Engineering Commons^™

Analysis Of Vision Transformers And Domain Adaptation In Long-Range Facial Recognition, Zachary Michael Swanson

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Atmospheric turbulence presents a significant barrier to long-range facial recognition, introducing severe geometric distortions and blur that degrade image quality. This thesis investigates deep learning approaches for mitigating these effects, with a focus on transformer based architectures and domain adaptation strategies.

An in-depth benchmarking study was performed using convolutional neural networks (CNNs) and vision transformers (ViTs) on the Husker BRIAR Research Collection from up to 500m (HBRC-500) face dataset. The results demonstrated that vision transformers, particularly hierarchical vision transformers like the shifted-window (Swin) transformer, outperform CNN-based models at long distances due to their ability to model global spatial relationships and …

Biocomputing Approach To Modeling And Modulating Calcium Signaling, Sehee Sun

School of Computing: Dissertations, Theses, and Student Research

Biocomputing is an emerging field that seeks to perform computational tasks using biological substrates and processes. Unlike conventional computing systems based on silicon hardware, biocomputing leverages the parallelism, energy efficiency, and complex dynamics of living systems. Among various cellular mechanisms, calcium (Ca2+) signaling stands out as a central regulator of diverse biological functions, offering a promising basis for programmable logic and control in living cells.

This thesis introduces a novel framework for modeling and modulating Ca2+ dynamics using biologically inspired Boolean logic circuits. Specifically, we propose the Ca2+ Boolean Logic (CaBL) model, in which Ca2+ fluxes and interactions are abstracted …

Identification Of Authentic Gnss Signals In Time-Differenced Carrier-Phase Measurements With A Software-Defined Radio Receiver, Zhen Zhu, Sanjeev Gunawardena, Eric Vinande, Jason Pontious

Faculty Publications

The time-differenced carrier phase can be computed from measurements recorded by a multi-global navigation satellite system software-defined radio receiver such as PyChips, from which the user displacement and receiver clock drift can be solved. PyChips is able to simultaneously track authentic and inauthentic signals in separate channels, which makes it possible to observe both types of measurements with corresponding navigation data. A random sample consensus algorithm has been introduced to assess the consistency between the measurements and data. This algorithm successfully separated authentic channels from inauthentic channels when they are broadcast simultaneously.

Mechanical Engineering Virtual Reality Lab, Alan Mcdonnell

Case studies: Digital Education

Students perform multiple engineering lab experiments within the Critical Utilities 1 module. The ‘Pump Laboratory’ experiment involves interaction with a fluid power training rig to record pressure and flow readings from a variety of system states. The recorded data from multiple pumping experiments is used to create pump and system characteristic curves and charts. This experiment is very appropriate to industrial practice and design. The typical cohort size is 10+ and the availability of only one training rig introduces a ‘pinch-point’ in the interaction capacity of the students; there is insufficient time for all students to perform all the separate …

Artificial Intelligence In Everyday Life, Sally Brown

Artificial Intelligence Exhibit

This section explores using AI in everyday life including decision making.

Artificial Intelligence: The Twilight Zone And Conclusion, Sally Brown

Artificial Intelligence Exhibit

This section concludes the exhibit with an exploration of the deepfake dilemma, existential risks and societal impacts, and takeaway inquiries.

Ai Questions; "The Ai Tea", Sally Brown

Artificial Intelligence Exhibit

This section includes a series of questions related to AI and the exhibit content, as well as button designs by WVU students and Art in the Libraries committee members, a list of the exhibition sponsors, and information on the exhibition launch panel.

Artificial Intelligence Introduction Section, Seth Newell, Sally Brown

Artificial Intelligence Exhibit

The introduction gives an overview of the exhibition, along with an explanation of AI literacy, AI vs. Google, and a basic AI timeline.

Artificial Intelligence In Education, Sally Brown, Jill Woods, Mohamed Hefeida, Jennifer Sano-Franchini, Megan Vendemia, Erin Brock Carlson, Megan Leight, Gangqing Hu, Nicole Fuller

Artificial Intelligence Exhibit

This section explores the intersection of AI and education, including an overview of WVU's AI statement and submissions from WVU faculty, classes, students, and staff on AI related projects.

