Resilience By Design: A Multi-Metric Assessment Of Urban Vulnerability Across Human-Centric, Built, And Climatic Environment Dimensions, Karim Abdelhady

Theses and Dissertations

Urban resilience and sustainability have emerged as fundamental imperatives in contemporary urban planning, as cities face mounting pressures from climate change, population growth, and increasing socio-economic disparities. Resilient urban systems are not only those that withstand shocks, but also those that ensure the long-term well-being, equity, and functionality of their environments. As such, advancing the capacity to systematically evaluate resilience across spatial and temporal scales is critical to informing adaptive, forward-looking planning strategies. Despite a growing body of research on urban resilience, prevailing approaches remain limited in scope and resolution. Many studies tend to examine resilience through isolated lenses—focusing either …

Irrigation Efficiency In Green Wall Systems Utilizing Iot: Developing And Testing A Method To Optimize Water Use For Green Walls, Yomna Zaghloul

Theses and Dissertations

This study investigates the application of an Internet of Things (IoT)-based automated irrigation system for green walls in Cairo, Egypt, assessing its impact on water conservation, energy consumption, and plant health across a three-month experimental period. The research compared a sensor-controlled drip irrigation system utilizing the ESP8266 microcontroller and real-time environmental monitoring against conventional timer-based irrigation methods. Water usage data revealed that the IoT system consistently achieved substantial savings—averaging nearly 60% less water consumption than the control group—without compromising overall plant vitality. Energy efficiency was also improved, with automated cycles reducing pump operating time by more than 50%. Plant growth …

A Virtual-Reality-Based Dental Simulator For Endodontics With Automated Formative Feedback, Yousef Salah Abo El Ela

Theses and Dissertations

Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much …

Towards Decarbonizing Concrete Industry In Egypt: Material Alternatives, And Economic Viability, Reem Gamal

Theses and Dissertations

The construction industry remains one of the largest contributors to global greenhouse gas emissions, with cement and steel production accounting for approximately 15% of total emissions. As global infrastructure demands continue to rise, there is an increasing need for practical tools that support low-carbon construction practices in line with international climate commitments. This research presents the development and testing of a mathematical, adaptable decision support system designed to assess both the environmental and financial impacts of material selection in concrete production. Focusing on life cycle stages A1 to A3, raw material extraction, transportation, and manufacturing, the decision support system enables …

A Computational Study Of The Chemomechanics Of Paracetamol Polymorphs: Towards Improving Drug Tabletability, Karim Nader Samra

Theses and Dissertations

The mechanical properties of pharmaceutical crystals are of great importance in tablet manufacturing. Also, knowing the mechanical properties of different polymorphs of the same crystal can reduce the overall production cost. In this study, computational work was done via performing density functional theory calculations on 3 paracetamol crystal polymorphs Form I, II, and III. Understanding the chemical bonding helps in predicting the key elastic properties for different crystallographic directions. In Form II, lattice vector C is dominated with the intermolecular hydrogen bond OH…O giving it the stiffest Young Modulus and the least Poisson’s ratio. Then comes the A-Axis which contains …

Ai-Driven Stratified Modeling For Early Liver Disease Detection: A Comparative Study Of Ensemble And Conventional Machine Learning Classifiers, Ghadeer Murtadha Ali, Ali Aqeel Hadi, Mustafa Abdulkareem Abbas, Abdullah Alkarar Mohammad, Ahmed Fadhil Abdulhussein

AUIQ Technical Engineering Science

Background: Early prediction of liver disease remains challenging in routine clinical diagnostics due to the multifactorial nature of hepatic dysfunction and the limited discriminative capacity of conventional laboratory-only assessments.

Objective: This study aims to develop and rigorously evaluate a robust machine learning framework for binary liver disease classification, emphasizing predictive stability, diagnostic balance (sensitivity–specificity), and statistical reproducibility across repeated experiments.

