Taylor, M. & Dalton, A. (2017). Bad vibrations for cyclists in the city. Scotland on Sunday
Article published on risk of nerve damage associated with poor cycling infrastructure in the City of Edinburgh. Research collaboration with Professor Chris Oliver (Edinburgh ...
Esteban-Altabella, J., McDougall, J., Colomer-Mendoza, F., Gallardo, A. & Edo-Alcon, N. (2017). Review and application of a settlement model for landfills. In International Waste and Landfill Symposium ProceedingsISBN 978-88-6265-010-6
The geotechnical behavior and settlement in landfills has been changing for many years. This behavior in fact depends on many factors and, therefore, making forecasts is compl...
Datta, S., Zekkos, D., Fei, X. & McDougall, J. (in press). Experimental Assessment and Modelling of Coupled Biochemical-Physical-Mechanical Biodegradation Process of a Municipal Solid Waste Sample from Michigan. In Coupled Phenomena in Environmental Geotechnics, 6. ISBN NA
ABSTRACT: Municipal solid waste (MSW) is biodegradable in landfills under anaerobic conditions. The evolution of the
biochemical, physical and mechanical characteristics of MS...
Royal Society of Edinburgh
This research builds on existing cooperation with Dr Emoke Imre from Obuda University in Hungary.
The aim of the project is to visit the institution in Budapest to further research and deliver a lec...
Scottish Funding Council
This project aims to review an assess existing remote sensing technologies in order to improve and adapt technologies currently used in other fields to civil engineering applications. The two main aim...
Developing the Nanoguard coating for use in construction and the built environment
The main aim of the project seeks to enhance the resistance of the soil foundation against seismic events with the introducti...
08 October 2017
Details of research output in press. Results show that cyclists are being exposed to hand-arm vibration (HAV) and infrastructure must be improved to prevent long term health ...
09 October 2017
Senior Research Fellow
KTP Associate - Data Analytics - Standard Life
Soufian, M. (in press). Adaptive clustering based inclusion and computational intelligence for fed-batch fermentation process control, part 1, modelling. In UnknownISBN Unknown
Alwis, L. S. M., Bustamante, H., Bremer, K., Roth, B., Sun, T. & Grattan, K. T. V. (2017). A pilot study: Evaluation of sensor system design for optical fibre humidity sensors subjected to aggressive air sewer environment. In 2016 IEEE SENSORS,doi:10.1109/icsens.2016.7808482. ISBN 978-1-4799-8287-5
Research has identified that humidity plays a fundamental role on the conversion of hydrogen sulphide into sulphuric acid during corrosion of concrete in gravity sewers and th...
Tokede, O., Gupta, N. & Wamuziri, S. (2016). Evaluating the cost of disruption in office retrofit building projects. In Proceedings of 10th ICEC World Congress & Council Meeting, 1086-1098. ISBN n/a
The purpose of this paper is to evaluate the cost of disruption in office retrofit building projects.
This work adopts a positivist approach and evaluates the cost of disrup...
Marinelli, A. (2016). A combined experimental and numerical study of the pull-out mechanism of threaded titanium bars embedded in marble blocks. In The ECCOMAS Congress 2016 Proceedings, 5207-5218. ISBN 978-618-82844-0-1
The present study describes the first stage of an ongoing research project aiming to investigate the failure mechanisms activated when reinforcing bars are pulled-out from the...
Murnane, D., Ramachandran, V., Hammond, R., Pickering, J., Roberts, K., Soufian, M., …Pencheva, K. (2016). Blending Pre-formulation Metrics with Molecular Calculations to Facilitate Aerosol Product Formulation. In Respiratory Drug Delivery, 79-88. ISBN na
In silico modeling using synthonic engineering provides a powerful tool to assist quality by design (QbD) strategies by facilitating the study of molecular forces of interacti...
Barreto, D., Prada-Sarmiento, L. F., & Ramos-Cañón, A. M. (2015). Micromechanical insight into the undrained instability of granular materials: deformation characteristics of geomaterials. In V. A. Rinaldi, M. E. Zeballos, & J. J. Clariá (Eds.), Deformation Characteristics of Geomaterials, 655-662. doi:10.3233/978-1-61499-601-9-655
There is no agreement between experimental researchers whether the point where a granular material responds with a large change of stresses, strains or excess pore water press...
Leung, A., Anastasopoulos, I. X., Augarde, C. E., Barreto, D., Brennan, A. J., Brown, M. J. Z., …Zielinski, M. (2015). An overview of research activities and achievement in Geotechnics from the Scottish Universities Geotechnics Network (SUGN). In Geotechnical Engineering for Infrastructure and Development: XVI European Conference on Soil Mechanics and Geotechnical Engineering, 4289-4294. ISBN 9780727760678
Design of geotechnical systems is often challenging as it requires the understanding of complex soil behaviour and its influence on field-scale performance of geo-structures. ...
Hammond, R. B., Pencheva, K., Pickering, J., Ramachandran, V., Roberts, K. J. & Soufian, M. (2014). Prediction of powder cohesivity using a systematic search method for directing pharmaceutical formulation. In 45th BACG annual conference
Prediction of powder cohesivity using a systematic search method for directing pharmaceutical formulation
Soufian, M., Nguyen, H., Roberts, K. J., Pencheva, R. & Hammond, R. B. (2014). Experimental and theoretical prediction of dissolution rates for pharmaceutical substances. In 45th BACG annual conference
Experimental and theoretical prediction of dissolution rates for pharmaceutical substances.
Hammond, . R. B., Pickering, J., Ramachandran, V., Roberts, K. J. & Soufian, M. (2014). Visual habit: A tool for energy based prediction of crystal habits. In 45th BACG annual conference
Visual habit: A tool for energy based prediction of crystal habits.
Soufian, M. (2014). Machine Learning and MD simulation for solvent mediated morphology prediction of Ibuprofen. In 11th International Workshop on the Crystal Growth of Organic Materials (CGOM11)
Machine Learning and MD simulation for solvent mediated morphology prediction of Ibuprofen.
Soufian, M. (2014). Model structure selection, validation and generalisation for solvent mediated morphology prediction of Ibuprofen. In 11th International Workshop on the Crystal Growth of Organic Materials (CGOM11
Model structure selection, validation and generalisation for solvent mediated morphology prediction of Ibuprofen.
This is a travel grant to develop research on unsaturated soil behaviour and cyclic behaviour of soils and their relations with climate changes effects on civil engineering infrastructure. It aims to ...
Royal Academy of Engineering
Structures such as bridges or wind turbines develop loads that have to be transmitted to the ground.
The loads can be static (self-weight) or dynamic (wind, wave or traffic loads) and may be significa...
Engineering and Physical Sciences Research Council
Industrial Case studentship - The aim of the project is to develop algorithms and an Application Program Interface (API) that will provide an intelligent analysis of the complex signals generated by a...
Around half of all non-renewable resources mankind consumes are used in construction sector, making it one of the least sustainable industries in the...
16 October 2017
Cyclists are risking permanent nerve damage due to poor road surfaces, research by Edinburgh Napier University reported in The Scotsman suggests.
The research sug...
13 October 2017