HOME CALL FOR POSTERS ORGANIZING COMMITTEE AGENDA ACCEPTED POSTERS AWARDS PICTURES & SUMMARY
GUC-TAC 2022
ACCEPTED Poster Participants
GUC-TAC 2022
The accepted thesis posters in the GUC-TAC 2022: COP27 and Sustainability Development are as follows:
Click on the Poster ID to download the poster!
11TH & 12TH OF JUNE 2022
Poster ID Specialization Poster Student Poster Title Poster Abstract
BINF01 Business Informatics Yasmeen Taha Applying process mining to analyze business process management performance in the RPA environment This paper will be looking into Business Process Management (BPM), Process mining and Robotic Process Automation (RPA) in 3 separate different chapters. There will be a chapter going over the relations between RPA, BPM and Process mining followed by a chapter explaining each research methodology to be used. Each of the research methodologies explained will be implemented through the solution approach chapter. Lastly, a conclusion, summing up all the thoughts established through the research done in this paper, will be presented followed by a chapter listing all the references used in the research.
BINF02 Business Informatics yehia khaled yehia elokaby mental health application duringg covid-19 This research aims to find a solution for the deteriorating mental health of people during the pandemic that was a major reason for the increase of depression, anxiety and insomnia as mentioned by researchers. The goal of the implemented application is to measure the mental health level of people and providing them with tips to survive the pandemic.
BINF03 Business Informatics Youssef Wael Shanan Early Diagnosis of COVID-19 From Routine Laboratory Tests (Machine Learning Model) The poster contains an introduction that shows the objective of the study, an important literature review section, the methodology used, the dataset used in the study, the produced results, the conclusion, and finally the references.
MGMT01 Management Technology Aya Ahmed Ashraf Taha Ahmed Ashour Environmental Accounting and Firm Performance: Empirical Evidence. Mankind misuse natural resources that is gifted to us by God and handed over by previous generations, human activities associated with industrialization generates wastes that harm air, water, and land leading to a deterioration of the health of our planet and many environmental issues such as resource depletion, global warming, and others. These environmental problems reached a serious level as it also affects the health and life of the present generation and results in spreading of many diseases and it will affect future generations as well. Therefore, humans started to realize the importance of a clean and healthy environment, trying to protect it and reduce such issues. As the protection of the environment has become a matter of great concern and an international issue, organizations and managers ask for environmental-related information such as costs and revenues that's why Environmental Accounting (EA) was created.
MGMT02 Management Technology Dina Gabr Green Finance Insights: Evolution of the Green Bonds Market With growing worldwide concern for global warming, green finance became the fuel that pushes the world to act in combating and mitigating climate change. Coupled with adopting the Paris Agreement and the UN SDGs, Green finance became a vital tool in creating a pathway to sustainable development, as it connects the financial world with environmental and societal benefits. With increasing attention on the concept of green finance, multiple forms of green financial tools have come to fruition, the most prominent are green bonds. This study compiles a comprehensive green bond dataset, presenting a statistical study of the evolution of the green bonds market from 2006 until 2021.
MGMT03 Management Technology Farah Shaheen Investigating the Socioeconomic Determinants of Addiction Using Misery Index and Welfare Approach Addiction has been found to be a serious global public health issues. A form of addiction is substance use disorders. Deaths by substance use disorders have caused 35.1 million deaths in 2019 alone, as per the Global Burden of Disease Study (2019). The aim of this paper is to provide an in-depth analysis of the impact of the macroeconomic conditions, which are represented by the misery index and welfare, which is represented by the Human Development Index, with accommodation for corruption and income inequality as control variables on addiction.
MGMT04 Management Technology Hend Adham Yousef Open vs Closed economy: An Empirical analysis of the Unemployment and Economic growth Relationship This thesis aims to introduce the moderating variable openness to trade by validating Okun's law in countries with open economies as well as in others with closed economies. leading to the research question: “Is the relationship between unemployment and economic growth moderated by the level of trade openness?”. Regression is performed for the countries Vietnam, the Netherlands, Brazil and Nigeria twice, restricted and unrestricted to make the model more robust. Results indicate that the Okun coefficient is negative and is statistically significant as well as that the coefficient in open economies is larger than that of closed economies. However, one thing remains true and that is the need to introduce moderating variables in order to better understand the relationship between unemployment and economic growth.
