Dr Sean Anderson
School of Electrical and Electronic Engineering
Senior Lecturer
Full contact details
School of Electrical and Electronic 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
- Hybrid metric‐topological localization for robots in pipe networks. Journal of Field Robotics, 42(3), 806-826. View this article in WRRO
- Acoustic echo sensing for robot localization in buried pipe networks. IEEE Sensors Journal, 24(16), 26506-26521. View this article in WRRO
- Sensor placement for data assimilation of turbulence models using eigenspace perturbations. Physics of Fluids, 36, 015144. View this article in WRRO
- Interpretable deep learning for nonlinear system identification using frequency response functions With ensemble uncertainty quantification. IEEE Access, 12, 11052-11065. View this article in WRRO
- Robotic sensing for buried pipes with sound waves. The Journal of the Acoustical Society of America, 154(4_supplement), A68-A68.
- Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting. Neurocomputing, 555. View this article in WRRO
- Visual simultaneous localisation and mapping for sewer pipe networks leveraging cylindrical regularity. IEEE Robotics and Automation Letters, 8(6), 3406-3413. View this article in WRRO
- A robust method for approximate visual robot localization in feature-sparse sewer pipes. Frontiers of Robotics and AI, 10. View this article in WRRO
Book chapters
- A Hybrid RANS-LES Dataset for Data-Driven Turbulent Mean Flow Reconstruction, Proceedings of the Cambridge Unsteady Flow Symposium 2024 (pp. 121-133). Springer Nature Switzerland
- Interpretable Deep Learning for System Identification Using Nonlinear Output Frequency Response Functions, Advances in Intelligent Systems and Computing (pp. 361-366). Springer Nature Switzerland
Conference proceedings
- A deep learning benchmark analysis of the publicly available WRc dataset for sewer defect classification. Proceedings of 21st Computing & Control for the Water Industry Conference (CCWI 2025). Sheffield, UK, 1 September 2025 - 1 September 2025. View this article in WRRO
- Feature detection and classification in buried pipes using LiDAR technology. Proceedings of the The 21st International Computing & Control in the Water Industry Conference,, CCWI 2025. Sheffield, UK, 1 September 2025 - 1 September 2025. View this article in WRRO
- Improving Motor Imagery-Based Brain-Computer Interfaces with Simple EEG Data Augmentation Algorithms: A Comparative Analysis. 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp 423-428), 21 October 2024 - 23 October 2024.
- Aerodynamic shape optimisation using a machine learning-augmented turbulence model. AIAA SCITECH 2024 Forum. Orlando, FL, USA, 8 January 2024 - 8 January 2024. View this article in WRRO
- A priori sensor placement strategy for turbulent mean flow reconstruction using parametric model perturbations. AIAA SCITECH 2024 Forum. Orlando, FL, USA, 8 January 2024 - 8 January 2024. View this article in WRRO
- Holistic self-distillation with the squeeze and excitation network for fine-grained plant pathology classification. 2023 26th International Conference on Information Fusion Proceedings. Charleston, SC, USA, 27 June 2023 - 27 June 2023. View this article in WRRO
- Reinforcement Learning for Robot Fracture Reduction Surgery. HSMR 2025
- Hybrid metric‐topological localization for robots in pipe networks. Journal of Field Robotics, 42(3), 806-826. View this article in WRRO
- 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.
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