Yanjun Pan Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI

Assistant Professor

University of Arkansas

Last publication 2025 Last refreshed 2026-05-22

faculty

8 h-index 33 pubs 185 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Yanjun Pan's research focuses on cybersecurity, wireless sensing, wireless communications, and network optimization. As an Assistant Professor at the University of Arkansas, Pan leads a research group investigating these areas. The group's work includes developing methods for detecting vulnerabilities in 5G protocols and stacks, exploring online learning for reconfigurable antenna mode selection, and creating proof-of-following mechanisms for vehicle platoons.

Further research interests encompass cross-modality user authentication and device pairing using respiratory patterns, as well as the application of deep reinforcement learning for scheduling photovoltaic systems with battery storage. Pan's work also extends to sensing physiological motion through channel state information in next-generation millimeter-wave communication systems and the low-latency detection of attacks on grid-connected photovoltaic systems using dynamic watermarking.

Pan has received federal funding for research, including a $456,905 grant from the NSF for a project titled "SaTC: CORE: Small: Towards Untraceable Communications in a Ubiquitous Environment with RF Fingerprint Anonymization." Pan has authored or co-authored 33 publications, with a total of 179 citations and an h-index of 8. Key collaborators at the University of Arkansas include Jingxian Wu, Jeremiah R. Wimer, Andong Zhou, and Marie Louise Uwibambe.

Metrics

h-index: 8
Publications: 33
Citations: 185

Selected Publications

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting (2025)

DOI OpenAlex
CP-Free ODDM Over General Doubly-Selective Fading Channels (2025)

DOI OpenAlex
Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient (2025)

DOI OpenAlex
SideSense: Robust Physiological Motion Detection via mmWave Joint Communication and Sensing Systems With Multiple Beams (2025)

DOI OpenAlex
Harvesting Physical-Layer Randomness in Millimeter Wave Bands (2024)

2 citations DOI OpenAlex
Detection of Overshadowing Attack in 4G and 5G Networks (2024)

4 citations DOI OpenAlex
Low Complexity OTFS Detection with a Delay-Doppler Domain CMC-MMSE Receiver (2024)

1 citation DOI OpenAlex
Deep Reinforcement Learning for Online Scheduling of Photovoltaic Systems with Battery Energy Storage Systems (2024)

8 citations DOI OpenAlex
Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices (2023)

2 citations DOI OpenAlex
Low-Latency Attack Detection With Dynamic Watermarking for Grid-Connected Photovoltaic Systems (2023)

6 citations DOI OpenAlex
On the Performance of Practical Pulse-Shaped OTFS with Analog Receivers (2023)

9 citations DOI OpenAlex
Critical Element First: Enhance C-V2X Signal Coverage using Power-Efficient Liquid Metal-Based Intelligent Reflective Surfaces (2023)

DOI OpenAlex
Cross-Modality Continuous User Authentication and Device Pairing With Respiratory Patterns (2023)

11 citations DOI OpenAlex
5G RRC Protocol and Stack Vulnerabilities Detection via Listen-and-Learn (2023)

22 citations DOI OpenAlex
Physiological Motion Sensing via Channel State Information in NextG Millimeter-Wave Communications Systems (2022)

8 citations DOI OpenAlex