Students and faculty in the Department of Electrical, Computer, Software, and Systems Engineering are some of the more prolific researchers in the Embry-Riddle family. The department's research expenditures are nearly one-half those of the entire College of Engineering, with support from federal agencies including NSF, FAA, and NOAA as well as industry partners. The department is heavily involved in projects managed by ERAU's NEAR Lab and by the COE's Eagle Flight Research Center.

Strategic department research directions include three areas critical for the future of aerospace. These are:

  • Detect and avoid technologies for unmanned aircraft systems;
  • Assured systems for aerospace, including cybersecurity and development assurance;
  • Modeling and simulation for aviation and aerospace.

Detect and avoid technologies enable unmanned aircraft systems to "see and be seen" by other aircraft and by air traffic controllers on the ground. Of particular challenge is detect and avoid of uncooperative aircraft, those aircraft that aren't equipped to announce their position either automatically or in response to interrogations from the ground.

Assured systems are those that are robust in the face of cybersecurity challenges, with assured development being system design approaches that yield assured systems without high overhead.

Modeling and simulation for aviation involves everything from the logistics of getting passengers onto aircraft to planning how to get all air traffic around predicted bad weather without upsetting arrival times and locations.

11-14 of 14 results

  • From Middle School to Industry Vertical Integration to Inspire Interest in Computational Thinking

    PI Massood Towhidnejad

    CO-I Thomas Hilburn

    While students typically do not see immediate advantages of the topics being studies, top down integration exposes students to larger, more complex projects, giving them better appreciation for topics as they realize the “big picture.”

    Funded by the National Science Foundation, this research seeks to vertically integrate software development best practices from industry to graduate, undergraduate, high school, and middle school academic programs, with the intention of increasing student interest in computing and computational thinking.

    Categories: Faculty-Staff

  • Distributed Detection and Control of Collective Behaviors in Multi-agent Systems

    PI Tianyu Yang

    Multi-agent systems can be defined as a group of dynamical systems, in which certain emergent behaviors are exhibited through the local interaction among group members that individually have the capability of self-operating. The key issues we study include the analysis of network controllability and the design of coordination control protocol in order to achieve autonomous and optimal tasking allocation. Also, the detection and resilient control of emergent behaviors in large scale multi-agent systems are of keen interest. 

    Our analysis is conducted through modeling, detection, learning, and estimation of agent interaction dynamics and interaction topologies, and the design of resilient cooperative control protocols. The projects have been funded by Air Force Research Laboratory Information Directorate (AFRL/RI) Machine Intelligence for Mission Focused Autonomy (MIMFA) program. The projects are in collaboration with researchers from Bradley University

    Categories: Faculty-Staff

  • UAS Ground Collision Severity Evaluation

    PI Feng Zhu

    CO-I Eduardo Divo

    CO-I Victor Huayamave

    Increased use of UAS requires an in-depth understanding of the hazard severity and likelihood of UAS operations in the NAS. Due to their distinct characteristics (e.g. size, weight and shape) with manned aircraft systems, UAS operations may pose unique hazards to other aircraft and people on the ground. 

    Up to date, the studies on the UAS ground collision are still very much limited, particularly the scenario of impact between UAS and human body on the ground. Therefore, it is necessary to determine lethality thresholds for UAS using characteristic factors that affect the potential lethality of UAS in collisions with other objects, particularly human body on the ground. The objectives of this study are (1) to analyze the response and failure behavior of several typical UASs impact with human body on the ground; and (2) establish the damage threshold of UAS and its correlation with the key parameters in the crash accidents (e.g. shape, size and materials of UAS; impact energy and impulse etc.). To achieve this goal, advanced computational modeling techniques (e.g. finite element method/FEM) will be used to simulate the typical UAS/people impact scenarios.Based on the results, a design guidance can be further suggested to improve the crashworthiness of UAS and safety of personnel on the ground.

    Conventional 14 CFR system safety analyses include hazards to flight crew and occupants may not be applicable to unmanned aircraft.  It is necessary to determine the dedicated hazard severity thresholds for UAS and identify the key factors that affect the potential severity of UAS in collisions with other aircraft on the ground or in airborne encounters as well as collisions with people on the ground.  These severity thresholds will help determine acceptable corresponding system failure levels in accordance with the applicable 14 CFR requirements (for example 14 CFR 23.1309 and 14 CFR 25.1309).

    Categories: Faculty-Staff

  • The S-Band Array for Bistatic Electromagnetic Ranging (SABER)

    CO-I Brian Butka

    Faculty in the Electrical, Computer, Software, and Systems Engineering Department at Embry-Riddle are developing new radar that may alter the paradigm of locating aircraft.



    Unlike standard radars that generate high-power radio pulses and listen for the return echoes indicating aircraft, the SABER system has no transmitter of its own. Instead, the researchers use weak echoes of signals from existing satellites high above the Earth to locate their quarry.Passive radars exploiting environmental signals are not uncommon and systems using television and radio stations have been known for more than a decade; however, systems using satellites are unique. Satellite signals are much weaker than ground-based signals, and are often considered too weak to be useful. The key, says Barott, is in the signal processing, which is able to identify the very weak echoes - and thus the aircraft - among the sea of radio noise and interfering signals.

    Passive radars exploiting environmental signals are not uncommon and systems using television and radio stations have been known for more than a decade; however, systems using satellites are unique. Satellite signals are much weaker than ground-based signals, and are often considered too weak to be useful. The key, says Barott, is in the signal processing, which is able to identify the very weak echoes - and thus the aircraft - among the sea of radio noise and interfering signals.The researchers envision many applications for passive radars using satellite-based signals. To start with, a network of inexpensive stations could supplement existing systems for tracking low-altitude aircraft, and provide coverage in mountainous regions where little radar coverage currently exists. “It's a similar idea to why you might get satellite television,” says Barott. “Remote locations and rough terrain might block ground-based signals, but are no problem for satellites sending their signals down from orbit.” Other applications include rapid deployment radars and approach radars for remote airfields. The researchers also note potential applications utilizing the covert and stealth-detecting aspects of this type of radar

    Categories: Faculty-Staff

11-14 of 14 results