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Common Ground Newsletter Fall 2025, Missouri University Of Science And Technology

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Pendant Micro-Droplet Evaporation Fabricates Fiber-Optic Mof Gas Sensor In Seconds, Abhishek Prakash Hungund, Bohong Zhang, Narasimman Subramaniyam, Thomas Spudich, Ryan O'Malley, Farhan Mumtaz, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

The development of photonic-based gas sensors using metal–organic frameworks (MOFs) and other microporous solids is often a multistep, complex process, typically involving MOF synthesis, purification, and attachment of microcrystals to an optical fiber end face. This study introduces a one-step method that integrates MOF synthesis and sensor head fabrication directly onto the fiber end face, forming an extrinsic Fabry–Perot interferometer (EFPI) with a thin film of MOF microcrystals. The resulting film, only 3–10-μm-thick, enhances sensor response by enabling rapid gas detection within seconds. Utilizing a pendant micro-droplet evaporation technique, this method forms a microporous MOF layer in situ, allowing unreacted …

Improvement Of Lithium-Metal Electrode All-Solid-State Batteries Performance By Shot Peening And Magnetron Sputtering, Atsuro Okumura, Manabu Kodama

15th International Conference on Shot Peening

To enable fast charging in lithium-metal anode all-solid-state batteries, suppressing lithium dendrite formation at the solid electrolyte (SE) interface is critical. Increasing fracture toughness via shot peening (SP) and improving interfacial contact with Au sputtering can inhibit dendrite growth. However, conventional sputtering may reduce toughness due to localized thermal damage. This study investigated magnetron sputtering as a low-damage, plasma-based Au deposition method. SEs with and without SP were fabricated and coated via normal and magnetron sputtering. Critical current density (CCD) and fracture toughness were evaluated. Without SP, CCD improvement was limited regardless of sputtering method due to poor bonding. With …

Blockchain-Based Trusted Traceability And Sustainability Certification Of Leather Products, Ruba Islayem, Haya R. Hasan, Ahmad Musamih, Khaled Salah, Raja Jayaraman

Industrial Engineering: Faculty & Staff Publications

The leather supply chain comprises numerous organizations and stakeholders, particularly when sustainability aspects are taken into account, making it a complex system. The complexity inherent in such systems can lead to inaccurate information, lack of transparency, and limited data provenance. Moreover, there has been a surge in the call for sustainable practices within leather production, propelled by growing environmental consciousness and ethical considerations. In this paper, we address these challenges by proposing a blockchain-based solution designed to ensure trusted and secure traceability and sustainability throughout the entire life cycle of leather products. By harnessing the inherent capabilities of Ethereum smart …

Molecular Simulations Of Selective Adsorption Of Lithium In The No.6 Coal Seam, Junggar Coalfield, Zhang Junshuang, Sun Beilei, Zhang Bin, Liu Chao

Coal Geology & Exploration

Objective With the discovery of metal deposits in coal-bearing strata, the distribution and occurrence patterns of lithium in coals have attracted much attention. However, its partitioning mode between organic structures and minerals in coals remains poorly understood.Methods This study investigated typical coals with a high lithium content in the Junggar Coalfield in Inner Mongolia. By integrating multiple simulation methods, including quantum mechanics, Monte Carlo simulation, and molecular dynamics, this study established the structural models of organic matter and inorganic minerals, as well as a visualized lithium-coal molecular structure model. Accordingly, it investigated the preferential adsorption sites on both organic …

A Collocation Point Sampling Method For Solving The Helmholtz Equation Using Physics-Informed Neural Networks, Shan Lianpu, Yu Caixia, Wang Yanfei

Coal Geology & Exploration

Background In the field of seismic wavefield simulation, physics-informed neural networks (PINNs) have emerged as a new method for efficiently solving the Helmholtz equation due to their characteristic of grid-free computation. However, for the forward modeling of complex medium models using the Helmholtz equation, traditional uniform grid-based methods for collocation point sampling are insufficient to efficiently provide gradient information, leading to prolonged training time and high resource consumption. Objective and Method To improve the forward modeling efficiency and accuracy based on PINNs and overcome the anomalous concentration of collocation points in the seismic source during dynamic sampling, this study proposed …

