James Pinchin

Contact

• workRoom A01 Mark Group House
  University Park
  Nottingham
  NG7 2RD
  UK
• James.Pinchin@nottingham.ac.uk

Biography

I am an Assistant Professor in Geospatial Science in the Department of Architecture and Built Environment. I am the Co-Programme Director and Senior Tutor for the Architectural Environment Engineering programmes.

I am a co-investigator at Horizon Digital Economy Research and a member of the Nottingham Geospatial Institute. I am also a member of Transport, Mobility and Cities.

Expertise Summary

I work on the development of positioning and navigation technologies for people and objects. I have worked extensively with navigation sensors including GNSS, inertial sensors and electro-magnetic sensors. I have also worked on the use of sensors of opportunity including WiFi, BLE and the digital footprint. I am interested in the use of movement and dynamic models in sensor integration and in the application of movement data to understanding human behaviour.

Teaching Summary

I teach at undergraduate and postgraduate level in the Department of Architecture and the Built Environment. I chair the department extenuating circumstances committee and I am aso the Deputy… read more

Research Summary

I specialise in the positioning and guidance of people and objects. I am involved in a series of projects which aim to use the measurement of movement to answer questions about human behaviour and… read more

Recent Publications

• LYE, R., BENNETT, C., ROUSE, J. and ZUMPANO, G., 2022. An inverse analysis method for determining abradable constitutive properties: Materials Today Communications Materials Today Communications. 33,
• SHIPMAN, R., ROBERTS, R., WALDRON, J., NAYLOR, S., PINCHIN, J., RODRIGUES, L. and GILLOTT, M., 2021. We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network: Energy Energy. 221,
• HARRINGTON, K., PINCHIN, J. and SHARPLES, S., 2021. Computer Aided Search Tasks in a Naturally Occurring Environment
• MWENEGOHA, H. A., MOORE, T., PINCHIN, J. and JABBAL, M., 2021. Error characteristics of a model-based integration approach for fixed-wing unmanned aerial vehicles: Journal of Navigation Journal of Navigation.

• View all publications

I teach at undergraduate and postgraduate level in the Department of Architecture and the Built Environment. I chair the department extenuating circumstances committee and I am aso the Deputy Programme Director and Senior Tutor for the Architectural Environment Engineering group of courses.

I supervise postgraduate students on topics in Geospatial Science, Aerospace and the Digital Economy.

Module Convenor:

• ABEE3037 Computational Fluid Dynamics in the Built Environment
• ABEE4096 Building Physics

I contribute to teaching on:

• ABEE1010 Architectural Engineering 1
• ABEE2013 Environmental Performance Modeling

Project Supervision

• ABEE4074 Renewable Energy Technology Transfer Project
• ABEE3036 BEng Research Project
• ABEE4109 MEng Research Project

Current Research

I specialise in the positioning and guidance of people and objects. I am involved in a series of projects which aim to use the measurement of movement to answer questions about human behaviour and the design of places and systems.

Future Research

I welcome enquiries from potential PhD candidates from Home, EU and International countries who are interested in the following research areas: Design and Application of Human Tracking Systems, Movement Model Supported Navigation, Ubiquitous Positioning Technologies, Position and Orientation Determination.

