Guest Editors:Tai Fei, PhD, Dortmund University of Applied Sciences, Dortmund, GermanyShunqiao Sun, PhD, The University of Alabama, Tuscaloosa, United States of AmericaMarkus Gardill, PhD, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, GermanyChangzhi Li, PhD, Texas Tech University, United States of AmericaRick
Special Issue in IEEE Sensors Journal on Next Generation of Sensors and Technologies for Human-Machine Interaction
The field of human-machine interaction (HMI) has undergone a profound transformation, fuelled by rapid advancements in sensing technologies, smart sensors, and AI-driven digital processing. These developments have enabled more seamless, intuitive interactions between humans and machines across diverse settings. The
Challenge at ICASSP2025: “Gas source localization from real-world spatial in-situ concentration and wind measurements”

We are excited to invite you to participate in the Signal Processing Challenge “Gas source localization from real-world spatial in-situ concentration and wind measurements” at the upcoming IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025). This Signal
IEEE ASI Webinar: Cooperative Perception “All at Once” with OpenCDA (Prof. J.Ma)

Prof. Jiaqi MaUCLA, Samueli School of Engineering Email: jiaqima@ucla.edu Website: https://samueli.ucla.edu/people/jiaqi-ma/ Register NOW for the webinar: CLICK ME Abstract In this presentation, the latest advancements in Vehicle-to-Vehicle (V2V) and Vehicle-to-Everything (V2X) cooperative perception aimed at enhancing the safety and efficiency
IEEE ASI Webinar: Socio-Physically Interactive Mobile Collaborative Robots (Dr. P.Ajoudani)

Dr. Arash AjoudaniIIT, Genova, Italy Email: Arash.Ajoudani@iit.it Website: https://www.iit.it/people-details/-/people/arash-ajoudani Register NOW for the webinar: CLICK ME Abstract This talk will give an overview of the recent developments at Human-Robot Interfaces and Interaction (HRI²) laboratory of IIT, with focus on learning
IEEE ASI Webinar: Perspectives and Opportunities in Trustworthy AI (Dr. P.Lewis)

Dr. Peter LewisOntario Tech University, Canada Email: Peter.Lewis@ontariotechu.ca Website: https://ontariotechu.ca/experts/fbit/peter-lewis.php Register NOW for the webinar: CLICK ME Abstract The trustworthiness (or otherwise) of Artificial Intelligence has been much in discussion of late. Perspectives range from how we might make people
IEEE ASI Webinar: TinyDSF: Bootstrapping Skills for Milirobots from First Principles (Prof. A.Jantsch)

Prof. Axel JantschTU WienInstitute of Computer Technology Email: axel.jantsch@tuwien.ac.at Website: https://www.ict.tuwien.ac.at/en/jantsch.se/AxelJantsch/ Register NOW for the webinar: CLICK ME Abstract With a volume of less than 10 cm³ Milirobots are highly resource-constrained agents. It is thus challenging to strike the right
IEEE ASI Webinar: Multi-modal sensing for physical human-robot interaction (Prof. A.Cavallaro)

Prof. Andrea CavallaroTuring Fellow, The Alan Turing InstituteDirector, Centre for Intelligent SensingDirector of Research, School of Electronic Eng. and Computer Science Email: a.cavallaro@qmul.ac.uk Website: http://www.eecs.qmul.ac.uk/~andrea/ Register NOW for the webinar: CLICK ME Abstract The audio-visual analysis of the environment surrounding
IEEE ASI Webinar: Active Inference (Prof. K.Friston)

Prof. Karl J. Friston MB, BS, MA, MRCPsych, FMedSci, FRSB, FRSWellcome Principal FellowScientific Director: Wellcome Trust Centre for NeuroimagingInstitute of Neurology, UCL12 Queen SquareLondon. WC1N 3BG UK Email: k.friston@ucl.ac.uk Website: https://www.fil.ion.ucl.ac.uk/~karl/ Register NOW for the webinar: CLICK ME Abstract In
IEEE ASI Webinar: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms (Prof. N.Dutt)

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