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2026

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Intrinsic Memory In Digital Snns: Enhancing Performance On The Cart-Pole Task With Fractional-Order Dynamics, Niklas Karl Anderson Aug 2026

Intrinsic Memory In Digital Snns: Enhancing Performance On The Cart-Pole Task With Fractional-Order Dynamics, Niklas Karl Anderson

Dissertations and Theses

Researchers working with Spiking Neural Networks (SNNs) are faced with the challenge of identifying useful biologically plausible features for inclusion in neuron models. Prior research indicates that dynamics of fractional-order calculus, which impart a form of intrinsic memory, are a key feature of biological neurons. In this work, we present the development and usage of neural networks with intrinsic memory in application to the cart-pole task, a common benchmark for neural network performance. We found that usage of fractional-order neurons may allow for up to a 37.5% reduction in neural network size as compared to networks using a standard Leaky …

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The Influence Of Urban Form On The Distribution Of Air Pollutants, Takin Khosrownia Aug 2026

The Influence Of Urban Form On The Distribution Of Air Pollutants, Takin Khosrownia

Dissertations and Theses

Urban form exerts strong control on how pollution from outside a city is transported through the urban canopy and experienced at street level. This study uses the prognostic microclimate model ENVI-met to simulate an active pollutant released from an upwind rural highway and advected through an urban region represented by ten Local Climate Zone (LCZ) types. The cases share identical inflow and are isothermal, dry, and non-vegetated, so that differences among them are attributable to building morphology alone. PM2.5 is the primary exposure diagnostic. Its transport and ejection are characterized through plan-view contours, vertical plume sections, and spatially averaged streamwise …

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Not Quite Foreign, Never Fully Belonging: Racialization Of Southbound Policy Students In Taiwan, Garima Jha Aug 2026

Not Quite Foreign, Never Fully Belonging: Racialization Of Southbound Policy Students In Taiwan, Garima Jha

Journal of Comparative & International Higher Education

This paper critically examines how race and racialization shape the socio-cultural adjustment experiences of international students from New Southbound policy (NSP) countries in Taiwan. Drawing from a qualitative part conducted for my master’s thesis, which explored the coping strategies and adjustment processes of seven students from Southeast and South Asia through semi-structured interview, I reframe the data to center race as an analytical lens using the conceptual framework proposed by Glasgow (2009) which explains that racialization as the process through which social meanings are attached to perceived cultural or bodily differences, creating and maintaining hierarchies among groups. and Brondolo et …

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Transnational Racialization: An Exploratory Case Study Of Asian International Students In U.S. Higher Education, Jia Zheng, Kristyn Lue Aug 2026

Transnational Racialization: An Exploratory Case Study Of Asian International Students In U.S. Higher Education, Jia Zheng, Kristyn Lue

Journal of Comparative & International Higher Education

This exploratory case study examines the transnational racialization experiences of 14 ethnically diverse Asian International Students (AIS) studying abroad in the U.S. Using International Student Critical Race Theory to foreground the contexts of participants’ home countries, we ask: What are AIS’s experiences with transnational racialization? Findings suggest that AIS are socialized to the racial dynamics of the U.S. through: (1) the different contexts of their home countries, (2) their specific social positioning within these contexts, (3) the influence of Western narratives across the globe, and (4) their academic communities in the U.S. Our findings advance theoretical perspectives on racialization in …

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Race, Racism, And Racialization In International Higher Education: A Transnational And Mobility-Aware Approach, Benjamin Denga, Louise Michelle Vital Aug 2026

Race, Racism, And Racialization In International Higher Education: A Transnational And Mobility-Aware Approach, Benjamin Denga, Louise Michelle Vital