Distinctive Transpassivation Behavior And Characteristics Of Passive Films Of Laser Powder Bed Fusion Produced And Annealed Ti–6al–4v In Hank's Solution, Yi Fan Zhang, Liang Yu Chen, Ze Xin Wang, Hong Yu Yang, Maksym Bobrov, Dobuvyy Oleksandr, Yong Liu, Lai Chang Zhang

Research outputs 2022 to 2026

Passivated Ti alloys typically demonstrate enhanced corrosion resistance due to the formation of passive films. Intriguingly, in comparison to the annealed Ti–6Al–4V, laser powder bed fusion (LPBF) produced Ti–6Al–4V exhibits significantly attenuated transpassivation behavior in Hank's solution. This work investigated the electrochemical responses of both samples before and after the transpassivation region to illustrate the underlying mechanism for the phenomenon. In the passivation region, both samples displayed analogous passivation behavior, with the annealed and LPBF-produced Ti–6Al–4V having the current densities of 6.64 × 10⁻⁶ and 8.14 × 10⁻⁶ A cm⁻² at 1 V, respectively. Between 1.5 V …

Eco-Friendly Additives For Biodegradable Polyesters: Recent Progress In Performance Optimization And Environmental Impact Reduction, Ahmad Fayyazbakhsh, Nima Hajinajaf, Hamed Bakhtiari, Michael Feuchter, Ilaria Improta, Ehsan Salehi, Sara Kamal Shahsavar, Marketa Julinova, Amirehsan Ghasemi, Bita Ghasemi, Reza Afsharnia, Marek Koutný, Young Cheol Chang

Research outputs 2022 to 2026

Biodegradable polymers have emerged as principal alternatives to petroleum-based polymers, which exert a detrimental impact on the environment. Among these, biodegradable polyesters stand out as particularly noteworthy, renowned for their exceptional properties that find application across diverse industries, including food packaging, biomedical devices, and agriculture. This comprehensive analysis delves into the impact of various additives, with a focus on eco-friendly ones, on biodegradable polyesters, as evidenced by recent research endeavors. The additives are systematically categorized to provide a nuanced understanding within distinct industrial contexts. In the exploration of these additives, a meticulous classification is employed, ensuring a focused analysis of …

Advancing Circular Bioeconomy Through A Systems-Level Assessment Of Food Waste And Industrial Sludge Codigestion, Md Nizam Uddin, Cassidy Hartog, Emma Murray, Jacob Loveless, Luke Roberson, Asli Aslan, Francisco Cubas, Stetson Rowles

Civil Engineering & Construction: Faculty Publications

Disposal of food waste (FW) in landfills remains an unsustainable practice for organic waste management. Simultaneously, pulp and paper mills produce significant amounts of recalcitrant organic waste that is difficult to decompose due to its high lignocellulosic content. In this study, we developed an innovative approach to improve the digestion of pulp and paper mill sludge (PPMS) by amending FW to produce a low chemical oxygen demand (COD) sludge while recovering methane in the process. This codigestion process was evaluated through lab-scale biogas production experiments coupled with a comprehensive economic and environmental sustainability assessment. Biomethane production results revealed that the …

A Comparative Study Of The Pullout Strength Of Geostraps And Geogrids In Reinforced Soil, Kshitij Gaur, Ashutosh Trivedi, Sanjay Kumar Shukla

Research outputs 2022 to 2026

The sustainable development of geotechnical infrastructure necessitates using durable, efficient, and environmentally resilient reinforcement materials. This study investigates the pullout performance of geostraps to assess their potential as a sustainable alternative to conventional geosynthetics. This study focuses on the pullout performance of geostraps, flexible, polymeric reinforcement materials. There has not been a thorough study of their pullout resistance, which directly affects the stability and durability of reinforced soil structures. Pullout tests were conducted on sandy soil in a controlled environment. The experimental findings from the pullout test were then validated in a numerical model. The model was used to determine …

Incorporating Waste Plastics Into Pavement Materials: A Review Of Opportunities, Risks, Environmental Implications, And Monitoring Strategies, Ali Ghodrati, Nuha S. Mashaan, Themelina Paraskeva

