Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

Water Use And Yield Of Subsurface Drip-Irrigated Forage Crops In Northern Utah, Nishchal Tamang

All Graduate Reports and Creative Projects, Fall 2023 to Present

Growing water scarcity in the Intermountain West has increased interest in improving water use efficiency. Subsurface drip irrigation (SDI) has the potential to reduce evapotranspiration (ET), evaporative losses, surface runoff, and deep percolation. SDI adoption in Utah forage crops is limited, and region-specific information on forage crop water use under SDI is lacking. This study compared ET, yield, and productivity of forage crops between SDI and conventional irrigation methods in northern Utah.

The study was conducted on production fields. Applied irrigation, precipitation, and crop yield were directly measured, while deep percolation was estimated using numerical unsaturated flow modeling. Surface runoff …

Accelerating Rans Cfd Convergence For Bluff Body Flows Using Surface-Vorticity Panel Solver Initialization, Trisha Babu

All Graduate Reports and Creative Projects, Fall 2023 to Present

Reynolds-Averaged Navier--Stokes (RANS) simulations are widely used for predicting aerodynamic performance in engineering applications but often require substantial computational time to achieve convergence, particularly for bluff-body flows characterized by large-scale separation and wake formation. Improving the initialization of CFD simulations offers a practical approach for reducing computational cost without modifying the underlying numerical algorithms. This study investigates the use of a surface-vorticity panel solver (FlightStream) to generate physically informed velocity fields for initializing steady RANS simulations in STAR-CCM+.

Two canonical bluff-body geometries are considered: a sphere at a Reynolds number of 5 X 10⁵ and an isolated cube at …

Graph-Based Machine Learning For Multivariate Time Series Prediction In Scientific Domains: Streamflow Forecasting And Solar Flare Prediction, Kishore Ragul Alagarsamy

All Graduate Reports and Creative Projects, Fall 2023 to Present

Machine learning methods applied to multivariate time series data have emerged as powerful tools across a range of scientific domains. This report examines two distinct application areas in which such methods yield actionable predictive insights: hydrological streamflow forecasting and solar flare prediction in space weather.

In the domain of streamflow forecasting, a Two-Graph Spatio-Temporal Graph Neural Network (Two-Graph STGNN) was developed to predict river discharge across a 20-station network in the Upper Colorado River Basin. The architecture separates hydrological and meteorological feature streams into two complementary graph representations and fuses them through a learned attention mechanism. Systematic evaluation across 23 …

A Multi-Label Computer Vision-Based Approach For Condition Assessment Of Traffic Signs: Database Compilation, Model Training, And Evaluation, Shailaja Ratna Pandey

All Graduate Theses and Dissertations, Fall 2023 to Present

Traffic signs help drivers and pedestrians to understand roadway rules, warnings, and directions, which determine how road users should behave. When signs fade or delaminate, they become harder to read and interpret, which creates increased safety hazards. Transportation agencies usually deploy engineers to the field to inspect signs because they need to evaluate and document the sign’s condition based on established standards and engineering judgment. This process requires substantial time and cost and becomes challenging to apply across large highway networks.

This study evaluated two computer vision (CV) models for automated traffic sign condition assessment using highway images collected across …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Development And Testing Of A Computer Vision Pose Estimation System For Planar Mobile Robots, Andrew Jones

Master's Theses

This thesis details the development and testing of a computer vision-based real-time pose estimation system for differential drive robots. A single camera with a fisheye lens is used to locate ArUco markers placed at fixed locations and attached to robots. Using the OpenCV library, the Perspective-n-Point (PnP) problem is solved to facilitate the transformation of 2-D robot positions in an image to world-frame coordinates. An analytical solution is presented to estimate robot poses based on a single PnP solution, rather than solving the PnP problem for each pose estimate. Pose information is relayed to individual robots using a multi-microcontroller architecture …

Reinforcement Learning For Cathode Material Design Through Sequential Decision-Making Frameworks, Taimoor Muzaffar Gondal, Muhammad Qasim, Yasir Arafat

Research outputs 2022 to 2026

The cathode material design is a persistent challenge in the development of next-generation rechargeable batteries. The cathode performance is critically influenced by certain key parameters, i.e., composition, crystal structures, ion transport, and degradation behaviour. Moreover, techno-economic and sustainable considerations also play a pivotal role in the viable cathode material design. In recent years, the integration of static machine learning models with conventional experimental techniques has significantly enhanced the cathode material design. However, the sequential nature of cathode discovery has not been fully captured by these techniques as they do not update their decision strategy based on prior outcomes. In this …

