Spectrum Dominance Division
Spectrum dominance is becoming increasingly critical as national security missions operate in congested, challenged, and rapidly evolving electromagnetic environments. Modern operations rely on systems that can sense, transmit, and adapt across the radio frequency (RF) spectrum with speed and precision. Meeting these demands requires deep expertise across the full RF transmit-receive chain, including antenna and phased-array design, waveform development, transmitter/receiver architectures, and advanced electromagnetic materials.
The Spectrum Dominance Division brings together over 30 full-time faculty researchers across electrical engineering, computer engineering, computer science, applied mathematics, physics, and quantum technologies. Our strengths span software-defined radio development, artificial intelligence and machine learning (AI/ML) applied to the RF spectrum, signals intelligence (SIGINT), radar, cellular systems, electromagnetic materials, and additive manufacturing. Alongside fundamental RF research, we maintain a strong focus on technology readiness level (TRL) 3-6 development, serving as a bridge from campus discovery to prototype‑ready systems. A particular strength is real‑time RF system development using in‑house field-programmable gate array (FPGA), graphics processing unit (GPU), and software-defined radio (SDR) platforms. Multiple capabilities have successfully transitioned in real‑time RF machine learning, automotive cybersecurity, and radar threat warning.
Beyond RF modalities, we cultivate emerging capabilities in quantum, biological, and multi-spectral sensing to position the division for future mission needs. Our work strengthens the nation’s ability to operate decisively across the modern electromagnetic spectrum while developing the next generation of sensing and information modalities.
Capabilities
Spectrum Situational Awareness
Building sensors to detect, estimate, characterize, and localize emitters within the warfighter’s RF environment, leveraging traditional and cutting-edge AI/ML-based techniques.
Real-Time Communication Systems
Improving the capabilities, performance, and resilience of our warfighter’s communications platforms through improved digital signal processing, antenna design, waveform design, and real-world test and evaluation (T&E).
Embedded Systems
Translation of state-of-the-art sensor and communication algorithms onto size, weight, and power (SWaP)-constrained hardware, and exploration of hardening and exploiting hardware vulnerabilities.
Quantum Sensing
Exploring the capabilities and limitations of quantum systems for rapidly evolving sensing problems requiring extreme sensitivities.
Electromagnetic Systems and Structures
Design and simulation of antennas, radomes and other functional structures, along with material characterization and development/manufacturing for highly integrated structures.
5G/6G/Next-G Communications
Formulating secure communication features within next-generation cellular technologies to support both commercial and military applications.
Research Spotlights
Centers & Facilities
The Virginia Tech Counter-UAS Testing and Research Center (CTRC) unites Virginia Tech’s strengths in autonomy, sensing, and spectrum expertise to develop and evaluate technologies that detect, track, identify, and defeat unmanned aerial systems (UAS). From controlled laboratories to 1,800 acres of open sky, the center provides government and industry partners with a trusted, instrumented environment to prove what works under real-world and augmented conditions.
Our 5,000 square feet of laboratory space supports advanced RF and microwave testing in controlled, repeatable environments. Both anechoic and semi-anechoic chambers enable antenna, radome, scattering, and electromagnetic compatibility (EMC) measurements from 1.7 GHz to 40 GHz, equipped with near-field and far-field scanning systems and cutting-edge RF instrumentation. Additional capabilities include C-Band through V-Band equipment along with X-Band and Ku-Band waveguide calibration for material and elevated-power measurements. These resources enhance high-fidelity evaluation of materials, devices, and enclosures for electromagnetic system development.
Expansive central processing unit (CPU) and graphics processing unit (GPU) clusters provide the computing resources needed for advanced modeling, simulation, and data-intensive research. These capabilities support computationally demanding applications, including RF AI and ML, and were acquired through multiple Defense University Research Instrumentation Program (DURIP) awards.
Division Leadership
William (Chris) Headley
Interim Director, Spectrum Dominance Division
Joseph Gaeddert
Assistant Director, Spectrum Dominance Division
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The Virginia Tech National Security Institute (VTNSI) advances national security through mission-driven research, technology innovation, and workforce development. Unlike traditional academic research centers, the institute integrates interdisciplinary expertise across engineering, computing, policy, and national security disciplines to rapidly translate research into mission-ready capabilities.