About

Che-Wei Liu is an associate professor of information systems at the W. P. Carey School of Business at Arizona State University. His research interests include IT labor, mobile health, fintech, and artificial intelligence. His work addresses the impact of digital technologies on users’ behaviors in areas such as mobile health, the IT labor market, stock trading, and job interviews. His research has been published in premier journals including Management Science, MIS Quarterly, Information Systems Research, and others, and has received recognition through awards such as the INFORMS ISS Cluster Best Paper Runner-up, the All-S.T.A.R. Fellowship, the CIBER Ph.D. Research Award, the ODT Faculty Scholar Award, and the Gordon B. Davis Young Scholar Award. Liu completed his PhD at the University of Maryland and has previously been a faculty member at the Kelley School of Business at Indiana University. His academic work is complemented by collaborations with non-academic organizations, where he has analyzed the effectiveness of robo-advisors, the impact of AI on interview processes, and strategies for sustaining healthy behaviors, demonstrating his dedication to applying research in practical settings.

Research topics

• Computer Science
• Medicine
• Engineering
• Electronic engineering
• Materials science
• Physics
• Pediatrics
• Electrical engineering
• Internal medicine
• Surgery

Selected publications

• High-Efficiency High-Power-Density <i>CLLC</i> Resonant Converter With Low-Stray-Capacitance and Well-Heat-Dissipated Planar Transformer for EV On-Board Charger

  IEEE Transactions on Power Electronics · 2020 · 125 citations

  • Computer Science
  • Electrical engineering
  • Materials science

  In this article, a high-efficiency high-power-density wide-bandgap-based CLLC resonant converter with a low-stray-capacitance and well-heat-dissipated planar transformer is presented, which is used as the isolated dc-dc stage for an electric vehicle on-board charger. A generalized planar transformer design methodology is proposed and validated by practical designs and experimental tests. A novel and simple transformer configuration is proposed to reduce the winding stray capacitance and enhance the winding thermal dissipation. The proposed transformer configuration is compared with different planar transformer designs, and the tradeoffs of employing the proposed design are well analyzed. Moreover, the system design and optimization of the high-efficiency high-power-density CLLC resonant converter is studied. The proposed transformer design and the system optimization approach are employed in a 6.6-kW/500-kHz CLLC resonant converter prototype. The prototype achieves a peak efficiency of 97.85% and a power density of 114 W/in$^\text {3}$.

  DOI

• Approach selection and outcomes of craniopharyngioma resection: a single-institute study

  Neurosurgical Review · 2020 · 44 citations

  • Medicine
  • Surgery
  • Pediatrics
  DOI

Frequent coauthors

• Yazhuo Zhang

  Zhejiang Ocean University

  99 shared

• Lei Cao

  Jiangsu Province Hospital

  62 shared

• Chuzhong Li

  Beijing Tian Tan Hospital

  61 shared

• Jiwei Bai

  Capital Medical University

  46 shared

• Zhenye Li

  Capital Medical University

  42 shared

• Sen Cheng

  Fifth Affiliated Hospital of Zhengzhou University

  31 shared

• Chuzhong Li

  Chinese Institute for Brain Research

  31 shared

• Songbai Gui

  Beijing Tian Tan Hospital

  29 shared

Education

• Ph.D.

  University of Maryland

  2018

• Other

  National Tsing Hua University

  2007

Awards & honors

• INFORMS ISS Cluster Best Paper Award Runners-up, INFORM, 202…
• AIDA Summer Research Grant (Co-PI, $5,000), Center for AI an…
• Jerome Bess Faculty Fellowship, Kelley School of Business, I…
• INFORMS Information Systems Society Gordon B. Davis Young Sc…
• Best Student Paper Nomination, Conference of Information Sys…

Similar researchers at Arizona State University

• Greg Asnerh-157
• Philip Christensenh-130
• Jianguo Wuh-119
• Carolyn Comptonh-118
• Osvaldo Salah-114