Dr Shelly Vishwakarma is a Lecturer in Digital Health & Biomedical Engineering Group. Her current research focuses on designing and developing hardware and software frameworks to advance state-of-the-art opportunistic sensing using radio frequency (RF) signals from WiFi transmissions for contextual sensing applications, including concurrent physical activity recognition and indoor localization. Dr Vishwakarma received her PhD from the Indraprastha Institute of Information Technology, Delhi, India, in 2020, where her research investigated advanced signal processing techniques for human activity detection, classification, and imaging in indoor environments. Before joining ECS, she worked as a Research Fellow on an EPSRC-funded project, OPERA Opportunistic Passive RADAR for Non-Cooperative Contextual Sensing, at University College London. The OPERA project investigates a novel unobtrusive RADAR sensing technology for contextual sensing to facilitate healthcare and Ambient Assisted Living. During the global pandemic, she developed an animation data-driven human radio frequency (RF) scattering simulator, SimHumalator, to generate realistic RADAR signatures associated with activities relevant to healthcare, including sitting and standing to fall over. The simulator has been used across the globe to alleviate the well-known 'cold-start problem in RADAR, where there is a lack of useable data for training machine learning networks (https://uwsl.co.uk/). Dr Vishwakarma has won the best student paper award at IEEE International RADAR Conference, Atlanta, USA, 2020, and nomination for the best paper award at IEEE International RADAR Conference, Toulon, France, 2019. More recently, she won the second and third best paper awards in IEEE Radar Challenge, New York, 2022, for her work on developing an ML-assisted radar signal processing framework and building a hardware prototype using commercially available off-the-shelf components. 

Dr Haiming Liu is an Associate Professor at the WAIS research Group of ECS. Haiming joined ECS in May 2022 after 12 years of academic career at various UK institutions. Haiming completed her PhD on User-Centred Interactive Content Based Image Retrieval (CBIR) in 2010 at the Open University, and she has continued in and extended this research area during her academic career, through collaborating with other academics and industry partners. Haiming specialises in understanding users’ preferences and behaviours during their information access (such as searching, seeking, exploring and recommendation) for all users, and designing and developing user-centred interactive information access technologies for different applications (such as E-Health, E-Learning, E-business, E-Government and Digital Humanities).