MGMT05 Management Technology Hussein Mohamed Mohamed Gouda Mohamed Wahdan Examining the Environmental Kuznets Curve: The Economy's Toll on the Environment Ever since the Roman Empire's heyday, we have failed to address the difficult and costly to mend damage our activities cause to the planet through negative externalities. As economies and populations grow we put the planet at grave risk. However, according to the EKC, this damage continues until economies reach a threshold, where they can start offsetting the damage they've done. This study aims to test the validity of the EKC hypothesis in the USA and China between 1960 and 2020. The results validate the EKC hypothesis in the USA and fail to prove its existence in China.
MGMT06 Management Technology Mariam Abobasha The online shopping experience using senses through AI Artificial intelligence (AI) has revolutionized all industries and made the business world more competitive and brutal. Wherein consumers demands grow more and more, with their increasing use of online shopping they look towards a more enhanced experience online. Especially with the Metaverse in the works hence this study is made to explore sensory enabling technology specifically Augmented Reality (AR) to provide consumers with a more immersive online shopping experience. This was scarcely explored, revealed after reviewing previous literature. This paper proposes a new well-rounded model to test the acceptance of consumers toward multi-sensory AR. The main of this study is to identify the effect of SETs specifically AR on consumers online shopping experience in emerging markets.
MGMT07 Management Technology Mariam Mohamed Mustafa Mustafa Hassan Elghisha Green finance: Listing on ESG-EGX index and firm performance this poster is made for my thesis in finance that is titled Green finance: listing on ESG-EGX index and firm performance. which is an important topic that should be addressed especially within the current environmental crises that the world witnesses nowadays which necessitate the role of financial institutions to direct their investments more towards sustainable finance investments that take into account the environmental protection
MGMT08 Postgrad Miral Sherin Hassan Demand-side Determinants: The Ecology of Financial Inclusion This research is highly motivated to offer understanding to the financial inclusion from the demand side perspective. A proper implementation of financial inclusion is first done by the government, but it must also be implemented by its citizens (Ayadi et. al, 2018). The reasons behind the lack of demand are important to investigate through the user perception (Claessens, 2006). Hence, the objective of this paper is to understand the pattern of the usage of financial services and evaluate how far financial literacy will lead to financial inclusion, as it will help provide answers and suggestions to policy makers. Additionally, the aim of this research is to shed light on the degree to which people trust financial institutions as well as considering different socio-economic variables.
MGMT09 Management Technology Noha Attia Board Diversity and Sustainable Performance: Evidence from Europe The purpose of this study is to analyze the relationship between board diversity and sustainable performance. Board diversity is studied in terms of board size, board independence, age, education, gender and nationality diversity. However, sustainable performance is measured through ESG score, environmental, social and governance pillar scores. The sample consists of 49 top listed companies in the Germany stock exchange for the period 2012 – 2020 resulting in 416 firm year observations. A positive significant relationship was found between female board members and sustainable performance. Moreover, age diversity of NEDs and education diversity have a positive effect on the sustainability scores.
MGMT10 Management Technology Rawan Hamdy The Lesser of Two Evils: A Comparison Between the Effects of Economic Development and Corruption on Suicide Rates Suicide has become a cause of concern due to its frequency as a cause of death in highly developed economies. Several studies were conducted on the relationship between economic development and suicide, but very few were done on the effect of corruption. This paper aimed to examine which relationship is stronger in terms of correlation. Using panel data from Japan, Norway, and the USA for years 2000-2019, the relationships were tested through OLS regression analyses and the R-squared was used as the tool for comparison. The findings showed that both variables had a significant relationship with suicide, but economic development had a stronger relationship.
MGMT11 Postgrad Salma Sakr Sustainable Development Goals: Decoupling economic activities and environmental degradation in Egypt and Germany The relationship between environmental degradation and economic activities has been studied frequently, especially the Environmental Kuznets Curve hypothesis, however, recent studies provide inconsistent results. The relation between per capita CO2 emissions, real GDP, real GDP2, energy use was studied over the period of 1971 to 2019 for Egypt and Germany. The study used an ARDL model showing that for Egypt, CO2 has a significant negative relation with GDP and a significant positive relation with GDP2 indicating that evidence for the EKC hypothesis is not supported in Egypt. For Germany, CO2 has a significant positive relation with GDP and a significant negative relation with GDP2 indicating the existence of the EKC hypothesis and having an inverted U-shaped curve.
MGMT12 Management Technology Yasmine Hossam Khairy Abouelhossein Gender Inequality: Women's Access and Perception of Decent Work Awareness of gender equality at work has grown in all regions lately, this was made possible by the efforts of the ILO. The “Decent Work” initiative was introduced by the ILO in 1999 aiming to create opportunities for men and women to have access to productive and decent work that promotes dignity, security, equity, and freedom. Yet, gender inequality is widely prevailing in the labor market. Studies highlights that one of the main sources of relative female poverty is that women have limited access to decent work. This paper aims to explore women's access and perception of decent work.