Journal of Comparative & International Higher Education

Race, racism, and racialization are increasingly recognized as central to understanding inequality in global higher education. Yet dominant frameworks in comparative and international higher education remain nationally bounded and citizenship-centered, offering limited insight into how race operates under conditions of mobility, legal temporariness, and transnational governance. As internationalization intensifies through student mobility, cross-border partnerships, and global knowledge circulation, racialized experiences are shaped by visa-dependent status, differential protection, global racial imaginaries and discourses, uneven or unequal geopolitical relations and institutional logics of internationalization (including marketization, risk management and revenue extraction). In this conceptual article we argue that race and racialization in …

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Modeling Stellar Structure: Comparing Numerical Solutions Of The Lane-Emden Equation, Jasman Jasmanjot, Bailey Dale, Ryan Dickey Aug 2026

Modeling Stellar Structure: Comparing Numerical Solutions Of The Lane-Emden Equation, Jasman Jasmanjot, Bailey Dale, Ryan Dickey

Discovery Day - Daytona Beach

The Lane-Emden equation is a differential equation that is often used in astrophysics to describe the distribution of the density inside a star, and by extension, its pressure distribution. Analytic solutions of the Lane-Emden equation can only be found at polytropic indices n = 0,1,5, matching certain physical conditions. For all other polytropic values, a numerical solution is needed. In this work, a comparison between two numerical schemes for solving the Lane-Emden equation is presented, namely the Euler method and the classical 4th order Runge-Kutta method. The accuracy of these models is first compared to the cases with known analytical …

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Determinants And Invertibility In Finite Modular Systems, Osasu Omobude Aug 2026

Determinants And Invertibility In Finite Modular Systems, Osasu Omobude

Discovery Day - Daytona Beach

This project investigates determinants and matrix invertibility in finite modular systems, focusing on matrices over Zn. Using the Hill cipher as context, it examines the algebraic conditions under which a matrix is invertible in modular arithmetic. In particular, the project studies how the determinant determines invertibility, showing that a matrix over Zn is invertible if and only if its determinant is coprime with n.   The project further compares invertibility over the real numbers with invertibility over modular systems, highlighting the distinction between prime moduli Zp and composite moduli. In the prime case, matrices behave similarly to those over fields, where …

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Designing Process-Focused Feedback For College Writers Using Genai, Beata Blood, Maissane Aik, Zoey Zaldivar Aug 2026

Designing Process-Focused Feedback For College Writers Using Genai, Beata Blood, Maissane Aik, Zoey Zaldivar

Discovery Day - Daytona Beach

As generative AI tools like ChatGPT become more common in higher education, writing instructors face the challenge of guiding students toward effective and ethical use, particularly in asynchronous environments where immediate feedback is limited. This presentation reports on an exploratory study that addresses this challenge by shifting attention from AI’s outputs to students’ moment-by-moment writing processes. Grounded in applied linguistics approaches to writing research and process-tracing methods, the project employed case studies with both expert and novice users of GenAI. Expert participants, including academics and industry professionals, completed writing tasks while integrating AI into their workflows. Their sessions were recorded …

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Eliminating Range Constraints For Optical Tracking Of Sub-10 Cm Orbital Debris, James Kirk Aug 2026

Eliminating Range Constraints For Optical Tracking Of Sub-10 Cm Orbital Debris, James Kirk

Discovery Day - Daytona Beach

The growing population of orbital debris, including a significant amount of debris ranging from 1 to 10 cm, has substantially increased the risk to satellites. Due to the sheer number and high velocities, debris ranging from 1 to 10 cm still has the ability to cause mission-ending damage while remaining undetectable by ground-based detection facilities. This study utilizes the NASA Standard Satellite Breakup Model (NASA SSBM), combined with MATLAB, to propagate debris clouds over extended durations, enabling the identification of high-detection zones and debris rings. Using the modeled spacecraft environment, a satellite was positioned below the debris ring altitudes. Lowering …

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Numerical Modeling Of Thermo-Poroelasticity Using Finite Element Method, Maya Mckean Aug 2026

Numerical Modeling Of Thermo-Poroelasticity Using Finite Element Method, Maya Mckean

