About

Wenjun Fan, MD, MS, PhD, is an Assistant Professor of Teaching in the Department of Epidemiology & Biostatistics at UC Irvine's Program in Public Health. She recently earned her doctoral degree in epidemiology, along with a Master's in biomedical and translational sciences from UC Irvine, and holds a medical degree from Tianjin Medical University. Her research focuses on exploring risk factors associated with atherosclerotic cardiovascular disease among patients with chronic conditions, optimizing lipid management for heart disease prevention, and advocating for healthy behaviors to enhance cardiovascular health. Dr. Fan brings clinical training and medical expertise from China, complemented by her academic achievements and outstanding teaching awards, contributing to her role in advancing public health education and research.

Research topics

• Data Mining
• Artificial Intelligence
• Computer Security
• Computer Science
• Environmental science
• Chemistry
• Biology
• Materials science
• Ecology
• Organic chemistry
• World Wide Web
• Composite material
• Soil science

Selected publications

• HoneyLLMd: A Large Language Model-Powered Adaptive Honeypot System

  IEEE Transactions on Network Science and Engineering · 2026-01-01

  article1st authorCorresponding

  A honeypot is a cybersecurity mechanism designed to lure attackers by emulating vulnerabilities and serving as a decoy, intentionally crafted to detect and analyze malicious activities. However, achieving a balance between the ability to engage attackers extensively and the need to minimize exposure of system resources remains an enduring challenge. High-interaction honeypots (HIHs) provide in-depth system-level observation through full operating systems, yet they inherently increase the risk of being compromised due to the extensive exposure of functionalities. In contrast, low- and medium-interaction honeypots (LIHs/MIHs) emulate only minimal or disguised services, which cannot spawn reverse shells or execute real command responses, but significantly reduce the risk of system intrusion. To overcome this limitation, we present a large language model (LLM)-powered adaptive honeypot system capable of supporting both bind and reverse shell interactions with authentic shell-like responses generated by the LLM rather than a real OS. This design enables convincing, continuous “request—response” interactions in which attackers unintentionally reveal behavioral and intent data. Furthermore, a hierarchical probabilistic automaton (HPA) is employed to model attack transitions and dynamically adapt honeypot strategies. Experimental validation on real-world attacks demonstrates that the proposed system achieves superior engagement and data capture while maintaining low security risk.

  PublisherDOI

• Dempster–Shafer evidence theory based IFA detection approach towards mixed attacks in VNDN

  Computers & Industrial Engineering · 2025-04-07 · 4 citations

  articleSenior authorCorresponding
  PublisherDOI

• PETS2025: Multi-Authority Multi-Sensor Maritime Surveillance Challenge and Evaluation

  2025-08-11

  articleOpen access

  This paper presents the outcomes of the PETS2025 challenge, held in conjunction with AVSS 2025 and sponsored by the EU-funded EURMARS project. The challenge introduces a novel maritime surveillance dataset comprising image sequences captured by diverse multi-altitude, multimodal sensors, reflecting the real-world multi-authority environment. The key tasks include: (1) object detection using various sensors across different platforms (ground-based and low-altitude aerial) and spectral ranges (visible, thermal, ultraviolet (UV), and short-wave infrared (SWIR)); (2) long-term tracking of targets in maritime environments spanning both sea and land; and (3) approximating target geolocations by using sensor imagery and telemetry data. Performance evaluations of results submitted by 12 international participants are discussed. The results show the effectiveness of these submissions and highlight ongoing challenges posed by heterogeneous sensors and complex environments. These challenges emphasise the need to further improve detection, tracking, and geolocation approximation for maritime and coastal surveillance.

  PublisherOA PDFDOI

• PP-TDD: Privacy Protection towards Secure Vehicle Semantic Trajectory Data Dissemination

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• PP-TDD: Privacy protection towards secure vehicle semantic trajectory data dissemination

  Knowledge-Based Systems · 2025-01-01

  articleOpen access
  PublisherOA PDFDOI

• AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA)

  BMJ Open Diabetes Research & Care · 2025-03-01 · 4 citations

  articleOpen access

  INTRODUCTION: About one-third of adults in the USA have some grade of hepatic steatosis. Coronary artery calcium (CAC) scans contain more information than currently reported. We previously reported new artificial intelligence (AI) algorithms applied to CAC scans for opportunistic measurement of bone mineral density, cardiac chamber volumes, left ventricular mass, and other imaging biomarkers collectively referred to as AI-cardiovascular disease (CVD). In this study, we investigate a new AI-CVD algorithm for opportunistic measurement of liver steatosis. METHODS: We applied AI-CVD to CAC scans from 5702 asymptomatic individuals (52% female, age 62±10 years) in the Multi-Ethnic Study of Atherosclerosis. Liver attenuation index (LAI) was measured using the percentage of voxels below 40 Hounsfield units. We used Cox proportional hazards regression to examine the association of LAI with incident CVD and mortality over 15 years, adjusted for CVD risk factors and the Agatston CAC score. RESULTS: A total of 751 CVD and 1343 deaths accrued over 15 years. Mean±SD LAI in females and males was 38±15% and 43±13%, respectively. Participants in the highest versus lowest quartile of LAI had greater incidence of CVD over 15 years: 19% (95% CI 17% to 22%) vs 12% (10% to 14%), respectively, p<0.0001. Individuals in the highest quartile of LAI (Q4) had a higher risk of CVD (HR 1.43, 95% CI 1.08 to 1.89), stroke (HR 1.77, 95% CI 1.09 to 2.88), and all-cause mortality (HR 1.36, 95% CI 1.10 to 1.67) compared with those in the lowest quartile (Q1), independent of CVD risk factors. CONCLUSION: AI-enabled liver steatosis measurement in CAC scans provides opportunistic and actionable information for early detection of individuals at elevated risk of CVD events and mortality, without additional radiation.

  PublisherOA PDFDOI

• Multi-Attack Identification and Mitigation mechanism based on multi-agent collaboration in Vehicular Named Data Networking

  Computer Networks · 2025-03-23 · 2 citations

  articleSenior authorCorresponding
  PublisherDOI

• ML-BF: Responsive and Dynamic Intrusion Detection towards Intelligent Connected Vehicles

  Peer-to-Peer Networking and Applications · 2025-11-10 · 1 citations

  articleCorresponding
  PublisherDOI

• CTFAgent: An LLM-powered Agent for CTF Challenge Solving

  Journal of Information Security and Applications · 2025-11-20 · 1 citations

  articleSenior authorCorresponding
  PublisherDOI

• Effects of annealing on the microstructures and electrochemical behavior of the superlattice RE-Mg-Ni based hydrogen storage alloy negative electrodes

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

Frequent coauthors

• Sang‐Yoon Chang

  University of Colorado Colorado Springs

  25 shared

• S. R. J. Brueck

  23 shared

• Kevin J. Malloy

  Actoprobe (United States)

  21 shared

• Shuang Zhang

  20 shared

• Xiaobo Zhou

  18 shared

• Nicolae C. Panoiu

  University College London

  14 shared

• Simeon Wuthier

  12 shared

• Jinoh Kim

  Texas A&M University – Commerce

  10 shared

Education

• Ph.D., Environmental Health Sciences

  University of California, Los Angeles

  2004

• M.S., Environmental Health Sciences

  University of California, Los Angeles

  2001

• B.S., Environmental Health Sciences

  University of California, Los Angeles

  1999

Awards & honors

• The American Heart Association awards Wenjun Fan $100,000 to…
• Suellen Hopfer Named 2025 Dr. De Gallow Professor of the Yea…
• Epidemiologist receives grant to examine diabetes therapies’…