web statistics

Prof. Per Kristian Lehre

PerKristianLehre

Professor in School of Computer Science at the University of Birmingham and Turing AI Acceleration Fellow.

Contact and Office Hours

Per Kristian Lehre
School of Computer Science (Office 207)
University of Birmingham
Edgbaston
B15 2TT, United Kingdom

Email: P.K.Lehre@bham.ac.uk (please do not use my previous School of CS email address)

Phone: +44 (0)121 414 8560

Office hours Fridays 11-12 (office 207). For all Zoom meetings with me, (please use this link).

Teaching

(I currently have no teaching and admin duties as my time over the next years is bought out by my Turing AI fellowship.)
  • Neural Computation (Autumn 2020, co-taught with Jinming Duan, Yunwen Lei and Shan He)
  • Nature Inspired Search and Optimisation (Spring 2020, co-taught with Shan He)

Research Interests

My research interests are in theory of evolutionary computation, population genetics, randomised algorithms and related topics.

Open PhD Scholarship

We are currently looking for one PhD student to be associated with my Turing AI Acceleration fellowship project on co-evolution. If you are interested in theory of evolutionary computation, particularly runtime analysis, please get in touch with me or apply directly here.

ROAR-NET Short-term Scientific Missions

Funding is available for research visits within the ROAR-NET COST action. Members of Working Group 4 offer to host visitors working on a range of topics related to Optimisation under Uncertainty. See here for more information and list of hosts.

Current Activities and News

  • Joining COST Action ROAR-NET as work group leader on optimisation under uncertainty.
  • Giving tutorial on runtime analysis of population-based evolutionary algorithms at GECCO 2023.
  • Alistair Benford joined the group as a Research Fellow in February 2023. He is funded by the Turing AI Acceleration Fellowship. He was previously a PhD student in the Probability and Combinatorics group in Birmingham
  • Our group presented four papers and one tutorial at the GECCO 2022 conference in Boston.
  • Mario Hevia Fajardo joined the group as a Research Fellow in February 2022. He is funded by the Turing AI Acceleration Fellowship.. He was previously a PhD student at the University of Sheffield.
  • Co-organising with Benjamin Doerr the 2021 ThRaSh Seminar series.
  • GECCO Theory Track 2018 special issue of Algorithmica guest-edited with Anne Auger has appeared online.
  • Giving IEEE CIS Webinar on Self-adaptation
  • Giving an tutorial on Runtime Analysis of Evolutionary Algorithms at GECCO 2021 with Pietro S. Oliveto.
  • Chairing the GECCO 2019 Theory Track with Johannes Lengler.
  • Giving keynote on "Algorithmic Perspectives on Evolution" at the OPTA 2018 conference in Omsk, Russia.
  • Paper on level-based analysis accepted for publication in IEEE Transactions on Evolutionary Computation
  • I joined the School of Computer Science at the University of Birmingham as a Senior Lecturer from January 2017.

PostDocs and PhD Students

  • Alistair Benford (PostDoc, started Feb 2023)
  • Mario Hevia Fajardo (PostDoc, started Feb 2022)
  • Shishen Lin (PhD student, first supervisor, since Sept 2021)
  • Sarah Carmesin (PhD student, second supervisor, since Oct 2021)
  • Zimin Liang (PhD student, second supervisor, since Sep 2021)
  • Tuo Zhang (PhD student, second supervisor, Since Jan 2023)
  • Efstratios Palias (PhD student, second supervisor, since Sept 2020)
  • Xiaoyu Qin (PhD student, first supervisor, since Jan 2020)
  • Phan Trung Hai Nguyen (PhD student, first supervisor, completed May 2021)
  • Daniel Herring (PhD student, second supervisor, completed March 2023)
  • Xunzhao Yu (PhD student, second supervisor, completed July 2023)
  • Fawaz Alanazi (PhD student, first supervisor, completed Feb 16th 2017)
  • Haneen Algethami (PhD student, second supervisor, completed Feb 2017)
  • Dogan Corus (PhD student, first supervisor, completed Dec 15th 2016)
  • Duc-Cuong Dang (PostDoc, completed Dec 2016)
  • Shahriar Asta (PhD student, second supervisor, completed)