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Path Planning And Control For Vertical Takeoff And Landing Aircraft, Dean Benjamin Anderson Apr 2026

Path Planning And Control For Vertical Takeoff And Landing Aircraft, Dean Benjamin Anderson

Theses and Dissertations

One of the challenging problems of unmanned aerial vehicles (uav) is controlling vertical takeoff and landing (vtol) aircraft. Vtol aircraft can take off and land without landing strips while retain the efficiency of fixed-wing airplanes for long range flight. Unfortunately, the transition from takeoff and forward flight, and from forward flight to landing, is an extremely difficult control problem. Most current controllers for transition switch between flight regimes based solely on airspeed. The trajectory for such switching transitions is a straight vertical ascension followed by a straight forward startup flight; it does not allow for the development of more complex …


Sbw 3.0: A Blockchain-Enabled Framework For Secure And Efficient Information Management In Web 3.0, Md Arif Hassan, Bui Duc Manh, Cong T. Nguyen, Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Nguyen Van Huynh, Dusit Niyato Apr 2026

Sbw 3.0: A Blockchain-Enabled Framework For Secure And Efficient Information Management In Web 3.0, Md Arif Hassan, Bui Duc Manh, Cong T. Nguyen, Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Nguyen Van Huynh, Dusit Niyato

Staff Scholarship - Australia & Dubai

In this paper, we propose an effective blockchain-enabled information management framework, named Smart Blockchain-based Web 3.0 (SBW 3.0). Our framework aims to handle information within Web 3.0 efficiently, enhance data security and privacy, create new revenue streams, and encourage users to contribute valuable information to websites. To this end, SBW 3.0 employs blockchain technology and smart contracts to manage the decentralized data collection in Web 3.0. Moreover, we introduce a robust consensus mechanism grounded in Delegated Proof-of-Stake (DPoS) to reward user contributions. Furthermore, we develop a non-cooperative game model to examine user behavior in this context and conduct thorough analysis …


Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry Apr 2026

Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry

Cybersecurity Undergraduate Research Showcase

Network Intrusion Detection Systems are tools used to monitor network traffic and alert to suspicious or harmful activity before it can cause harm. Signature-based versions of these systems are a foundation for intrusion detection, operating by finding common patterns and forming malicious signatures. However, three developments in modern network environments have greatly impacted the significance of Network Intrusion Detection Systems. These three developments are the near-complete adoption of end-to-end encryption, the use of sophisticated packet fragmentation techniques, and the processing demands of high-throughput networks. Encryption makes deep packet inspection practically infeasible by transforming inspectable payloads into ciphertext, forcing NIDS to …


Evaluating Ai-Driven Sustainable Neuro-Urbanism Through A Human-Centered Framework: The Case Of Ras Elbar City, Egypt, Esraa Elazab, Ahmed Eltawil Apr 2026

Evaluating Ai-Driven Sustainable Neuro-Urbanism Through A Human-Centered Framework: The Case Of Ras Elbar City, Egypt, Esraa Elazab, Ahmed Eltawil

Mansoura Engineering Journal

This study applies and evaluates a previously developed human-centered framework for AI-driven sustainable neuro-urbanism through a case study of Ras Elbar City, Egypt. Building on earlier conceptual research that integrated artificial intelligence (AI), neuroscience-informed design, and sustainability principles, this paper seeks to test the framework’s practical relevance in the context of a developing coastal city. Using qualitative evaluation methods, including field observation and spatial assessment, the research examines twelve key urban design elements such as green spaces, mobility networks, lighting, and soundscapes. Each element is analyzed across three dimensions: neuro-urbanism goals, AI integration, and sustainability outcomes. The findings show that …


Exploring The Stress-Strain Relationship Of Lightweight Concrete To Enhance The Lifecycle Performance Of Transportation Highways And Bridges, Fariborz M. Tehrani Apr 2026

