Fellowship

Leverhulme Early Career Fellowship for Nguyen Dang

Congratulations to Dr Nguyen Dang, who has been awarded a Leverhulme Trust Early Career Fellowship. The 3 year Fellowships are intended to assist those at an early stage of their academic careers to undertake a significant piece of publishable work. Nguyen will be researching Constraint-based automated generation of synthetic benchmark instances.

Abstract summary: “Combinatorial problems such as routing or timetabling are ubiquitous in society, industry, and academia. In the quest to develop algorithms to solve these problems effectively, we need benchmark instances. An instance is an example of the problems at hand for testing how well an algorithm performs. Having rich benchmarks of instances is essential for algorithm developers to gain understanding about the strengths and weaknesses of their approaches, and ensure successful applications in practice. This fellowship will provide a fully automated system for generating valid and useful synthetic benchmark instances based on a constraint modelling pipeline that supports several algorithmic techniques.”

Professor Simon Dobson elected Fellow of the Royal Society of Edinburgh (FRSE)

Congratulations to Head of School Simon Dobson who has been elected to the Royal Society of Edinburgh for his exceptional achievements in science. This prestigious award recognises expertise which supports the “advancement of learning and knowledge in Scottish public life”. The RSE established in 1783, plays a leading role in “the development of a modern enlightenment that will enable Scotland to contribute significantly to addressing the global challenges facing humanity in the 21st Century”. The RSE announced its newly-elected 2020 Fellows on Tuesday, describing Fellows as “leading thinkers and experts from Scotland and around the world whose work has a significant impact on our nation”.

Simon works on adaptive systems, especially those driven by sensors. He has concentrated recently on how to make robust decisions from sensor data as the sensor system degrades, which is a critical foundation for making best use of the torrent of data coming from the “Internet of Things”. He is also interested in complex processes such as how epidemics spread in a population and how urban transport networks function, where mathematical models need to be complemented by repeatable and validated computational experiments that pose a major software challenge.