Hot Trending Topics For Research in Computer Science | Best Research Topic in For BS, MS, Mphil Phd Classes

Latest Research Topics for Research in computer science Discipline

1. Artificial Intelligence.

2. Machine Learning Algorithms.

3. Deep Learning.

4. Computer Vision.

5. Natural Language Processing.

6. Role of human-computer interaction.

7. Usability in human-computer interactions.

8. AI and robotics.

9. Software engineering and programming.

10. Block chain.

11. Various applications of ML ranging: Healthcare, Urban Transportation, Smart

Environments, Social Networks, etc.

12. Autonomous systems.

13. Robotics.

14. Software Engineering

15. Data Privacy and Security.

16. Big Data

17. IoT

18. Light weight and Battery efficient Communication Protocols.

19. Sensor Networks

20. 5G and its protocols.

21. Quantum Computing.

22. Cryptography.

23. Cyber security

24. Bioinformatics/Biotechnology

25. Computer Vision/Image Processing

26. Cloud Computing

Other good research topics for in computer science

• Merits and demerits of cloud storage.

• Software development for portable gadgets.

• How is open source competing with paid software?

• Banking security and ATMs.

• Robotic manipulation modelling.

• Research in wireless sensor networks.

• Research on how AI and deep learning are changing the healthcare industry.

• Is scrum methodology the best of best?

• Assurance in computer security and information.

• E-Heath data privacy concerns.

• Peer-to-peer confidentiality in social applications.

• Algorithmic mechanism design, algorithmic game theory, approximation algorithms.

• Enhancement of Mobile App Accessibility

1. Artificial intelligence and robotics

Artificial intelligence (AI) – one of the most controversial and intriguing areas of computer

Science research. The technology is still in its early stages, but tech giants like Facebook,

Google and IBM are investing huge amounts of money and resources into AI research.

There’s certainly no shortage of opportunities to develop real-world applications of the

§  Technology, and there’s immense scope for break-through moments in this field.

§  Machine learning

• the classification technique for the face spoof detection in an artificial neural  Network.
• Neuromorphic computing computer vision.
• Online fraud detection.
• The purpose technique for prediction analysis in data mining.
• Virtual personal assistant’s predictions.

2. Big data analytics

From banking to healthcare, big data analytics is everywhere, as companies increasingly

Attempt to make better use of the enormous datasets they have, in order to personalize and

Improve their services.

Big data

• ·        big data adoption and analytics of a cloud computing platform.
• ·        Identify fake news in real-time.
• ·        Neural machine translation to the local language.
• ·        Lightweight big data analytics as a service.
• ·        automated deployment of spark clusters.

3. Computer-assisted education

The use of computers and software to assist education and/or training, computer-assisted

Education brings many benefits and has many uses. For students with learning disabilities, for

Instance, it can provide personalized instruction and enable students to learn at their own

Pace, freeing the teacher to devote more time to each individual. The field is still growing but

Promising, with many educators praising its ability to allow students to engage in active,

Independent and play-based learning.

 

4. Bioinformatics

A fascinating application of big data, bioinformatics, or the use of programming and software

Development to build enormous datasets of biological information for research purposes,

Carries enormous potential. Linking big pharma companies with software companies,

Bioinformatics is growing in demand and offers good job prospects for computer science

Researchers and graduates interested in biology, medical technology, pharmaceuticals and

Computer information science.

Bioinformatics

• Modeling Biological systems.
• Analysis of protein expressions.
• Computational evolutionary biology.
• Genome annotation.
• Sequence Analysis.

5. Cyber security

We live in a hyper-connected world, in which absolutely everything – from banking to dating

To governmental infrastructure – is done online. In today’s world, data protection is no longer

Optional, for either individuals or nations, making this another growing strand of computer

Science research.

Cyber security

•  most enormous data breach in the 21st century.
•  Understanding authorization infrastructures.
•  Cyber security while downloading files.
•  Social engineering and its importance.

Internet of things

•  Adaptive systems and model at runtime.
•  Machine to machine communications and IoT.
•  Routing and control protocols.
•  5G Network and internet of things.
•  Body sensors networks, smart portable devices.

Cloud computing

•  How to negotiate service level platform.
•  Backup options for the cloud.
•  Secure data management, within and across data centers.
•  Cloud access control and key management.
•  secure computation outsourcing

Conclusion 

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