Face Off: Evaluating Virtual Human Expressions And Non-Tracking Control Methods In Vr, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis

Conference papers

Social virtual reality (VR) applications have become more ubiquitous in recent years; central to this is the communication pipeline, how users perceive virtual human facial expressions, and how they control them in real time, especially when using VR devices without face-tracking. We investigated both aspects in a set of experiments. Firstly, we compared the perception of virtual human emotions on a traditional 2D screen and in VR. In a second experiment, we used a validated set of stimuli to compare three different control methods for manipulating an avatar’s facial expressions in VR. These control methods utilize non-tracking control techniques, which …

Battery Management System For Solar Powered Li-Ion Battery In Electric Vehicle Applications: A Comprehensive Review, Mustafa Abdulelah Ali, Mohanad Aljanabi, Faris Mohammed Ali

The Nexus of Sustainability and Energy Technology Journal

Electric Vehicle (EV) charging use is going up solar installations on rooftops and on a large scale in power plants are increasing consequently. Therefore, a Battery Management System (BMS), which is the system for managing battery storage, was used to control the solar energy generation to coordinate charging. Such a connection gives the BMS the opportunity to modify charging/discharging patterns with the help of solar energy predictions and prices of electricity from the grid. Moreover, the battery is being protected from aging with the BMS to monitor the state of charge/health of the battery. The BMS protects the Li-ion batteries …

Study Of Mechanical Properties Of 3d Printed Advanced Polymer, R. Kumaresan, D. Ramasamy, W.S.W. Harun, Sivaraos Sivaraos, Semin Semin, Krishnan Kanny, Habeeb Hattab Habeeb

The Nexus of Sustainability and Energy Technology Journal

This thesis focuses on the mechanical behaviour of ABS which is an advanced polymer material produced by 3D printing. The ABS specimens used in this work were prepared by fused deposition modelling (FDM) to compare the compressive and tensile strength with ASTM D 695. Critical settings within the range of 3D printing process including layer height, fill angle and density were adjusted to investigate the impact on ABS mechanical properties. The effects of these parameters are observed to have a profound impact on the strength and the stiffness of the printed specimens. Further, the optimal conditions for ABS print were …

Unlocking Potential: A Case Study Of Solar Photovoltaic Growth And Challenges In Bangladesh, Kaniz Farhana, Borhan Uddin Khan, Aditya Bhattacharjee, Abu Shadate Faisal Mahamude

The Nexus of Sustainability and Energy Technology Journal

This case study looks at the design and technology of photovoltaic cells and assesses Bangladesh’s advancements in using solar energy, including government programs. Because of Bangladesh’s continuous industrialization and population increase, the country’s energy needs are rising quickly. These issues can be resolved by solar photovoltaic (PV) cells, which provide a renewable energy source because of their adaptability, minimal environmental impact, and fuel independence. Due to its advantageous location, Bangladesh receives a significant amount of solar energy every day, which makes solar photovoltaic cells a viable choice. The Bangladeshi government has taken several steps to encourage solar energy, and organizations …

Chacahoula 2025, Volume 92, Alayna Pellegrin

Chacahoula

The 2025 issue of Chacahoula includes December 2024 and May 2025 graduating classes, as well as stunning photography student life on the banks of Bayou Desiard. With features covering students, faculty, and staff, this year's time capsule preserves an academic year in the life of the University of Louisiana at Monroe.

Teaching Science And Technology As Stewardship Of God’S Creation, Fred Haan

University Faculty Publications and Creative Works

Took place on 9/24/25 at Sekolah Pelita Harapan, Lippo Village in Jakarta, Indonesia. The event was called Integration of Faith and Learning in K-12 Education.

