World Tour: Campus Edition

Grab a passport from one of the locations below and travel to the 7 continents around campus to get your passport stamped! Map included inside passports to show locations. Turn in your completed passport to ERNIE Central for a chance to win an International Snack Box. Passport Pickup Locations: ERNIE Central LB 170 - COE Advising Tomcat 250 - Parent and Student Programs Tomcat 260 - COA Advising NR3-174 - Veterans Service

Downwind Turn

Downwind Turn tells the story of Eli, a former Army helicopter crew chief now working in the civilian aerospace world. After a routine test flight, he finds himself unsettled by memories he thought he had buried. When an old friend from his deployment days shows up unexpectedly, their conversation brings long-suppressed emotions to the surface. Set against the backdrop of flight lines and desert heat, the story explores the quiet weight of trauma, the bonds forged in war, and the moment when holding on starts to hurt more than letting go

Antenna Multi-Band Enhancement by Employing Negative Impedance Converters

This thesis presents the implementation of a Negative Impedance Converter (NIC) integrated with a planar monopole antenna, originally centered at 2.9 GHz, to create a multi-band network. The network exhibits resonances at frequencies of 0.9 GHz, 1.5 GHz and 1.9 GHz. The work highlights the design process of pairing a NIC with a capacitive, single-band antenna, addressing key challenges such as overcoming the limitations associated with low self-resonant frequency (SRF) inductors. The design process included the use of measurement-based component models and radio-frequency simulations using Keysight Advanced Design Systems (ADS). The developed NIC emulates a -0.99 pF capacitor using two BFR93A transistors. The boards were fabricated on Rogers RT/duroid 5880, laser machined using a picosecond laser and subsequently tested for its scattering parameters. Performance measurements at both, without DC bias and 10 V, revealed a notable difference in matching between the active and passive states, confirming that the NIC effectively supersedes the passive matching of its components

Understanding the Incidents on Legacy Airlines with Explainable Artificial Intelligence and Text Mining: Case Study Top 5 US Airlines

Aircraft incident data from the Federal Aviation Administration between 1978-2023 was analyzed for the top five airlines in the United States: Delta Air Lines Inc., American Airlines Inc., Alaska Airlines Inc., Southwest Airlines Co., and United Airlines Inc. This analysis aimed to predict conditions with a higher chance of causing injury and determine the best machine-learning model for this prediction. The target variable of injuries occurred is processed through machine learning methods such as Naïve Bayes, logistic regression, and XGBoost. This was to predict the injuries and understand and explain the complex fault mechanism with explainable artificial intelligence. The XGBoost model gave the best predictive performance at 93% receiver operating characteristic, 84.4% precision, and 88.2% recall. This provided insights into improving safety in the aviation industry. It contributed to the literature by predicting injuries in legacy airlines, explaining the patterns that create incidents, and creating prescriptions to reduce injuries that happen on airlines using explainable machine learning and text-mining models

Clewiston Civic Park - Remembering Riddle Field

Clewiston Civic Park spans 4.14 acres of beautifully landscaped grounds in the heart of town, offering a peaceful setting with walking paths, a playground, picnic tables, and inviting swings that line the walkways. At the center of the park, stands a memorial honoring the WWII British Cadets who were at 5BFTS (Riddle Field) between 1941 and 1945, adding historical significance to this charming community space.https://commons.erau.edu/bfts-images-riddle-field/1006/thumbnail.jp

Entrepreneurs make you fly: The Business of Private Aviation

Relying on entrepreneurship theory, we are investigating the private aviation industry to discover how it proposes value to its consumers. To do so, we rely on secondary sources (news, interviews and others) as well as on primary ones coming from interviews with individuals working in the industry. In the first quarters of 2025, we interviewed over twenty individuals involved in different parts of this industry – airports, private flight brokers, private jet companies, original equipment manufacturers, maintenance companies, avionics developers, software developers, fixed based operators, and more - and its value proposition chain. We find that the private aviation industry is a mix of a few larger organizations with a multitude of smaller companies guided by entrepreneurs. The industry relies on these organizations’ specialization through division of labor and coordination to create a spider-web of interconnected companies and present their value propositions. Companies in the industry must deal with constant changes in the market, in technology and in the regulatory environment to keep their businesses afloat. We see the private aviation industry as an insightful proxy to understand entrepreneurship in general and how the market works

RFID Security for IoT Airport Infrastructure

Radio Frequency Identification (RFID), a methodology that uses active and passive tags to communicate through radio signals at different frequencies, has made its way to different implementations, including tracking of merchandise in transit, inventory management, access restrictions to authorized personnel, different data-sharing applications embedded with Near Field Communication (NFC). This technology has been mainly used in airports for tracking people and tracking luggage. In the tracking people line, was found that the main targets are the employees; to allow them to enter specific locations in the airport and give them permissions based on the role/hierarchy they have in the company and for passenger tracking and authentication in airports. In the line of luggage tracking, with the increasing number of incidents of missing or misplaced luggage, our focus in the following work will be on the implementation of a testbed of an Io RFID tracking system for luggage. This proposed project has 4 stages (objectives): 1. Prototyping and testing of RFID IoT infrastructure. 2. Generate a vulnerability assessment for the RFID IoT infrastructure. 3. Simulate cyberattacks and test the likelihood of compromise of the system’s integrity and availability. 4. Propose a series of recommendations for securing RFID IoT Systems that meet the characteristics of the systems evaluated in this research

Engineering Clean Water: Pure Water Project

After earthquakes devastated Haiti in 2010, a team of Embry-Riddle students and faculty built and installed a solar-powered water purifier to improve both the environmental and human health concerns created by the lack of infrastructure, clean water, and sanitation. Since then, the group Pure Water Project has installed 10 water purifiers in orphanages, clinics, schools, and community centers in Haiti and the Dominican Republic. The group relies on its partner selection criteria and local contacts to determine the best locations for the purifiers. Once determined, teams of students (Mechanical, Electrical, and WASH) construct the purifiers in ERAU’s Energy Systems Laboratory. In May, Pure Water Project students and faculty installed the purifier to accomplish the group’s overall goal: to use engineering principles to provide clean water to areas in need. A final component of the project is to launch a micro-business on-site. The local operators are empowered with ongoing maintenance and operation of the system, as well as the micro-business operations

Shoplifting in the US: Problems, Progress, and the Path Forward

Shoplifting has moved from a manageable nuisance to an urgent threat across the U.S. In large metropolitan and suburban markets alike, retailers, communities, and law enforcement are grappling with increasingly sophisticated theft both opportunistic and organized. According to the National Retail Federation (NRF), retail theft (including organized retail crime) cost U.S. businesses nearly $112 billion in 2022. The consequences ripple beyond balance sheets: consumers face higher prices, employees confront increased risk, and some communities lose storefronts that cannot survive persistent losses