoulos et al. Abstract Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in…

PUBLISHED IN September 2023   Title Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects Authors Y. Li et al. Abstract With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high…