Exploring The Stress-Strain Relationship Of Lightweight Concrete To Enhance The Lifecycle Performance Of Transportation Highways And Bridges, Fariborz M. Tehrani

Mineta Transportation Institute

Concrete is the primary construction material of bridges, roads, and other transportation infrastructure across the United States, but conventional normal-weight concrete (NWC) is heavy, prone to cracking, and expensive to maintain over time. This study examines the mechanical properties, durability, and lifecycle performance of lightweight aggregate concrete (LWC) and internally cured concrete (ICC) as alternatives in transportation infrastructure applications. Through laboratory testing, computer modeling, and lifecycle analysis, the research evaluates how these materials perform in terms of strength, flexibility, durability, cost, and environmental impact. The results show that LWC and ICC can meet required strength levels while being lighter and …


Real-Time Data Collection System For Low-Cost Diesel Emissions Monitoring, Zachary Driskill Apr 2026

Real-Time Data Collection System For Low-Cost Diesel Emissions Monitoring, Zachary Driskill

Theses and Dissertations

Diesel trucks are a major source of pollutants, including particulate matter (PM) and NO$_x$. Roadside emissions monitoring can identify high-emitting diesel vehicles, but conventional sensing systems rely on expensive, complex sensing instruments that limit widespread deployment. Low-cost sensors offer increased scalability due to their small size, low cost, and low power consumption, but they have lower accuracy and slower response time. This thesis presents the design and evaluation of a low-cost roadside emissions monitoring system, establishing the foundation for a scalable and widely deployable alternative. We apply machine learning calibration to roadside emission monitoring to improve the usability of low-cost …


Implementation And Evaluation Of Alternative Methods For Simulation Of Sidescan Sonar, Blake Paul Romrell Apr 2026

Implementation And Evaluation Of Alternative Methods For Simulation Of Sidescan Sonar, Blake Paul Romrell

Theses and Dissertations

The original sonar implementation for the HoloOcean simulator was built upon a cached octree representation of the world. On first runs, building the cache was prohibitively slow, and the cache had a major memory footprint. This work presents alternative implementations for the sidescan sonar using direct raytracing on the CPU and rendering on the GPU. To evaluate and compare the implementations, timing tests on comparable parameters, as well as sweeps on resolution and range parameters, were performed. The render-based GPU implementation outperformed the others in the timing tests.


Application Of Fidic Epc/Turnkey Contract Under The Egyptian Public Works Contracts Law, Ahmed Alhady Dr., Mahmoud Mahmoud Ahmed Eng., Ahmed Elhakeem Prof., Mohamed Ibrahim Dr. Apr 2026

Application Of Fidic Epc/Turnkey Contract Under The Egyptian Public Works Contracts Law, Ahmed Alhady Dr., Mahmoud Mahmoud Ahmed Eng., Ahmed Elhakeem Prof., Mohamed Ibrahim Dr.

Civil Engineering

This study focuses on the application of FIDIC Conditions of Contract for EPC Turnkey Projects—Silver Book 1999, (FIDIC (EPC&T)), when governed by the Egyptian Law of Contracts concluded by public bodies No. 182 of 2018 (ELC) due to the conflicts that may arise from such application. Hence, this study identifies specific FIDIC (EPC&T) 1999 clauses that have the potential for conflicts with ELC, shows the similarities and disparities between these clauses and the relevant ELC articles, and provides recommendations to ensure the successful application of FIDIC (EPC&T) 1999 under ELC. This was achieved through a multistep research methodology in which …


Relationships Between The Parameters Of The Vegetable Oil Refining Process And Energy Consumption, Umidjon Abdimajitovich Ruziev, Marufjon Kobuljonovich Shodiev Apr 2026

Relationships Between The Parameters Of The Vegetable Oil Refining Process And Energy Consumption, Umidjon Abdimajitovich Ruziev, Marufjon Kobuljonovich Shodiev

