Shengfan Zhang Source Confirmed

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

Associate Professor

University of Arkansas at Fayetteville

faculty

11 h-index 42 pubs 283 cited

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Biography and Research Information

OverviewAI-generated summary

Shengfan Zhang's research focuses on applying advanced computational methods to complex biological and systems problems. Recent work includes developing machine learning algorithms for predicting tuberculosis treatment outcomes and optimizing maintenance for inland waterway transportation systems. Zhang has investigated the molecular mechanisms of intracerebral hemorrhage, specifically the role of P2Y6 receptor activation and astrocyte-derived CXCL10 in exacerbating inflammation and blood-brain barrier disruption. Further research explores quantifying uncertainty in deep learning for risk-based decision-making and evaluating HPV vaccination strategies. Zhang's scholarship metrics include an h-index of 11, with 42 total publications and 283 total citations. Collaborations include work with Zephan Wade and Donald G. Catanzaro at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 11
  • Publications: 42
  • Citations: 283

Selected Publications

  • Quantifying uncertainty in deep learning binary classification with discrete noise in inputs for risk-based decision making (2025) DOI
  • Effects of magnesium phosphate cement proportions on paste properties (2025) DOI
  • SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks (2024) DOI
  • Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example (2024) DOI
  • An Analysis of Data Analytics Curriculum Development through an NSF Research Experience for Teachers (RET) Program in Arkansas (2024) DOI
  • Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site (2024) DOI
  • System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System (2023) DOI
  • Erlang loss systems with shortest idle server first service discipline: Maintenance considerations (2023) DOI
  • Utilizing Clinical Trial Data to Assess Timing of Surgical Treatment for Emphysema Patients (2022) DOI
  • Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes (2022) DOI
  • Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education (2021) DOI
  • Evaluating Risk-Stratified HPV Catch-up Vaccination Strategies: Should We Go beyond Age 26? (2021) DOI

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