Research outputs 2022 to 2026

The integration of waste plastics into pavement materials offers a dual benefit of enhancing road performance and mitigating the environmental burden of plastic waste. This review critically examines the opportunities and challenges associated with incorporating waste plastics in pavement construction, with an emphasis on their impact on the mechanical properties, durability, and life cycle performance of pavements. Special attention is given to the environmental implications, particularly the potential generation and release of micro- and nano-plastics during the pavement life cycle. This paper further evaluates current monitoring and analytical methodologies for detecting plastic emissions from road surfaces and explores emerging approaches …

A Recycling Route For E-Waste And Aluminium Scrap To Produce A2xxx And A3xx Al Alloys, Iman El-Mahallawi, Shaza Raji, Mayar M. Ali, Mai Mahmoud, Sara Atef, Mahmoud Tash, Serag Salem, Tarek Elmeligy

Mechanical Engineering

Electronic waste (e-waste) generation is significantly escalating, while traditional recycling methods, failing to meet sustainability criteria, are still used. The implementation of sustainability requirements calling for recycling will not be achieved unless intensive research is conducted for mitigating and tolerating the presence of accumulating tramp elements in the recycled alloys and even revising the existing standard specifications. This study explores an innovative approach to recycling electronic waste (e-waste) by integrating it with aluminum scrap through conventional melting techniques to produce high-performance industrial alloys aiming to develop novel aluminum alloys with enhanced properties suitable for various industrial applications. The experimental process …

Elucidating The Impact Of Common Stormwater Pollutants On Antibiotic Resistance: The Role Of Heavy Metals, Nutrients, And Salts, Kassidy N. O'Malley, Patrick J. Mcnamara, Walter M. Mcdonald

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance poses a significant global health threat, and the urban water cycle presents an opportunity to augment or limit the spread of antibiotic resistance. In particular, stormwater runoff has recently been revealed as a key conduit for antibiotic-resistant bacteria (ARB). The specific role of stormwater pollutants, however, on antibiotic resistance has not been isolated. Understanding the impact of specific pollutants common to stormwater could help optimize design and operation of stormwater systems for management of antibiotic resistance. The objective of this research was to establish the potential contributions of common stormwater pollutants to antibiotic resistance proliferation. Lab-scale stormwater microcosms …

Response Of Soybean To Variable Irrigation Levels In Eastern Nebraska Using The Aquacrop Model, Anmol Singh

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

AquaCrop was calibrated and validated for soybean [Glycine max (L.) Merr.] using 19 irrigation treatments from five years using data from field experiments. The model accurately simulated canopy cover (CC), soil water content (SWC), and grain yield, with overall validation nRMSE values of 12%, 7%, and 7%, respectively. The overall validation nRMSE for SWC in individual 30-cm soil layers was comparatively higher, at 19%. The model was subsequently applied for long-term simulations (2010–2024) to estimate soybean yield and water requirements for two dominant soil types, Yutan silty clay loam and Tomek silt loam under three irrigation levels - rainfed, …

Ultra-Low Dosages Of Novel Graphene Types Enhance The Rheological Properties And Buildability Of 3d Printed Binders, Sahil Surehali, Akshay Venkatachalam, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

The use of graphene as a high-performance concrete additive is attractive; but, its cost and concerns about production scalability and dispersion efficiency in concrete are impediments to widespread use. This study explores the impact of ultra-low dosages (≤0.02 % by mass of binder) of two novel graphene types—fractal graphene (FG) and reactive graphene (RG)—produced through a cost-effective, environmentally friendly, and scalable process, on the rheological properties of 3D-printable concrete. Both FG and RG significantly enhance the dynamic and static yield stresses and viscoelastic properties of the binder, with RG-modified mixtures exhibiting slightly more pronounced enhancements due to the presence of …

Legacy Nutrient Transport By Overland Sheet Flow, John E. Gilley, Ryan P. Mcgehee, Kenneth M. Wacha