Technical science and innovation

Vegetable oil refining is a multi-stage thermochemical process that is closely related to energy consumption, process parameters, product quality, and food safety requirements. Despite the extensive scientific literature on oil quality and pollutant formation, the quantitative relationship between purification parameters and relative energy consumption has not been sufficiently studied. In this work, a systematic analysis and engineering synthesis were carried out based on existing studies. According to the analysis results, the deodorization process accounts for 52–56% of the total thermal energy consumption, with a relative value ranging from 160 to 380 kJ/kg, depending on the enterprise's capacity and heat utilization …


Elemental And Mineralogical Characterization Of Permo-Carboniferous Coal In The Ngaka Coalfield, Southwest Tanzania: Implications For Coal Quality Variation, John W. Gama, Justina J. Saroni, Remigius L. Gama Apr 2026

Elemental And Mineralogical Characterization Of Permo-Carboniferous Coal In The Ngaka Coalfield, Southwest Tanzania: Implications For Coal Quality Variation, John W. Gama, Justina J. Saroni, Remigius L. Gama

Tanzania Journal of Science

Coal from heterolithic seams exhibits distinct chemical characteristics due to interbedded non-coal beds, which influence its quality and usability. Despite extensive research in these settings, the elemental and mineralogical characteristics of the heterolithic sequences of the Mchuchuma Formation (K2) in the Ngaka Coalfield remain poorly documented. This study provides the first detailed assessment of K2 seams across five active mine sites. Eleven representative samples were analyzed using proximate, elemental, and mineralogical techniques, supported by Pearson correlation, binary analysis, and Principal Component Analysis. Proximate analysis revealed that ash content varies across mine sites, with values ranging from 9.17 to 25.03%, volatile …


Enterprise Risk Management And Firm Performance In China: The Moderating Role Of Risk Management Committee, Liang Yankun Apr 2026

Enterprise Risk Management And Firm Performance In China: The Moderating Role Of Risk Management Committee, Liang Yankun

Student Works (2020-2029)

Risk management has increasingly become an interesting topic among the academicians and industry practitioners, following the 2008 global financial crisis. Motivated from the growing evidence of the significant role of Enterprise Risk Management (ERM) in improving firm performance, this study examines the relationship between ERM and firm performance in the context of China. Furthermore, this study explores the moderating role of risk management committee (RMC) on the relationship between ERM and firm performance in China. Drawing upon 94 public listed firms on the Shanghai Stock Exchange from 2018 to 2021, this study finds that ERM has significantly and positively affects …


The Impact Of Towing Policies On Secondary Crashes And Incident Clearance Or Large Commercial Vehicles: Evidence From A U.S. State Case Study, Deo Chimba, Bryson Mgani, Masanja Madalo, Erickson Senkondo Apr 2026

The Impact Of Towing Policies On Secondary Crashes And Incident Clearance Or Large Commercial Vehicles: Evidence From A U.S. State Case Study, Deo Chimba, Bryson Mgani, Masanja Madalo, Erickson Senkondo

Civil and Architectural Engineering Faculty Research

Effective incident management is a cornerstone of transportation system performance, influencing roadway clearance times (RCTs) and the risk of secondary crashes. This study investigated how towing regulations involving large commercial vehicle crashes and jurisdictional variations affect the management of large-vehicle crashes, focusing on the relationship between regulatory frameworks, incident duration, and secondary crash occurrence with the state of Tennessee as a case study. The objective was to determine whether differences in towing policies, operational mandates, and rural/urban contexts lead to measurable changes in clearance efficiency. A multi-year dataset of more than 770,000 traffic incidents and 4400 towing-involved large-vehicle crashes from …


Evaluating Fine-Scale Air-Quality Heterogeneity Using A Low-Cost Multipollutant Sensor Network In Twin Cities, Minnesota, Varuni Abhayaratne, Weixing Hao, Chen Ye, Anjana Yatawara, Philip K. Hopke, Jiayu Li, Yang Wang Apr 2026

