All Outputs (11)

Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis. (2022)
Presentation / Conference
HOSSAIN, M., FAISAL, N., PRATHURU, A., KURUSHINA, V., CAI, Q., HORRI, B. and SOMAN, A. 2022. Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis. Presented at the 4th International conference on energy and power 2022 (ICEP2022), 11-13 December 2022, Dhaka, Bangledesh: [virtual conference].

The UK government in their 2021 Hydrogen Strategy recognises that the low carbon hydrogen plays a critical role in achieving transition to net zero and sets a target of 5GW of low carbon hydrogen production capacity by 2030 for use across the economy... Read More about Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis..

An evaluation of the morphological, microstructural and mechanical behaviour of the glass fibre/HDPE thermoplastic composite pipe. (2022)
Presentation / Conference
OKOLIE, O., NJUGUNA, J. and FAISAL, N. 2022. An evaluation of the morphological, microstructural and mechanical behaviour of the glass fibre/HDPE thermoplastic composite pipe. Presented at 2022 Scottish Research Partnership in Engineering 2022, 21 November 2022, Edinburgh, UK.

Composite pipes are increasingly being used as an alternative solution to conventional metal-based pipes. This development is in response to significant corrosion failures with the metallic pipes and enables better decision making especially for the... Read More about An evaluation of the morphological, microstructural and mechanical behaviour of the glass fibre/HDPE thermoplastic composite pipe..

The role of video aids in online teaching: engineering design as a case study. (2022)
Presentation / Conference
ABOLLE, J. and IYALLA, I. 2022. The role of video aids in online teaching: engineering design as a case study. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

The use of video aids has long been the subject of argument in pedagogic research (Hamel et al. 2019). With the recent shift from face-to-face to a more blended mode of teaching due to COVID, it is clear that video aids should be an inevitable part o... Read More about The role of video aids in online teaching: engineering design as a case study..

Developing a virtual engineering lab using ADDIE model. [Poster] (2022)
Presentation / Conference
AMISH, M. 2022. Developing a virtual engineering lab using ADDIE model. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

This poster describes a project in RGU's School of Engineering that aims to develop a complete learning management product that will aim to address the limitations of hands-on laboratories and meet students' growing expectation for seamless integrati... Read More about Developing a virtual engineering lab using ADDIE model. [Poster].

University-employer partnerships: petroleum engineering work-based learning models using adopted Merrill's first principles of instruction. (2022)
Presentation / Conference
AMISH, M. 2022. University-employer partnerships: petroleum engineering work-based learning models using adopted Merrill's first principles of instruction. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

This poster describes models for work-based learning used by the petroleum engineering industry, in partnership with the RGU School of Engineering. The reasoning and impact of such models are evaluated, and reflections made on their benefits.

Developing a technology to design a collaborative online project-based learning model. (2022)
Presentation / Conference
AMISH, M. 2022. Developing a technology to design a collaborative online project-based learning model. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

This poster describes a project that aimed to develop technology that would support the design of collaborative online project-based learning within the RGU School of Engineering. Project-based learning is reported to help students develop soft skill... Read More about Developing a technology to design a collaborative online project-based learning model..

RGU ECHO work in progress. (2022)
Presentation / Conference
HOSSAIN, M. and MCGOWAN, J. 2022. RGU ECHO work in progress. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

The mental health (MH) and wellbeing (MW) of higher education students is a subject that has increased in visibility in recent years. The evidence available for students as a population indicates: higher risk of poor mental wellbeing; the challenging... Read More about RGU ECHO work in progress..

Weathering the storm. (2022)
Presentation / Conference
WORK, F. and the RGU INSTITUTIONAL RESILIENCE PROJECT GROUP. 2022. Weathering the storm. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

Resilient Learning Communities is the 2020-2023 sector-wide QAA Enhancement theme (QAA 2020), with a specific aim to improve the student learning experience. QAA Enhancement themes involve institutions, staff and students working together to share pr... Read More about Weathering the storm..

Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario. (2022)
Presentation / Conference
ATTEYA, A.I., ALI, D. and HOSSAIN, M. 2022. Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario. Presented at the 2022 All-energy exhibition and conference: low carbon heating and cooling, 11-12 May 2022, Glasgow, UK.

The admission of renewable energy systems into the grid is subject to significant variability due to their intermittency, requiring central generations to cover any transient variation between renewable power input and consumer demand. To allow suppo... Read More about Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario..

Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approaches. (2022)
Presentation / Conference
AMINAHO, E.N., SANAEE, R. and FAISAL, N. 2022. Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approaches. Presented at the Applicability of hydrocarbon subsurface workflows to CCS conference, 28-29 April 2022, London, UK.

Carbon Dioxide (CO2) geosequestration represents one of the most promising options for reducing atmospheric emissions of CO2. Caprock integrity - ascertained based on the petrophysical and geomechanical properties of caprock - is vital to ensure safe... Read More about Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approaches..

Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approach. (2022)
Presentation / Conference
AMINAHO, E.N., SANAEE, R. and FAISAL, N. 2022. Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approach. To be presented at 9th Annual student energy congress 2022 (ASEC 2022), 7-9 March 2022, Zagreb, Croatia.

Carbon (IV) oxide (CO2) geosequestration represents one of the most promising options for reducing atmospheric emissions of CO2. Capturing carbon dioxide is proposed as one solution to global climate change caused by anthropogenic gases in the atmosp... Read More about Evaluation of caprock integrity for underground storage of CO2 in depleted oil and gas reservoirs using machine learning approach..