Area of Interest / Specialization in Computer Science Engineering

Area of Interest or fields of interests are an important part of the organization of a CV. Here you list what you are studying, or what of all you have studied is your preference. Areas of interest are your specialties or concentration of what you're in process of becoming expert. They're usually also your competencies, or the areas in which you are ready to teach (or preparing to teach). 

The 'areas of Interest' section includes the areas the candidate is competent to perform in or prefers to work, within his job field. It highlights the preferred field for the candidate to work and gain expertise. For the employer it denotes the candidate's specialization in that particular area.  

Below, We listed few areas useful for selecting and provide an outline for doing own projects in the fields of Computer Science Engineering & Information Technology.

1. 0.   Big Data Analytics
   2.    Cloud, Grid and Green computing
   3.    Network Security 
   4.    Natural language processing 
   5.    Soft Computing 
   6.    Neural Network and Fuzzy logic 
   7.    Knowledge Management 
   8.    Mobile technology / Wireless technology
   9.    Digital Image Processing 
   10.  Data mining and Knowledge discovery 
   11.  Web Mining 
   12.  Parallel Algorithm and Processing 
   13.  Mobile and Pervasive computing 
   14.  Sensor networks 
   15.  Embedded system 
   16.  Distributed system 
   17.  Real-time System 
   18.  Artificial Intelligence and robotics 
   19.  Adhoc Networks 
   20.  Ontology and Semantic web services 
   21.  Cryptography and Steganography 
   22.  Enterprise Information System 
   23.  Android technology 
   24.  Cloud security 
   25.  Cyber security 
   26.  Mems  
   27.  Automated reasoning 
   28.  Machine learning 
   29.  Quantum Information processing  
   30.  Digital Content and media sciences  
   31.  Video Content analysis  
   32.  Software engineering  
   33.  Multimedia Systems
   34.  Computational linguistics  
   35.  Virtualization  
   36.  Collaborative networks  
   37.  Scientific Computing
   38.  Intelligent Informatics
   39.  Systems biology
   40.  Chemo Informatics
   41.  Nature Inspired computing and Algorithms
   42.  XML and Web Services
   43.  Distributed Computing
   44.  Operating Systems
   45.  Information Retrieval Techniques
   46.  Opinion Mining
   47.  Mentoring
   48.  Enterprise Computing
   49.  Intrusion Detection Systems
   50.  Programming Languages
   51.  Service Oriented Architecture
   52.  Vehicular Adhoc Networks
   53.  Internet of Things (IoT)
   54.   Fault Adaptive Distributed System 
   55.  Biometrics  
   56.  Google Cloud,
   57.  Openstack
   58.  4G Wireless Networks,
   59.  Cognitive Robotics
   60.  Intelligent Mining
   61.  e-Learning
   62.  Web usage Mining
   63.  Web Personalization
   64.  Web Log Mining
   65.  Face recognition
   66.  Computer Vision 
   67.  Machine learning
   68.  Pattern Recognition
   69.  Human Computer Interaction & Usability
   70.  Information Assurance & Network Security
   71.  SoC
   72.  Database Systems
   73.  Audio and Speech Processing
   74.  Automotive Electronics
   75.  Bioinformatics and Biomedical computing
   76.  Bio-signal Processing
   77.  Cluster Computing
   78.  Computer Vision
   79.  Medical Image Processing
   80.  Pattern Recognition
   81.  Remote Sensing and GIS Applications
   82.  Scheduling and Optimization Techniques
   83.  Smart Grid Technology
   84.  Web Technology 

 Note : Subjects Studied not considered blankly as Area. Find more info by searching the keywords presented above.
Collection & Contribution : Suganya Ravi & Priyadharshini, Information Technology, Angel college of Engineering & technology.

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