Yanjun Pan Source Confirmed

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

Federal Grant PI

Assistant Professor

University of Arkansas at Fayetteville

faculty

8 h-index 33 pubs 176 cited

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OverviewAI-generated summary

Yanjun Pan's research focuses on cybersecurity, wireless sensing, wireless communications, and network optimization. He investigates vulnerabilities and detection methods within communication protocols, such as those found in 5G networks. His work also explores the application of machine learning and online learning techniques for optimizing wireless systems, including reconfigurable antenna mode selection and vehicle platooning. Pan is also engaged in research related to physiological sensing using wireless communication channels and user authentication methods based on biological patterns.

His research portfolio includes work on the performance of advanced communication signal modulations like OTFS (Orthogonal Time Frequency Space) with analog receivers. Furthermore, Pan is involved in projects related to the security and efficiency of energy systems, specifically photovoltaic systems with battery storage, employing deep reinforcement learning for scheduling and dynamic watermarking for attack detection.

Pan holds a federal grant from the NSF for his work on untraceable communications through RF fingerprint anonymization. He leads a research group at the University of Arkansas and has published extensively, with a total of 33 publications and an h-index of 8.

Metrics

h-index: 8
Publications: 33
Citations: 176

Selected Publications

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting (2025) DOI
CP-Free ODDM Over General Doubly-Selective Fading Channels (2025) DOI
Optimum Scheduling of Truck-Based Mobile Energy Couriers (MEC) Using Deep Deterministic Policy Gradient (2025) DOI
SideSense: Robust Physiological Motion Detection via mmWave Joint Communication and Sensing Systems With Multiple Beams (2025) DOI
Harvesting Physical-Layer Randomness in Millimeter Wave Bands (2024) DOI
Detection of Overshadowing Attack in 4G and 5G Networks (2024) DOI
Low Complexity OTFS Detection with a Delay-Doppler Domain CMC-MMSE Receiver (2024) DOI
Deep Reinforcement Learning for Online Scheduling of Photovoltaic Systems with Battery Energy Storage Systems (2024) DOI
Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices (2023) DOI
Low-Latency Attack Detection With Dynamic Watermarking for Grid-Connected Photovoltaic Systems (2023) DOI
On the Performance of Practical Pulse-Shaped OTFS with Analog Receivers (2023) DOI
Critical Element First: Enhance C-V2X Signal Coverage using Power-Efficient Liquid Metal-Based Intelligent Reflective Surfaces (2023) DOI
Cross-Modality Continuous User Authentication and Device Pairing With Respiratory Patterns (2023) DOI
5G RRC Protocol and Stack Vulnerabilities Detection via Listen-and-Learn (2023) DOI
Physiological Motion Sensing via Channel State Information in NextG Millimeter-Wave Communications Systems (2022) DOI