MGMT13 Management Technology Malak Eissa Subsidy reform Impact on Economic growth, Inequality and Poverty Subsidy is expressed as any policy that keeps consumer prices below market level or keeps producer prices above market level, or that reduces costs for consumers and producers by providing direct or indirect support, and Subsidies have numerous effects on economic growth, poverty & Inequality and it's a very important topic to tackle as without subsidy production and consumption will not be encouraged and the welfare of the society will not be boosted.
MGMT14 Management Technology Mayar Amr Naser Elnazzer Socioeconomic impact of transfers: Subsidy vs Cash? Economic development is the production of wealth for the benefit of the community. It is more than simply a job program; it is an investment in the growth of your economy as well as the prosperity and quality of life of all residents. Economic progress means different things to different people. Growth in the economy, when done correctly, helps a community maintain and expand employment and investment. A subsidy often known as a government incentive, is a type of financial help or support provided to an economic sector with the goal of improving economic and social policies. Although most usually associated with government assistance, the phrase subsidy can refer to any sort of assistance. . Subsidies can only maximize their benefits if they are clear, well-targeted, and well planned for successful execution with no leakages or the government may provide Cash transfer programming (CTP) encompasses any programs in which cash is given directly to beneficiaries. It is a strategy that relies on connections, capacities, incentives, and relationships to promote successful market recovery.
MGMT15 Management Technology Rana Sherif Mohamed Ammar Behavioural Intention of Using Artificial Intelligence in Accounting and Auditing The main objective of this thesis is to understand the extent to which the behavioural aspects derived from the technology acceptance model can affect the adoption of artificial intelligence in accounting and auditing practices. Thus, it is very prominent to initially comprehend the role of artificial intelligence in accounting and auditing practices and how accountants and accounting firms utilize artificial intelligence-based software systems in performing their tasks.
MGMT16 Management Technology Mariam Mohamed Abdelaziz Helmy Ismail "Sustainability accounting methods and firm performance" In this thesis the main focus is on the enviromental pill. 4 methods to calculate the enviromental costs in this dimension are the method of cost avoidance, the restoration method, the contingent valuation method and the cost damage method. Aim of this thesis is to discover which of the previous methods is considered the best to reflect the enviromental costs in the financial statements.
MGMT17 Management Technology Sohail Khaled The effect of Financial Sector Development on Knowledge Economy Countries are now relying on becoming a knowledge based economy as a way to increase their economic growth and prosperity. The main focus of this thesis is Knowledge Economy. There are three ways that could utilized to measure knowledge economy which are using principal component analysis, using the assessment methodology constructed by the World Bank. that aim of the thesis is to examine the effect of financal sector development on knowledge economy in the middle eastern
POST01 Postgrad Mariam Osama Zaky An Intelligent Transportation System for Air and Noise Pollution Management in Cities Air quality and noise levels have become major environmental concerns worldwide. Traffic is the primary source of air pollution in urban cities and also a considerable source of noise pollution. Undeniably, air and noise pollution are hazardous to human health. Managing pollution levels became a priority in order to reduce the anthropogenic impact on the environment. We propose an ITS for monitoring and managing traffic air and noise pollution. Our system divides the city into segments with different pollution thresholds, dynamically routes a vehicle using its emissions and noise indicators as well as a city's pollution levels and thresholds.
POST02 Postgrad Mohamed Safar AR Mobile Application Nowadays, a fundamental difficulty encountered in a wide range of computer graphics applications is the segmentation of arbitrary 3D objects into structurally meaningful constituent sections. Firstly, We introduce SEG-MAT, an efficient approach based on the input shape's medial axis transform (MAT). Specifically, we can create a simple and principled way to successfully detect the many sorts of junctions between distinct elements of a 3D structure using the rich geometrical and structural information stored in the MAT. Second, we examines the area of Augmented Reality, in which 3-D virtual elements are blended in real time into a 3-D actual world.
POST03 Postgrad Nadine Omar Youssef Ismail Clay as a sustainable future material Clay is a unique material that has been shaped into various forms starting from the ancient era till the present era. The Cultural component in the clay handicrafts is an indispensable factor and plays a huge role in the shaping process of clay. Currently, there is no solid framework to link design and culture in the making process of clay artifacts by which we could be able to readapt with the contemporary users needs. The aim of this research is to create a design platform that links the designers and the craftsmen taking part in the revival of clay. The research is using qualitative methods including observations and field trials. In addition, a competitive analysis and a SWOT analysis are carried out to explore consumer preferences nowadays. The results section of this research presents a design platform that establishes a link between the designers and craftsmen that would foster a sustained innovative process and could help in facing the problem of clay's extinction products.
