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A key feature of Horizon is our Transitional Assistant Professor scheme – a mechanism recruiting the most promising research fellows onto a pathway that guarantees a transition into an academic lecturing position over several years.  Through a number of agile projects, Horizon ‘TAPS’ will further develop their impact skills and rapidly establish their careers as independent academics.

Take a look at Horizons current Transitional Assistant Professors and discover about their research interests under the ‘About’ menu

About

Georgiana’s research and impact activities are dedicated to resolving challenges that the world is facing today through data science.  Most recently, as part of a Knowledge Transfer Partnership between N/Lab and OLIO Exchange Ltd.,  she developed the first UK-wide machine-learning model of food-insecurity.  Georgiana is passionate about women’s careers in STEM and cultivating scientific curiosity and enjoyment from an early age.

 

 

 

 

Horia is a multidisciplinary trained researcher who started with integrating physiological sensors and non-invasive brain monitoring devices, such as functional Near Infrared Spectroscopy (fNIRS), in the field of Human Computer Interaction (HCI) and Human Factors (HF).  Horia’s primary focus is to further advance the understanding of brain and physiological data in naturalistic study settings by developing new ways of processing and analysing this data, to produce new scientific knowledge and establish guidelines of applying brain and physiological data in the field of HRI evaluation.

 

 

 

 

Neelima’s research addresses designing responses to the challenges of personal data leverage in future media experiences.  She has worked with the BBC on a number of projects which involve design, evaluation and dissemination focussed on the use of alternative privacy preserving techniques. 

 

 

 

 

Helena is an inter-disciplinary researcher working at the intersection of society and technology.  Her  research has focused on a number of topic areas including, social media, algorithmic bias, AI, and social robots and she has taught subjects including software requirements, ethics, responsible innovation, and computers in society.

Yordan studies problems in statistical machine learning focussing on interpretable ML and exploratory applications.   His focus is on Bayesian nonparametrics and hierarchical generative models and most of his applied work is in biomedical engineering – algorithms for digital health, precision medicine and proteomics.

Blog

Congratulations Horia!

We are DELIGHTED to announce that Dr Horia Major, @HoriaMaior, has become a trustee of the Foundation for Science and Technology! pic.twitter.com/8GYCuXdXxb — The Foundation for Science and Technology (@FoundSciTech) November 26, 2022  

TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications

Digital sensors are increasingly being used to monitor the change over time of physiological processes in biological health and disease, often using wearable devices. This generates very large amounts of digital sensor data, for which a consensus on a common storage, exchange and archival data format standard, has yet to be reached. Horizon TAP Yordan …

Ethical Risk Assessment for Social Robots

Helena Webb explained: “Smart toys are becoming increasingly popular and commercially available. Whilst they can be fun to use and also benefit people’s well-being, they present certain safety and ethical risks too. The Ethical Risk Assessment is an important tool to identify these risks and prompt consideration of ways to address them. Our Ethical Risk …

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