Methodology: A structured dataset of 1,700 records with 11 features representing demographic, behavioral, genetic, and clinical determinants was used to train and compare five supervised models: CatBoost, AdaBoost, Random Forest, Support Vector Machine (SVM), and Decision Tree. Performance was assessed …

Human-Machine Communication: Complete Volume. Volume 12

Human-Machine Communication

This is the complete volume of HMC Volume 12.

Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen

Human-Machine Communication

The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …

A Modular Llm Approach To Argument Extraction In Philosophical Texts, Nate Miller

Masters Theses

Engaging with philosophical works is a rewarding but demanding task that challenges both human readers and computational systems designed to extract arguments from dense philosophical reasoning, and although large language models (LLMs) have made substantial progress in argument extraction, the most advanced models are often costly to run. As a result, there is growing interest in determining if multi-agent pipelines that divide a task into smaller stages can reduce cost while maintaining or improving performance.

This study investigates a modular multi-agent approach for extracting arguments from philosophical texts using LLMs, and compares its performance, cost, and runtime to both single-agent …

The Effect Of The Socioeconomic Variety In Greater Cairo On Transport Mode Choices, Rafik Yanni

Theses and Dissertations

In the last decade, Egypt has experienced a noticeable upgrade in its infrastructure investment, implementing a lot of transport projects, especially in the Greater Cairo region. In a city with over 20 million residents, variations lie in socioeconomic elements like income, age, gender, and neighborhood, which shape people’s choice of mobility modes based on their culture and lifestyle. The questions then become: whom are these new projects targeting? What are the barriers to using these services? And is there any willingness to change commuting habits if conditions changed? This thesis investigates how the socioeconomic variety in Greater Cairo metropolitan region …

Quantification And Mitigation Of Uncertainties In Thermal Conductivity Measurements Using A Modified Astm D5470 Thermal Resistance Tester, Chinmaya Joshi, Clancy Milam, Stephen Pierson, Ying Sun, Jared Berg, Han Hu

Mechanical Engineering Faculty Publications and Presentations

In this paper, we have investigated the effect of thermal interface materials (TIMs) on the accuracy and uncertainty of thermal conductivity measurements. A modified ASTM D5470 thermal resistance tester (TRT) has been developed to measure the out-of-plane thermal conductivity of pyrolytic graphite (PG) and titanium grade 2 (TiG2) with and without TIMs. Compared to the ASTM D5470 standard, this modified design uses three thermocouples per side to support regressive analysis of the temperature profile and quantifies the uncertainty of the measurements with and without TIMs. Nine PG samples and four TiG2 samples of varying thickness have been tested to obtain …

Conserved Chromatin Programs Orchestrate Cardiac Cell States In Health And Disease And Drive Cardiomyocyte Proliferation After Injury, Xiaoxiao Geng

ETDs from 2020-2029

Chromatin structure is a central regulator of gene expression and cellular identity, yet the chromatin structural factors driving cardiac disease and regeneration remain incompletely defined. This dissertation investigates how modulation of chromatin architecture shapes pathological and regenerative cardiac phenotypes through integrated single-cell transcriptomic, epigenomic, and functional analyses. To determine whether chromatin structural regulators distinguish healthy from diseased cardiac states, we curated a comprehensive list of chromatin structural genes and applied it to single-nuclei RNA sequencing datasets from human hearts with and without dilated cardiomyopathy (DCM). Chromatin structural gene expression effectively stratified cardiomyocyte and fibroblast populations by disease status. Diseased cardiomyocytes …

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Roy Kravitz, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

Retrofitting Higher Education Buildings In Egypt: A Pathway Towards A Zero-Energy Campus, Maged G. Nassim Mikhael, Hagar Samy Saad

HBRC Journal

Egypt’s higher education sector expanded rapidly over the last decade, resulting in increased energy consumption, negative environmental impacts, and economic challenges. Existing academic buildings present promising opportunities for energy savings through retrofitting; however, a validated pathway for achieving Zero-Energy Buildings ZEBs in Egypt remains underdeveloped. This study aims to develop a practical scenario and a replicable retrofitting pathway based on a multi-tiered approach that includes passive envelope enhancements, active system optimization, and the integration of renewable energy RE systems. Using the Canadian International College CIC campus as a case study, the research adapted the building energy simulation BES methodology to …

