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.
Collection & Contribution : Suganya Ravi & Priyadharshini, Information Technology, Angel college of Engineering & technology.
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.
- 0. Big Data Analytics2. Cloud, Grid and Green computing3. Network Security4. Natural language processing5. Soft Computing6. Neural Network and Fuzzy logic7. Knowledge Management8. Mobile technology / Wireless technology9. Digital Image Processing10. Data mining and Knowledge discovery11. Web Mining12. Parallel Algorithm and Processing13. Mobile and Pervasive computing14. Sensor networks15. Embedded system16. Distributed system17. Real-time System18. Artificial Intelligence and robotics19. Adhoc Networks20. Ontology and Semantic web services21. Cryptography and Steganography22. Enterprise Information System23. Android technology24. Cloud security25. Cyber security26. Mems27. Automated reasoning28. Machine learning29. Quantum Information processing30. Digital Content and media sciences31. Video Content analysis32. Software engineering33. Multimedia Systems34. Computational linguistics35. Virtualization36. Collaborative networks37. Scientific Computing38. Intelligent Informatics39. Systems biology40. Chemo Informatics41. Nature Inspired computing and Algorithms42. XML and Web Services43. Distributed Computing44. Operating Systems45. Information Retrieval Techniques46. Opinion Mining47. Mentoring48. Enterprise Computing49. Intrusion Detection Systems50. Programming Languages51. Service Oriented Architecture52. Vehicular Adhoc Networks53. Internet of Things (IoT)54. Fault Adaptive Distributed System55. Biometrics56. Google Cloud,57. Openstack58. 4G Wireless Networks,59. Cognitive Robotics60. Intelligent Mining61. e-Learning62. Web usage Mining63. Web Personalization64. Web Log Mining65. Face recognition66. Computer Vision67. Machine learning68. Pattern Recognition69. Human Computer Interaction & Usability70. Information Assurance & Network Security71. SoC72. Database Systems73. Audio and Speech Processing74. Automotive Electronics75. Bioinformatics and Biomedical computing76. Bio-signal Processing77. Cluster Computing78. Computer Vision79. Medical Image Processing80. Pattern Recognition81. Remote Sensing and GIS Applications82. Scheduling and Optimization Techniques83. Smart Grid Technology84. Web Technology
Collection & Contribution : Suganya Ravi & Priyadharshini, Information Technology, Angel college of Engineering & technology.