Evaluating Fine-Scale Air-Quality Heterogeneity Using A Low-Cost Multipollutant Sensor Network In Twin Cities, Minnesota, Varuni Abhayaratne, Weixing Hao, Chen Ye, Anjana Yatawara, Philip K. Hopke, Jiayu Li, Yang Wang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

There is growing interest and effort in deploying low-cost sensors (LCSs) to understand fine-scale spatiotemporal heterogeneity of ambient air pollutants in urban areas. The Assessing Urban Air Quality project conducted by the Minnesota Pollution Control Agency deployed 45 low-cost air-quality monitors (AQMesh, Environmental Instruments Ltd.) in the Minneapolis/St. Paul metropolitan area network. Hourly averaged pollutant concentrations or mixing ratios for carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), nitric oxide (NO), and sulfur dioxide (SO2), as well as particulate matter (PM), including PM1, PM2.5, and PM10, were obtained. The network data from June 2019 to June …


Growth Potential Of Materials For Decarbonization: Insights From The Cement Industry Value Chain, Noha Mostafa Apr 2026

Growth Potential Of Materials For Decarbonization: Insights From The Cement Industry Value Chain, Noha Mostafa

Mechanical Engineering

To meet the Paris Agreement objectives and limit global warming to 1.5˚C compared to preindustrial levels, it is estimated that the built sector must cut its total emissions by 50% before the year 2030 and fully decarbonize it by 2050. The built environment is estimated to be responsible for 40% of global energy and emissions. These global carbon emissions include both operational carbon—the day-to-day carbon emissions generated through the operation and maintenance of buildings—and embodied carbon. With its recorded high emissions, cement manufacturing is a key area of interest for the decarbonization efforts. To meet the increasing demand for sustainably …


Escaping Isolation: An Analysis Of Virtual Machine And Container Breakout Vulnerabilities, Felix Iov Apr 2026

Escaping Isolation: An Analysis Of Virtual Machine And Container Breakout Vulnerabilities, Felix Iov

Cybersecurity Undergraduate Research Showcase

Cloud computing providers rely on multi-tenant architectures to maximize resource efficiency. This infrastructure depends on virtualization, which provides isolation between clients. This comes primarily in the form of Virtual Machines (VMs) and Containers. However, “breakout attacks” or “escapes” are a critical threat where attackers bypass these isolation layers to gain unauthorized access to the host system and neighboring environments. This paper surveys virtualization escape threats and analyzes three case studies: a runc container escape (Leaky Vessels), a VMware ESXi VM escape (VSOCKPuppet), and an NVIDIA GPU container escape (NVIDIAScape). Each demonstrates different attack surfaces, including file descriptor misuse, kernel driver …


Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum Apr 2026

Security Risks Of Ai-Generated Code In Software Development, Maame Agyekum

Cybersecurity Undergraduate Research Showcase

Artificial Intelligence(AI) has recently forced change globally, public Institutions and as well as national security. Advancement in machine learning, mixed datasets have enabled significantly powerful systems while being capable of operating at a large scale. As innovation and technological advancement increases at rapid pace, issues like a regulation gap where scientific development far exceeds the government’s ability to regulate and establish an effective oversight. As a result, Artificial Intelligence has been controlled by private companies, leading to an industry where speed and profit often outweigh safety and ethical responsibility.


