PostDoc & PhD students
PostDoc & PhD students
Vikki, Ullrich, Kirsten
Dr Vikki Revell
Dr Vikki Revell’s research focuses on understanding how the circadian system, that drives 24 rhythms in physiology and behaviour, is altered in people living with dementia. Her research aims to develop circadian-targeted interventions, in particular modifying environmental lighting, to improve clinical symptoms and quality of life.
Dr Ullrich Bartsch
Ullrich’s current research is centred on the neurophysiology of sleep: how it changes across the lifespan and its role in psychiatric and neurodegenerative disorders. He investigates sleep at multiple levels; from single-unit recordings in rodents to high-density EEG and large cross-sectional or longitudinal datasets in humans.
Dr Kirsten Jensen
Kirsten works as part of the Synthetic Biology group, which aims to develop point-of-care diagnostics for the detection of infections in people living with dementia. Rapid diagnosis and treatment should help reduce hospital admissions and improve the care pathway. We are currently working on a point-of-care device for the early detection of urinary tract infections.
Amer/ Francesca/ Helen
Amer develops and maintains the web application that is being used by clinicians to monitor people living with dementia remotely. The web application displays important information regarding patient wellbeing, as well as generating time-sensitive alerts that may require intervention by clinicians.
Francesca’s primary goal is to detect episodes of agitation in people living with dementia by applying a deep learning model on in-home monitoring data. Agitation is a neuropsychiatric symptom that negatively impacts the Activities of Daily Living and independence of individuals. Detecting agitation episodes can assist in providing early and timely interventions.
Helen is interested in the translation of group-level data to address individual-level needs. Working with health and social care providers as well as people with dementia, she is testing the implementation of digitally-enabled care within the local community. In parallel, she is extracting trends among people with dementia in population data, using domains such as multimorbidity and frailty to predict clinical outcomes such as infections.
Martin/ Mike/ Alina
Martin works as part of the Synthetic Biology group, where they aim to develop novel point-of-care diagnostics for early detection of infections in people living with dementia. His role is to use molecular biology techniques to characterise the urinary microbiome and bacterial strains responsible for infections, to identify potential biomarkers for detection.
Michael uses detailed MRI brain scans to assess damage within patient’s noradrenaline centre. The brain chemical noradrenaline is particularly important for attention. Attention - focusing on relevant information - is often affected early in Alzheimer’s disease. Patients notice early and disabling problems with attention and concentration, which worsen memory problems.
The aim of Alina’s research is to monitor routines of behaviour from activities of daily living in people with dementia. Specifically, she is looking into extracting activities of daily living from environmental sensors and grouping such activities into routines of behaviour using artificial intelligence.
Nan/ Alexander/ Ian
Nan’s research focuses on investigating the use of remote monitoring technologies to improve the provision of healthcare for people living with dementia. Through machine learning techniques and data analytics, her work looks to predict agitation risk in order to inform delivery of meaningful and timely interventions, both pharmacological and non-pharmacological.
Alexander’s work is focused on building machine learning models that can make clinical predictions about people’s health. Specifically, he is working on making models adaptable to changing environments and researching into how they can learn from few examples.
Michael/ Ciro/ Martina
Dr Michael Crone
Michael works as part of the Synthetic Biology group, where they are focusing on the development of novel diagnostic workflows for infectious and neurodegenerative diseases. His main role within this group is to develop tools for high-throughput, surveillance, and point-of-care diagnosis of viral and bacterial infections.
Dr Ciro della Monica
Ciro’s research interests lie in exploring the relationship between sleep and cognitive function in healthy aging and in people living with dementia to determine if sleep features or changes are a predictor of cognitive decline, or if they correlate with disease progression. If so, these can be a target for interventions.
Martina Del Giovane
Martina’s research aims to develop and validate a computerised cognitive assessment showing sensitivity to dementia-related impairments and to different dementia subtypes. This tool could improve the initial diagnosis of dementia and help monitor patients remotely, tracking disease progression and response to treatment.
Karl, Niall, Kiran
Karl (Gus) Zimmerman
Karl is currently a post-doctoral researcher working on projects investigating brain health in retired professional athletes and military veterans. The projects aim to use advanced MRI and fluid biomarker analysis to provide quantitative measures of brain health for improved patient care and prognosis.
Dr Niall Bourke
Niall is a postdoctoral research associate utilising advance neuroimaging techniques and large population MRI datasets to better understand the brain behavioural relationships on an individual level. He has been involved in the development process and application of remote cognitive testing in traumatic brain injury patients.