Enhancing Sustainable Cooling Solutions: Investigating Spot Radiant Cooling Systems Performance And Influence On Indoor Comfort In Hot Climates, Norhane Eldeeb, Ahmed Ahmed Fikry, Abbas Mohamed Elzafarany, Ehab El Shazly, Hinar Abo El-Maged

HBRC Journal

In hot climates, demand for effective sustainable cooling strategies to maintain comfort is high. Nevertheless, conventional radiant cooling systems are often hindered by condensation risks and complex control requirements in partially occupied spaces. To address these challenges, at top inlet conditions of approximately 26°C and 50% Relative Humidity) RH (, three-dimensional CFD simulations validated against the 1.405 kW reference case of Shin et al. were performed to quantify the effect of installation height and panel geometry on spot radiant cooling performance. Lowering the flat CRCP from 2.6 m to 2.2 m reduced volume averaged air temperature (T_a) …

Leveraging Blockchain Technology In Mining Supply Chain Management: Vietnam Coal Mining Case Study, Thu Hang Nguyen, Nguyen Trung Tuan, Hong Anh Le

Journal of Sustainable Mining

The global economy heavily relies on the mining industry for essential resources such as coal, oil, gas, and metal ores. However, the intricate nature of mining operations poses significant challenges in supply chain management (SCM). This research investigates how blockchain technology can address these challenges within mining supply chain management (MSCM). Through a systematic review of existing research and projects, a conceptual blockchain model is proposed to improve mining supply chains’ transparency, traceability, efficiency, and sustainability, specifically focusing on coal supply chain management in Vietnam. The model integrates distributed ledgers, smart contracts, IoT devices, identity management, and consensus mechanisms to …

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Julio Villalba-Moreno, Alexander Grinshpun, Freddy Gabbay, Luke Seed, Rui Duarte, Manuel Lopez, Oscar Alonso, Robert Owen

Electrical & Computer Engineering Faculty Research

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multiple united-atom (UA) potential models have been developed in the literature to reproduce experimental saturated properties of n-alkanes using Monte Carlo simulations. When these UA potentials are employed in molecular dynamics (MD) simulations, MD simulations often give relatively poor predictions of saturated properties of n-alkanes, particularly the saturated vapor densities, due to the challenges in accurate calculation of long-range intermolecular forces beyond the cutoff distance in an inhomogeneous system. In this work, a new set of UA Lennard-Jones (LJ) interaction parameters for n-alkanes is proposed to reproduce the saturated properties, including saturated liquid and vapor densities (ρ_f and ρ …

A Closer Look At Shielding Gas In Laser Powder Bed Fusion: A Review, Tasrif Ul Anwar, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

The ongoing advancement of additive manufacturing (AM) techniques, particularly in laser powder bed fusion (LPBF), is effectively bridging the knowledge gap between AM and conventional manufacturing methods. At present, most of the research is focused on optimizing key process parameters such as laser power, laser speed, hatch spacing, layer thickness, scan pattern, powder size distribution, and so on. These studies help improve the part density and refine the microstructure of LPBF components, thereby enhancing the mechanical properties. Despite these advancements, an area in LPBF that is receiving comparatively less attention is the shielding gas: its flow during the printing process, …

Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li

Materials Science and Engineering Faculty Research & Creative Works

Twenty-year uninterrupted endeavor of titanium alloys printing has opened up a new paradigm in metal additive manufacturing (AM) to fabricate engineering components with required strength–density–corrosion combinations. Despite the remarkable advances in titanium AM, controlling the grain structure to print the parts with engineered microstructures, tailored mechanical properties, and minimum anomalies remains challenging. Numerous approaches have been implemented to address this challenge, such as printing parameter control, post-AM heat treatments, and thermomechanical processing. In addition to the aforementioned conventional approaches, novel techniques have been proposed that require employing hybrid manufacturing or developing the printer itself. One of the novel pathways in …