POST04 Postgrad Noha Ghazy Entrepreneurship and Unemployment: The Social inclusion of Females & Youth The paper investigates the relationship between entrepreneurship, measured by the Global Entrepreneurship Monitor (GEM) measures, namely: total entrepreneurial activity (TEA) and high job creation TEA (HGTEA) and the disaggregated unemployment rates for the four sub-categories in the economy, namely: males, females, youth males and youth females. The relationship was examined using dynamic panel data model (DPD) with generalized method of moments (GMM) estimators, for the available data for the period 2010-2019. This study was conducted using unbalanced panel data for 19 advanced economies versus 21 emerging and developing economies.
SCAE01 Science, Arts, Engineering sohaila tarek/ yasmeen aladdin Sustainability from Form to Material The outcome of this process showed out results that validated green concrete composites, as for the green concrete with marble waste, the outcome is environmentally sustainable, power efficient, benefiting the Egyptian culture and cost efficient. The main objective of this project is to balance out the implementation of green materials in user centric seating units to minimize the negative effect of normal materials on mother nature. For the material understanding, desk research, testing and production took place to validate that different green concrete composite can replace standard concrete composites. The use of green concrete and palm wood stood out to be the main characteristic of this design project. Design is serving mother nature with products that maintain the health of the environment by the implementation of green materials.
SCAE02 Science, Arts, Engineering Aya Osama Mohamed Elsayed Hassan Material and Energy Flow Modelling and Analysis in SMEs It is not possible to totally eliminate waste in production; however, it can be minimized by taking a closer look at all the particularities and details of the processes following a systematic and coordinated approach with the help of software tools such as Umberto. This will be an attempt to achieve the goal of minimizing wastes and improving production material flow efficiency by combining simulation using UMBERTO with MFA and LCA
SCAE03 Science, Arts, Engineering Bishoy Essam Gerges Design of an intelligent, vision-based guidance approach for industrial robots using Model Predictive Control Bringing humans and robots in close cooperation together in the same environment without barriers raises concerns about how safe it is and how to achieve it. This thesis is focused into enabling a full responsive collaboration between a cobot and human worker in a certain task through optimal motion planning. This approach allows not only ensuring the safety of the worker but it takes into consideration environmental and system constrains as well. This was achieved by designing a Model Predictive Control (MPC) that optimally controls the path of the robot that meet the safety, system and environmental constraints in real time. Safety constraints includes the allowable distance between the worker's hand and the robot. System constraints can include maximum control effort that the robot motors can achieve. Obstacles or barriers that the robot may collide with during motion can be considered as environmental constraints.
SCAE04 Science, Arts, Engineering Rana Elsayed Aly Penetration of tissues using micro robots Microrobots hold potential in diverse biomedical applications owing to their relatively small size and manoeuvrability. These unique features allow them to move inside the human body to achieve tasks that cannot be attained through common remedial interventions. A potential minimally invasive biomedical application of microrobots is that they can target infected sites such as tumors and drill through them in a timely manner.
SCAE05 Science, Arts, Engineering Amr Ibrahim Sayed Gouda Acoustic Red Palm Weevil Detection A highly invasive pest, the red palm weevil (RPW), is posing a severe threat to date palm cultivation. The Larvae penetrates the palm trunks creating cavities and tunnels that weaken the tree structure. The Larvae can remain undetected until they cause severe damage. For early detection we propose an acoustic device to record the sound from the field and compare it with a previously recorded larvae sound under lab conditions to determine if there is an infestation.
SCAE06 Science, Arts, Engineering Khalid Abdullah 3D Printing Of Renewable Materials 3d printing became a fast pace growing industry as it prints small, tiny yet accurate models in all dimensions. However, still it is using plastic filament, in this research more biodegradable material is being used to make models which came from agricultural waste.
SCAE15 Science, Arts, Engineering Jana ElRaggal Play Bricks III: Integrating Architectural Style with Desktop Play Bricks App Any nations culture plays a major role in deriving its identity and uniqueness and this is why culture preservation is of extreme importance. Since the Islamic culture's architecture is very underrepresented in the game market, Play Bricks was designed as a serious game that is envisioned to aid in the Islamic architecture education. The application can be used as an educational tool in schools and universities in order to aid students in learning about the Islamic culture through its architecture. This is why Play Bricks is created for desktop use as these platforms are more accessible and cheaper than other platform. Play Bricks is designed using Unity and coded using C-sharp. During the game, users can use basic LEGO-like building bricks that are influenced by the Islamic architecture in order to create or manipulate their own buildings and designs. The user interface is created to be as simple and as intuitive as possible.
