We want to congratulate Sei Howe for passing her viva today!

The Royal Academy of Engineering recently released a short video showing how the RAEng supports engineering research in the UK:

This video features our work in the Computational Optimisation Group and includes shots of group members Georgia Kouyialis, Dr Dimitris Letsios, Simon Olofsson, and Dr Ruth Misener. We are delighted to have our research featured by the RAEng!

A new PhD student has joined the Computational Optimisation Group. We are happy to welcome Johannes Wiebe as our newest member. He previously obtained an M.Sc. degree in Chemical Engineering from RWTH Aachen, Germany. He is part of the EPSRC HiPEDS Center for Doctoral Training, and under the supervision of Dr Ruth Misener.

On 4 October, Simon Olofsson gave a presentation about his Bayesian multi-objective optimisation research at ESCAPE-27. Simon’s work is in collaboration with Dr Ruth Misener, Dr Marc Deisenroth, Dr Roberto Calandra, Professor Lies Geris, and her research team.

We want to congratulate Vahan Hovhannisyan for passing his viva today!

We want to congratulate Juan Campos Salazar for passing his viva today!

PhD student Simon Olofsson was awarded Best Quality Poster at the annual Department of Computing Poster Competition, which is sponsored by Google. Congratulations, Simon!

First year PhD student Johannes Wiebe was awarded the 2nd Presentation Prize at the 3rd PSE@ResearchDayUK. Johannes’ work, on Data-Driven Optimization of Processes with Degrading Equipment, will also be presented at the upcoming AIChE Annual Meeting. Johannes completed this work jointly with Dr Inês Cecílio and Dr Ruth Misener.

Both Miten and Simon have been accepted to present at the STEM for Britain 2019 poster exhibition at the House of Commons on 13 March. More info can be found here.

Professor Miguel Anjos from the University of Edinburgh is giving a seminar on: Tight-and-Cheap Conic Relaxations for AC Optimal Power Flow and Optimal Reactive Power Dispatch

Abstract: The classical alternating current optimal power flow problem is nonconvex and generally hard to solve. We propose a new conic relaxation obtained by combining semidefinite optimization with RLT. The proposed relaxation is stronger than the second-order cone relaxation, competitive with the recently proposed QC relaxation, and up to one order of magnitude faster than for the semidefinite chordal approach on benchmarks with up to 6515 nodes, with comparable global bounds. We extend the approach to optimal reactive power dispatch, which requires the introduction of binary and integer variables, and obtain with similar results and performance.