• LYE, R., BENNETT, C., ROUSE, J. and ZUMPANO, G., 2022. An inverse analysis method for determining abradable constitutive properties: Materials Today Communications Materials Today Communications. 33,
• SHIPMAN, R., ROBERTS, R., WALDRON, J., NAYLOR, S., PINCHIN, J., RODRIGUES, L. and GILLOTT, M., 2021. We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network: Energy Energy. 221,
• HARRINGTON, K., PINCHIN, J. and SHARPLES, S., 2021. Computer Aided Search Tasks in a Naturally Occurring Environment
• MWENEGOHA, H. A., MOORE, T., PINCHIN, J. and JABBAL, M., 2021. Error characteristics of a model-based integration approach for fixed-wing unmanned aerial vehicles: Journal of Navigation Journal of Navigation.
• SHIPMAN, R., WALDRON, J., NAYLOR, S., PINCHIN, J., RODRIGUES, L. and GILLOTT, M., 2020. Where will you park? Predicting vehicle locations for vehicle‐to‐grid: Energies Energies. 13(8),
• MWENEGOHA, H. A., MOORE, T., PINCHIN, J. and JABBAL, M., 2020. A Model-based Tightly Coupled Architecture for Low-Cost Unmanned Aerial Vehicles for Real-Time Applications: IEEE Access IEEE Access.
• MWENEGOHA, H., MOORE, T., PINCHIN, J. and JABBAL, M., 2019. Model-Based Autonomous Navigation with Moment of Inertia Estimation for Unmanned Aerial Vehicles: Sensors (Basel, Switzerland) Sensors (Basel, Switzerland). 19(11),
• LANG, A., SIMMONDS, M., PINCHIN, J., SHARPLES, S., DUNN, L., CLARKE, S., BENNETT, O., WOOD, S. and SWINSCOE, C., 2019. The impact of an electronic patient bedside observation and handover system on clinical practice: Mixed-methods evaluation: Journal of Medical Internet Research Journal of Medical Internet Research. 21(3),
• MARTINDALE, S., GOLIGHTLY, D., PINCHIN, J., SHAW, D., BLAKEY, J., PEREZ, I. and SHARPLES, S., 2019. An interview analysis of coordination behaviours in Out–of–Hours secondary care: Applied Ergonomics Applied Ergonomics. 81,
• NAYLOR, S., PINCHIN, J., GOUGH, R. and GILLOTT, M., 2019. Vehicle Availability Profiling from Diverse Data Sources
• MWENEGOHA, H. A., MOORE, T., PINCHIN, J. and JABBAL, M., 2019. Enhanced fixed wing UAV navigation in extended GNSS outages using a vehicle dynamics model and raw GNSS observables
• MASHUK, M. S., PINCHIN, J., SIEBERS, P. O. and MOORE, T., 2018. A smart phone based multi-floor indoor positioning system for occupancy detection
• HARRINGTON, K., BROWN, M., PINCHIN, J. and SHARPLES, S., 2018. Decision-making within missing person search: Cognition, Technology and Work Cognition, Technology and Work.
• I. PEREZ, J. PINCHIN, M. BROWN, J. BLUM and S. SHARPLES, 2016. Unsupervised Labelling of Sequential Data for Location Identification in Indoor Environments Expert Systems with Applications. 61, 386–393
• I. PEREZ, M. BROWN, J. PINCHIN, S. MARTINDALE, S. SHARPLES, D. SHAW and J. BLAKEY, 2016. Out of hours workload management: Bayesian inference for decision support in secondary care Artificial Intelligence in Medicine. 73, 34-44
• JING, HAO, PINCHIN, JAMES, HILL, CHRIS and MOORE, TERRY, 2016. An Adaptive Weighting based on Modified DOP for Collaborative Indoor Positioning Journal of Navigation. 69(02), 1-21
• MILNE, HEATHER, ROGERS, MILES, BLUM, JESSE, PINCHIN, JAMES and BLAKEY, JOHN, 2016. How much of a doctor�s on-call shift is spent searching for equipment and paperwork? A mixed methods study Future Hospital Journal. 3(Suppl 2), s1-s1
• PEREZ, IKER, BROWN, MICHAEL, PINCHIN, JAMES, MARTINDALE, SARAH, SHARPLES, SARAH, SHAW, DOMINICK and BLAKEY, JOHN, 2016. Out of hours workload management: Bayesian inference for decision support in secondary care Artificial Intelligence in Medicine. 73, 34-44
• SHARPLES, SARAH, BROWN, MICHAEL, PINCHIN, JAMES, BLUM, JESSE, NAGIYEV, ARZOO, RYAN, BRENDAN, SHAW, DOMINICK and BLAKEY, JOHN, 2015. Ubiquitous Technologies for Capture of Real-World Performance In: Proceedings 19th Triennial Congress of the IEA. 14
• PINCHIN, J., SMITH, G., HILL, C., MOORE, T. and LORAM, I., 2014. The potential of electromyography to aid personal navigation In: 27th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2014. 2. 1609-1615
• PINCHIN, JAMES, BROWN, MICHAEL, BLUM, JESSE, SHAW, DOMINIC and BLAKEY, JOHN, 2014. Integrating WiFi based positioning with a job management system to study task management behaviour In: 2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014. 193-200
• JOHN D BLAKEY, MICHAEL BROWN, JAMES PINCHIN, MARK BARLEY, SARAH SHARPLES, 2014. PRO: confronting resistance to rule-based medicine is essential to improving outcomes
• PINCHIN, JAMES, SMITH, GAVIN, HILL, CHRIS, MOORE, TERRY and LORAM, IAN, 2014. The Potential of Electromyography to Aid Personal Navigation In: Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014).
• PINCHIN, J. RACK,W., 2011. High Accuracy Ice Surface Roughness Characterisation Using GPS KTD and a Laser Distance Meter In: ION GNSS 2011. 1290-1298
• PINCHIN, J. HIDE,C. MOORE,T., 2011. Integration of Heading-Aided MEMS IMU with GPS for Pedestrian Navigation In: ION GNSS 2011. 1290-1298
• PINCHIN, J.T., 2011. GNSS Based Attitude Determination for Small Unmanned Aerial Vehicles
• PINCHIN, J. PARK, D. and CHEN, X.Q., 2009. GNSS Attitude Determination on a Mini UAV Aided By a Platform Dynamics Model In: ION GNSS 2009.
• PINCHIN, J., HIDE, C., PARK, D. and CHEN, X.Q., 2008. Precise kinematic positioning using single frequency GPS receivers and an integer ambiguity constraint In: Position, Location and Navigation Symposium, 2008 IEEE/ION. 600-605
• HIDE, C., PINCHIN, J. and PARK, D., 2007. Development of a low cost multiple GPS antenna attitude system In: ION GNSS 2007. 88-95