Statistics on the research direction of Computer Science

Computer science is generally called Computer Science and Technology in Chinese universities. Although it is often referred to as CS (computer science), in a sense, CS outside China should be a part of CS in China. Many major settings were not scattered in China during the undergraduate course period. At the graduate stage, it is generally divided into three parts: computer application, computer software and theory, and computer architecture. However, there is usually a crossover between different laboratories.

The lab has a report on statistics on computer science research. Think about the demands of many friends, such as those who are interested in computer science, or undergraduate students who are facing postgraduate entrance exams. You may be aware of the general direction summary table.

Professional research orientation of system structure:

1. Parallel/distributed processing and high-performance computer systems;

2. Advanced Computer results and network computing;

3. Reconfigurable and scalable systems;

4. Synchronous communication between high-performance storage systems and processors;

5. Parallel compilation technology;

6. Parallel debugging technology;

7. Fault Tolerance, availability, and reliability technologies for parallel and distributed systems;

8. Theory and Technology of the results of instruction and Parallel Processing (ILP) systems;

9. The Theory and Technology of the parallel architecture of symmetric multi-processor (SMP;

10. Implementation of the cluster parallel processing architecture, interconnection technology, programming environment, and computing-intensive applications in the cluster system;

11. System Structure of superscript (VLIW;

12. Multithreading mechanism;

13. Parallel processing technology;

14. Parallel Algorithms and environments;

15. Parallel distributed algorithms;

16. Various parallel and distributed software, tools and environments;

17. New computer system mechanism and language for distributed and multi-machine systems;

18. Research on the Construction Method of Computer System Architecture Software Simulation Environment;

19. Research on the architecture model and storage technology of mainstream parallel machines;

20. Research on High-performance communication mechanisms and policies;

21. Distributed Resource Management, fault recovery, Dynamic Process Migration, distributed access control technology

22. Research on Key Technology at the command level;

23. Research on Lattice computing models and architecture;

24. Parallel distributed computing models in workstation clusters, networks, grids, and other environments;

25. Visual parallel programming environment;

26. Large-scale scientific and engineering computing;

27. The structure of the large-scale system and the Proteus technology;

28. Chip design;

29. Collaborative work supported by computers)

30. Embedded technology and its application;

31. Research on the overall design method, technology and application of embedded systems;

32. Research on Software and Hardware function allocation algorithms, software and hardware collaborative verification, and collaborative simulation methods of embedded systems;

33. Embedded microprocessor design;

34. Embedded Operating System;

35. Computing network and its applications;

36. High-speed Interconnection Network;

37. Knowledge Processing, network architecture, and network management in the network computing environment;

38. Transmission and processing of multimedia information over the network;

39. High-speed computer network and network service quality;

40. Network Interconnection and protocol testing;

41. Network information security;

42. Manage Information System and network information retrieval;

43. New High-performance computer systems and their software technologies;

44. Computer network technology and applications;

45. Smart Card Technology;

46. Information security and password;

47. Research on the Routing and Wavelength Assignment Algorithms in WDM network.

Application Technology:

1. Artificial Intelligence;

2. Intelligent Control Robot;

3. Computer Vision, voice and multimedia information processing;

4. Artificial Intelligence and multimedia technology;

5. Computer linguistics, machine translation and natural language understanding;

6. Computer Graphics and visualization technologies;

7. Automation of computer and large-scale design.

8. Large-scale integrated circuits and computer aided design of micro-electronics systems, new devices and new structured integrated circuits and their physical basis.