Dr Kiran Kumar Guruswamy Ravindran
Kiran is working towards validating different technologies for monitoring sleep physiology in people living with dementia longitudinally at home. His work primarily focuses on measuring qualitative sleep at different granularities ranging from simple bed presence to sleep EEG using commercially available devices such as Dreem 2 Headband.
Tong, Ghena, Neil
Tong Wu has experience in telecommunication, machine learning and neuroscience. She focuses on automatic speech recognition (ASR) for language-based tests of cognition and memory for healthy populations and Dementia patients. ASR models hold promises to discover spoken biomarkers for early Dementia detection and automate cognitive speech tests in contactless manner.
Ghena’s research focuses on the development of Hearables, an in-ear device, for neural and physiological monitoring in patients with chronic diseases. This aims to improve patients' quality of life by providing the means for unobtrusive and continuous sensing at an affordable cost.
Dr Neil Graham
Neil’s interest is in how head injury relates to neurodegenerative disease, with the aim of preventing and developing treatments for dementia after TBI. In civilian, military and sporting settings, he investigates tools to diagnose dementias such as CTE and identify patients at highest risk of long-term problems, before symptoms appear.
Hazel/ Adrien/ Roonak
Blast traumatic brain injury (bTBI) affects military and civilians and due to recent wars, their prevalence has increased. Milder cases of bTBI can go undetected and leave the brain vulnerable. Hazel’s work consists of investigating the outcome of blast shockwaves on the brain using an animal model. She investigates the physiological and neurological effects over time and will compare it to a computational model and human findings to better understand mild bTBI.
Dr Adrien Rapeaux
Adrien is an electronic engineer working on UWB radar as a non-contact device for people living with Dementia to help them and their carers monitor their sleep and activity patterns. His work focuses on validating radar measurements against gold-standard instruments in laboratories mimicking home environments, called Living Labs.
Elaheh/ Hamed/ Nivedita
Elaheh’s PhD focus is on multimodal data analysis for sleep monitoring across the 24-hour day to identify any abnormalities. The overall aim of her research project is to develop multimodal monitoring using wearable and ambient sensors that can identify changes in sleep patterns accurately in a home environment, and which may indicate the early onset of dementia.
Dr Hamed Haddadi
Hamed is a Reader in Human-Centred Systems at the Dyson School of Design Engineering at The Faculty of Engineering, Imperial College London. He leads the Systems and Algorithms Laboratory and is an Academic Fellow of the Data Science Institute. He is interested in User-Centred Systems, IoT, Applied Machine Learning, and Data Security & Privacy. Within the DRI project, he works on efficient and privacy-preserving AI models to work in the individuals’ home environment.
Nivedita’s research focuses on fast, scalable and interpretable anomaly detection in sensor data collected from the homes of dementia patients. The objective is to utilise movement, environmental, physiological, wellbeing and cognitive assessment data to identify digital biomarkers of conditions such as UTI, with the aim of effective remote monitoring.
Alan/ Maria/ Samaneh
Alan’s work is focussed on developing and deploying ultra-compact radar systems to study, monitor, and assist people living with dementia. By making our networked radars extremely low-cost, we provide complete coverage in complex domestic environments and generate high quality data that allows us to understand and support the lives of people living with dementia.
Maria Raposo de Lima
Social robots and conversational agents hold significant promise to support people living with dementia at home. Maria’s research aims to design a robotic conversational system which can engage and support end-users in daily living activities for sustained benefit, as well as learning their needs and preferences. She is investigating data mining of human-robot interactions, user engagement, and technology adherence.
Dr Samaneh Kouchaki
Samaneh’s research focuses on developing clinically applicable machine learning methods capable of processing sensory data from people living with dementia in the home setting. This is done through representation learning, data fusion, adaptability to data changes and noise, and interpretable predictive learning.
Maitreyee/ Emma/ Tom
Dr Maitreyee Wairagkar
Maitreyee is postdoctoral research associate in affective robotics. Her research focuses on developing social robots and conversational AI to support people with dementia by improving their engagement, providing personalised interventions, and monitoring their health and wellbeing interactively by analysing human-robot interactions using machine learning and signal processing.
Dr Emma-Jane Mallas
Emma is a post-doctoral researcher using multi-modal brain imaging techniques with detailed cognitive assessment to understand the basis of memory impairment in health and disease. Understanding the mechanisms underpinning specific types of memory failure may help to inform future treatment development.