We are delighted that Alaa Alahmadi, who conceived and developed the fully explainable long QT syndrome detection algorithm has been named as one of MIT Technology Review’s Innovators under 35.

Alaa’s work has its roots in the new field of Human-Like Computing (HLC) — using knowledge of human intelligence to advance machine intelligence, and has received numerous accolades.

The visualization technique was published in ACM CHI, the world’s top venue for Human-Computer Interaction research, where it received a review score of 4.5/5 placing it in the top ~1% (30/2958) of papers received that year, and was highly commended in the IET Healthcare Technology Awards 2020. The automated detection algorithm was published by invitation in Human-Like Machine Intelligence, a prestigious publication that leads with a chapter from Stuart Russell, the 2021 BBC Reith Lecturer on ‘Living with Artificial Intelligence’. Alaa was also the only Computer Science finalist in the STEM for Britain awards 2021.

Alaa has also won multiple university awards, including the University of Manchester Outstanding Doctoral Paper in Computer Science (2019) and Outstanding Doctoral Thesis in Computer Science (Runner Up, 2022).