Aviation Commons^™

Demonstrating Sysml V2’S Utility With Syside And Syson For Systems Modeling, Quinn Galen

Student Research Symposium (SRS)

This study highlights the practical utility of SysML v2’s kernel language, a formal, text based foundation for consistent, cross tool model definitions, in Model Based Systems Engineering (MBSE), using Air Traffic Management (ATM) as an illustrative example. SysIDE, an open source textual editor, enables rapid model creation with the kernel’s concise syntax, allowing users to define system components and behaviors (e.g., ATM radar or flight path interactions) with real time validation. SysON, a web based graphical tool, complements this by facilitating collaborative visualization of system architectures. Using ATM as an example case, we can showcase how the kernel language enhances …

Artificial Intelligence In Aviation: Benefits, Concerns, And Regulations, Aarohi Srivastava

Student Research Symposium (SRS)

As artificial intelligence (AI) becomes increasingly integrated into aviation systems, understanding its implications for safety and regulation is critical. This research examines the current state of AI implementation in aviation, exploring both transformative benefits and significant concerns in this high-stakes environment. AI's strengths, including rapid large-scale data processing, predictive capabilities, and pattern recognition, offer substantial operational advantages. However, these benefits must be balanced against key concerns including liability issues, potential loss of pilot competency through over-reliance, the "black box" problem of AI explainability, emergent system behaviors, and training requirements.  This project analyzes current regulatory frameworks from major aviation authorities including …

Enhancing Aviation Safety: A Framework For Predictive Maintenance Using Generative Data Augmentation And Uncertainty Quantification, Muhammad Najjar

Student Research Symposium (SRS)

Predictive maintenance is a critical component of aviation safety, yet the development of accurate data-driven models is often hindered by the severe class imbalance inherent in real-world flight data; healthy flights are abundant, while flights preceding a failure are rare. This imbalance biases machine learning models, leading to poor detection of critical maintenance needs. This project addresses this challenge by leveraging the NGAFID aviation maintenance dataset to develop and validate an integrated predictive framework. We propose training a Time-series Generative Adversarial Network (TimeGAN) to synthesize high-fidelity, realistic "pre-maintenance" flight data. This synthetic data is used to create a balanced training …

Ergonomics Of A Pilot Workstation And Aircraft Interactions On A Cessna 172 Nav Iii, Nicole Beaulieu

Student Research Symposium (SRS)

This study analyzes the ergonomic aspects of the Cessna 172 Navigator III, a common flight training aircraft. The research investigated the interactions between pilots and the aircraft, focusing on pilot fatigue, workstation design, anthropometric data, and pilot interactions with controls. The study included surveys, interviews, and anthropometric measurements involving three pilots with varying experience levels, alongside physical measurements of the cockpit and a workstation ergonomic assessment.. Participants reported issues with limited physical space, particularly impactful to the pilot’s posture and ability to manipulate controls. Display visibility and interaction were areas of concern, often requiring pilots to lean in awkward postures. …

An Exploration Of Aviation Safety And Security Culture In Nigeria And The United Arab Emirates (Uae), Nicholas Degarmo, Kathrine Lopez, Hana Marz, Cedric Leon, Michael Chrisman

Student Research Symposium (SRS)

Aviation safety and security standards are fundamental for enabling the reliability and sustainability of aviation operations. Aviation safety and security are influenced by organizational and institutional standards, as well as the application of human factors principles. This paper aims to explore the regional variances of aviation safety and security culture within Nigeria and the United Arab Emirates (UAE). Both regions have taken great steps to align with international aviation standards, offering insight into how different regions shape their regulatory environments, organizational culture, and how cultural factors affect safety and security practices. While Nigeria continues to face challenges such as inconsistent …

Mitigating Uas Airspace Risks Through Policy Innovation, Christopher Daniel Sidor

Student Research Symposium (SRS)