9. Computer Network Technology and Applications

10. Information security technology and application

11. Database technology, data warehouse technology and application;

12. Parallel Computing

13. Computer Science Theory

14. Computer Application Support technology;

15. Computer Applications in the information industry;

16. Computer Application in the manufacturing industry;

17. Development technology of computer application software in various fields;

18. Computer Integration Technology and distributed computing environment;

19. Brain-like Computing Theory and brain-like computer;

20. Intelligent Information processing;

21. Data and knowledge management;

22. Web technology software engineering and environment.

23. CIMS and other advanced manufacturing technologies

24. Network Multimedia

25. Operating System

26. Collaborative working environment in the interconnected network;

27. Implementation and multimedia technology;

28. Engineering and process engineering;

29. Interconnected network architecture;

30. Information security technology;

31. Fault Tolerant computing technology;

32. Computer Application Engineering;

33. Virtual Environment;

34. Middleware and software applications of IPv6 protocol;
    

35. Implementation and multimedia technology;

36. Development and Application of Micro-processing: development of embedded devices (Medical Devices (cancer control devices, hottherapy devices, etc.) and Encryptors (E1 and DDN; develop analogy reasoning components (which can be used as an independent analogy Problem Solving System or embedded into other artificial intelligence systems ).

37. Remote teaching;

38. Multi-database system integration technology research;
39. BDI modeling with intention as the core;
40. Mas architecture and Cooperation Planning Based on robot soccer;
41. Policy Collaborative Learning in MAS;
42. Internet Information Retrieval and user modeling based on multi-subject Technology

43. Machine Learning

44. Computing Intelligence:
    • Theory and Application of Genetic Algorithms;
    • Basic Principles and Applications of immune Models and Algorithms;
    • Theory and Application of artificial neural networks;
    • Intelligent Network Information Retrieval and data mining.
45. Language Information Processing

Computer software:

1. Software Engineering and methods;
2. Database and knowledge engineering;
3. Computer Graphics and computer aided design;
4. Data security.
5. System software (operating system, editing system, real-time system );
6. Software Engineering and environment;
7. Distributed Object Computing;
8. Parallel and distributed processing;
9. Semantic Theory and Application (Natural Language and programming language );
10. Reasoning technology;
11. Parallel theory;
12. Type theory and application;
13. Computational semantics;
14. Theoretical Research of CAD/CAM technology and development of software development platform of CAD/CAM system;
15. Multi-disciplinary Application Research on numerical simulation in engineering and scientific computing;
16. Computer Graphics and CAD;
17. Research on group and network technology;
18. Embedded Database;
19. E-commerce;
20. Computer networks and information systems;
21. Theoretical and Technical Research on Software reconstruction engineering;
22. Research on the formal methods and CASE tools of Software Specification Description.
23. Formal Method: Application Research of formal semantics, algebraic norms, Fan Xi theory, attention theory and rewriting technology;
24. Research on Software System structure;
25. The programming language is designed for implementation.
26. Scalability and complexity;
27. Various efficient and practical computing models;
28. Efficient and practical algorithms that are generally difficult to solve;
29. Practical Engineering Algorithms for large-scale application-oriented and difficult-to-solve problems;
30. Engineering Algorithm integration and corresponding software architecture;
31. Engineering Algorithm analysis and evaluation system.

Keywords:

The computing system structure is mainly concentrated in:

A)

Parallel Computing,

Grid computing,

Concurrent processing of large and medium-sized computers,

Cluster,

Storage and compilation Technologies

B)

Embedded Architecture Design

Embedded Operating System Design

Embedded Processor Design

C)

Large-scale/eda/SOC

D)

Network,

Network Service Quality

Network Security

 

Computer Applications are mainly concentrated in

A)

Artificial intelligence, Computing Intelligence, language recognition, language processing, and Pattern Recognition

B)

Graphics

C)

Parallel Computing

D)

IC/eda/SOC, Integrated Circuit

E)

Virtual Reality

F)

Database

G)

Information Security

H)

Multimedia

I)

Computer Industry Application Research

J)

Network Collaboration and protocols

K)

Operating System

 

Computer software mainly includes:

Research on Engineering Application

Software Engineering

Database

Parallel and distributed processing

Research on various computing models and software models

Note: This article is an individual's understanding of the subject, so it does not represent any authority. errors are inevitable and only for reference.
This article is mainly collected from the Internet and Northeastern University, so it is not universally representative. It can be used as a basic reference in China. The keyword can be used to grasp a keyword, that is, the accomplishments. The two keywords are the ox.