Hybrid Sensing For Near-Earth Space Domain Awareness: Leveraging Space-Based Assets For Augmenting Optical Ground Observations, Smriti Nandan Paul, Hang Woon Lee

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Because of recent advancements in space technologies, easier and more economical access to space, and an increase in commercial interests, the near-Earth space environment has witnessed an exploding number of objects being put into orbit. In particular, the low Earth orbit (LEO) region is at an increased risk of orbital collisions from large satellite constellation projects. Thus, monitoring LEO objects for space domain awareness and space traffic management has become increasingly imperative. In this paper, we use the concept of limited-CDF (cumulative distribution function) surface and mutual information for designing sensor tasking algorithms focusing on regular observation of known catalog …

Machine Learning In Peak Demand Forecasting: Foundations, Trends, And Insights, Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen, Wenlei Bai, Peizhi Shi, Richard Allmendinger, Yuchen Zhang, Jian Liu

Electrical and Computer Engineering Faculty Research & Creative Works

Peak demand forecasting involves predicting the maximum electricity demand within a specific period, which plays a key role in maintaining the efficiency and stability of power systems. The rapid evolution of power systems, driven by advanced metering infrastructure, local energy applications such as electric vehicles, and the increasing adoption of intermittent renewable energy, has introduced greater randomness and reduced predictability in peak demand. Given the pressing need to address more diverse implementation requirements across different contexts, accurate and reliable peak demand forecasting has become increasingly important. To the best of our knowledge, this study is the first to provide a …

Efficiency Evaluation Of Different Methods For Nitrogen Removal In Municipal Wastewater Treatment Plants: An Integrative Review, Cristiane G. Ferrarezzi, Juliana Canto Duarte

The School of Sustainability Engineering and Environmental Engineering (SEE) Graduate Student Publications

Domestic wastewaters present high nitrogen levels due to the urea and ammonia, which are excreted into urine. Municipal wastewater treatment plants (WWTP) normally face some challenges in keeping their treated wastewater at a low total nitrogen concentration, since the majority of their wastewater is domestic. Low nitrogen levels in the treated wastewater are important to avoid increasing eutrophication of the receptor body, which receives the treated wastewater. This work presents an integrative review considering studies related to denitrification in domestic WWTPs published from January 1st, 2018, to April 30th, 2023. This review aims to identify the most effective methods for …

Artificial Intelligence, Society 5.0 And Smart City Adaptation Initiatives For Businesses: An Integrated Approach, Ines A. M. Gila, Fernando A. F. Ferreira, Neuza C. M. Q. F. Ferreira, Florentin Smarandache, Momtaj Khanam, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

The mass migration of human populations to urban areas has resulted in unprecedented challenges for city services. To address and find solutions for these emerging issues, decision-makers must embrace the smart city and Society 5.0 paradigms, which comprehensively tackle various dimensions of the problem and ensure adaptability to evolving citizen needs. Central to the success of these paradigms is technology, particularly artificial intelligence (AI). AI’s transformative capabilities enable the expansion of services, automation of tasks, efficient operationalization and processing vast amounts of data to address urban challenges, aligning with several sustainable development goals (SDGs) such as sustainable cities and communities …

Utilization Of Plastic Waste In The Concrete Industry, Nancy Abdelmoneim Sakr

Theses and Dissertations

Plastic recycling has emerged as a crucial strategy that aligns with environmental, social and economic sustainability indicators. Currently, substantial volumes of plastic waste are either deposited in landfills or incinerated, neglecting the potential to harness its embodied energy and the energy consumed for producing virgin materials. A key advantage of plastic lies in its promising mechanical properties. Concrete mix design is fundamental to a wide range of construction applications, including brick walls, reinforced concrete slabs and concrete pavements. Despite the adoption of recycled plastic in construction materials in various countries, its widespread implementation remains limited. This is primarily due to …

Three-Dimensional Topographical Effects On The Generation Of Internal Lee Waves, Haosen H.A. Xu, Xiaowei Zhu, Kaiwen Zheng

Mechanical and Materials Engineering Faculty Publications and Presentations

Internal lee waves generated by the interaction between geostrophic flows and ocean-floor topography are recognized as an important pathway for transferring energy from large-scale circulation to small-scale mixing in the deep ocean; however, energy fluxes inferred from field observations often fall well below estimates based on classical linear theory. Here, we use direct numerical simulations to examine how three-dimensional (3D) topographic structure alters the generation and energy pathways of internal lee waves. We simulated idealized stratified flows impinging on twodimensional (2D) and 3D sinusoidal topography in a radiating regime. We used Reynolds decomposition based on spatial averaging to isolate wave-induced …