Validated Near-Infrared Spectroscopy And Chemometric Modelling For Rapid Quantification Of Essential Oil Yield And Α/Β-Santalol In Santalum Album L., Muhammad Hassnain, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

The sandalwood industry remains constrained by destructive, time-intensive assays for essential oil (EO) yield, composition, moisture content, and wood fraction, which limit real-time decision-making. We report a unified near-infrared spectroscopy-artificial intelligence (NIRS-AI) platform for non-destructive analytics across the Santalum album L. value chain. Reflectance and transmittance spectra from solid matrices (disks, logs, chips, and powders), oils, ethanol extracts, and CID-derived emulsions were acquired using benchtop (400–2500 nm) and portable (900–1700 nm) spectrometers and calibrated against hydrodistillation, gas chromatography, extraction, and moisture assays. Advanced chemometric modelling using AI-based machine learning techniques, including regularised regression, ensemble learning, boosting algorithms, and neural networks, …

Chameleon Carriers In Trucking: Detection, Enforcement, And Financial And Safety Impacts, Brian Howell, Drew Law, Andrew Martin

Kentucky Transportation Center Research Report

Chameleon carriers are motor carriers that evade regulatory enforcement by dissolving and reregistering under new corporate identities. This study, commissioned by the Kentucky Transportation Cabinet (KYTC), examined how states characterize, detect, and respond to chameleon carrier activity and assessed its financial and safety impacts in Kentucky from 2020 through 2025. The research team conducted a literature review of existing agency practices and relevant stakeholder perspectives, reviewed administrative codes and statutes across 13 pilot states, and administered two structured surveys to state motor carrier credentialing officials examining carrier characterization and enforcement practices. An analysis of KYTC's carrier data flagged by CVIEW …

Thermal Conversion Of Cotton Gin Byproducts Into Liquid Fuels And High-Value Chemicals, Emmanuel Asare

Mechanical Engineering Theses

In this study, we performed fast pyrolysis, catalytic fast pyrolysis (CFP), and catalytic hydropyrolysis (CHP) of cotton gin byproducts (CGB) to investigate their conversion into hydrocarbon-rich liquid fuels and high-value aromatic chemicals. Five CGB fractions (CC1, CC2, SM, TM, and FCGB) were collected from different stages of cotton ginning operation and characterized by proximate, ultimate, and higher heating value (HHV) analysis. The feedstocks contained 41.5 44.8 wt.% carbon, 54.2–58.5 wt.% volatile matter, 6.0–15 wt.% ash, and higher heating values of 15.2–16.8 MJ kg⁻¹. All pyrolysis experiments were performed using a Pyroprobe 5200 coupled with GC-MS/FID, while catalyst loading, hydrogen pressure, …

Experimental And Molecular Dynamic Simulation Assessment Of H2/Brine/Cement Interfacial Interactions During Underground Hydrogen Storage, Nurudeen Yekeen, Sikiru, Ahmed Al-Yaseri, Berihun Mamo Negash

Research outputs 2022 to 2026

Cement is widely used as a structural and sealing material to ensure hydrogen containment in geological formations. However, the influence of H2–brine–cement wettability and H2–brine interfacial tension (IFT) on the integrity and sealing efficiency of cemented caprocks remains poorly understood. Furthermore, previous studies provide limited insights into hydrogen adsorption and sorption behavior under subsurface storage conditions. In this study, wettability and IFT of H2–brine–cement systems were experimentally measured at pressures of 500–1000 psi and temperatures of 25–50 °C to evaluate hydrogen migration, trapping, and the performance of cemented seals. Molecular dynamics simulations were conducted at pressures of 500–3000 psi and …

Evaluating Echo2 Biochar As Sustainable Bitumen Binder Modifier In Road Pavements: High-Temperature Performance Characterisation, Adeel Iqbal, Nuha S. Mashaan, Themelina Paraskeva, Mohamed A. Shahin

Research outputs 2022 to 2026

The incorporation of bio-derived modifiers in bitumen binders presents a practical pathway toward sustainable, carbon-sequestering road pavement infrastructure. This study evaluates commercially produced ECHO2 softwood biochar as a modifier for Australian viscosity-graded C170 bitumen, combining microstructural, thermal, physical, and rheological characterization to assess its suitability as a high-temperature reinforcing modifier. In this study, biochar was incorporated at 3%, 6%, 9%, and 12% by weight, utilizing particles smaller than 75 µm to maximize interfacial interaction. Characterization via SEM-EDS, XRD, and TGA revealed a highly stable, carbon-rich, amorphous material with a rough, porous morphology, favourable for physical interlocking with the bitumen matrix. …

