@article {Hunt2022,
	title = {What Could Models of Superorganismal Cognition Offer to Embodied AI?},
	journal = {IOP Conference Series: Materials Science and Engineering},
	volume = {1261},
	year = {2022},
	pages = {012023},
	publisher = {IOP Publishing},
	abstract = {Superorganisms such as ant or honeybee colonies exhibit extraordinary collective intelligence, such as an ability to identify and choose the best available nest site in an uncertain world. This collective cognition is inextricably reliant on the embodiment of individual agents, specifically their movement through space. We have recently developed models of superorganismal cognition based on a compelling analogy with techniques in Bayesian statistics, which are likewise aimed at grappling with the uncertainty and incompleteness of real data sources. These models foreground some potential lessons for the design of embodied artificial intelligences, such as robot swarms. For example, the spatial distribution of independently judging agents can convey valuable information, relaxing expectations that regular inter-agent ({\textquoteleft}inter-neuronal{\textquoteright}) communication is necessary for cognition, which points to the potential of minimal field swarm robotics. Meanwhile, the importance of individual heterogeneity to effective and resilient collective cognition in biology suggests great potential in this area for engineering.},
	issn = {1757-899X},
	doi = {10.1088/1757-899X/1261/1/012023},
	url = {https://dx.doi.org/10.1088/1757-899X/1261/1/012023},
	author = {Edmund R Hunt}
}
@booklet {mohamed2018wi,
	title = {WI-FI SIGNAL STRENGTH MEASUREMENTS FROM SMARTPHONE FOR VARIOUS HAND GESTURES},
	howpublished = {IEEE DataPort},
	number = {http://dx.doi.org/10.21227/H2C362},
	year = {2018},
	author = {Mohamed, Haseeb and Parasuraman, Ramviyas}
}
@article {haseeb2018wisture,
	title = {Wisture: Touch-less hand gesture classification in unmodified smartphones using Wi-Fi signals},
	journal = {IEEE Sensors Journal},
	volume = {19},
	number = {1},
	year = {2018},
	pages = {257{\textendash}267},
	publisher = {IEEE},
	author = {Haseeb, Mohamed Abudulaziz Ali and Parasuraman, Ramviyas}
}
@article {haseeb2017wisture,
	title = {Wisture: RNN-based learning of wireless signals for gesture recognition in unmodified smartphones},
	journal = {arXiv preprint arXiv:1707.08569},
	year = {2017},
	author = {Haseeb, Mohamed Abudulaziz Ali and Parasuraman, Ramviyas}
}
@mastersthesis {parasuraman2014wireless,
	title = {Wireless Communication Enhancement Methods for Mobile Robots in Radiation Environments},
	year = {2014},
	school = {Universidad Polit{\'e}cnica de Madrid (UPM), Spain and CERN, Switzerland},
	type = {phd},
	author = {Parasuraman, Ramviyas}
}
