Human activity recognition (HAR) is a compelling topic in the fields of ubiquitous computing, with numerous applications including human behaviour understanding, smart healthcare, human-computer-interaction (HCI), and more. Among various sensing technologies, Radio Frequency (RF) signals such as WiFi can be applied in a less intrusive manner, offering significant potential in smart home environments. However, due to multipath propagation, WiFi signals often contain a high level of noise from physical environments that need to suppressed before developing HAR models.

I am seeking a PhD candidate in machine learning (ML) theory as well as theoretical-oriented topics. The project aims to theoretically understand why ML models perform well and/or design efficient training algorithms. The topics include but not limited to

1. Generalization guarantees of over-parameterized ML models

2. Robustness of neural networks for trustworthy ML systems

For further details please contact Dr. Fanghui Liu (fanghui.liu@warwick.ac.uk), Assistant Professor, University of Warwick. More information can be found here (www.lfhsgre.org).

We are seeking PhD candidates in the topic of Multiagent Systems and related areas, with particular emphasis on one or more of: computational social choice, algorithmic game theory, multiagent learning, and social and economic networks. The multiagent systems researchers at University of Warwick include Markus BrillLink opens in a new window, Ramanujan SridharanLink opens in a new window, Long Tran-ThanhLink opens in a new window, Debmalya Mandal and Paolo TurriniLink opens in a new window