T. Charles Clancy, PhD

As director of the Hume Center, my research portfolio broadly covers wireless, cybersecurity, unmanned platforms, and data analytics, as they apply to the national security sector. This includes topics such as signals intelligence; cyber warfare; electronic warfare; information operations; computer network attack, defense, and exploitation; automated intelligence analysis; intelligence visualization; and many other related areas.

My personal research interests surround wireless security and robustness at all layers of the network stack, which includes topics such as physical layer security, electronic warfare, quality of service in cognitive radio networks, and authentication and encryption in wireless networks. I have worked extensively with software-defined radio (SDR) and cognitive radio (CR) technologies, and am interested in robustness and security issues surrounding SDR/CR-based networks.

Current Research Areas

Deep Learning for Signal Processing

Summary: This research reimagines digital signal processing within the context of deep learning. By replacing signal processing logic with neural networks trained to perform the same task we can eliminate the need for traditional serial processing enabling significant latency and computational complexity reductions. Similarly an entirely new world of cognitive radio is possible when the signal processing environment is built natively on top of a machine learning engine.
Sponsors: DARPA, LMCO
Publications: Google Scholar

Resource Allocation in Wireless Systems

Summary: In contested and congested environments, meeting quality of service requirements for wireless systems can be challenging. This reserach investigates distributed, optimal approaches to resource allocation in scenarios such as LTE carrier aggregation, radar spectrum sharing, and M2M communications for industrial control systems. Solutions range from straight forward utility maximization to secure auction techniques.
Sponsors: DARPA, NSF, ODNI
Publications: Google Scholar

Prior Research Areas

Spectrum Sharing in Military Radar Bands

Summary: This project is investigating how legacy military radar systems operating in the 3.5 GHz frequency band can securely coexist with commercial secondary users, such as LTE and WiFi. The research focuses on security aspects of spectrum coordination and advanced array techniques for radar transmit eigen-nulling in multipath channels.
Sponsors: DARPA, OSD
Publications: Google Scholar

Advanced Electronic Warfare Techniques for 4G Communications

Summary: This project investigates jamming and anti-jamming techniques in OFDM/MIMO-based 4G communications systems such as LTE and WiMAX. By understanding the weakensses, hardened profiles of these standards can be proposed for use in military communications systems.
Publications: Google Scholar

Cognitive Electronic Warfare and Adversary Strategy Modeling

Summary: This project studies how use of machine learning to develop a state machine model for one's adversary in electromagnetic battlespace enables optimal strategy selection. Additionally it studies the advantages and disadvantages of sophsiticated spoofing and deception attacks. We seek to understand fundamental bounds on the capacity for adversary learning, nonstationary strategy development to reduce the fidelity of learning, and implementation approaches in realistic environments.
Publications: Google Scholar