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In the Focus

Four SUSTech Professors Selected for the 2017 Pearl River Talent Program

May 10, 2018 Latest

Recently, SUSTech became one of the universities with most innovative and entrepreneurial projects teams approved for the 2017 Pearl River Talent Plan in Guangdong Province. In order to become part of the Peal River Talent Plan, all teams from across Guangdong were required to put forward specific innovation and entrepreneurial schemes, along with funding plans. Four teams from SUSTech were successfully selected, among the 52 teams across the province, including 31 innovative entrepreneurial teams and 21 local innovative research teams.

The four SUSTech teams are all teams of applied basic research, including the "Reconfigurable Quasi-Brain Intelligence Computing System Team" led by Professor Yao Xin, and "Innovative Water Treatment and Advanced Environmental Material Team" led by Professor Liu Chongxuan. Leaders of the other two teams are Professor Zhang Wenqing ("Team of Electron-Phonon Transport Physics and Design and Application of Thermal-Functional Materials”) and Associate Professor Li Guixin ("Team of Key Technology and Applied Research of Optical Superstructure Surface”). All four teams received total funding of 20 million renminbi .

So far, SUSTech has had ten projects funded under the “Pearl River Talent Program.”

Introduction to the Four Selected Teams in Our School

[Professor Yao Xin’s Team]

Professor Yao from the Department of Computer Science and Engineering is one of the five core members of the “Reconfigurable Quasi-Brain Intelligence Computing System Team”. The team intends to address key obstacles in the design and implementation of current quasi-brain intelligence computing system and to study key implementation technologies for making the system reconfigurable, efficient and low-energy-consuming. The project includesthe following aspects:

  1. To study common characteristics of the corresponding algorithms ofheterogeneous intelligence tasks;
  2. To build a unified quasi-brain intelligence model and its software implementation paradigm through abstracting and stipulating of structural layers of models, software, and system;
  3. To establish a unified model and software based on the content aboveso as to study and implement task-insensitive self-learning algorithms;
  4. To analyze the reconfiguration mechanism and method of quasi-brain intellence computing system in different application contexts based on reconfigurable computing platforms such (as cloud platform and FPGA) in order to form a complete, reconfigurable, brain-like intelligent computing design and implementation technology group.

[Professor Liu Chongxuan’s Team]

Professor Liu Chongxun from the School of Environmental Science and Engineering is one of the four core members of the "Innovative Water Treatment and Advanced Environmental Materials Team."The teams plans to carry out projects with the charateristics below:

  1. Aiming at developing advanced environmental materials in innovative high-efficiency water treatment technology;
  2. Developing basic, forward-looking and applied research, and integrating a series of innovative products for future industrialization by focusing on research, development and optimization of membrane materials, functional nanomaterials and electrode materials.

The team’s research focuses are research and development of advanced environmental materials for water treatment, research and development of water treatment technologies based on advanced environmental materials, and research, development and integration of three advanced environmental materials in innovative water treatment technologies.

[Professor Zhang Wenqing’s Team]

As one of the four core members, Physics Professor Zhang leads a research team called "Team of Electron-Phonon Transport Physics and Design and Application of Thermal-Functional Materials.” The project to be carried out is divided into three subprojects:

  1. Microscopic design theory and calculation methods for high-performance thermal functional materials;
  2. High-throughput multi-scale computational screening and data-driven intelligence design of thermal functional materials;
  3. Preparation and performance control of advanced thermal functional materials.

The project focuses on high thermal conductivity materials and high-performance thermoelectric conversion materials, which are cutting edge in academia and influential in industrialization. By revolving around the design and implementation of these materials, the project will build an applied science basis for the design of thermal functional materials and may lead to the finding of high-performance new materials. Since high-performance thermal conductivity materials and thermoelectric conversion materials have made a breakthrough by obtaining proprietary intellectual property rights, they will be widely applied inindustries such as thermal energy conservation and microelectronics.

[Associate Professor Li Guixin’s Team]

Professor Li Guixin, Associate Professor of Materials Science and Engineering, is one of the four core members of the“Team of Key Technology and Applied Research of Optical Superstructure Surface.”The team mainly focuses on high-efficiency optical superstructure surface, tunable optical superframe surface, nonlinear optical superframe surface, and key manufacturing technologies of the optical superstructure surface. The key technologies and applied research of the optical superstructure surface put forward by this project have fully considered the original and periodic research breakthroughs in optical superstructure surface. The successful implementation of this project will not only further advance the team’s position at home and abroad, but will also promote Guangdong’s keytechnologies including high-efficiency optical superstructure materials, optical holographic imaging tunable optical superstructure surfaces, advanced optical design, high-precision optical measurement technology, and high-precision large-area micro-nano processing manufacturing.

Original Text: Office of Research

English Text: Chris Edwards, Fan Yining, Xia Yingying

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