Humanizing Engineering For Preservice Elementary Teachers Through Sustainable Engineering Stories, Jeffrey D. Radloff, Madison M. Morris, Jacob Pleasants Apr 2026

Humanizing Engineering For Preservice Elementary Teachers Through Sustainable Engineering Stories, Jeffrey D. Radloff, Madison M. Morris, Jacob Pleasants

Journal of Pre-College Engineering Education Research (J-PEER)

Meeting the goals of US K–12 science education reform requires that preservice elementary teachers (PSTs) understand engineering as a specialized discipline and a human endeavor that addresses real-world issues. Yet in their formal education, few PSTs receive opportunities to learn about the humanistic dimensions of engineering: engineers’ personal values and motivations, the sociocultural nature of engineering work, and the societal significance of engineering. Storytelling about engineering offers a practical way to give PSTs access to these ideas. This study examines the impacts of integrating storytelling about engineering in a science methods course for future elementary school teachers. Over a two-year …


Proxyconnec: A Lora-Based Proactive Safety Communication System For Off-Grid Environments, Shruti Bhandari, Roza Shaimurat Apr 2026

Proxyconnec: A Lora-Based Proactive Safety Communication System For Off-Grid Environments, Shruti Bhandari, Roza Shaimurat

ATU Scholars Symposium

Remote environments lacking cellular or satellite coverage present significant safety challenges. ProxyConnec was developed as a point-to-point communication system using ESP32 microcontrollers and REYAX RYLR998 LoRa modules to provide off-grid monitoring.

The system implements a proactive heartbeat model in which a beacon device transmits a signal every 1,000 milliseconds. A base station monitors this connection using a 5,000 millisecond watchdog timer. If communication is interrupted, the system immediately triggers audible and visual alerts. Unlike conventional tracking devices that depend on manual SOS activation, this design treats unexpected signal loss as a potential safety event.

The manufacturer rates the selected LoRa …


Tunable Shock And Vibration Damping In Metal Laser Powder Bed Fusion Components Via Controlled Post-Print Compaction Of Particle Damper Cavities, Joud N. Stame, Yanzhou Fu, Samuel Roberts, Austin Downey, Tianyu Zhang, Lang Yuan, Daniel Kiracofe Apr 2026

Tunable Shock And Vibration Damping In Metal Laser Powder Bed Fusion Components Via Controlled Post-Print Compaction Of Particle Damper Cavities, Joud N. Stame, Yanzhou Fu, Samuel Roberts, Austin Downey, Tianyu Zhang, Lang Yuan, Daniel Kiracofe

Faculty Publications

Components manufactured by Laser Powder Bed Fusion (LPBF) can incorporate particle dampers (PDS) by retaining unfused powder within internal pockets, providing inherent vibration suppression without added mass or separate damping components. This study investigates the damping performance of such LPBF-integrated PDs through two complementary approaches: (1) quantifying the effect of post-printing volume compression on energy absorption by mechanically indenting the damper pocket, and (2) evaluating how variations in particle packing density influence the dynamic response under both sinusoidal and transient impulse excitation. Experimental results from shaker and shock testing demonstrate that increased packing density, whether by compression or tighter confinement, …


Comparison Of Anomaly Detection Methods On Event-Based Vision Sensor Data In A High Noise Environment, Will Johnston, Anthony L. Franz, Shannon R. Young, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter Apr 2026

Comparison Of Anomaly Detection Methods On Event-Based Vision Sensor Data In A High Noise Environment, Will Johnston, Anthony L. Franz, Shannon R. Young, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter

Faculty Publications

Event-based vision sensors (EVSs) provide unique frequency analysis opportunities due to their event data output and high temporal resolution. Anomaly detection methods used in hyperspectral analysis can be used on the event frequency spectra to detect targets. However, the introduction of a strong, flickering interfering source can reduce the EVS sensitivity and obscure targets of interest. Previous work presented a method showing that targets could still be detected through an overwhelming source using frequency analysis, background suppression, and statistical filtering. This paper extends that research and compares the ability of five different eigenanalysis anomaly detection methods (principal component background suppression …


Systematic Design And Optimization Of Porous Bone Plates Using Taguchi Method And Finite Element Analysis, Aliaa A. Farraj, Tawakol A. Enab, Hanan M. Amer, Mostafa A. Elbahloul Apr 2026