Discovery Day - Daytona Beach

We propose a numerical method for solving and modeling thermo-poroelasticity problems using a finite element formulation. Thermo-poroelasticity models describe the coupled interaction between mechanical deformation, fluid flow, and heat transfer in specific materials or environments over time. These models demonstrate the evolution of displacement, pressure, and temperature; we compute these fields in this work using backward Euler time discretization and Enriched Galerkin finite element spatial discretization. For these computations we used FreeFEM, a partial differential equation solver that uses the finite element method, which produced our numerical results. We then compared these values with the expected analytical solution. This was …

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Numerical Methods For Nonlinear Problems Using The Finite Element Method, Logan Price Aug 2026

Numerical Methods For Nonlinear Problems Using The Finite Element Method, Logan Price

Discovery Day - Daytona Beach

Numerical Methods for Nonlinear Problems Using the Finite Element Method is a computational mathematics capstone that builds and tests finite element method (FEM) workflows for nonlinear partial differential equations in FreeFEM++, with ParaView used for visualization. Two nonlinear model problems are used to demonstrate the approach. The first is a semilinear reaction-diffusion equation with a cubic nonlinearity. A manufactured solution is used so accuracy can be checked at a fixed final time, and refinement studies in both time step and mesh size are run while nonlinear iteration counts are tracked to show solver effort. The second problem is the steady …

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Estimating The Effects Of Dark Matter Capture On The Sun Using Asteria And Analytic Stellar Scaling, Skylar G. Butler Aug 2026

Estimating The Effects Of Dark Matter Capture On The Sun Using Asteria And Analytic Stellar Scaling, Skylar G. Butler

Discovery Day - Daytona Beach

We investigate how the internal structure of the Sun would change if dark matter particles were present at densities predicted by Galactic halo models. Dark matter capture rates were computed using the Python code Asteria, which implements the multi-element capture formalism of Gould (1987) to determine the rate at which dark matter particles scatter and become gravitationally bound inside the Sun. Because Asteria calculates only the capture rate, we developed a post-processing Python-based analysis to estimate the resulting physical effects using analytic scaling relations from previous solar dark matter studies. These relations were used to compute the effective dark matter …

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Measuring Lyman Continuum Photon Luminosity In H Ii Regions, Brianna Johnshon Aug 2026

Measuring Lyman Continuum Photon Luminosity In H Ii Regions, Brianna Johnshon

Discovery Day - Daytona Beach

This project focuses on measuring the Lyman continuum photon luminosity (Lc) of diffuse H II regions using multi-line observations from the Wisconsin H-Alpha Mapper (WHAM). Previous work by Sahan & Haffner (2016) analyzed the λ Ori region in Hα, [S II], and [N II], which I build on by refining assumptions about distance, extinction, and background emission, as well as extending the analysis to additional regions such as Perseus. To define the extent of each H II region, I identify the brightest Hα beam and select surrounding beams within 0.25σ of that peak. I then applied two different approaches to …

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Classification Of Sequential Factors In Aviation Accident Cause Prediction, Sophia Nasca, Addyson Wolfe Aug 2026

Classification Of Sequential Factors In Aviation Accident Cause Prediction, Sophia Nasca, Addyson Wolfe

Discovery Day - Daytona Beach

Uncovering the root causes of aviation accidents is a critical component of improving aviation safety. Traditional approaches are largely reactive, relying on post-incident analysis rather than proactively identifying risk factors. This project addresses the need for proactive safety by using a multi-source dataset that integrates aviation accident records, weather conditions, and maintenance data extracted from investigative reports. The objective of this work is to move beyond predicting broad probable causes and instead model the sequence of contributing factors that lead to aviation incidents. Using the Swiss Cheese Model, the study will capture layered failures across operational, environmental, and maintenance domains. …

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Low-Complexity Polynomial Ring Learning For Quantum Space Assets, Lola Torres Aug 2026

