Dr Sean Anderson

Department of Automatic Control and Systems Engineering

Senior Lecturer

Profile picture of Sean Anderson
Profile picture of Profile picture of Sean Anderson
s.anderson@sheffield.ac.uk
+44 114 222 5608

Full contact details

Dr Sean Anderson
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
Profile

Dr Sean Anderson is a senior lecturer in the Department of Automatic Control and Systems Engineering, University of Sheffield; He received the MEng degree in Control Systems Engineering from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K., in 2001, and the PhD degree from the Department of Chemical and Process Engineering, University of Sheffield, in 2005.

He then moved to the Centre for Signal Processing in Neuroimaging and Systems Neuroscience at the Department of Psychology, University of Sheffield, where he worked as a Research Associate from 2005-2010. He moved to the Department of Automatic Control and Systems Engineering in 2010 where he is currently pursuing research themes in bioinspired robotics as well as adaptive and optimal control in biological systems.

Research interests
  • Linear, Nonliner and Spatiotemporal System Identification
  • Robotics and Biomechatronics
  • Theoretical Neuroscience and Computational Biology

Research Experience

  • Research Associate in Complex Systems and Signal Processing Group, Dept of ACSE, Univ of Sheffield, 2010-2011.
  • EU FP7 project "Biomimetic Technology for Vibrissal Active Touch" (Biotact), 2009-2010.
  • EPSRC project "Functions of Distributed Plasticity in a Biologically-Inspired Adaptive Control Algorithm: From Electrophysiology to Robotics" (Eyerobot), 2005-2008.
Publications

Journal articles

Chapters

Conference proceedings papers

Preprints

  • Worley R, Yu Y, Horoshenkov K & Anderson S (2023) Acoustic Echo Sensing for Robot Localization in Buried Pipe Networks, Institute of Electrical and Electronics Engineers (IEEE). RIS download Bibtex download
  • Hartwell A, Kadirkamanathan V & Anderson SR (2018) Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals, arXiv. RIS download Bibtex download
  • James S, Bell OA, Nazli MAM, Pearce RE, Spencer J, Tyrrell K, Paine PJ, Heaton TJ, Anderson S, Da Lio M & Gurney K (2017) Target-distractor Synchrony Affects Performance in a Novel Motor Task for Studying Action Selection, arXiv. RIS download Bibtex download
  • Hartwell A, Kadirkamanathan V & Anderson SR () A temporal-to-spatial deep convolutional neural network for classification of hand movements from multichannel electromyography data. View this article in WRRO RIS download Bibtex download
Grants

Major Grants

  • EU H2020, Dreams4Cars - Dreamlike Simulation Abilities for Automated Cars (Sheffield PI), Jan 2017-Dec 2019, EUR 4 million.
  • EU FP7, NoTremor - Virtual, Physiological and Computational Neuromuscular Models for the Predictive Treatment of Parkinson’s Disease (CI), Jan 2014-Dec 2016, EUR 2.9 million.
  • EPSRC, Assessing the Underworld - An integrated performance model of city infrastructures (EP/K021699/1) (CI), Jun 2013-May 2017, £5,782,838.
  • EPSRC, Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots (EP/I032533/1) (CI), Jan 2012-Jul 2015, £1,081,051. http://www.bellaproject.co.uk/

Pilot Funding, Feasibility Studies and Equipment Grants

  • Royal Society Equipment Grant, Oct 2013-Sep 2014, £15,000.
  • Insigneo Bursary for Clinical Translation, funded by Sheffield Hospitals Charity Trust. Gastric Surface Mapping for Future Automated Approaches to Wireless Capsule Endoscopy of the Upper Gastrointestinal (GI) Tract, Dec 2013-Apr 2014, £15,500.
  • Engineering for Life award, funded by the University of Sheffield. Towards a smart vest for sensing and actuation of wireless capsule endoscopes (PI), Oct 2012-Mar 2013, £31,741.
  • Peninne Water Group, University of Sheffield. Developing ultrasound sensing technology to assess infrastructure and soil conditions external to buried pipes, Sep 2012-Jan 2013, £15,000.
Teaching activities
  • ACS61011 Deep Learning