Systematic Design And Optimization Of Porous Bone Plates Using Taguchi Method And Finite Element Analysis, Aliaa A. Farraj, Tawakol A. Enab, Hanan M. Amer, Mostafa A. Elbahloul

Mansoura Engineering Journal

Solid bone fixation plates, although clinically effective, often induce stress shielding and impair periosteal blood flow due to their mismatch in stiffness with cortical bone. To overcome these limitations, this study proposes lattice-engineered porous bone plates designed to balance mechanical integrity and biological compatibility. A systematic parametric investigation was conducted by varying three design variables: crystal structure type (diamond, fluorite, and gyroid), porosity levels (50%, 70%, and 90%), and structure layout. Three-dimensional models were developed using nTopology, and finite element analysis (FEA) was performed under a static compressive load to evaluate stress distribution. A Taguchi L9 orthogonal array was employed …


Digital Transformation And Market Microstructure: Analyzing The Impact Of Algorithmic Trading On National Stock Exchange Of India Price Discovery Mechanisms Through Complex Systems Theory., Mukesh Bhaskar Ahirrao, Harshal Anil Salunkhe, Vishal Sunil Rana Apr 2026

Digital Transformation And Market Microstructure: Analyzing The Impact Of Algorithmic Trading On National Stock Exchange Of India Price Discovery Mechanisms Through Complex Systems Theory., Mukesh Bhaskar Ahirrao, Harshal Anil Salunkhe, Vishal Sunil Rana

Northeast Journal of Complex Systems (NEJCS)

Abstract

This research examines the evolution of market microstructure at the National Stock Exchange of India (NSE) from 2020 to 2024, a period characterized by substantial growth in algorithmic trading from 35% to 44% of total trading volume. Using market microstructure data and analytical techniques grounded in complex systems perspectives, the study documents temporal patterns in price discovery, liquidity, volatility, and market efficiency associated with this digital transformation.

The analysis reveals several notable changes in market characteristics. Transaction costs improved significantly, with bid-ask spreads declining by 23.4% and market depth increasing by 18.1%. Price adjustment half-life decreased by 50%, indicating …


Preliminary Study Of Circular Lithium-Ion Battery Thermal Management System With Intermittent Cooling, Muhammad Luthfi, Leo Van Gunawan, Yudhy Kurniawan, Sabda Ikhwal Rahmatullah, Alfarikh Muhammad Daen Apr 2026

Preliminary Study Of Circular Lithium-Ion Battery Thermal Management System With Intermittent Cooling, Muhammad Luthfi, Leo Van Gunawan, Yudhy Kurniawan, Sabda Ikhwal Rahmatullah, Alfarikh Muhammad Daen

Journal of Mechanical Engineering Science and Technology (JMEST)

The active battery thermal management system is important to maintain the lithium-ion battery temperature within the optimum and safe range. However, current research has not considered the potential for excessive energy consumption due to the continuous operation of a fluid flow source, such as a fan. This research aims to investigate the effect of a novel approach called intermittent cooling on the cooling efficacy and energy consumption of the circular-configuration BTMS. Both transient computational fluid dynamic simulation and experiment were conducted in this work with 30 pieces of 18650 Lithium-Ion batteries positioned in a staggered circular configuration. From the result, …


Complex Systems Mapping Of Fiscal Growth Dynamics At Strategic Maritime Chokepoints Using Time-Series Slopes, Rahul Balamurugan, Preethi Nanjundan, Avichal Sharma Apr 2026

Complex Systems Mapping Of Fiscal Growth Dynamics At Strategic Maritime Chokepoints Using Time-Series Slopes, Rahul Balamurugan, Preethi Nanjundan, Avichal Sharma

Northeast Journal of Complex Systems (NEJCS)

