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Seminars

EAU Research Seminars 2021

Date: 07/04/2021

Presenter: Dr. Ahlam Al Zoubi  

Business School, Emirates Aviation University

Title: Re-imagining the Educational Experience: Generation Z’s Perspectives on Higher Education

Abstracts

This study explored the associations that Generation Z students have related to a global business school. Using an innovative projective technique (Koenigstorger, Groeppel-Klien, & Pla 2008), the researchers drew out and identified subconscious themes that students most associated with a particular business school. An analysis of the findings indicated that achievement, friendship, global scope, and future vision were the most important characteristics that emerged. These results suggest that to attract and retain Generation Z students and ensure student satisfaction, business schools need to enhance and promote these aspects of the educational experience creating a more holistic and polyphonic learning environment. Faced with the prospect of a fundamental change to the higher education environment due to the COVID 19 pandemic, the challenge of how to satisfy the expectations of Generation Z learners while maintaining a safe physical space is even more crucial.

Presenter: Dr Elham Taloei

School of Engineering, Emirates Aviation University

Title: Identification of a New Rheology Dependent Platelet Aggregation Mechanism Driving Thrombus Growth

Abstracts

Platelet aggregation at sites of vascular injury is essential for hemostasis and arterial thrombosis. It has long been assumed that platelet aggregation and thrombus growth is initiated by soluble agonists generated at sites of vascular injury. By utilizing high resolution intravital imaging techniques and hydrodynamic analyses we demonstrate that platelet aggregation is primarily driven by changes in blood rheology, with soluble agonists playing a secondary role, stabilizing formed aggregates. In response to vascular injury, thrombi initially develop through the progressive stabilization of discoid platelet aggregates. Analysis of blood flow dynamics revealed that discoid platelets preferentially adhere in low shear zones on the downstream face of forming thrombi, with stabilization of aggregates dependent on the formation of a novel membrane adhesion structure. These findings provide new insight into the prothrombotic effects of disturbed rheology and suggest a fundamental reinterpretation of the mechanisms driving platelet aggregation and thrombus growth.


Date: 14/04/2021

Presenter: Dr Abdalellah Mohmmed

School of Engineering, Emirates Aviation University

Title: One-way coupled fluid–structure interaction of gas–liquid slug flow in a horizontal pipe: Experiments and simulations

Abstracts

Pipelines conveying a multiphase mixture must withstand the cyclic induced stresses that occur due to the alternating motion of gas pockets and liquid slugs. Few previous studies have considered gas–liquid slug flow and the associated fluid–structure interaction problems. In this study, experimental and numerical techniques were adopted to simulate and analyze the two-phase slug flow and the associated stresses in the pipe structure. In the numerical simulation, a one-way coupled fluid–structure framework was developed to explore the slug flow interaction with a horizontal pipe assembly under various superficial gas and liquid velocities. A modified Volume of Fluid and finite element methods were utilized to model the fluid and structure domains. The file-based coupling technique was adopted to execute the coupling mechanism. By contrast, slug characteristics were measured experimentally, while Bi-axial strain gauges were used to capture time-varying strain signals. Excellent agreements between the predicted and measured stress results were achieved with a maximum error of 10.2 %. It was found that at constant superficial liquid velocity, the maximum induced stresses on the pipe wall increased with increasing the slug length and slug velocity. While for the slug frequency, the maximum principal stresses decreased with increasing the slug frequency.

Presenter: Dr Reyaz Ahmad

School of Mathematics & Data Science, Emirates Aviation University

Title: Some Classes of Opertors Related To p-Hyponormal Opertor

Abstracts

We introduced a new family of classes of operators termed as *p-paranormal operator,*A(p,p); p >0 and *A(p.q); p,q>0, parallel to p-pranormal operator and classes A(p,p);p>0 and A(p,q);p,q>0 introduced by M.Fuji,D. jung.S.H.Leeand R. Nakamoto[1].We present a necessary and sufficient condition for p-hyponormal operator  Tϵ B(H) to be *p-paaranormal and the monotonocity of *A(p,q). We also present an alternative proof of a result of M.Fuji,et.al.[,Theorem 3,4]


Date: 05/05/2021

Presenter: Dr Nidhi Chaturvedi

EAU Business School, Emirates Aviation University

Title: ‘Exploring the Factors affecting buying behaviour of women in UAE’

Abstracts

Purpose: The purpose of this study is to investigate the various factors affecting consumer buying behaviour in UAE for beauty products with special reference to the Emirates of Dubai and Sharjah. The four factors of buying behavior studied were Personal, Psychological, Cultural and Social.