Development Status And Existing Problems Of Ion-Solvation Membranes For Electrolysis Of Water, Zheng-Yuan Zhou, Yu-Tao Sun, Zheng-Bang Liu, Chuan-Zheng Wang, Yong-Nan Zhou, Xi Luo, Tian-Chi Zhou, Jin-Li Qiao

Journal of Electrochemistry

Ion-solvaing membranes (ISMs) have received extensive attention in recent years as a key component in electrochemical energy conversion and storage devices. This article provides an overview of structural composition, performance advantages, research progress, ion conduction mechanism and existing issues of ISMs, primarily classifying them according to the matrix structure. A detailed analysis of performance enhancement methods, key performance indicators of ISMs and performance influencing factors is also presented. The article contributes to further optimizing the design and application of ion-solvation membranes, providing theoretical support for the development of fields such as hydrogen production through electrolysis of water and electrochemical energy …

Iron-Involved Orr Electrocatalysts Under The Lens Of In-Situ/Operando Mössbauer Spectroscopy, Sumbal Farid, Jun-Hu Wang

Journal of Electrochemistry

Exploring cost-effective and efficient catalysts for oxygen reduction reaction (ORR) poses a significant challenge, especially in the pursuit of alternatives to precious metals like platinum. Significant advancements have driven electrochemists to develop efficient ORR catalysts using abundant materials, particularly iron (Fe)-based, known for their exceptional performance in ORR. While the crucial function of Fe in boosting ORR catalytic activity is recognized, the connection between material attributes and catalytic performance remains enigmatic. Understanding the dynamic processes involved in oxygen electrocatalysis is paramount for designing precious-metals-free ORR electrocatalysts. Mössbauer spectroscopy stands out as a powerful technique for deciphering the structural characteristics of …

The Ntp Anode For Aqueous Sodium Ion Batteries: Recent Advances And Future Perspectives, Ming-Li Wang, Xue-Ying Su, Zheng-Xiang Shan, Shu-Zhe Yang, Heng-Rui Guo, Hao Luo, Dong-Liang Chao

Journal of Electrochemistry

Aqueous sodium-ion batteries (ASIBs) have attracted great attention in aqueous batteries due to their merit of high safety. However, the constrained work potential and insufficient chemical stability of anode materials in aqueous electrolytes hinder the large-scale application of ASIBs. Sodium titanium phosphate, NaTi₂(PO₄)₃ (NTP), is considered one of the most promising anode materials for ASIBs due to its excellent electrochemical performance and tunable structure. Recently, great achievements have been made in the development of NTP, however, a comprehensive review of existing studies is still lacking. This article firstly introduces the basic properties of NTP and …

Carbon Supported Octahedral Ptni Nanoparticles (Oct-Ptni/C) As A Cathode Catalyst For Proton Exchange Membrane Fuel Cells (Pemfcs) With Improved Activity And Durability, Zi-Wei Feng, Hai-Zhong Chen, Xiao Duan, Ling Tang, Yun-Kun Zhao, Long Huang

Journal of Electrochemistry

Proton exchange membrane fuel cells (PEMFCs) are considered as a promising renewable power source. However, the massive commercial application of PEMFCs has been greatly hindered by their high expense and less-satisfied performance mainly due to the sluggish oxygen reduction reaction (ORR) kinetics even on state-of-the-art Pt catalyst. Octahedral PtNi nanoparticles (oct-PtNi NPs) with excellent ORR activity in a half-cell have been widely studied, while their performance in membrane electrode assembly (MEA) has much less reported. Herein, we investigated the MEA performance using the carbon supported oct-PtNi NPs (oct-PtNi/C) as the cathode catalyst. Under the mild acid washing condition, the surface …

Performance, Economic And Environmental Evaluation Of A Solar-Assisted Vacuum Deaeration Heating System., Liew Shan Kun

Student Works (2020-2029)