This study examines how maritime and trading states allocate public resources between defence, health, and economic growth around three strategic chokepoints the Strait of Malacca, the Strait of Hormuz, and the Suez Canal. The analysis extends the classic “guns versus butter” framing by treating defence and health spending as co-evolving components of an interconnected fiscal-growth system. Using World Development Indicators data (1999-2024), trend slopes are estimated for military spending (% of GDP), healthcare spending (% of GDP), and GDP growth (annual %). Two derived indicators are computed, a defence-to-health slope ratio (military slope/health slope) and a fiscal-balance proxy (health slope …


Arum–D Nexus: Adaptive Reflexive Urban Metabolism For Complex Construction And Demolition Waste Governance In Bengaluru, Talat Naaz, Rosewine Joy Apr 2026

Arum–D Nexus: Adaptive Reflexive Urban Metabolism For Complex Construction And Demolition Waste Governance In Bengaluru, Talat Naaz, Rosewine Joy

Northeast Journal of Complex Systems (NEJCS)

Urban material systems exhibit nonlinear dynamics governed by feedback, adaptation, and emergent coupling among institutions, markets, and behaviors. Construction and demolition (C&D) waste in Bengaluru is a great example of such complexity, where fragmented regulation, informal actors, and digital asymmetries coalesce into unstable waste flows and resource leakages. This study conceptualizes Bengaluru’s C&D waste system as a Complex Adaptive System (CAS), where institutional, market, behavioral, and metabolic subsystems co-evolve through nonlinear feedback interactions. A meta-analysis of secondary literature combined with benchmarking of government datasets is used to evaluate two key complexity indicators, i.e., response speed and feedback density. The advancement …


Self-Assembly Interactions In Magnetite-Coated Cellulose Nanocrystals: Implications For Magnetic Hyperthermia Applications, Mohammad J. Hasan, Erin L. Mcneill, Kishore Chand, Juganta Roy, Monishita Deb, Katherine Schlaak, Sydney Herzog, Yvonne Sun, Sarah Watzman, Esteban E. Ureña-Benavides, Erick S. Vasquez-Guardado Apr 2026

Self-Assembly Interactions In Magnetite-Coated Cellulose Nanocrystals: Implications For Magnetic Hyperthermia Applications, Mohammad J. Hasan, Erin L. Mcneill, Kishore Chand, Juganta Roy, Monishita Deb, Katherine Schlaak, Sydney Herzog, Yvonne Sun, Sarah Watzman, Esteban E. Ureña-Benavides, Erick S. Vasquez-Guardado

Chemical and Materials Engineering Faculty Publications

Magnetic cellulose nanocrystal (MCNC) nanocomposites are promising sustainable and biocompatible platforms for magnetic hyperthermia; however, the molecular mechanisms governing Fe3O4 adsorption and deposition onto CNCs remain poorly understood. Here, sulfated (S-CNC) and TEMPO-oxidized CNCs (T-CNC) were used to prepare nanocomposites at 1:2 and 1:4 CNC:Fe3O4 mass ratios, enabling a systematic evaluation of how surface chemistry and nanoparticle loading dictate interfacial interactions and magneto-colloidal behavior. Bare magnetite nanoparticles were 21 ± 5 nm by TEM but grew to 144 ± 18 in the DLS measurement at pH 7. The S-CNC nanocomposites had hydrodynamic sizes between 144 and 210 nm, not much …


Multiple-Valued Quantum Automata For Robotics, Yuchen Huang Apr 2026

Multiple-Valued Quantum Automata For Robotics, Yuchen Huang

Dissertations and Theses

This dissertation introduces a new type of quantum automata, their encoding and circuit realization. I concentrate on possible applications in robotics. Several methods and application of quantum automata and quantum circuit-based controllers for elementary robotic systems, with a focus on humanoid robot motion, emotion, and behavior generation are illustrated in detail. The research introduces several novel methodologies that bridge quantum computing principles with robotic control, aiming to overcome the limitations of classical deterministic and probabilistic approaches.

