V. Chan Source Confirmed

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

High Impact

Researcher

John Brown University

faculty

22 h-index 71 pubs 2,010 cited

Research Areas

Semiconductor materials and devices Advancements in Semiconductor Devices and Circuit Design Thin-Film Transistor Technologies Integrated Circuits and Semiconductor Failure Analysis Advanced Memory and Neural Computing

Links

ORCID

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OverviewAI-generated summary

V. Chan's research centers on semiconductor materials and the advancement of semiconductor devices and circuit design. His work encompasses thin-film transistor technologies, integrated circuits, and semiconductor failure analysis, with a particular emphasis on advanced memory and neural computing applications. Chan's recent work focuses on in-memory computing, demonstrated by the development of mixed-signal chips utilizing phase-change memory for deep neural network inference and analog-AI chips designed for energy-efficient speech recognition and transcription. These projects involve innovative designs, such as the HERMES-Core, a high-performance in-memory compute core, and explorations into gradient descent-based programming methods for analog in-memory computing cores.

Metrics

  • h-index: 22
  • Publications: 71
  • Citations: 2,010

Selected Publications

  • Hunger Recruits a Parallel Circuit Encoding Alcohol Reward (2025) DOI

Collaborators

Researchers in the database who share publications

Mustafa Talay John Brown University 1 shared publication Kavin M. Nuñez John Brown University 1 shared publication Sarah Salamon John Brown University 1 shared publication

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