Low-Complexity Polynomial Ring Learning For Quantum Space Assets, Lola Torres

Discovery Day - Daytona Beach

Secure communication for space-based systems requires cryptographic methods that remain both reliable and efficient under strict computational constraints. This work investigates a low-complexity polynomial ring learning algorithm designed for quantum space assets, including satellite–ground communication systems. The project focuses on post-quantum cryptographic principles, where encryption and decryption rely heavily on repeated polynomial operations; this can be computationally expensive with constrained platforms. This is addressed with reformulating polynomial multiplication as a structured linear transformation on coefficient vectors. By representing these operations as matrices with a cyclic structure, the structure allows the use of the discrete Fourier transform (DFT); this will simplify …

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M.O.D.U.S. Modular Optical Design Using Specular Film, Mario Gutierrez, Robert Thibodeau, Emma Show, Desiree Robinson, Lingyuan Meng, Sean Martin, Conner Beeson Aug 2026

M.O.D.U.S. Modular Optical Design Using Specular Film, Mario Gutierrez, Robert Thibodeau, Emma Show, Desiree Robinson, Lingyuan Meng, Sean Martin, Conner Beeson

Discovery Day - Daytona Beach

High-quality parabolic mirrors, which are vital components in reflecting telescopes, are typically bulky, costly, and highly fragile. This experiment explores the feasibility of using specular Class B Mylar as an unconventional, lightweight, and cost-effective alternative. This approach could enable new telescope designs by greatly reducing weight and manufacturing expenses, while also opening options for potential adaptability.   This approach involves using Mylar, a flexible, reflective style of plastic. The mylar is formed into a concave mirror by stretching a sheet over a chamber and depressurizing one side to force the sheet into the necessary curved shape. Multiple designs are being created …

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Quantitative Mapping And Mitigation Of Light Pollution At Erau, Desireé Robinson, Marcus Flesher, Axon Deadrick, Conner Callahan, Jarrett Usui, Josef Kaelin, Douglas Griswold, Raiden Keefer, Harrison A. Zimmermann, Cole Gresham, Maya Curtis, Ahnika Gee Aug 2026

Quantitative Mapping And Mitigation Of Light Pollution At Erau, Desireé Robinson, Marcus Flesher, Axon Deadrick, Conner Callahan, Jarrett Usui, Josef Kaelin, Douglas Griswold, Raiden Keefer, Harrison A. Zimmermann, Cole Gresham, Maya Curtis, Ahnika Gee

Discovery Day - Daytona Beach

Light pollution is an increasingly urgent environmental and public safety concern that affects energy costs, astronomical research, ecological systems, human health, and aviation. At Embry-Riddle Aeronautical University (ERAU), artificial lighting from campus infrastructure and adjacent airport operations contributes to elevated skyglow, limiting the performance of the university’s 1-meter telescope and degrading the nighttime environment. This project seeks to quantitatively map and analyze light pollution across the ERAU Daytona Beach campus using custom-built Sky Quality Meters (SQMs) integrated with environmental sensors and mounted on an unmanned aerial system (UAS). By collecting calibrated sky brightness measurements at multiple altitudes and geospatial coordinates, …

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The Mystery Of Ngc2264-196'S Pulsation, Matthew Hernandez, Jadia Renee Ewing, Leila Alamos, Jacob R. Romeo, Kaelyn Weddle, Divyeshwari Vansadia, Thomas Matney, Marcus Flesher, Desiree Robinson, Alexandra Beianu Aug 2026

The Mystery Of Ngc2264-196'S Pulsation, Matthew Hernandez, Jadia Renee Ewing, Leila Alamos, Jacob R. Romeo, Kaelyn Weddle, Divyeshwari Vansadia, Thomas Matney, Marcus Flesher, Desiree Robinson, Alexandra Beianu

