Eiman Kanjo

am the Provost’s Visiting Professor in Pervasive Sensing and tinyML at the Department of computing at Imperial College London.

I hav been honoured as one of the Top 50 Women in Engineering by the Women in Engineering Society.

I am also one of the academic leads of the Turing University Network, Alan Turing Institute is UK’s national institute for data science and artificial intelligence. One of the 24 recipients of the Turing Network Development Awards 2022.

I have over 130 publications and she won several grants from various funders, including DCMS, InnovateUK, EPSRC, DSTL, ERDF, MoD, and the Lottery Fund. I am dedicated to working closely with charities, local authorities, and industry. I work closely with tinyML Foundation and currently serve on the steering committee for tinyML EMEA and Co-Lead TinyML UK. I am also an editor at Data Centric Engineering Journal

I have joined Health Data Research UK leadership team as an Associate Director. HDRUK’s mission is to improve the quality of health-related data and to drive forward new technologies to equip our frontline clinical staff to deliver excellent care.

I have been appointed as a member of the Royal Society’s Newton International Fellowships Committee.

Previously I worked for more than three years as a Research Associate in Mobile Sensing at the Computer Laboratory, University of Cambridge, and also I was a member of the Cambridge eScience Centre(CeSC).

I carried out research work at the MRL (Mixed Reality Lab), Computer Science, University of Nottingham, in the area of Pervasive Computing, Smart Phones as Sensors, Location-based Applications.

I also worked as a researcher and developer in ICCAVE (the International Centre for Computer Games and Virtual Entertainment, University of Abertay Dundee, carrying out research work in the "Interactive Toys and Board Games project" which is sponsored by the Scottish Enterprise under the Proof of Concept Programme.

I am also a Professor of Pervasive Computing at Nottingham Trent University, leading the Smart Sensing Lab.