This research evaluates the performance of a solar-assisted heating (SAH) system for makeup water in a vacuum deaeration process. The system integrates solar energy into the heating process, with parametric analysis conducted across varying configuration of total solar radiation and water flow rates. The total solar radiation at the experimental site in Kuala Kangsar, Perak, Malaysia, characterized by tropical weather, fell within the range between 414W/m2 to 568W/m2. Performance analysis showed that a flow rate of 0.4 LPM achieved the target temperature of 61°C required for the deaeration process. Thermal efficiency peaked at 62.60% under a solar radiation of 900 …

Understanding Mobility Limitations And Public Transportation Accessibility For People With Disabilities, Jada Meria Stringer

ETDs from 2020-2029

Mobility for people with disabilities (PWDs) depends on both the availability of transportation and public services and the accessibility of these systems. The presence of public transportation systems does not ensure usability. Vehicles, infrastructure, and the built environment must be designed to accommodate diverse physical, sensory, cognitive, and other needs. PWDs must also be able to navigate public buildings and surrounding spaces safely and comfortably. This thesis examines mobility limitations for PWDs in India and the United States, focusing on accessibility along the full mobility chain. A review of existing literature provides context on accessibility policies, design standards, and the …

Biomineralization Of Low Temperature Plasma(Ltp) Modified Polymeric Biomaterials And Scaffolds, John Patrick Bradford

ETDs from 2020-2029

Bio-integration, specifically osseo-integration of bone implants and scaffolds, are vital for the success of implants and bone tissue engineering (BTE). Calcification can be defined as the deposition of calcium compounds as either calcium phosphate(CaP) minerals consisting of hydroxyapatite(HAP) or CaP salts. The significance of the variety of phases of CaP is that mature bone matrix is composed of 65% CaP mineral. Many investigators have attempted to model the natural matrix by producing materials containing calcium phosphate in both amorphous CaP or in the more crystalline HAP form, with biomaterials (both synthetic and biological). Biomimetic CaP formation is a sign of …

A Point-Cloud Data Analysis Framework For Early Deformation Detection, Avinash Pandey

Theses and Dissertations

Frost heave and thaw-related deformation threaten the performance of roads, runways, embankments, and buried utilities in cold regions, yet traditional inspections remain reactive and often miss early uplift. This study evaluates the capability of LiDAR (Light Detection and Ranging) to detect small-scale ground deformation and introduces a practical point-cloud framework designed for early-stage characterization. Controlled jack-lift experiments quantified handheld LiDAR accuracy at uplift increments of 6.35, 12.7, 19.05, and 25.4 mm, with corresponding detection accuracies of 88%, 86%, 93.33%, and 94%. Registration quality had a significant impact. The targetless scans showed slight misalignment, whereas spherical targets provided precise, repeatable outputs. …

Iterative Data Augmentation For Enhancing Deep Learning Performance With Limited Training Data, Avinash Singh

ETDs from 2020-2029

Deep learning models have demonstrated impressive performance across different domains; however, their effectiveness heavily depends on large, well annotated datasets. In practice, data are often limited in size, leading to overfitting, poor generalization, and degraded model robustness and performance. Moreover, conventional augmentation techniques are typically static in nature, lack adaptability during training, and can produce geometrically inconsistent or unrealistic mixed images. This dissertation addresses three major challenges in data augmentation and model generalization: (1) the scarcity of labeled data and limited dataset size, (2) the absence of adaptive mechanisms for dynamically adjusting learning parameters during training, and (3) the creation …

Amino Acid Pet Tracers For Cancer Imaging And Response Assessment, Ugur Akca

ETDs from 2020-2029

Triple-negative breast cancer (TNBC) and high-grade glioma (HGG) pose significant diagnostic and therapeutic challenges due to their aggressive biology and the limitations of [¹⁸F]FDG PET, which suffers from nonspecific uptake in inflammatory tissues, complicating differentiation of viable tumor from treatment-related effects. Computed Tomography, while strong for structural changes, has limited soft tissue contrast for distinguishing tumor from inflammation, and Magnetic Resonance Imaging, despite superior soft tissue resolution, struggles with differentiating active tumor from post-treatment changes like edema or necrosis due to nonspecific enhancement. These challenges highlight the necessity for complementary and advanced imaging strategies for improved diagnosis and monitoring. This …