Discovery Day - Daytona Beach

Matthew Hernandez, Jadia R. Ewing, Leila Alamos, Jacob Romeo, Kaelyn Weddle, Vansadia, TJ Matney, Maybelline A. Flesher, Desiree Robinson, Alexandra Beianu Faculty Mentor: Dr. Stephen D. Gillam Department of Physical Sciences Embry-Riddle Aeronautical University, Daytona Beach, FL USA.   March 2026 This study investigates the pulsation characteristics of NGC 2264-196, a chemically peculiar star within the young open cluster NGC 2264. Classification as a suspected Rapidly Oscillating Ap (roAp) star is supported by its spectral type (F5/7) and the recurring detection of a pulsation frequency near 3.01~ mHz. Photometric data was obtained over eight recorded oscillations: 121520UT, 111923UT, 070124UT, 080124UT, 012525UT, …

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Small Uas Detection: Threat Intelligence & Risk Management Project, Tyler Johnson Aug 2026

Small Uas Detection: Threat Intelligence & Risk Management Project, Tyler Johnson

Discovery Day - Daytona Beach

The TRANSPORTATION SECURITY ADMINISTRATION / FEDERAL AIR MARSHAL SUAS DETECTION: THREAT INTELLIGENCE & RISK MANAGEMENT PROJECT addresses the emerging safety and security challenges posed by the rapid growth of small Unmanned Aircraft Systems (sUAS) in complex airspace environments. This study analyzed 92 days of sensor-captured Remote Identification (RID) data collected near Fort Lauderdale-Hollywood International Airport (FLL) to assess operational behaviors, aviation risk, and ground risk associated with drone activity. The primary objective of this research is to identify patterns of unauthorized or hazardous sUAS operations to enhance situational awareness and inform actionable risk-mitigation strategies. The analysis identified 335 flights from …

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Stability Through Chaos: Atmospheric Impact And Control Strategies For Laser Communication, Om Acharya, Mykailla Harper, Mark Vanberschot, Aldir Moreira Aug 2026

Stability Through Chaos: Atmospheric Impact And Control Strategies For Laser Communication, Om Acharya, Mykailla Harper, Mark Vanberschot, Aldir Moreira

Discovery Day - Daytona Beach

Study of Atmospheric Effects and Mitigation Strategies in Free-Space Optical Communication Systems examines the fundamental limitations imposed by atmospheric disturbances on point-to-point laser communication links and evaluates methods to improve link reliability and performance. Free-space optical communication offers high data rates and reduced spectral congestion compared to radiofrequency systems, but its effectiveness is constrained by atmospheric effects including turbulence-induced scintillation, beam wander, absorption, and scattering. These phenomena introduce fluctuations in signal intensity and pointing errors, leading to degraded link stability and increased bit error rates. The work analyzes these atmospheric effects and investigates mitigation strategies that enhance optical link robustness …

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Construction Of A Radio Jove Telescope For Low-Frequency Radio Astronomy Observations, Lola G. Torres, Elizabeth Loughry, Raaid Baloch, Benjamin Fisher, Gannon English, Poorvaja Panneerselvan, Andrew Wright, Braedyn Hodges Aug 2026

Construction Of A Radio Jove Telescope For Low-Frequency Radio Astronomy Observations, Lola G. Torres, Elizabeth Loughry, Raaid Baloch, Benjamin Fisher, Gannon English, Poorvaja Panneerselvan, Andrew Wright, Braedyn Hodges

Discovery Day - Daytona Beach

Radio JOVE, a NASA-supported citizen science project, provides a framework for studying planetary magnetospheres and solar activity through radio observations. The primary goal of this project is to construct a Radio JOVE telescope system to enable undergraduate observation and analysis of low-frequency radio emissions from Jupiter and the Sun. The antenna system will be constructed considering real-world effects to ensure accurate signal detection. The resulting system will generate radio spectrograms that capture time-dependent signal intensity, identifying any Jovian radio bursts and solar radio emissions. These observations will be used to investigate plasma interactions, and space weather relations associated with both …

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Contrasting Coastal Dune Environments In Chile, Aurora Christianson Aug 2026