Influence Of Superhydrophobic Surface Microstructure On Transient Jet Impingement Cooling, D. Jacob Butterfield, Brian D. Iverson, Daniel Maynes, Julie Crockett

Faculty Publications

Water jet impingement is an effective method of rapidly cooling a surface, but heat transfer from the surface is highly dependent on the surface condition and properties. Here, the impact of a superhydrophobic (SH) surface on heat transfer to an impinging, axisymmetric, room-temperature water jet with Re=6 x 10³to 18 x 103 is explored. SH surfaces are created by etching thin silicon wafers to form different micropatterns (posts or holes). Surfaces are heated to between 200 and 320°C, and the local surface temperature is measured with a thermal camera. The time resolved heat transfer from the surface and …

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar

All Works

The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered …

A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun

Research Collection College of Integrative Studies

Inspection is widely adopted to improve the maintenance efficiency. Most works predetermine a periodic inspection scheme and focus on optimizing the replacement threshold. However, it is reasonable to inspect less frequently when the degradation level of the system is low and to perform inspections more frequently as the degradation level increases. This work investigates a dynamic inspection and replacement policy for systems subject to regular degradation and periodic shocks. The regular degradation of the system is modeled as a Wiener process. Meanwhile, a periodic arrived shock will incur a random amount increment to the degradation, which is assumed to satisfy …

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

We consider a dynamic pricing problem in network revenue management in which customer behavior is predicted by a choice model, that is, the multinomial logit model. The problem, even in the static setting (i.e., customer demand remains unchanged over time), is highly nonconcave in prices. Existing studies mostly rely on the observation that the objective function is concave in terms of purchasing probabilities, implying that the static pricing problem with linear constraints on purchasing probabilities can be efficiently solved. However, this approach is limited in handling constraints on prices, noting that such constraints could be highly relevant in some real …

Enhancing Solar Energy Harvesting: A Comprehensive Study On Photothermal Conversion In Tin/Mxene-Mof Hybrid Nanofluids, Seyedeh Zahra Haeri, Ali Dashan, Javad Farahbakhsh, Mehdi Khiadani, Bahram Ramezanzadeh, Masoumeh Zargar

Research outputs 2022 to 2026

The growing global energy demand highlights the need for renewable sources like solar energy as a key component of sustainable systems. This study focuses on developing two hybrid nanofluids, TiNML125 and MXML125, for optimizing solar energy harvesting. These nanofluids were synthesized via a solvothermal process, combining NH₂-MIL-125 with plasmonic nanoparticles, titanium nitride (TiN) and MXene (MX). Their thermal conductivity, stability, optical properties, and photothermal efficiency were analyzed. Results showed both nanofluids significantly outperformed single-component ML125, with TiNML125 improving absorption by 40 % and enhancing thermal conductivity. MXML125 demonstrated superior long-term stability, with a 25 % lower zeta potential reduction over …

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

In-Situ Carbon Mineralization Through Injection Of Co2-Saturated Water Into Basalts: Effects On Pore Network, Seyi Philemon Akanji, Lionel Esteban, Ausama Giwelli, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Carbon capture and storage (CCS) offers the potential to remove and safely store significant quantities of carbon dioxide from the atmosphere, thereby limiting global warming. Conventional geological storage involves injecting CO2, in gaseous or supercritical state, into porous rock reservoirs, relying on geological top seals, capillary forces and/or dissolution in groundwater as the primary “locking-in” processes. An alternative method injects CO2-saturated water into mafic rocks (basalts), chemically inducing in-situ mineralization of CO2 to form solid carbonate minerals. This mechanism offers the lowest risk of carbon returning to the atmosphere. This review synthesizes field and laboratory studies on CO2 mineralization in …

Treatment And Valorization Of Spent Caustic Brine: A Critical Review With Emphasis On Membrane Technologies, Rouba D. Al Bostami, Amani Al Othman, Muhammad Tawalbeh, Kerry N. Mcphedran, Mohammad Mahdi A. Shirazi

Research outputs 2022 to 2026

Spent caustic brine (SCB) is a hazardous yet resource-rich industrial waste, primarily composed of sodium hydroxide, water, and contaminants such as sulfides, phenols, organic compounds, heavy metals, and valuable minerals. Originating from industries such as oil and gas, metal finishing, and food processing, SCB poses high pH ('11), high total dissolved solids (up to 58,000 ppm), heavy metal content, and elevated chemical oxygen demand (COD). In this work, treatment and valorization methods for SCB are categorized into three groups: traditional techniques without caustic or water recovery, conventional techniques with limited recovery, and membrane technologies offering effective caustic and water recovery …

Mechanical Properties And Reproducibility Of One-Part Ambient-Cured Slag And Fly Ash-Based Geopolymer Concrete, Daro Sun, Jessey Lee, Alireza Mohyeddin, Janitha Migunthanna