Cyberbullying Defensive Strategy In Social Media Sessions Via Machine Learning And Cyber Deception, Mohammad Shafiqul Islam

Masters Theses

Cyberbullying poses a significant challenge on social media, where traditional detection systems struggle with the nuanced and dynamic nature of online abuse. This thesis proposes an integrated framework that combines large language model (LLM)-based detection with generative decoy responses to enable real-time protection for victims on platforms like Instagram and WhatsApp. Using models such as Mistral 7B, GPT-3.5 Turbo, and Phi-3 Mini, prompt-based one-shot learning achieved 87% detection accuracy and a 5% F1-score improvement over zero-shot approaches, demonstrating robust identification of text-based bullying. A novel synthetic dataset of 98 multi-turn conversations, designed with diverse subtypes and evaluated for realism, addressed …

E-Strip® Peening Intensity Sensor - Linearity, Variability And Connectivity, Sylvain A. Forgues, Brigitte Labelle, Ramzi Ben Moussa, Sebastien Beaugrand, Raphael Sarraillon, Sergio Amaya

15th International Conference on Shot Peening

This paper presents the E-Strip®, a novel electronic sensor developed by Shockform to digitally measure shot peening intensity at the part level. Motivated by the limitations of traditional Almen strips—namely, manual handling, time consumption, and susceptibility to human error—the E-Strip® offers a faster, more reliable, and connected alternative. Extensive testing confirmed the E-Strip® output maintains excellent linearity with Almen intensity across a wide range of media and impact levels (R² > 0.997), and its adjustable sensitivity ensures compatibility from low to high intensities. Variability studies showed the E-Strip® provides similar or better consistency than Almen strips at low intensities, although higher …

Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen

Graduate Student Scholarship

Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …

Heat Transfer Enhancement In Cold Plate Heat Exchangers With Trapezoidal Vortex Generators, Montgomery Miller

Student Theses and Dissertations

An experimental investigation was carried out to study the effects of trapezoidal vortex generators (VGs) as a method of thermal enhancement within cold plate heat exchangers. Three different cold plates were imbedded with VGs in the bottom of the flow passage of varying sizes (h/H = 0.195, 0.253, 0.36) and quantity, as well as a cold plate with no VGs to be used as a comparative baseline. Testing was conducted under the laminar, transitional, and turbulent flow regime (Re = 1000 to 5500) using distilled water as the coolant. Experimental results indicate that the addition of VGs provide a positive …

Comparative Analysis Of Belt-Slider Pan Configurations On The Power Consumption Of Belted Conveyor Systems, Asib Ridwan

Student Theses and Dissertations

Conveyor systems are widely used in industrial applications for material handling, but their high energy consumption remains a significant challenge. This study investigated the influence of different belt-slider pan configurations on conveyor power consumption, aiming to optimize efficiency while minimizing energy losses. Three types of slider pans; mild steel, galvanized steel, and powder-coated steel, were analyzed under controlled experimental conditions to determine the motor torque and power consumption of a test conveyor system under various loading conditions. Torque and power values were derived, plotted, and comparatively analyzed across all configurations to determine performance differences. Static friction coefficients of each type …

Designing A Hybrid Renewable Energy System For The College Of Engineering And Computer Science At Arkansas State University, Partho Das Neer

Student Theses and Dissertations

The main objective of this thesis is to design and analyze the performance of a hybrid renewable energy systems (HRES) for the college of engineering and computer science at Arkansas State University. By implementing the framework as a micro-grid to supply the required power to the Lab Science West building of the college. The proposed model ensures energy reliability and cost reduction. The model consists of photovoltaic (PV) panels, wind turbines (WT), and batteries, whereas MATLAB software was used to design the system and the Electrical Transient Analyzer Program (ETAP) Software is utilized to analyze the effectiveness of the operation …

Designing For Shalom: Deepening Faith Integration In Engineering And Technology, Fred Haan

University Faculty Publications and Creative Works

Presented on 9/22/2025 at the event, Integration of Faith and Learning in the Disciplines at the University Pelita Harapan in Jakarta, Indonesia

