School of Information Science and Technology
中文
ShanghaiTech
导航
Home
About US
Vision and Mission
About SIST
Advisory Committee
SIST Committees
Dean's Welcome
Research
Research Centers
Joint Laboratories
People
Professors
Distinguished Adjunct Professors
Visiting Professors
Research Staff
Supporting Staff
Administrative Staff
Academics
SIST Curriculum
Undergraduate Teaching Affairs
Graduate Teaching Affairs
Summer Program
Our Students
News&Events
News
Events
Newsletter
Symposia
International Exchange
Job Opportunities
Faculty Recruitment
Researcher Recruitment
card
list
SIST researchers propose novel techniques for defect imaging
Electromagnetic imaging technology with array sensors is used extensively to detect defects in industries where structural integrity and safety are critical, such as aerospace, high-speed railway, pressure vessels, energy facilities and precision manufacturing. SIST Assistant Professor Ye Chaofeng and his research group in the Precision Sensing and Intelligent Testing lab (PSIT) have designed two novel probes and testing systems for the imaging of defects. Both achievements were recently publish
2021-02-08
News
Important progress made by SIST in the field of computer data storage
Data storage is one of the fundamental systems in computer architecture. There are a variety of data structures to implement data indexing at a high speed in a computer system. B+-Tree, a data structure designed for disks and single-core processors proposed in the 1970s, is currently still indispensable in many databases and file systems. One of the promising data storage devices to transplant and deploy B+-Tree is non-volatile memory (NVM), which has attracted wide attention in recent years, as
2021-02-04
News
Multiple important papers by SIST published in the mainstream journals in the area of power and energy
The Center for Intelligent Power and Energy Systems (CiPES) of SIST is a subdivided research group focusing mainly on the study of electric power and energy. It studies topics including power generation, transmission/distribution, storage and utilization, and aims to propose reliable, efficient, low-carbon and intelligent power solutions for the sustainable development of domestic energy. Recently, CiPES published three papers addressing topics in Internet of Things (IoT) energy harvesting, powe
2021-01-11
News
CAS Academician Jiang Hualiang gave a seminar at SIST, ShanghaiTech University on drug discovery and development based on artificial intelligence
On December 23, 2020, School of Information Science and Technology (SIST) of ShanghaiTech University invited Professor Jiang Hualiang, the Former Director of the Shanghai Institute of Materia Medica, Chinese Academy of Sciences (CAS), Distinguished Adjunct Professor of the Shanghai Institute for Advanced Immunochemical Studies (SIAIS) of ShanghaiTech, and the Academician of the CAS, to give a seminar entitled Drug Discovery and Development based on Artificial Intelligence. The seminar was hosted
2021-01-08
News
The METAL group of SIST proposed a new kinetic energy harvesting circuit design
Ambient energy harvesting technology provides the most promising energy solution for future battery-less, ubiquitous, and maintenance-free Internet of Things (IoT) devices. Among all types of ambient energy sources, mechanical kinetic energy can be better associated with human and machine movements, as there is plenty of motion information combined with the mechanical movements of parts. The research on kinetic energy harvesting and its applications in future battery-less IoT devices has attract
2021-01-08
News
Research group made an important advance in the scheduling mechanism of intelligent networks
Professor Shao Ziyu’s research group of SIST made an important advance in intelligent networking, addressing the following challenge: “How to systematically design effective predictive scheduling algorithms for intelligent networks?” Their results, of high importance to recent software-defined networking (SDN) systems, were published in an article entitled “Predictive Switch-Controller Association and Control Devolution for SDN Systems” which was accepted by theIEEE/ACM Transactions on Networkin
2020-12-25
News
SIST Makes Progress in Model Reduction for High-Dimensional Computational Models
In the past two years, two novel model reduction methods for high-dimensional stochastic computational models were proposed by the Visual and Data Intelligence Center (VDI Center) of SIST. The first method, proposed in the article entitled “Rank adaptive tensor recovery-based model reduction for partial differential equations with high-dimensional random inputs”, provided a new systematic computational approach for a major problem in data science, which was to recover high order tensors without
2020-12-11
News
HISLab of SIST Published an Important Review Paper in the Field of Deep Learning for Photoacoustic Imaging
The Hybrid Imaging System Laboratory (HISLab) from the Smart Medical Information Research Center published a manuscript entitled “Review of deep learning for photoacoustic imaging” based on all the research using deep learning to solve various problems in photoacoustic imaging in recent years. This article has been accepted by the top journal Photoacoustics(CAS tier-1, IF: 5.870).Photoacoustic (PA) imaging combines the advantages of high optical imaging contrast and deep penetration depth of ult