Contrasting Coastal Dune Environments In Chile, Aurora Christianson

Discovery Day - Daytona Beach

Emerging coastalization and urbanization threats to the prehistoric Concón Dunes and Humedal de Mantagua coastal area of Chile is being investigated by researchers via uncrewed aircraft systems (UAS) in "Contrasting Coastal Dune Environments in Chile." Four UAS were utilized: Anzu Raptor T, DJI Mavic 3E, DJI Mavic 3M, and DJI Air 3 to collect various images of the coastal dunes. Multispectral and RGB cameras gather images by photogrammetry to create orthomosaics and monitor vegetation indexes in Pix4Dmapper. Thermal cameras provided images in rainbow, white hot infrared, and black hot infrared schemes to monitor wildlife and vegetation. The normalized difference vegetation …

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Quantifying The Effect Of Metallicity On Stellar Properties And Evolutionary Timescales, Jacob Becker Aug 2026

Quantifying The Effect Of Metallicity On Stellar Properties And Evolutionary Timescales, Jacob Becker

Discovery Day - Daytona Beach

Stellar age estimations derived from asteroseismology depend on stellar models that are sensitive to metallicity (Z). Variations in this parameter could alter the agreement between gyrochronological and asteroseismic ages, as well as main sequence lifetimes and observational properties such as effective temperature and luminosity. We test how much typical metallicity differences (±0.2 dex) affect main-sequence models of solar-type stars. Using MESA, evolutionary tracks are created for 1 M☉ stars at three metallicities (Z = 0.009, 0.014, 0.022), and it is measured how these changes shift the positions of the zero-age main sequence and the corresponding main sequence lifetimes. This work …

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How Ai Influences The Design Process Of Unmanned Underwater Vehicles’ (Uuvs) 3d Sonar System, Eden Tsouklaris, Abriella Smith, Brianna Broderick, Carissa Aumack, Victoria Cornaro Aug 2026

How Ai Influences The Design Process Of Unmanned Underwater Vehicles’ (Uuvs) 3d Sonar System, Eden Tsouklaris, Abriella Smith, Brianna Broderick, Carissa Aumack, Victoria Cornaro

Discovery Day - Daytona Beach

With the exponential growth of Artificial Intelligence (AI), user interface (UI) designers have explored using AI to shorten design time. This study assessed the effectiveness of UIs designed with AI programs versus manual methods for an Unmanned Underwater Vehicle (UUV) control system. Participants were tasked with designing an interface that would allow submarine operators to monitor and coordinate three UUVs repairing a severed underwater communication cable at a depth of 2,000 meters. The scenario presented several operational challenges (zero visibility, sonar-only perception, data latency, and potential system degradation), requiring participants' designs to maintain spatial awareness and support remote repair tasks. …

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High Tempo Air Operations, Joseph Lipson, Brennan Flanagan, Trevor Sterbens, Brandon Godfrey, Jeremiah Sepich Aug 2026

High Tempo Air Operations, Joseph Lipson, Brennan Flanagan, Trevor Sterbens, Brandon Godfrey, Jeremiah Sepich

Discovery Day - Daytona Beach

Aircraft carrier flight decks are one of the most dangerous work environments in the world, where dozens of aircraft must be moved, fueled, and armed within strict time limits. Currently, Flight Deck Handling Officers track aircraft positions using a physical board with wooden pucks that can be knocked out of place or become outdated during fast-moving operations. This study looks at whether using AI tools helps people design a better digital version of this tracking system. Participants with little design experience were randomly selected and then randomly assigned to one of two groups — one that could use AI tools …

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Humans Vs. Ai: Comparing Approaches To Disaster Response Interface Design, Kelly Nguyen, Olivia Hartmann, Kailey Hrbek, Madeline Nees, Gabrielle Roth, Emily Silliman Aug 2026

Humans Vs. Ai: Comparing Approaches To Disaster Response Interface Design, Kelly Nguyen, Olivia Hartmann, Kailey Hrbek, Madeline Nees, Gabrielle Roth, Emily Silliman

