Search for a surname in the box below and then click "Search" to search for Staff.
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...
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...
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
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 ...
KTP Associate - Data Analytics - Standard Life
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...
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.
Rosbottom, I., Roberts, K. J., Hammond, R. B. & Soufian, M. (2013). Morphological prediction of the polymorphic forms of para amino-benzoic acid based on internal crystallographic structure and crystallisation environment. In 17th International Conference on Crystal Growth and Epitaxy - ICCGE-17
Morphological prediction of the polymorphic forms of para amino-benzoic acid based on internal crystallographic structure and crystallisation environment.
Hammond, R., Nguyen, H., Pickering, J., Soufian, M., Ramachandran, V., Roberts, K., …George, N. (2013). Synthonic engineering: tools for the rational design of high quality pharmaceuticals. In Proceeding of ICCOSS 2013ISBN n/a
Synthonic engineering: tools for the rational design of high quality pharmaceuticals.
Kelly, D., McDougall, J. & Barreto, D. (2012). Effect of particle loss on soil behaviour
Soil particle loss can result in strength and volume reductions which are difficult to predict. This paper investigates the
influence of the removal of fractions of selected p...
Barreto, D. (2012). The use of electronic voting systems to enhance deep learning. In McCabe, B., Pantazidou, M. & Phillips, D. (Eds.). Shaking the Foundations of Geo-engineering Education - proceedings of the international conference Shaking the Foundations of Geo-engineering Education (NUI Galway, Ireland, 4-6 July 2012ISBN 978041562127
The present paper introduces a technology-enhanced teaching method that promotes deep learning.
Four stages that correspond to four different student cohorts were used for its...
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 ...