2020-11-30
News
per page
8
records
total
163
records
firstpage
<<previouspage
nextpage>>
endpage
PageNumber
1
/
21
jumpto
SIST researchers propose novel techniques for defect imaging
Electromagnetic imaging technology with array sensors is used extensively to detect defects in industries where structural integrity and safety are critical, such as aerospace, high-speed railway, pressure vessels, energy facilities and precision manufacturing. SIST Assistant Professor Ye Chaofeng and his research group in the Precision Sensing and Intelligent Testing lab (PSIT) have designed two novel probes and testing systems for the imaging of defects. Both achievements were recently publish
2021-02-08
News
Important progress made by SIST in the field of computer data storage
Data storage is one of the fundamental systems in computer architecture. There are a variety of data structures to implement data indexing at a high speed in a computer system. B+-Tree, a data structure designed for disks and single-core processors proposed in the 1970s, is currently still indispensable in many databases and file systems. One of the promising data storage devices to transplant and deploy B+-Tree is non-volatile memory (NVM), which has attracted wide attention in recent years, as
2021-02-04
News
Multiple important papers by SIST published in the mainstream journals in the area of power and energy
The Center for Intelligent Power and Energy Systems (CiPES) of SIST is a subdivided research group focusing mainly on the study of electric power and energy. It studies topics including power generation, transmission/distribution, storage and utilization, and aims to propose reliable, efficient, low-carbon and intelligent power solutions for the sustainable development of domestic energy. Recently, CiPES published three papers addressing topics in Internet of Things (IoT) energy harvesting, powe
2021-01-11
News
CAS Academician Jiang Hualiang gave a seminar at SIST, ShanghaiTech University on drug discovery and development based on artificial intelligence
On December 23, 2020, School of Information Science and Technology (SIST) of ShanghaiTech University invited Professor Jiang Hualiang, the Former Director of the Shanghai Institute of Materia Medica, Chinese Academy of Sciences (CAS), Distinguished Adjunct Professor of the Shanghai Institute for Advanced Immunochemical Studies (SIAIS) of ShanghaiTech, and the Academician of the CAS, to give a seminar entitled Drug Discovery and Development based on Artificial Intelligence. The seminar was hosted
2021-01-08
News
The METAL group of SIST proposed a new kinetic energy harvesting circuit design
Ambient energy harvesting technology provides the most promising energy solution for future battery-less, ubiquitous, and maintenance-free Internet of Things (IoT) devices. Among all types of ambient energy sources, mechanical kinetic energy can be better associated with human and machine movements, as there is plenty of motion information combined with the mechanical movements of parts. The research on kinetic energy harvesting and its applications in future battery-less IoT devices has attract
2021-01-08
News
Research group made an important advance in the scheduling mechanism of intelligent networks
Professor Shao Ziyu’s research group of SIST made an important advance in intelligent networking, addressing the following challenge: “How to systematically design effective predictive scheduling algorithms for intelligent networks?” Their results, of high importance to recent software-defined networking (SDN) systems, were published in an article entitled “Predictive Switch-Controller Association and Control Devolution for SDN Systems” which was accepted by theIEEE/ACM Transactions on Networkin
2020-12-25
News
SIST Makes Progress in Model Reduction for High-Dimensional Computational Models
In the past two years, two novel model reduction methods for high-dimensional stochastic computational models were proposed by the Visual and Data Intelligence Center (VDI Center) of SIST. The first method, proposed in the article entitled “Rank adaptive tensor recovery-based model reduction for partial differential equations with high-dimensional random inputs”, provided a new systematic computational approach for a major problem in data science, which was to recover high order tensors without
2020-12-11
News
HISLab of SIST Published an Important Review Paper in the Field of Deep Learning for Photoacoustic Imaging
The Hybrid Imaging System Laboratory (HISLab) from the Smart Medical Information Research Center published a manuscript entitled “Review of deep learning for photoacoustic imaging” based on all the research using deep learning to solve various problems in photoacoustic imaging in recent years. This article has been accepted by the top journal Photoacoustics(CAS tier-1, IF: 5.870).Photoacoustic (PA) imaging combines the advantages of high optical imaging contrast and deep penetration depth of ult
2020-11-30
News
per page
8
records
total
163
records
firstpage
<<previouspage
nextpage>>
endpage
PageNumber
1
/
21
jumpto