Engineering Commons^™

Fabrication Of Ultra High-Temperature Compact Heat Exchanger By Extrusion-Based Ceramic Additive Manufacturing, Abid Hasan Rafi, David W. Lipke, Jeremy Lee Watts, Greg Hilmas, Ming-Chuan Leu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Effects Of The Sintering Process On Additively Manufactured Copper Projectiles, Avery Lyons, William Petzoldt, Phillip R. Mulligan

Miners Solving for Tomorrow Research Conference

No abstract provided.

Cascaded Hydropower Plant Optimization Using A Bi-Level Mixed Integer Model, Ahmad Heidari, Rui Bo

Miners Solving for Tomorrow Research Conference

No abstract provided.

Physical Characterization Of Copper Anode Slimes, Carter Glynn, Michael S. Moats

Miners Solving for Tomorrow Research Conference

No abstract provided.

Multidisciplinary Design Optimization Of A Notional Cubesat Mission, Collin Gentry

Miners Solving for Tomorrow Research Conference

No abstract provided.

Development Of Intelligent Robot Assistance In Mining (Iram), Khosro Ghorbani Zadeh, Yun Seong Song

Miners Solving for Tomorrow Research Conference

No abstract provided.

Extreme Fast Charging Algorithm For Lithium-Ion Batteries With Precision Lithium Plating Regulation For Degradation Reduction, Kiernan O'Boyle, Yaqi Zhu, Jonghyun Park

Miners Solving for Tomorrow Research Conference

No abstract provided.

Sustainable Solutions To Eutrophication: The Role Of Glass Fertilizers, Lucas Greiner, Charmayne Lonergan

Miners Solving for Tomorrow Research Conference

No abstract provided.

Additive Manufacturing Of Thermoplastic Composites, Matik Heskin, K. Chandrashekhara, Richard Billo, Ming-Chuan Leu, Thomas P. Schuman

Miners Solving for Tomorrow Research Conference

No abstract provided.

Image-Based Stage Prediction Of Pressure Injuries Using Deep Learning, Mehedi Tusar, Fateme Fayyazbakhsh, Ming-Chuan Leu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Neural Network-Based Renewal Reward Theory (Rrt) For Optimal Maintenance Scheduling, Samiksha Aryal, Abhijit Gosavi, Susan L. Murray

Miners Solving for Tomorrow Research Conference

No abstract provided.

Electrospun Rgo-Pan Filters For High-Performance Removal Of Respirable Silica And Coal Dust, Mahsa Moradi, Ashish Kakoria, Guang Xu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Sources Of Tensions In Ai Adoption For Organ Procurement Organizations, Amaneh Babaee, Grace Hall, Daniel Burton Shank, Casey I. Canfield

Miners Solving for Tomorrow Research Conference

No abstract provided.

Fast Penetration Test As An In-Situ Method For Assessing Buildability In 3d Concrete Printing, Ali Fasihi, Nicolas Ali Libre

Miners Solving for Tomorrow Research Conference

No abstract provided.

Determining The Wound Closure Capabilities Of A Biological Engineered Blood Vessel For Hd Access, Brianna Regan, Alex Dumitru, Mai Lam

Medical Student Research Symposium

End stage renal disease (ESRD) is a prominent chronic condition with dialysis as a primary treatment option. Dialysis necessitates implementation of an access point, with the gold standard being an AV fistula which possesses multiple shortcomings. Alternative access points, namely synthetic grafts, do not allow wound healing characteristics. This work aims to explore how a tissue engineered vascular graft (TEVG) may be able to address these issues by allowing a long-term access point for HD that can close puncture wounds.

The effects of growth factors on our cells were tested preliminarily by means of a scratch assay on plates of …

Microstructural Evolution Of High-Entropy Carbide Ceramics, Elizabeth Pritchett, William Fahrenholtz, Greg Hilmas, Steven Smith

Miners Solving for Tomorrow Research Conference

No abstract provided.

How Do Human And Ai Gender Bias Interact In Hiring Decisions?, Eyuel Getahun, Daniel Burton Shank, Casey I. Canfield, Jessica L. Cundiff, Jenny Davis, Celia Freed

Miners Solving for Tomorrow Research Conference

No abstract provided.

Digital Fabrication With Fiber-Reinforced Concrete, Haodao Li, Kamal H. Khayat

Miners Solving for Tomorrow Research Conference

No abstract provided.

Prediction Of Undrained Shear Strength From Towed-Tem Resistivity Attributes Using Machine Learning Techniques, Kolawole Arowoogun, Katherine R. Grote, Jeremy Maurer

Miners Solving for Tomorrow Research Conference

No abstract provided.

