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Donald Reising

Guerry & UC Foundation Professor

University of Tennessee at Chattanooga

United States

Research Interests

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Donald Reising is the UC Foundation Associate Professor at The University of Tennessee at Chattanooga, USA. His research areas encompass machine learning, internet of things security, and power systems, as evidenced by his recent publications on topics such as quantum correlations recovery, RF-DNA fingerprinting, and electrical disturbance identification. Through his work, he addresses critical challenges in both theoretical and practical applications of technology in modern safety and security contexts.

Positions (1)

Donald Reising

University Name

The University of Tennessee at Chattanooga

3 months ago

PhD Student Opening in Wireless Communications, Machine Learning, and Computer Networking

Ph.D. student opening for Spring 2027 at The University of Tennessee at Chattanooga with Donald Reising , Guerry & UC Foundation Professor. The position is centered on research in wireless communications , machine learning , and computer networking . Applicants should have a master’s degree in electrical engineering , computer engineering , or computer science . Candidates with relevant experience or knowledge in these areas will receive special consideration. This is a research-team opening for a Ph.D. student starting in spring 2027 . The post does not mention funding details, tuition support, stipend, or fee waivers. Application deadline: September 1, 2026 . Interested candidates are encouraged to message the professor directly.

3 months ago

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Collaborators (3)

Erkan Kaplanoglu

University of Tennessee at Chattanooga

UNITED STATES

View details

Lakmali Weerasena

Associate Professor

University of Tennessee at Chattanooga

UNITED STATES

View details

T. D. Loveless

Indiana University

UNITED STATES

View details

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Donald Reising

Research Interests

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About

Positions (1)

PhD Student Opening in Wireless Communications, Machine Learning, and Computer Networking

Articles (21)

Effects of Total Ionizing Dose on Specific Emitter Identification of Software-Defined Radios

Simplifying Multi-Domain Specific Emitter Identification

Transformers—Messages in disguise

Recovery of quantum correlations using machine learning

Software Defined Radio-Based Long-Term Evolution for Infrastructure-Based Vulnerable Road Users Safety: A Field Demonstration

Enhancing internet of things security using entropy-informed RF-DNA fingerprint learning from Gabor-based images

Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification within a Power Transmission System

Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning

Machine Learning Techniques to Predict Voltage Unbalance in a Power Transmission System

Power Signal Histograms—A Method of Power Grid Data Compression on the Edge for Real-Time Incipient Fault Forensics

Considerations, Advances, and Challenges Associated with the Use of Specific Emitter Identification in the Security of Internet of Things Deployments: A Survey

Analysis of Single Event Transients in Arbitrary Waveforms Using Statistical Window Analysis

Supervised Deep Learning and Classification of Single-Event Transients

An investigation into the impacts of deep learning‐based re‐sampling on specific emitter identification performance

Physical Layer-Based IoT Security: An Investigation into Improving Preamble-Based SEI Performance When Using Multiple Waveform Collections

Effects of Total Ionizing Dose on SRAM Physical Unclonable Functions

Analysis of Single-Event Transients (SETs) Using Machine Learning (ML) and Ionizing Radiation Effects Spectroscopy (IRES)

Radio Identity Verification-Based IoT Security Using RF-DNA Fingerprints and SVM

Electrical Measurement of Cell-to-Cell Variation of Critical Charge in SRAM and Sensitivity to Single-Event Upsets by Low-Energy Protons

Identification of OFDM-Based Radios Under Rayleigh Fading Using RF-DNA and Deep Learning

Nelder-Mead Simplex Channel Estimation for the RF-DNA Fingerprinting of OFDM Transmitters Under Rayleigh Fading Conditions

Collaborators (3)

Erkan Kaplanoglu

Lakmali Weerasena

T. D. Loveless

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