Donald Reising

Guerry & UC Foundation Professor

University of Tennessee at Chattanooga

United States

Has open position

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Research Interests

Internet Of Things

70%

Hardware Engineering

50%

Radio Frequency

30%

Cyber-physical System

30%

Transient Analysis

20%

Time-domain Analysis

20%

Radio Frequency Engineering

20%

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Positions1

Donald Reising

University Name

The University of Tennessee at Chattanooga

just-published

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.

just-published

Donald Reising

Guerry & UC Foundation Professor

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Research Interests

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Positions1

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

Articles19

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

Collaborators3

Erkan Kaplanoglu

Lakmali Weerasena

T. D. Loveless

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