SCAE17 Science, Arts, Engineering Lougina Hatem Yahia Abdelwahab Backar In-Vehicle Monitoring for Passengers Safety Driving drowsiness detection through videos/images is one of the most important issues for driver safety in today's world. Because of the great advancement in technology in the last several decades, deep learning techniques applied to computer vision applications such as sleep detection have shown promising results. Drowsiness is characterised by closed eyes, yawning, and microsleeps. Moreover, one of the biggest tragedies in the news lately, is toddlers or pets dying in hot cars. In this work, a realtime deep learning algorithm is designed to monitor driver drowsiness, driver distraction, forgetting children and pets alerts system and seat belt adjustment monitoring system. Results showed that our proposed system had 95% drowsiness detection, 90% distraction detection, 87.5% children and pets monitoring and 70% seat belt adjustment monitoring.
SCAE23 Science, Arts, Engineering Roushan Sherief Mohammed El-Wassif Abdelmaksoud Efficiency and Privacy in Deep Meta-Learning One of the most common neurological diseases are brain tumors. Radiologists can make a more accurate prognosis and increase the odds of long-term survival when a brain tumor is discovered early. Deep Learning (DL) has one major drawback: it requires a lot of labelled data. Medical databases, however, are frequently modest. Medical data is very private, thus regulatory processes are essential. On Brain Tumor MRI scans and a CNN model, we tested 5 different federated learning personalization and optimization algorithms based on vanilla FedAvg. Initially, we were able to achieve a test accuracy of 70%.
SCAE26 Science, Arts, Engineering Seifallah AlaaEldin Elsayed Ali Salem Arafaa Indoor 3D sCene Reconstruction using structure from motion for Mobile Robots Indoor 3D reconstruction is an emerging problem in the market due to the many fields its applicable to for example: video games, virtual reality, robotics, and autonomous driving. Constructing a full 3D model from a complex dynamic scene data has many applications in motion capture, augmented reality, interior design and other architectural developments. Moreover, it aims to provide solutions to solve realistic interaction problems such as building Interior 3D models for architecture applications. There are many challenges to reconstructing 3D models from Mobile videos, such as predict accurate depth from a sequence of 2D RGB frames. To achieve that it needs to consider the camera position, the camera quality, the movement of camera holder, the motion of dynamic objects during navigation and the processing speed of the video frames.
SCAE29 Science, Arts, Engineering Yomna Alayary Face masked and unmasked humans detection and tracking in video surveillance I propose improving current face-detection and tracking techniques, considering limited visible facial features from mask-wearing, by creating a deep CNN model for masked face-detection and using tracking-by-detection for long-term multi-face tracking. The output video should contain a bounding-box tracking each person with their own id and a bounding-box around the followed person's face indicating whether they are wearing a mask correctly, incorrectly, or not at all, with its probability. The face detection model's accuracy is 43.06% and loss is 17.7%. The object tracking model uses pre-trained YOLOv4 weights, achieving state-of-the-art results (43.5\% AP) for real-time object detection.
SCAE12 Science, Arts, Engineering Dinah Waref Shalaby Efficiency and Privacy in Deep Learning Using Split Federated Learning The benefits Machine Learning has provided for us are incredible, the power of personalization, the prediction and analysis and the enhanced metrics are all examples of that. For better performance and accuracies, more data is needed. This data might include sensitive data as one's face and expression and collecting such data is a huge privacy risk. Recognizing emotions is crucial for health social communication, It also provides better understanding to the changing behaviors of customers and better metrics of how they like a product. Which is why Emotion recognition is an incredible market currently facing significant gaps due to the lack of data. Using a hybrid Split Federated Learning model that overcomes the resource constraints of Federated Learning and reduces the computational time of Split Learning, We can decentralize the training process and keep the sensitive data safe. Our aim is to create an Emotion Classifier using Split Federated learning.
SCAE14 Science, Arts, Engineering Honey Mohamed Ali Abdel Kader PlayBricks in Virtual Reality Technology: An enhanced architectural design for cultural preservation In a world continuously digitalized, concrete heritage documents could be lost. This leads to a large number of people being uninformed about their culture. This project aims at preserving Islamic architecture through its incorporation into modern-day architecture by developing a VR application meant to be used by architects to enhance and facilitate the design process. PlayBricks is implemented on Oculus platform using Unity. Playbricks offers a variety of bricks inspired by Islamic architecture used to design replicas of existing buildings. A survey was conducted to test its features and assess its efficacy in preserving culture and as an architectural tool.