A Thickness-Invariant Origami Robot With Integrated Actuation And Multimodel Locomotion, Larry L. Howell, Davis Wing, Nathan Usevitch, Sam Bridge, William Bowler

Faculty Publications

ABSTRACT Origami robots possess the potential for advanced reconfigurability in various contexts and environments. This paper describes and demonstrates the function of an origami robot following a thickness-invariant version of the Yoshimura tessellation. This thickness-invariance allows for the simple folding pattern to be expanded vertically, allowing all robotics components to be housed within the panels of the robot without impacting the functional relationships between folds of the pattern, or requiring other, more complex forms of thickness accommodation. The mathematics and engineering to create such a robot are presented to enable the use of these techniques in creating other origami-based robots. …

Multi-Dimensional Framework For Industry 5.0: Integrating Human-Centric, Sustainability, And Operational Resilience, Tamer Adel Mohamed, Mohamed Boumalkha, Ahmed S.I. Amar

Mechanical Engineering

Industry 5.0 reframes digital transformation as a socio-technical endeavor in which automation serves human capabilities, environmental limits, and operational continuity. Yet, much of the current discourse remains either conceptual—lacking implementable metrics—or technologycentric— treating humans and sustainability as constraints instead of design objectives. This paper develops a multi-dimensional implementation framework that operationalizes the three pillars of Industry 5.0: human-centricity, sustainability, and operational resilience. We synthesize recent advances in collaborative robotics and safety-aware human–robot collaboration, digital twins (including human and supply-chain twins), and AI-driven decision support—augmented by emerging 6G ultra-reliable low-latency networking capabilities such as reconfigurable intelligent surfaces, terahertz communications, multi-access edge …

Modular Verification For Network-On-Chip Designs Using Probabilistic Verification And Assume-Guarantee Reasoning, Nicholas Waddoups

All Graduate Theses and Dissertations, Fall 2023 to Present

To satisfy increasing demands for computer chip performance in personal computing, mobile devices, and commercial server computing, a modern computer chip is constructed with tens (or hundreds) of small individual computing modules. Each of these modules must communicate with one other to share information about the running state of a computer. Historically, when chips were a few modules a simple communication method sufficied. However, as the number of modules in a chip grew, a more effecient method was needed in order to maintain performance across the system as a whole. A Network-on-Chip (NoC) design is the de-facto communication method for …

A Cfd-Dem Framework For Characterizing Nanoparticle Adhesion Effects On Creeping-Flow Permeability In Composite Manufacturing, Gavin Stoker

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern aircraft, spacecraft, and high-performance vehicles are increasingly built from composite materials, engineered combinations of plastics and fibers that are lighter and stronger than traditional metals. Researchers are now pushing these materials further by mixing in microscopic particles thousands of times smaller than a human hair, called nanoparticles, to make them even tougher and more resistant to damage. The challenge is getting those nanoparticles distributed evenly. During manufacturing, liquid plastic resin is pumped through a network of tightly packed fibers, carrying the nanoparticles along with it. But nanoparticles tend to clump together and stick to surfaces as they travel, clogging …

Experimental And Numerical Investigation Of Flow Coefficients In Three-Way, T-Port, Ball Valve, Tyler A. Mindrum

All Graduate Theses and Dissertations, Fall 2023 to Present

Many systems that move fluids, like water distribution networks and heating, ventilation, and air conditioning (HVAC) systems, rely on valves to control flow. This study evaluates a three-way valve, which can direct flow in multiple directions, but has not been extensively researched. Testing included physical data collection and computer simulations to compare how the valves behaved under different valve openings and flow conditions. The results showed that computer simulations can predict the general flow behavior of three-way valves, but that physical testing is still important, especially for valves with complex internal geometries.