Engineering And Technology, Fred Haan

University Faculty Publications and Creative Works

9/21/2025 for the event, Integration of Faith and Learning, at University Pelita Harapan in Jakarta, Indonesia

Temporal Dynamics Of Extracellular Matrix Remodeling In Anthracycline-Induced Cardiotoxicity, Fibi Meshrkey, Somaya Y. Ibrahim, Rushita A. Bagchi, William J. Richardson

Chemical Engineering Faculty Publications and Presentations

Anthracyclines are widely used chemotherapeutic agents with proven efficacy against a broad range of malignancies, but their clinical utility is limited by a well-documented, dose-dependent cardiotoxicity. While this toxicity has traditionally been attributed to direct cardiomyocyte injury, emerging evidence highlights the pivotal role of cardiac fibroblasts (CFs) in the development and progression of anthracycline-induced cardiotoxicity. This review examines the diverse effects of anthracycline focusing on doxorubicin (DOX) and CFs across the temporal phases of cardiac injury. DOX activates fibroblast-driven extracellular matrix remodeling and promotes fibrosis through enhanced collagen production and the induction of cellular senescence, thereby exacerbating early myocardial inflammation …

Comparative Study For Channel Pairing In Noma Ofdm- Cdma System, Hazem H. El-Banna, Nelly M. Shafik

Mansoura Engineering Journal

Orthogonal Multiple Access such as OFDM technique became inadequate scheme since it provides limited spectral efficiency and limited number of users. In addition to Orthogonal Multiple Access (OMA), Non-Orthogonal Multiple Access (NOMA) technique is applied in 5th generation of mobile communications that enhances both spectral efficiency and capacity with high Quality of Service (QoS). In this paper, three techniques were combined NOMA, OFDM, and CDMA in order to have optimal system performance in the presence of worst fading channel situations; fast frequency selective Rayleigh multi-path fading channel. The main contribution of this paper is the novel channel pairing technique introduced …

An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …

A Model Combining Self-Attention And Weight Sharing For Human Activity Recognition, Lun Ma, Yue Yang, Daihe Wang, Guisheng Liao, Xing Li

Journal of System Simulation

Abstract: With the prevalence of wearable devices, human activity recognition based on wearable sensor data has garnered significant attention. The central issue in this field is how to extract effective behavioral information from raw sensor data to form corresponding feature vectors. Currently, convolutional neural networks and recurrent neural networks have been widely utilized for feature extraction from multisensory data. However, these networks struggle to globally capture the crucial temporal features inherent of human activity over time. To address this, a multi-CNN-BiLSTM-self attention (Multi-CBSA) model based on self-attention and weight sharing has been proposed, taking into consideration the logical correlations among …

Internet Of Batteries: An Integrated System Of Battery Health Surveillance System For Electric Vehicles (Evs), Ayodeji Akinsoji Okubanjo, Ignatius Kema Okakwu, Alexander Akpofure Okandeji, Oluwasogo Emmanuel Seun, Olusesi Ayobami Taiwo

AUIQ Technical Engineering Science

Progress in storage technologies is vital to the efficiency of electric vehicles in combating climate change. The automobile industry’s transition to electric mobility has significantly increased the demand for battery storage systems (BSS) in terms of performance, reliability, monitoring, and evaluation of key parameters. However, poor safety and monitoring strategies for battery storage systems in electric vehicle applications pose an increasing threat to the vehicles’ sustainability and mobility. This calls for intelligent battery storage monitoring systems to mitigate carbon footprint and preserve battery lifespan of electric vehicles. This paper focuses on battery storage sustainability in electric vehicles with special emphasis …

Non-Invasive Wearables In Pediatric Healthcare: A Comprehensive Review Of Uses And Implications, Kyra-Angela Magsayo, Seyedeh F. Khatami Firoozabadi