Design/ Methodology: Extensive research of the relevant respondents was done.  The questionnaires were collected from 576 female consumers who are all using cosmetics. The research used Non-Probability sampling method and adopted Judgement sampling technique for the research. The instruments of this study involved two parts: the first section of the instrument consisted of forced-choice questions about demographic characteristics: nationality, marital status, age, occupation, monthly income level and nature of residency in UAE. The second section of the study consisted of variables chosen in order to measure the factors influencing consumer buying behavior in cosmetics products. The Statistical Package for the Social Science (SPSS) was used to complete the analysis of the collected data. Descriptive statistics, including means, standard deviations and percentage analysis were implemented in order to investigate the demographic data. One-way analysis of variance (ANOVA) was used to determine whether any significant relationships exist among respondents. The study used Principal Component Analysis (PCA) as an extraction method for Exploratory Factor Analysis (EFA) followed by Confirmatory Factor Analysis (CFA) on explored and established factors. KMO test for Sampling Adequacy and appropriateness of Factor Analysis, Bartlett’s test of sphericity, Reliability analysis using Cronbach alpha and Pearson Correlation were used for data analysis. In addition, the .05 level of statistical significance was set at all statistical tests in the present study.

Findings: The findings suggest that the Cultural factors followed by Personal and Social factors were significant for women in UAE while they make their purchase choices. Psychological factors were found to be moderately affecting the behavior of the consumers.

Research Limitations and Implications: The field is ever evolving due to the changes in the global social and economic environment. Much research still needs to be carried out in new products and new markets.

Originality Value: The paper covers the various factors of complex buying behavior for women consumers in UAE. The field is lesser explored and throws many new insights on the UAE market and consumers.


Date: 19/05/2021

Presenter: Mr Mirza Baig

School of Mathematics & Data Science, Emirates Aviation University

Title: A comparison of Content and Image Based Recommender Systems: Machine Learning Approaches

Abstracts

Recommender systems are widely popular in many situations, like web-based systems catering to ecommerce, movies and books. For this purpose, a lot of approaches and algorithms have been proposed to serve the user or consumer with best possible recommendations. In this regard, content-based recommendation is one of the commonly used approaches; however, these days a new trend has been set by giving recommendations through images. This gave rise to a new recommendation approach, commonly called “Image Based Recommenders”. In this talk, my approach entails a comparative study of content based and image based recommender systems in the context of clothing recommendations for the user. The expected outcome of this study would be the answer to the question on how relevant are the results-to the user- that are produced by different algorithms from both approaches and whether there is any correlation between them? The findings from this study are key in identifying the most suitable algorithm or approach that best fits the domain of clothing business based on the relevancy of results for the user.

Keywords: Content Based Recommenders; Image Based Recommenders; Clothing Business; Comparative Study; Deep Learning; Data Science.

Tools Used: Python, MATLAB, relevant Deep Learning libraries, and Transfer Learning concepts.


Date: 22/09/2021

Presenter: Dr Diego Cuadros

Department of Geography and GIS, University of Cincinnati

Title: Spatial epidemiology of COVID-19 in the US

Abstracts

In this presentation, Dr. Cuadros will provide an overview of the current state of the epidemiology and health policy related to the COVID-19 pandemic in the U.S. with a focus on Ohio, an early public health leader in the U.S. He will also describe the creation of predictive models and linking these models to available healthcare resources using advanced geospatial mapping techniques and large datasets.