Advanced Data and Machine Intelligence Systems Lab


The ADMIS (Advanced Data and Machine Intelligence Systems Lab) group is under the Department of Computer Science & Technology , Tongji University. The group studies a broad array of topics including advanced data management and bioinformatics.

The ADMIS group has established collaboration relationships with professors and scholars from a number of universities and institutes, including National University of Singapore, City University of Hong Kong, Polytechnic University of Hong Kong, Hong Kong University, Drexel University, and IBM Watson Research Center etc.

Research topics

Data Management

Data management involves in P2P networks and other distributed environments (e.g. queries processing in P2P networks, distributed skyline computation), and data mining, including spatial clustering, text classification, outlier detection


In biology, Bioinformatics is an interdisciplinary field that develops and improves upon methods for storing, retrieving, organizing and analyzing biological data. A major activity in bioinformatics is to develop software tools to generate useful biological knowledge.

Spatial Database

A spatial database is a database that is optimized to store and query data that is related to objects in space, including points, lines and polygons. While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types.

Machine Learning

Machine learning, a branch of artificial intelligence, is about the construction and study of systems that can learn from data. For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages.

Computer Vision

Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.

Collaboration relationships

  • Fudan University
  • Drexel University
  • Hong Kong University
  • City University of Hong Kong
  • Polytechnic University of Hong Kong
  • National University of Singapore
  • IBM Watson Research Center