Cluster 2: Technical Platforms

Work Package 7 | Devices and Platform

Amos Folarin
King's College London & South London and Maudsley NHS Foundation Trust

Amos is the Software Development Group Lead at the NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. He oversees the development of a number of innovative clinical and research applications platforms such as RADAR-base http://github.com/RADAR-base, CogStack https://github.com/CogStack/.
Amos qualified as a PhD in Bioinformatics at University College London and has since worked as a bioinformatician and software developer over the last 15 years (at Inpharmatica, Birkbeck, UCL, King’s College London and South London and Maudsley NHS Foundation Trust).
His interests are focussed on the possibility of using prospective and retrospective time series data sources such as in mHealth and clinical informatics/EHRs, and how these can be woven together to provide a detailed digital view of disease state. Current work includes developing the RADAR-CNS data collection platform (RADAR-base) for remote patient monitoring using wearable devices, mobile phone sensors and mobile apps; utilising unstructured data in clinical records e.g. for monitoring seasonal infectious diseases and image analysis pipelines for high-content drug screening.

Zulqarnain Rashid
King’s College London

Zulqarnain is a Research Software Engineer in the Institute of Psychiatry, Psychology & Neuroscience at King’s College London. He is working on developing and maintaining the RADAR-CNS data collection platform. He is involved in coordinating RADAR epilepsy studies at King's College London.
He was a post-doctoral researcher at the University of Dundee, Scotland working on Assistive Technologies in collaboration with the University of Cambridge, England. He holds a Ph.D. in Computer Science from Pompeu Fabra University, Barcelona. In his doctoral dissertation, he contributed towards the independent living of motor disabled people under the paradigm of Internet of Things. He worked as a Researcher in Biomedical Engineering department Kyung Hee University Seoul, South Korea within the area of Healthcare and Ubiquitous Computing.

Yatharth Ranjan
King’s College London

Yatharth is working as a Software developer for mHealth at the NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King’s College London. Currently focussed on the RADAR-CNS project which aims to build a platform to collect data from wearable devices for remote monitoring of participants. He is working on development of the backend of the RADAR-base platform and leveraging cloud technologies to provide a scalable hosting solution for collecting data from wearable devices and sensors for the RADAR-CNS project. Future roles involve analysing the data collected via this platform and building prediction tools and using the RADAR-Base platform for other research
projects and studies.Yatharth has recently completed MSc. in Intelligent Systems from King’s College London. Proficient in java, android and major backend technologies and likes to work on large datasets and distributed computing.

Work Package 8 | Data Analysis & Biosignatures

Nicholas Cummins
University of Augsburg

Nicholas Cummins is a Habilitation Candidate at the ZB.B Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, where he is involved in Horizon 2020 projects DE-ENIGMA, RADAR-CNS and TAPAS.

His current research includes areas of behavioural signal processing with a focus on the automatic multisensory analysis and understanding of different health states. Dr Cummins received his PhD in Electrical Engineering from UNSW Australia in February 2016. His PhD investigated whether the voice can be used as an objective marker in the diagnosis and monitoring of clinical depression. He has published regularly in the field of depression detection since 2011; these papers have attracted significant attention and citations. He did his undergraduate degree at UNSW as a mature student, graduating with first class honors in 2011.

Dzmitry Kaliukhovich
Janssen Pharmaceutical Companies of Johnson & Johnson

Dzmitry is a post-doctoral researcher in digital biomarkers in the department of Computational Biology at the Janssen Pharmaceutical Companies of Johnson & Johnson in Beerse, Belgium. He analyses the data collected by wearable devices to identify biomarkers that can predict progression of major depressive disorder (MDD) in general and depression relapses in particular. He also provides support in retrieval and initial processing of the MDD data to his collaborators.
Dzmitry obtained his engineer’s and master’s degree in Computer Science from Brest State Technical University in Belarus. He also qualified as a PhD in Cognitive Neuroscience at the University of Leuven (KU Leuven) in Belgium where he later worked as a post-doctoral researcher for 4 years. He has a lot of experience in the analysis of diverse biological data including extracellular spiking activity, local field potentials, EEG and eye movements. Before joining the RADAR-CNS project, the major focus of his work was lying on neuronal machinery underlying visual processing in both non-human primates and rodents. His current research interests include a synergy between the state-of-the-art machine learning techniques and wearable electronics to facilitate monitoring, diagnosis and treatment of patient populations.