Pacific Faculty Work

Wearable technology is rapidly evolving, with increasing efforts to integrate a wide range of sensors capable of capturing real-time physiological and behavioral health data from users. These devices have shown significant promise in supporting health monitoring and promoting well-being by providing continuous, objective feedback based on data analytics. Importantly, they enable early detection of potential health issues, allowing for timely intervention and more personalized healthcare. While a wide variety of commercially available wearable devices are designed for adults—tracking metrics such as physical activity, heart rate, body temperature, electrocardiograms (ECG), and oxygen saturation—there remains a notable gap in the availability and …

Novel Biomolecule-Infused Gelatin Injectable For Treatment Of Recurrent Laryngeal Nerve Injury, Ananya Tadikonda, Sunjay Anekal, Lena W. Chen, Gabriel Sobczak, Troy Wesson, Carmilya Jackson, Marisa A. Egan, Julie C. Liu, Patrick R. Finnegan, Stacey Halum

School of Chemical Engineering Faculty Publications

Objective

Unilateral vocal fold paralysis (UVFP) due to recurrent laryngeal nerve injury (RLN) is a major cause of voice disorders. We have recently identified three biomolecules (agrin, acetylcholine, and neuregulin) with the potential to promote reinnervation after RLN injury. This study aimed to determine if a gelatin injectable with the reinnervating biomolecules will induce site-specific amplification of neurotrophic factor release and reinnervation after RLN injury in unilateral vocal fold paralysis.

Methods

C57BL/6 mice underwent RLN transection with the following treatment allocations: saline control (N = 16), biomolecule cocktail only (N = 16), and biomolecule-infused gelatin (N = …

Enhancement Of The Received Signal Strength In Smart Grid Communication Systems, Doaa Talaat Elsherbiny, Mona Mohamed Shokair Prof., Mohamed Shalaby, Salah Elden Khamis, Sameh A. Napoleon

Journal of Engineering Research

Smart grids are networks that contain intelligence from the generation stage to the distribution stage. These grids can actually have excellent power efficiency and automated control thanks to intelligence. Within smart grids, the communication mechanism is a crucial area of study. There should be a dependable communication system in the smart grid. A comprehensive mathematical model for a communication system within smart grids is derived in this work. Additionally, the simulation findings validate the mathematical model that was derived. Additionally, experiments are being conducted to apply polar convolutional parallel code PCPC to enhance the performance of the suggested communication system. …

Interference Management For Device-To-Device Communications In Heterogeneous Cellular Networks Using Deep Reinforcement Learningdevice-To-Device Communication; Mmwave Communication; Spectrum Resource Allocation; Deep Reinforcement Learning; Hcns, Suzan Mohamed Shukry

Journal of Engineering Research

Integrating Device-to-Device (D2D) communication into Heterogeneous Cellular Networks (HCNs) augmented with Millimeter Wave (mmWave) technology presents a compelling approach to fulfill the escalating demands for ultra-high data throughput in next-generation wireless systems. Although these advancements significantly improve data transmission efficiency and network scalability, the coexistence of D2D and cellular users within a shared spectral environment triggers considerable interference, complicating network coordination. To mitigate this, the interference scenario is modeled as a unified optimization task involving mode selection and resource allocation, aiming to enhance the aggregate system throughput while adhering to strict SINR constraints for both communication tiers. To tackle this …

Design And Performance Analysis Of A Frequency-Reconfigurable Rectangular Patch Antenna With Dual-Slot Defected Ground Structure For Gsm Band, Sara Abdelbaset, Ashraf Khalaf, Amr Hussien, Ahmed A. Kabeel

Journal of Engineering Research

In this paper, an innovative frequency-tunable rectangular patch antenna is presented, featuring interlaced circular and U-shaped narrow slots, combined with a rectangular-shaped defected ground structure (DGS). This design is specifically developed to produce radiation patterns similar to those of traditional dipole antennas. The integration of the rectangular DGS with three RF varactor diodes, along with two equivalent microstrip conductors, enables a tunable operating frequency band that ranges from 1.08 GHz to 1.7 GHz, achieving a total bandwidth of 0.62 GHz. The DC biasing network connected to the three RF varactor diodes is utilized to finely tune and adjust the resonance …