Discovery Day - Daytona Beach

Amphibious emergency support operations involve rapidly changing information, high stress, and significant cognitive demands, which can make decision-making and situation awareness more difficult for operators. When interfaces are poorly designed, they can contribute to issues such as alarm flooding, confusion from incomplete information, and delayed responses, all of which increase operational risk during time-critical disaster situations. This study explores whether using generative AI to assist with interface design will improve performance (output quality and effort) and usability compared to a manual sketch mock-up. Participants were asked to design a dashboard interface to support disaster relief operations following a Category 5 …

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Evaluating The Impact Of Ai-Assisted Tools On Novice Interface Design For Combat Search And Rescue Operations, Louis Pandolfo, Kaylee H. Akerlund, Cassidi Ellison, Sierra Martinez Aug 2026

Evaluating The Impact Of Ai-Assisted Tools On Novice Interface Design For Combat Search And Rescue Operations, Louis Pandolfo, Kaylee H. Akerlund, Cassidi Ellison, Sierra Martinez

Discovery Day - Daytona Beach

Combat Search and Rescue (CSAR) operations are specialized military missions with the goal of rescuing personnel from hostile territory, often involving helicopters and elite teams tasked with locating and stabilizing survivors. It is imperative to a mission's success that any interface used by rescuers is efficient and usable, as they work under high risk, high stress, and time limited conditions. This study examined how access to artificial intelligence (AI) design tools influence novice interface design under a time constraint. Participants completed an interface design exercise based on a simulated U.S. Navy maritime disaster and CSAR mission. The overall aim of …

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Analytical And Numerical Solutions For The Hydrogen Atom, Kassidy Myers Aug 2026

Analytical And Numerical Solutions For The Hydrogen Atom, Kassidy Myers

Discovery Day - Daytona Beach

The Schrödinger equation is the foundational equation of non-relativistic quantum mechanics. The hydrogen atom is the simplest system for solving this equation, as it consists of only one proton and one electron. In this project, we work on the Schrödinger equation that models the spherically symmetric states of the hydrogen atom that depend only on the radial coordinate. We simplified and nondimensionalized the radial equation and solved the resulting equation using a power series (Frobenius) method. This approach revealed the physically meaningful solutions and led to quantized energy levels. In addition to finding the analytical solution, we numerically solve the …

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Ai-Driven Scheduling Algorithms For Private Aviation, Tayan Benson, Jessica Buskey, Gabriel Camacho, Caitlyn A. Gabrinowitz Aug 2026

Ai-Driven Scheduling Algorithms For Private Aviation, Tayan Benson, Jessica Buskey, Gabriel Camacho, Caitlyn A. Gabrinowitz

Discovery Day - Daytona Beach

Private aviation scheduling is complex and dynamic, requiring frequent aircraft repositioning based on demand and operational constraints, unlike fixed commercial airline schedules. As fleets grow beyond 300 aircraft, traditional deterministic methods become too slow, leading to the use of approaches such as genetic algorithms, but neural network-based methods have not seen in-depth exploration. This project models aircraft scheduling as a network, where airports and flights form a graph. It explores advanced AI methods, including graph neural networks and spatio-temporal graph neural networks (STGNNs), to capture both network structure and time constraints. The goal is to generate efficient daily schedules from …

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Generative Ai For Decision Making In The Manufacturing Systems, Xingyu Li Aug 2026

Generative Ai For Decision Making In The Manufacturing Systems, Xingyu Li

MMRL-XMO Industrial Seminar

Manufacturing systems increasingly demand real-time, multi-objective, and human-aligned decision-making that existing approaches cannot provide. In this study, we introduce the Generative Manufacturing System (GMS), a paradigm that reframes manufacturing decisions as samples from a learned conditional distribution, replacing inference-time search in the existing optimization-based approaches. Two instantiation examples are presented in manufacturing decision-making, including layout design and production scheduling, using domain-adapted diffusion models conditioned on operational constraints and human preferences. Experiments demonstrate 100% feasibility, near-zero objective matching error, and 25x decision making speed gain, establishing generative AI as a scalable, efficient, and human-centric decision-making engine for modern manufacturing systems.

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