Evaluating Drug Concentration Profiles In Wastewater To Develop A Framework For Estimating Drug User Populations, Carl Michael E. Espinosa

All Theses

Chemical compounds, including licit and illicit drugs can be measured in wastewater and used to assess community drug consumption, providing valuable information for public health agencies, law enforcement, and local communities. While previous research primarily focused on estimating the per capita community drug consumption using back-calculation, this research focused on utilizing literature-derived parameters including drug dosage, renal excretion fraction, and sewer stability to develop a framework to estimate the user populations using Monte Carlo simulations. Samples were collected from two wastewater treatment facilities representing the Generostee Creek WWTP’s sewershed (GCS) and Mauldin Road WRRF’s sewershed (MRS). The target analytes included …

Characterization, Transport Modeling, And Image Analysis Of Rover-Terrain Interaction For Lunar Regolith In-Situ Resource Utilization, Luke A. Manolescu

All Theses

NASA has declared a return to the lunar surface and the need and demand for sophisticated In-situ Resource Utilization (ISRU) is the highest in history. ISRU will require regolith excavation, transport, and processing in order to harvest the valuable resources available, support surface operations, and keep astronauts alive. Characterizing the lunar regolith is essential to understanding the mechanical and physical behavior of the material that will be used to construct berms and structurally support astronaut habitats and landers. Any construction on Earth requires an in-depth geotechnical site assessment prior to any construction to rule out any potential site issues that …

Investigating The Effects Of Draw Parameters On The Refractive Index Profiles Of Phosphosilicate Fibers, Brandi Baldus

All Theses

P₂O₅ is a common dopant core material in silica-based glass optical fibers, in part due to its ability to increase the refractive index of silica, required for the fiber to guide light. However, P₂O₅-doped fibers can show a significant decrease in the refractive index profile compared to that of the parent preform. The question arises as to whether the refractive index decreasing could be a direct result of the fiber draw process and, if so, what is it about the draw process that causing such changes in phosphosilicate fibers. More specifically, this Thesis explores the hypothesis that these draw-induced reductions …

Electrokinetic Flow Instabilities In Non-Newtonian Fluids With Conductivity Gradients, Md Mainul Islam

All Theses

Electrokinetic instabilities (EKI) arise in electrically driven flows because the applied electric field interacts with spatial variations in electrical conductivity, generating electric body forces that can destabilize fluid interfaces. EKI can be beneficial by enhancing mixing in microchannels where diffusion is slow, but it can also be detrimental by disrupting stable sample transport, focusing, and separation. EKI has been widely studied in Newtonian fluids, and the electric Rayleigh number is known to govern the onset of this instability. However, very few studies have examined its behavior in non-Newtonian fluids, despite their prevalence in biological, chemical, and industrial applications. 

This thesis …

Evaluating The Potential For Chain Elongation To Produce Medium Chain Carboxylates From Anaerobic Conversion Of Lipids, Erin Boyer

All Theses

Medium Chain Carboxylates (MCCs), including caproate and caprylate, are valuable chemicals in various industries that can be produced biologically through an identified chain elongation pathway called reverse β-oxidation. During lipid degradation in anaerobic co-digesters at wastewater treatment plants, methane production is maximized to ensure the successful breakdown of the lipids. It remains unclear whether the anaerobic conversion of lipids possesses the potential to produce MCCs, and this study sought to evaluate the potential using anaerobic co-digester sludge from a full-scale wastewater treatment plant. Batch assays were conducted using the sludge from the plant as inoculum, as well as palmitic acid, …

Implementation Of A Practical Sharp Interface Saltwater Intrusion Model To Assess Future Sea-Level Impacts, Alexandra G. Defalco

All Theses

Rising sea levels caused by global warming exacerbate saltwater intrusion, the inland movement of seawater into coastal aquifers. These processes increase susceptibility to freshwater contamination, surface flooding, and infrastructure damage. Numerical models are utilized to assess hazards to coastal aquifers on a regional scale.

The U.S. Navy is currently developing a robust, reduced-order groundwater modeling platform, SWI6, that uses the sharp interface approach to approximate the location of the freshwater-saltwater interface to define the extent of saltwater intrusion within an aquifer. Featuring compatibility with MODFLOW 6 unstructured grid formats and the Newton-Raphson formulation for better solution stability, SWI6 improves upon …

Constructing Female High School Students’ Stem Self-Efficacy: The Role Of High School Stem Research Experiences, Hyunjin Son

Dissertations

In the U.S., nearly a quarter of the workforce is employed in Science, Technology, Engineering, and Mathematics (STEM) occupations. However, the STEM workforce lacks diversity, limiting perspectives to address real-world problems facing society. While many factors influence decisions to pursue STEM majors in college and enter the STEM workforce, one factor commonly associated with performance and persistence in STEM is STEM self-efficacy. Independent research experiences have been shown to increase conceptual understanding and confidence in STEM, leading to STEM degrees and careers. As high school co-curricular STEM research opportunities become more common, the effects of such experiences on students’ STEM …