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The transport of phosphorus (P) and nitrogen (N) from sites containing varying quantities of legacy nutrients was evaluated in this investigation. The data that were examined were collected during four previously reported field hydrologic studies performed in eastern Nebraska. Additional flow was introduced to the top of the rainfall simulation plots to replicate runoff conditions occurring along a hillslope. It was observed that both P and N delivery were influenced by runoff rate on sites where beef cattle manure or inorganic fertilizer had been applied. Legacy nutrient delivery appeared to have been influenced by the quantity of nutrients released at …

Experimentally Driven Numerical Model Of Carbon/Polyaniline-Based Glucose Monitoring Sensors: An Evaluation Using A New Figure Of Merit, Ziad Khalifa, Kyrillos Selim, Amira Ali, Sameh Abdellatif

Chemical Engineering

This study presents an experimentally driven numerical model for evaluating carbon/polyaniline (PANI)- based glucose monitoring sensors (GMSs), focusing on innovative configurations using graphene-PANI and carbon nanotube (CNT)-PANI composites. We performed a thorough analysis of the morphological, electrophysical, and electrical properties of these materials, ultimately leading to the extraction of key electrical parameters for integration into a finite element model (FEM). This model simulates the entire sensor, enabling the estimation of critical performance metrics such as sensitivity, limit of detection (LOD), linearity, and power consumption. Our findings demonstrate that the CNT-PANI configuration significantly outperforms the laser-induced graphene (LIG)-PANI electrode, achieving a …

Numerical Simulation For The Design Of Induction Heating Based Radio Frequency Reactor For Ethylene Production, Hunter Teel, Matthew Craps, Hector-Colon Mercado, Perter Ciesielski, Sirivatch Shimpalee

Faculty Publications

Ethylene is a vital petrochemical compound produced in vast amounts yearly by manufacturers that have enough scale to overcome the inherent thermodynamic inefficiencies of the process. In order to address the inefficiencies that prevent smaller scale or intermittent production ethylene, investigation of new production methods are required. In this work, we investigate the use of a radio frequency (RF) based reactor system that generates heat internally as opposed to applying heat externally via steam or direct combustion of fossil fuels. In order to guide the design of an electromagnetic based reactor system, we have created a macroscale model capable of …

A Comparative Techno-Economic Analysis Of Aqueous And Anhydrous Hcl Electrolysis Processes, O. Felix, K. Likit-Anurak, K. Ngamsanroaj, Sirivatch Shimpalee, Ben Meekins

Faculty Publications

The state-of-the-art aqueous HCl electrolysis process is a well-established process for chlorine production but faces challenges such as limited conversion efficiencies, corrosion, and additional pre- and post-electrolyzer processing steps that add to its cost. This study evaluates whether a recently demonstrated anhydrous HCl electrolysis process is more economically viable than the state-of-the-art aqueous process. A 1D electrolyzer model was developed using Aspen Custom Modeler® and integrated into Aspen Plus® for process modeling. Multiple conversion efficiencies (30.5 %, 50 %, 80 %, and 93.4 %) were analyzed for the anhydrous process, with various heat recovery and heat exchanger configurations assessed using …

An Exponential Cone Integer Programming And Piece-Wise Linear Approximation Approach For 0-1 Fractional Programming, Hoang Giang Pham, Thuy Anh Ta, Tien Mai

Research Collection School Of Computing and Information Systems

We study a class of binary fractional programs commonly encountered in important application domains such as assortment optimization and facility location. These problems are known to be NP-hard to approximate within any constant factor, and existing solution approaches typically rely on mixed-integer linear programming or second-order cone programming reformulations. These methods often utilize linearization techniques (e.g., big-M or McCormick inequalities), which can result in weak continuous relaxations. In this work, we propose a novel approach based on an exponential cone reformulation combined with piecewise linear approximation. This allows the problem to be solved efficiently using standard cutting-plane or branch-and-cut procedures. …

Advancing Food Nutrition Estimation Via Visual-Ingredient Feature Fusion, Huiyan Qi, Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such as food classification and ingredient recognition, progress in nutrition estimation is limited due to the lack of datasets with nutritional annotations. To address this issue, we introduce FastFood, a dataset with 84,446 images across 908 fast food categories, featuring ingredient and nutritional annotations. In addition, we propose a new model-agnostic Visual-Ingredient Feature Fusion (VIF2 ) method to enhance nutrition estimation by integrating visual and ingredient features. Ingredient robustness is improved through synonym replacement and resampling strategies during training. The ingredient-aware …