The dissertation first presents a quantum-circuit-based framework for generating non-repetitive and expressive (e)motions in a humanoid robot actor, using superposition and entanglement to produce …


Ai Method For Classification Of Diagnosis Of Near-Infrared Breast Lesion Images, Kaiquan Chen, Fangyang Shen, Honggang Wang, Zhengchao Dong, Jizhong Xiao, Ming Ma, Afroza Aktar, Christopher Chow, Wenxiong Zhang Apr 2026

Ai Method For Classification Of Diagnosis Of Near-Infrared Breast Lesion Images, Kaiquan Chen, Fangyang Shen, Honggang Wang, Zhengchao Dong, Jizhong Xiao, Ming Ma, Afroza Aktar, Christopher Chow, Wenxiong Zhang

Publications and Research

In near-infrared optical breast lesion screening and diagnosis systems, high-speed four-dimensional scanners can dynamically acquire tens of thousands of lesion images within a five-minute period. Currently, manual computer annotation is required to generate standard samples from these scanned breast lesion images, a process that depends heavily on physicians with clinical expertise. On average, a single physician can annotate only approximately ten samples per working day. As a result, this process is time-consuming and labor-intensive, and the collected samples often suffer from low accuracy, large variability, and limited diagnostic reliability. Several AI-based annotation tools, such as QuPath, HALO AI™, and X-AnyLabeling, …


Hybrid Thermosetting Polymer Nanocomposite Thin Films With Optimized Thermal Conductivity And Mechanical Reinforcement, Vinicius Alvarenga, Camila M. Maroneze, Matheus S. Dias, Bruno Milton Oliveira Silva, Jaime Taha-Tijerina, Christiano J. S. De Matos, Hélio Ribeiro Apr 2026

Hybrid Thermosetting Polymer Nanocomposite Thin Films With Optimized Thermal Conductivity And Mechanical Reinforcement, Vinicius Alvarenga, Camila M. Maroneze, Matheus S. Dias, Bruno Milton Oliveira Silva, Jaime Taha-Tijerina, Christiano J. S. De Matos, Hélio Ribeiro

Informatics and Engineering Systems Faculty Publications

Epoxy-based thin films reinforced with graphene oxide (GO), hexagonal boron nitride (h-BN), and their hybrid combination (GO/h-BN) at low filler contents (<  1 wt%) were developed to advance thermosetting nanocomposites for high-performance thermal interface materials (TIMs). The incorporation of these 2D nanostructures led to marked and simultaneous increases in both the storage modulus (E′) and the glass transition temperature (Tg) for the individual and hybrid systems. These enhancements indicated strong interfacial interactions between the nanofillers and the epoxy matrix, promoting a more efficient crosslinking density and reinforcing the overall rigidity of the polymer network. Uniform thin films, processed under controlled conditions, exhibited efficient phonon transport without compromising their dielectric integrity, as demonstrated by steady-state and 3-ω thermal analyses. The incorporation of 0.5 wt% GO/h-BN resulted in up to …


Evaluating Square Gradient Theory For Correlation And Prediction Of Surface Tension, J. Richard Elliot Apr 2026

Evaluating Square Gradient Theory For Correlation And Prediction Of Surface Tension, J. Richard Elliot

University Research

The ESD EOS [Elliott, Suresh, and Dohohue, IECR 1990, 29, 1476] is incorporated into the open-source Square Gradient Theory (SGT) library published by Mejia et al. [Mejia, Müller, and Chaparro-Maldonado, J. Chem. Inf. Model. 2021, 61, 1244]. The combined formalism is evaluated for accuracy compared to experimental measurements and empirical correlation methods. Earlier evaluations of the ESD EOS have shown it to provide accuracy like other EOSs for vapor pressure, vapor–liquid, liquid–liquid, and solid–liquid equilibria where the databases covered roughly 500 compounds and 100–200 mixtures each. For surface tension, a database of measured values for roughly 1000 compounds has been …