Uncrewed Aircraft Systems (UAS), commonly known as drones, have become an everyday part of our lives. Once a technology reserved for the defense industry, UAS are now widely available and affordable in the commercial market. These systems have been used for intelligence, surveillance, and reconnaissance (ISR) missions, route mapping, and kinetic deployment of munitions. In modern warfare, drones have been at the forefront, leveraging new tactics, techniques, and procedures to enhance lethality and destruction. The integration of fiber-optic (FO) connected drones, first-person view (FPV) technology, and 3D printed munition-dropping devices in particular demonstrates a dire need for legislative intervention. These …

The Wildlife Intelligence For Aviation Safety (Wild-Ai), Bao Khoa Tran

Student Research Symposium (SRS)

Wildlife strikes pose a significant safety risk and economic burden to the aviation industry. Over 291,000 strikes have been reported in the U.S. since 1990, causing an estimated $248 million in annual losses. The Wild-AI (Wildlife Intelligence for Aviation Safety) project leverages cutting-edge technologies, including large language models (LLMs), machine learning (ML), explainable AI (XAI), and Unmanned Air Vehicles (UAV) imagery, to enhance wildlife hazard management at airports. Wild-AI transforms traditional Wildlife Hazard Assessments (WHAs) by integrating advanced data analytics and UAV monitoring. By utilizing historical wildlife-strike data and ML algorithms, we will identify key predictors of damaging strikes, such …

Enhancing Wildlife Strike Risk Assessment Through Large Language Model–Driven Data Analysis, Bill Deng Pan

Student Research Symposium (SRS)

Wildlife strikes remain a persistent safety and economic concern across global aviation operations, highlighting the need for advanced analytical methods to improve risk assessment and mitigation. Traditional statistical approaches to wildlife-strike data, while effective for structured variables such as altitude, phase of flight, or aircraft type, often overlook valuable insights embedded in the unstructured narrative components of strike reports. This study proposes the application of Large Language Models (LLMs) for the automated extraction, classification, and interpretation of information within the Federal Aviation Administration (FAA) Wildlife Strike Database. Using natural language processing (NLP) techniques, LLMs will be utilized to identify key …

Polar Reconnaissance & Imagining Survey (Polaris), Max Brooks, Zion Carpenter, Isabel La Coss

Student Research Symposium (SRS)

In preparation for the permanent human presence on the lunar south pole as part of the ARTEMIS Accords, planned human excursions will conduct science on regions of interest to locate resources for sustained habitation. The objective of the Polar Reconnaissance & Imaging Survey simulation is to take a predetermined region sized image of a planned astronaut excursion site to identify terrain features and threats. This shall be a satellite mission control (MCC) simulation with four Earth-based satellite console operators, and one moon-based EVA encompassing.

Injuries And Accidents On Airport Ramps, Kavya Banarjee

Student Research Symposium (SRS)

Media coverage of aircraft incidents/accidents often triggers public scrutiny and heightened anxiety. But behind that are injuries and fatalities caused on the airport ramps; incidents like these are rarely covered by the media but pose just as much of a safety concern as an aircraft incident. This paper aims to inform aviation industry professionals and airline executives about the causes of incidents and accidents on the airport ramp; it also covers the importance of finding and implementing solutions for safety. The methodology for this paper focuses on research and analysis of publicly available information. Relevant data and perspectives were gathered …

Crew Resource Management Analyzed In Guyana Military Accident, Kaylee Lall

Student Research Symposium (SRS)

"In December 2023, a Guyana Defence Force Bell 412EP helicopter crashed in mountainous jungle terrain near the Venezuela border, killing five of the seven personnel on board. Preliminary investigation findings indicate the probable cause of the accident was pilot error, rather than mechanical failure. Due to deteriorating weather conditions, the crew deviated from the standard route and elected to fly under visual flight rules (VFR) along the Mazaruni River. The combination of limited visibility, rising mountainous terrain, and potential spatial disorientation likely contributed to this controlled flight into terrain.

This case study applies the SHELL model to analyze the interactions …

Contrasting Coastal Dune Environments In Chile, Aurora Christianson

Student Research Symposium (SRS)

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). 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 index (NDVI) was calculated to visualize overall …