Performance Of Interrupted Minichannel Heat Sink Using Various Coolant Fluids, Ernie Mat Tokit, Mohd Zamri Yusoff, Hussein A. Mohammed

Research outputs 2022 to 2026

The advancement in the micro electro mechanical system, MEMS, had been utilized for several years before. This embarked on the compact and high density of power generation for tiny devices. This led to the development of a heat dissipating system for high-power-density devices. Hence, the work intends to simulate the fluid flow performance of interrupted minichannel heat sinks due to the redeveloping and interrupting of the boundary layer merging in previous work that augments the heat dissipation. The study is conducted through numerical work of laminar steady flow, by governing the Navier-Stokes and energy equation. Three interrupted minichannel heat sinks …

A Study On The Multifunctional Properties And Application Perspectives Of Zno/Sic Composite Materials, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

ZnO/SiC nanocomposite materials possess significant potential for various technological fields due to their extraordinary optical, electrical, thermal, and mechanical properties. The synthesis methods, material properties, and diverse applications of ZnO/SiC composites have been systematically explored in this study. The potential application areas of this nanocomposite include their roles in photocatalysis, optoelectronic devices, gas sensors, and photovoltaic systems. The synergetic effects of ZnO and SiC are analyzed to highlight their advantages over their individual components. Future research directions must focus on the remaining challenges to optimize these nanoscale composite materials for industrial and emerging applications.

Decentralised Consensus Control Of Hybrid Synchronous Condenser And Grid-Forming Inverter Systems In Renewable-Dominated Low-Inertia Grids, Hamid Soleimani, Asma Aziz, S. M.Muslem Uddin, Mehrdad Ghahramani, Daryoush Habibi

Research outputs 2022 to 2026

The increasing penetration of renewable energy sources (RESs) has significantly altered the operational characteristics of modern power systems, resulting in reduced system inertia and fault current capacity. These developments introduce new challenges for maintaining frequency and voltage stability, particularly in low-inertia grids that are dominated by inverter-based resources (IBRs). This paper presents a hierarchical control framework that integrates synchronous condensers (SCs) and grid-forming (GFM) inverters through a leader–follower consensus control architecture to address these issues. In this approach, selected GFMs act as leaders to restore nominal voltage and frequency, while follower GFMs and SCs collaboratively share active and reactive power. …

Building A Long Text Privacy Policy Corpus With Multi-Class Labels, David Stein, Florencia Marotta-Wurgler

Vanderbilt Law School Faculty Publications

Legal text poses distinctive challenges for natural language processing. The legal import of a term may depend on omissions, cross-references, or silence, Further, legal text is often susceptible to multiple valid, conflicting interpretations; as the saying goes: a good lawyer’s answer to any question is “it depends.”This work introduces a new, hand-coded dataset for the interpretation of privacy policies. It includes privacy policies from 149 firms, including materials incorporated by reference. The policies are annotated across 64 dimension that reflect the applicable legal rules and contested terms from EU and US privacy regulation and litigation. Our annotation methodology is designed …

Data Annotations, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Desert Terrain Monochromatic DoT data.

Distributed Monitoring Of Moving Thermal Targets Using Unmanned Aerial Vehicles And Gaussian Mixture Models, Gustavo Vejarano, Yuanji Huang, Pavithra Sripathanallur Murali

Electrical and Computer Engineering Faculty Works

This paper contributes a two-step approach to monitor clusters of thermal targets on the ground using unmanned aerial vehicles (UAVs) and Gaussian mixture models (GMMs) in a distributed manner. The approach is tailored to networks of UAVs that establish a flying ad hoc network (FANET) and operate without central command. The first step is a monitoring algorithm that determines if the GMM corresponds to the current spatial distribution of clusters of thermal targets on the ground. UAVs make this determination using local data and a sequence of data exchanges with UAVs that are one-hop neighbors in the FANET. The second …