Enhancing Co₂ Sweep And Storage Efficiency: Development And Evaluation Of A Hydrogel For Co₂ Storage And Enhanced Oil Recovery, Maryaam Sharifi Paroushi, Baojun Bai

Miners Solving for Tomorrow Research Conference

No abstract provided.

Polymerization Methods For Vinyl Phosphonate Monomers: Challenges And Perspectives, Sara Mccauley

Miners Solving for Tomorrow Research Conference

No abstract provided.

On The Robustness Of Adaptive Resonance Theory Neural Networks, Shane Cairns, Leonardo Enzo Brito Da Silva, Sasha Petrenko, Donald C. Wunsch

Miners Solving for Tomorrow Research Conference

No abstract provided.

A Risk Assessment Method For Lithium Ion Batteries Fire Hazards In Underground Mines, Syed Talha Riaz, Aamir Iqbal, Ashish Kakoria, Guang Xu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Maldi-Mass Spectrometry Imaging To Investigate Distribution Of Per- And Polyfluoroalkyl Substances In Exposed Poplar Tissues, Tonglin Zhou, Varuni Abhayarayne, Joseph Akor, Honglan Shi, Paul Ki-Souk Nam, Joel Gerard Burken, John Yang

Miners Solving for Tomorrow Research Conference

No abstract provided.

Preliminary Assessment Of Non-Volatile Particulate Matter And Gaseous Emissions From A Premixed Pre-Vaporized Combustor Designed For Civil Supersonic Transport, Ugochukwu Ewuzie, Godwin Ifeanyi Ogbuehi, Steven Achterberg, Monday Uchenna Okoronkwo, Philip D. Whitefield

Miners Solving for Tomorrow Research Conference

No abstract provided.

Utilization Of Low-Carbon Cementitious Materials In Mine Backfilling, Songtao Zhang, Jun Yao, Pengfei Wu, Xinyu Feng, Jiaxing Ban, Siqi Zhang, Geoffrey Sunahara, Wen Ni

Miners Solving for Tomorrow Research Conference

No abstract provided.

A Non-Linear Optimization Model For Controlling The Real Area Of Contact In Surface Texture Design, Sandra Eksioglu, Min Zou

Industrial Engineering Faculty Publications and Presentations

Motivated by the potential of surface texturing to enhance the tribological performance of micro- and nano-electromechanical systems (MEMS/NEMS), this study proposes a novel non-linear optimization approach for designing textured surfaces. This model minimizes the contact area between interacting surfaces and deformation during sliding under dry conditions by controlling key design parameters, such as the size and shape of the designed surface. We test the performance of the proposed model using the lotus leaf surface with dimensions of 248 x 136 micrometers. Due to the large size of the model, we propose a solution approach which consists of a data aggregation …

Empowering Local Water Resources Managers With Global Hydrological Model Information Through Bias Correction Of Their In-Situ Data Using Saber, Yubin Baaniya

Theses and Dissertations

There is an increase in the frequency and intensity of water related natural disasters driven by climate change and human activities. While satellite data provides extensive coverage of many climatic variables, streamflow monitoring remains inadequate for effectively responding to water-related hazards, particularly in developing regions that lack integrated gauge networks. This study evaluates how incorporating local streamflow gauge data enhances bias correction of the GEOGLOWS Hydrologic Model (RFS) in gauged and ungauged basins using the Stream Analysis for Bias Estimation and Reduction (SABER) method. We analyzed approximately 19,200 gauge stations globally, using machine learning, spatial analysis and Flow Duration Curve …

Privacy At Scale: A Study Of Mobile App Privacy Practices, Katherine Perez

LSU Master's Theses

What is privacy in a world where people are more connected than ever? Due to the Internet and its rapid advancement, the way information is shared and accessed has fundamentally changed. Millions of people interact with social networks, websites, and applications daily—and with each interaction, some data is collected from the user. In many cases, users cannot access a website or application without first accepting the service’s Privacy Policy. However, these policies often obscure the details of how a consumer’s data is handled, burying important information under dense legal language. In response to growing concerns about transparency, some platforms have …

Innovative Design Methodology For Durable Open-Graded Friction Course Asphalt Mixtures, Anas Abualia

LSU Doctoral Dissertations

Open-graded friction course (OGFC) is a thin asphalt mixture surface layer with a high percentage of coarse aggregates and high interconnected air voids, which provides improved skid resistance, visibility, and decreased pavement-tire noise. However, construction personnel at DOTD reported that conventional OGFC mixtures have short service life (raveling distress). Further, their structural contribution to the pavement structure is commonly neglected and designed only for functionality purposes.

The objective of this study was to develop a rational mix design methodology to improve the durability of OGFC asphalt mixtures. Specific objectives are to: (1) conduct a rheological and chemical characterization of polymer-, …