Research outputs 2022 to 2026

The cement industry is a major source of anthropogenic CO2 emissions due to its energy-intensive production process and calcination of limestone. Producing one ton of cement emits approximately one ton of CO2, and cement accounts for about 5% to 8% of global CO2 emissions. In this context, cement-less one-part (“just-add-water”) ambient-cured geopolymer concrete (GPC) has gained attention due to its environmental friendliness and practicality for large-scale cast-in-situ construction. However, field adoption remains limited, mainly due to the scarcity of data on mechanical properties and durability, as well as the lack of widely accepted standards and specifications. This paper is part …

Mining Waste As A Resource In Construction: Applications, Benefits, And Challenges, Chathurika Dassanayake, Nuha S. Mashaan, Daniel Oguntayo

Research outputs 2022 to 2026

Mining activities generate vast quantities of waste each year, including mine tailings, bauxite residue, waste rock, and various metallurgical slags. Although these materials have traditionally been regarded as environmental liabilities, many possess physical and chemical properties that make them promising candidates for use in construction. This review synthesizes recent research on the utilization of major mining waste streams, with particular emphasis on pavement applications and other construction materials. The findings indicate that bauxite residue exhibits both pozzolanic and filler characteristics, demonstrating potential in asphalt mastics, asphalt mixtures, and other construction products. Nonetheless, its widespread adoption is constrained by issues such …

The Impact Of A Structured Training Program On The Depth Perception Of Ab Initio Drone Pilots, John Murray, Steven Richardson, Keith Joiner, Graham Wild

Research outputs 2022 to 2026

Highlights: What are the main findings? First empirical assessment of depth-perception improvement from an official RPAS training program. Demonstrates measurable perceptual-skill gains despite no explicit syllabus objective for depth perception. What are the implications of the main findings? Conducted in authentic operational settings under regulated conditions, ensuring strong external validity. Establishes a validated baseline for future comparative and longitudinal studies on perceptual training effectiveness. Flying remotely requires accurate perception of the environment to ensure safe operation. While remotely piloted aircraft (RPA) bring unique opportunities, they also present new challenges for the pilot, including exercising accurate depth perception. The impact of …

Optimization Of Pressure And Flow Rate For Co2 Microbubble Generation Using Porous Ceramic Membrane: Insights For Co₂ Geological Storage, Malek Jalilian, Tawanda Matamba, David Tang, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

CO2 microbubbles show significant potential in carbon capture and storage (CCS) through enhancing CO2 dissolution and improving the residual trapping mechanism. To take full advantage of microbubbles, maximizing their generation by selecting the optimal operational conditions, including injection pressure and flow rate, is essential. In this study, we examined a wide range of experimental conditions to quantitatively evaluate the potential of a porous ceramic membrane for producing CO2 microbubbles in a chemical-free manner. In particular, the effects of injection pressure (5.0–10.0 MPa) and CO2 flow rate (0.25–5 mL/min) on mean bubble diameter (DMB) and microbubble yield efficiency (YMB) were systematically …

Fiber-Reinforced Foam Concrete Using Quarry Micro Fines And Sugarcane Bagasse Ash: A Box–Behnken Design Optimization And Performance Assessment, Ravindaran Thangavel, Sanjay Kumar Shukla, Mini K. Madhavan

Research outputs 2022 to 2026

Foam concrete is well-appreciated for its thermal and acoustic benefits and is prepared by introducing foam into cement slurry/mortar. The current research examines the feasibility of Quarry Micro Fines (QMF), a waste generated from the quarries during sand manufacturing, as a substitute for fine aggregate in the preparation of foam concrete. During the preparation of concrete, a portion of cement is replaced with sugarcane bagasse ash (SCBA), while polypropylene (PP) fibers are added to improve the shrinkage resistance and tensile strength of the resulting concrete. A three-factor, three-level Box–Behnken Design (BBD) in Response Surface Methodology (RSM) was used to optimize …

Cognivault: Enabling Privacy-Aware Cognitive Distortion Detection In Intelligent Mental Health Applications, Mariam Dawoud

Theses and Dissertations

Mental health applications are increasingly leveraging intelligent systems to sup- port psychological well-being, yet preserving user privacy remains a major concern. This thesis presents CogniVault, a secure ecosystem for cognitive distortion data. The framework includes Cognify, a mobile journaling application that detects cog- nitive distortions in user-written journal entries using a locally deployed machine learning model. Cognitive distortions are maladaptive thought patterns such as catastrophizing or personalization, which the app identifies to provide therapeu- tic insights. To ensure privacy-preserving data analytics, CogniVault includes the design and implementation of a hybrid security architecture, PRISM-HDI, that combines Paillier Homomorphic Encryption (HE), Differential …

