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Introduction to School of Life Sciences and Technology

更新时间:2015-08-03 01:13 点击:
  

As an institution for interdisciplinary teaching and research in biomedical and biological technology, the School of Life Sciences and Technology (SLST) started in 1995 as the Biomedical Engineering Department in the School of Electronics Engineering. In 2006, the ‘Life Sciences Research Center’ (LSRC) was founded with the research focus on biomedical imaging. The SLST was formed in 2009 as the merger of the Biomedical Engineering Department and LSRC.

 Academic Programs

The SLSR has a strong focus on education through research and course work, and provides this education at the different levels. These include BE in Biomedical Engineering, BS in Biological Technology, ME in Biomedical Engineering, PhD in Pattern Recognition and Intelligent System, and PhD in Signal and Information Processing.

Faculty

The SLSR faculties are recipients of many awards and honors and are renowned for their contributions to fundamental and applied research in biomedical imaging and related fields. By 2011, the total number of faculty is 25, all with the PhD degrees, including 3 Professors and 9 Associate Professors.

Organization

Departments
Ø  Department of Biomedical Engineering
Ø  Department of Biological Technology
Instructional and Research Laboratories
Ø  Biomedical Engineering Laboratory
Ø  Biological Technology Laboratory
Ø  Molecular Imaging Laboratory
Ø  Neural Imaging Laboratory

 

Research

Ø  Molecular Imaging: The term molecular imaging can be broadly defined as the in vivo characterization and quantification of biological processes at the cellular and molecular levels via an imaging method. It has been widely used for early diagnosis, therapeutic effect supervision and dynamic pesticide effect evaluation, and opened a new world for basic biology and clinical medicine research. Optical molecular imaging has become a hot topic in the field due to its significant advantages of imaging sensitivity and specificity, temporal resolution, and cost-effectiveness. The Molecular Imaging Group (MIG) is composed of members from engineering, biology and mathematics, including two professors, one associate professor, seven assistant professors and five distinguished professors. MIG possesses the molecular imaging and the biotechnology laboratories, which have a sophisticated software platform, imaging system and conditions for biological experiments. The predominant research concern of MIG is to address the fundamental and applied issues in optical molecular imaging, including imaging theory and algorithms, the development of imaging system and software platform, and the application of molecular imaging techniques in cancer research and drug development.
Ø  Functional Imaging and Computational Neuroscience: The functional Imaging and Computational Neuroscience Group (FICN) has dedicated long-term devotion to cognitive neuroscience, biological signal analysis and related research. Our current research interests cover neural mechanisms of acupuncture and internet addiction using functional magnetic resonance imaging (fMRI) and biological signal monitor devices. Chinese acupuncture comprises a major part of Traditional Chinese Medicine and its efficiency has been widely accepted in oriental and western societies. However, the neural mechanism of acupuncture is incompatible with modern scientific basis. Our group has contributed constant efforts in this area and has a number of publications in the past five years. On the other hand, internet addiction has become a major social issue. It has exerted negative influences over teenagers’ psychological and physical conditions. The studies on this issue are still in their early stages. Our team is one of the pioneers initiating related studies using behavioral and neuroimaging approaches. This FICN team has six young and enthusiastic members, most of them are no more than thirty years old.
Ø  Biometric recognition and encryption: Biometrics has the advantages of universality, uniqueness and stability. Based on these physiological or behavioral characteristics, we mainly focus on the following two research fields: 1) individual identification and authentication; and 2) biometric-based data encryption algorithms and remote authentication methods combining a cryptograph. Biometric-based recognition and encryption techniques can prevent some common security problems. The Biometric Recognition and Encryption (BRE) group members come from the areas of pattern recognition and cryptography, which has published more than 30 papers and obtained 3 authorized patents. The team has two professors, one associate professor and two assistant professors. The team independently developed an automatic fingerprint identification algorithm that ranked No. 3 in the world and No. 1 in China, in the Third International Fingerprint Verification Competition (FVC 2004).

 

Administrative 

Dean: Professor Jie Tian, Email: tian@mail.xidian.edu.cn

Vice Dean: Professor Jimin Liang, Email: liang@life.xidian.edu.cn

Office Manager: Mrs. Lili Jiang, Email: jianglili@life.xidian.edu.cn


 Contact Us

School of Life Sciences and Technology

Xidian University

P.O.Box 0528

266 Xinglong Section of Xifeng Road

Xi'an, Shaanxi 710071

China

Tel: +86-29-81891070

Fax: +86-29-81891060

 
 

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