Cecilia Mascolo | |
---|---|
Alma mater | University of Bologna (PhD) |
Scientific career | |
Fields | Mobile systems Mobile Data Modelling Mobile Sensing Systems |
Institutions | University of Cambridge University College London |
Thesis | Specification, Analysis and Prototyping of Mobile Code Systems (2001) |
Doctoral advisor | Paolo Ciancarini[1][2] |
Website | www |
Cecilia Mascolo is a Professor of Mobile Systems at the Department of Computer Science and Technology at the University of Cambridge, and a Fellow of Jesus College, Cambridge.[1][3][4][5][6]
Mascolo received her Bachelors, Masters and PhD in Computer Science from the University of Bologna, Italy. Her PhD, completed in 2001, was supervised by Paolo Ciancarini .[1][2]
Mascolo serves as co-director of the centre for mobile, wearable systems and augmented intelligence.[5] Her research[7] spans mobile systems,[8] mobile and sensor data analytics, sensor networks,[9] machine learning for mobile and sensor systems and mobile health.[10] She is the recipient of an Engineering and Physical Sciences Research Council (EPSRC) advanced fellowship (2005-2010) and a European Research Council (ERC) advanced grant (2019-2024).[11] She has an h-index of over 60 according to Google Scholar.[5] Her recent research on audio based mobile health diagnostics have led to the large scale crowdsourcing data collection for COVID-19 sounds.[12]
Prior to joining Cambridge in 2008, she worked at University College London (UCL) and was an academic visitor at Washington University in St. Louis.[3]
As of 2020[update] Mascolo h-index can be found in DBLP.[4] She was listed by networking women as one of the 10 Women in Networking/Communications That You Should Know in 2016.[3][13]