Implementation Of Zero Trust Architecture On Local Server Management In Educational Institutions, Joko Purwanto, Safar Dwi Kurniawan

Journal of Strategic and Global Studies

Educational institutions are facing increasingly complex cyber threats, particularly as they continue to rely on on-premises servers with limited cybersecurity resources. Zero Trust Architecture (ZTA) offers a security model that rejects implicit trust and requires strict verification of each access request. This study aims to examine the applicability of ZTA in managing local servers within educational institutions through a qualitative literature review approach. Relevant literature from 2014 to 2025 was analyzed using thematic synthesis to identify recurring concepts, strategies, and gaps. The results show that ZTA, when integrated with Identity and Access Management (IAM), Security Information and Event Management (SIEM), …

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Assessment Of Winter Maintenance Performance Objectives Using Maintenance Decision Support System, Curtis L. Walker, Mark R. Anderson, Aemal Khattak, Thomas Kauzlarich, Abdul Farhan

Nebraska Department of Transportation: Research Reports

It is important for transportation agencies to assess their winter maintenance operations performance to identify areas for improvement and/or resource investment to maintain optimal levels of service, mobility, and safety. This study explores nine winter snowstorms in Nebraska during the 2023-2024 winter season across 20 road segments, 12 of which were along the Interstate-80 corridor. Datasets explored include meteorological information, traffic mobility insights, winter maintenance operations activities, and road conditions before, during, and after the periods of accumulating snowfall. Statistical analyses explored correlations and quantitative relationships among these datasets, while visual dashboards were developed to promote more qualitative considerations of …

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 …

Multifunctional Green Wall Systems For Greywater Treatment And Hygrothermal Regulation In Egypt, Laila Ossama Mohamed Elhusseiny Abdelsalam

Theses and Dissertations

Increasing environmental concerns regarding climate change and the intensifying challenge of water scarcity in Egypt necessitate the development of innovative, sustainable, and resource-efficient strategies for wastewater reuse. In the built environment, greywater constitutes a significant, relatively low-contaminant wastewater stream that, if treated to comply with Egyptian Codes and relevant international standards, can be safely reused for non-potable applications such as irrigation, landscaping, and building services. This research investigates the efficacy of an integrated green wall panel system, installed on building façades, for decentralized greywater treatment under Egypt’s climatic and environmental conditions, while simultaneously enhancing hygrothermal performance to reduce building energy …

Fly Ash Proppant Developed For Hydraulic Fracturing, Raz Rzgar Haydar

Theses and Dissertations

Proppants are critical components in hydraulic fracturing, used to maintain fracture conductivity and enhance reservoir stimulation. In high-pressure and harsh reservoir environments, the use of high-strength proppants is essential to ensure well performance. Conventional proppants, being sand, ceramic, and sintered bauxite can be expensive, and their use often requires costly fracture fluids. This study investigates the possibility of utalizing fly ash geopolymers as a sustainable alternative that is also cost-effective for proppants manufacturing. Fly ash, a by-product from the combustion of coal and other materials, was explored as a base material for proppants, utilizing an alkaline solution as an activator …

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 …

Copper Metal Organic Framework-Based Nanomaterial For Non-Enzymatic Glucose Electrochemical Sensor, Sameha Mohamed Sadek

Theses and Dissertations

This thesis examines the development of non-enzymatic glucose sensors by engineering advanced electrode materials based on metal-organic frameworks (MOFs). Conventional enzymatic glucose sensors, although widely used, suffer from inherent limitations, including poor long-term stability, narrow operating conditions, and sensitivity to environmental factors, due to their reliance on biological enzymes. Non-enzymatic sensors offer a more robust alternative by enabling direct electrochemical oxidation of glucose on engineered electrode surfaces. MOFs represent a highly tunable class of hybrid materials with structural and chemical features that are ideal for sensor applications, including a high surface area, tailored porosity, and excellent thermal and chemical stability. …

Design Of Novel Formwork System And Development Of Numerical Model For Comparison Between Formwork Systems, Ahmed Yehia Abdel Aziz El Sayed

Theses and Dissertations

The formwork industry has witnessed major breakthroughs in the last decades. However, they required huge amount of materials leading to negative environmental impacts. Also, the commercially available systems have big number of accessories and requires the extensive use of units to cover the areas to be poured. There was an attempt to target all these disadvantages by introducing the Funicular Arched Steel Truss (FAST) system. However, this system had its own drawbacks, and this is why the researcher introduced an extendable version named the “Extendable Funicular Arched Steel Truss (EAST) system.”

To reach the final version of the EAST design, …