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:::Home／Admissions & Degrees／Thesis Advisee/RA Positions／Faculty with Recommendation Quota

Thesis Advisee/RA Positions

Admissions & Degrees

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AllFaculty with Recommendation QuotaFaculty with Entrance Exam Quota

陳顯禎 Distinguished Professor

  • 陳顯禎
  • Title：
    Distinguished Professor
  • Field：
    Electro-Optical Signal Processing, Optronic Systems Integration, & Biophotonics System.

林伯昰 Distinguished Professor

  • 林伯昰
  • Title：
    Distinguished Professor
  • Field：
    Biomedical electronics, Biomedical sensing technique, Biophotonics, Image and signal processing, Embedded system design

藍宇彬 Associate Professor

  • 藍宇彬
  • Title：
    Associate Professor
  • Field：
    Solid-state laser technique、Spatial modes of laser、Laser system design、Optical design and measurements、Circuit and mechanical design

蘇海清 Professor & Director

  • 蘇海清
  • Title：
    Professor & Director
  • Field：
    Organic light-emitting materials, power-effective organic light-emitting devices, white organic light-emitting devices for solid-state lighting

尤信介 Associate Professor

  • 尤信介
  • Title：
    Associate Professor
  • Field：
    1.Nano-Photonics Materials 2.Semiconductor Laser 3.Organic Optoelectronic Devices 4.Novel Nonvolatile Memory Devices

崔容滿 Professor

  • 崔容滿
  • Title：
    Professor
  • Field：
    Semiconducting materials, Advanced nanotechnology, Green nanophotonics

詹明哲 Professor & Director

  • 詹明哲
  • Title：
    Professor & Director
  • Field：

胡博琛 Associate Professor

  • 胡博琛
  • Title：
    Associate Professor
  • Field：
    Imaging systems of biomedical application,micro/nano opto-electro-mechanical systems, ultrafast optics, zebrafish modeling of biomedical problems.

楊斯博 Professor

  • 楊斯博
  • Title：
    Professor
  • Field：
    nanophotonics, nanofabrication, semiconductor optics

潘瑞文 Professor

  • 潘瑞文
  • Title：
    Professor
  • Field：
    Optical design, Optical detection, Optical simulation

吳信龍 Professor & Dean

  • 吳信龍
  • Title：
    Professor & Dean
  • Field：
    1. Deep learning theory and analysis 2. Lightweight deep learning model construction 3. Computational complexity and algorithm analysis 4. Reversible data hiding
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