Summary
Alma Rahat is a Reader in Data Science & Decision Intelligence and a Turing Fellow with eight years of academic experience focused on evolutionary and Bayesian optimisation for constrained and expensive problems. He combines deep methodological work—especially on acquisition functions for single and multi-objective search—with a strong track record of industrial impact, including a patent with Hydro International and leadership of Swansea’s COVID-19 model used to brief senior government officials. A prolific contributor to the optimisation community, he has chaired GECCO workshops since 2016 and earned multiple best paper awards. He bridges theory and practice across engineering design, educational technology, and policy modelling, securing major research funding and institutional partnerships. Notably, he led Swansea’s accession to the Turing University Network and now serves as its Turing Academic Liaison, reflecting an uncommon blend of research excellence and strategic academic leadership.
8 years of coding experience
13 years of employment as a software developer
Postgraduate Certificate Teaching in Higher Education, Postgraduate Certificate Teaching in Higher Education at Swansea University / Prifysgol Abertawe
Higher Secondary Certificate Science, Higher Secondary Certificate Science at Dhaka College, Dhaka, Bangladesh
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Exeter
BEng (Hons.) Electronic Engineering, BEng (Hons.) Electronic Engineering at University of Southampton
Secondary School Certificate Science, Secondary School Certificate Science at Government Laboratory High School, Dhaka Bangladesh
Urdu, Hindi, Bengali, English