Book Review Of, Beyond Techno-Economic Diffusion: A Systematic Review And Socio-Technical Audit Of Agent-Based Models Of Rooftop Solar Pv Adoption, Yavuz Unal, Mehmet Kayalica, Denizhan Guven

Engineering and Technology Management Faculty Publications and Presentations

Agent-based modelling (ABM) is increasingly used to analyze rooftop solar photovoltaic (PV) diffusion, yet it remains unclear how existing models operationalize socio-technical mechanisms such as peer effects, grid constraints, policy uncertainty, and energy justice. This systematic review evaluates ABM architectures for rooftop PV diffusion through a three-layer evidence design: a mapping of 876 publications (2000–2025), a core set of 101 ABM-related studies, and structured coding of 50 focal ABMs using the Spatial–Economic–Mechanistic–Policy–Justice (S-E-M-P-J) framework, which tests whether mechanisms are formally implemented rather than narratively invoked. The coding reveals an uneven architecture: behavioural mechanisms are nearly universal (96%) and policy representations …

Emergency Risk Dispatch For Integrated Electricity-Heat Systems Under Typhoon Disasters, Tongchui Liu, Lian Tan, Dongxuan Bao, Lanting Zeng, Pengfei Hou, Ronghua Ling

Journal of System Simulation

Abstract: The spatiotemporal randomness of typhoon movement paths leads to uncertain operational risks for integrated electricity-heat systems (IEHS), making it difficult to balance system risk controllability and dispatch economy. To tackle this problem, an emergency risk dispatch (ERD) method for IEHS under typhoon disasters is proposed. An ERD model for IEHS under typhoon disasters is established within the model predictive control framework. Based on the uncertainty of typhoon wind speed prediction, a moment-based ambiguity set for uncertain equipment component failures is constructed, and a distributionally robust chance-constrained ERD model is formulated. An approximation method based on worst-case conditional value-at-risk (WC-CVaR) …

Bi-Level Coordinated Scheduling And Optimization Of Power Systems Based On Stackelberg-Gmo, Yuanxing Zhang, Jianfeng Li, Taoyong Li, Linjuan Zhang, Jincheng Liu, Bin Li

Journal of System Simulation

Abstract: , To balance the interests of the power grid and the demand side, and achieve coordinated improvements in system economic efficiency, environmental friendliness, and renewable energy accommodation capacity, this paper proposes a bi-level coordinated scheduling model based on the Stackelberg game and the GMO. A leader-follower game model incorporating carbon emission constraints and multi-scenario stochastic constraints for photovoltaic generation is constructed, with the grid operator as the leader and EVs/V2G and energy storage as the followers, resolving the core contradiction between global optimization and individual rationality. The spatio-temporal stochastic characteristics of EV travel, the cycle life of energy storage …

Energy Management Method For Integrated Energy Driven By Users’ Social Attributes, Yankai Zhu, Yujing Huang, Qinghua Wang, Xiaoning Zhang, Fang Fang, Yuguang Niu

Journal of System Simulation

Abstract: To explore a new interaction mechanism between an energy service provider (ESP) and multiple users, this paper proposes a complex modeling and energy management method for integrated energy systems driven by users' social attributes. A multi-agent interaction framework comprising an ESP and user clusters is established. To maximize the ESP's operational benefit and minimize users' energy costs, a leader-follower game-based energy management model is established within a reinforcement learning framework, and a distributed collaborative solution algorithm combining Q-learning and quadratic programming is proposed. Simulation results show that, compared with the traditional integrated demand response method, consideration of users' social …

Missing-Data-Tolerant Diffusion-Based Wind Power Scenario Forecasting Method, Yingying Shi, Xiaochong Dong, Guobin Fu, Miaomiao Ma, Yanhe Li, Xuebin Wang

Journal of System Simulation

Abstract: To address the issue of error accumulation in traditional "imputation-then-forecasting" approaches, a missing data tolerant diffusion framework (MDTDF) is proposed. An XGBoost regression model is employed to map numerical weather prediction data into deterministic power forecasts. The encoder in the denoising network extracts temporal features, which are fused with the deterministic forecasts and fed into the decoder through a cross-attention mechanism to guide the denoising process. A historical constraint mechanism is introduced to directly utilize incomplete historical data and dynamically correct the denoising result at each step through sample gradient updates and noise injection guided by historical information. The …