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A recent mugshot

Joshua Knowles

School of Computer Science / MIB

University of Manchester

 

Hi,

I'm a senior lecturer in the Machine Learning and Optimization group, where I've been working since 2006. My primary research interests are global optimization, multiobjective optimization and evolutionary algorithms. I do applied work in a number of different areas as you will see from my research and students pages. Biosciences applications are a strong interest.

I am currently supervising or co-supervising five research students. But if you are looking for opportunities, I still have some: here. My former PhD student, Richard Allmendinger, passed his viva in February 2012. He is now a postdoc at UCL. Here is his thesis on Closed-Loop Optimization.

My teaching includes Algorithms for the 2nd Year undergraduates, and Optimization for Learning, Planning and Problem Solving on the MSc.

Have a look at my news page for recent activities and events attended.

Other things I like to optimize when not at work are my Northwest Counties Squash League ranking (2087), and my golf handicap (13). (Neither is very impressive, but we live in hope). I also have a cat called "Darwin".

Qualifications

BSc (Hons); PGCE; MSc (Dist'n); PhD

Awards and Fellowships

  • Outstanding IEEE Transactions on Evolutionary Computation Paper Award (2006)
  • BBSRC David Phillips Fellowship (2002-2008)
  • FNRS Charge de Recherche (Fellowship of the Belgian National Science Fund) (declined 2003)
  • Outstanding IEEE Transactions on Evolutionary Computation Paper Award (2003)
  • EC Marie Curie Posdoctoral Fellowship (2001-2003)

Research

My research page has links to ongoing and past projects.

Some projects have been: multiobjective data clustering (MOCK algorithm), DNA aptamer evolution (directed evolution) on microarrays, drug combinations optimization, NMR spectrum-to-structure elucidation (using ant colony optimization), inverse modelling of biochemical pathways (NF-Kappa B), and human serum metabolomics. Most of this work is published in biochemistry and interdisciplinary journals, though there are some CS spin-off papers too.

During my PhD, I worked with David Corne on local search and evolutionary algorithms in multiobjective optimization, and we developed the PAES and PESA algorithms.

My first piece of research in 1996 for the MSc was on an evolutionary neural network for automated radiation therapy treatment planning. This was done with Royal Berkshire Hospital, and it later became a PhD project at the Institute for Cancer Research.

Industrial Collaboration

My PhD was sponsored by BT. Other projects were with HBOS, Astra Zeneca, GSK, and Combimatrix. I did a sabbatical at Theo Chocolate, Seattle in 2009.

Grants

Current funding:
BB/I023755/1 MUSCLE: Multi-platform Unbiased optimization of Spectrometry via Closed-Loop Experimentation (PI)
BB/C008219/1 MCISB: The Manchester Centre for Integrative Systems Biology (co-I)

Earlier funding:
BBSA00013 BBSRC David Phillips Fellowship: Interactive evolutionary search for post-genomic knowledge discovery and prediction using GRID computing (PI)
BB/C007158/1 Constrained optimisation of metabolic and signalling pathway models: towards an understanding of the language of cells (co-I)
BB/C519038/1 HUSERMET: The human serum metabolome in health and disease (co-I)
EP/D013615/1 A convergent strategy for high efficiency quantitative proteomics (co-I)

Publications

See my publications page for a full list. My papers on Google Scholar are here. My current h-index is 40.

Collaborators

(This is not an extensive list)
  • David Corne
  • Julia Handl
  • Douglas Kell
  • Steve O'Hagan
  • Richard A. Watson
  • Carlos Fonseca
  • Eckart Zitzler
  • Lothar Thiele
  • Manuel Lopez-Ibanez
  • Marco Laumanns
  • Robert Synovec
  • Andy McShea
  • Liz Humston
  • Leonora Bianchi
  • Will Rowe
  • Mark Platt
  • Chris Knight
  • David Wedge
  • Gavin Brown
  • David Brough
  • Ben Small
  • Pedro Mendes
  • Nancy Rothwell
  • Marco Dorigo
  • Caroline Farrelly
  • Norman Paton
  • Sandra Sampaio
  • Ludi Mikhailov