Selena Tabbara
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Projects

October 10, 2020

Adversarial Privacy for Activity Monitoring

With the advance of smartphones, wearables devices, and other Internet of Things devices, there is a variety of sensors that are generating time-series measurements of your daily activity. These sensors allow the emergence of new services that are beneficial to several areas including health monitoring, safety, and productivity. While cameras, microphones, and the location are preserved as privacy-sensitive, the privacy implication of activity recognition sensors is still underestimated. In fact, the detailed time-series user data shared with untrusted third parties could be used to infer private and sensitive information user information (e.
May 2, 2020

Clinical Decision Support System for COVID-19 patients management

EPIC IMPOC is a clinical decision support system used in the NHS to improve the management of infectious diseases by facilitating data collection, infection diagnostics and antimicrobial therapy advice at the point of care. In the midst of the SARS-CoV-2 outbreak, we implemented a new module in EPIC IMPOC (Enhanced, Personalized and Integrated Care for Infection Management at the Point of Care), specifically to provide aid to clinicians to diagnose COVID-19 patients and treat them by retrieving similar cases.
March 30, 2020

Tiny Functional Language

The aim is to make a usable untyped functional language system all written in F# which allows the implementation of pure functional features like Church numbers. The work modularises as: Lexer Parser Lambda closure run time system The lexer perform a lexical analysis, the process of converting the stream of characters to words (‘tokens’). The parser then use these tokens to find the relationship between them and determine the syntax.
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© Selena Tabbara 2020