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If you have an area of interest, read about the existing developments, processes, researches.
Reading as much literature as possible will help you identify certain or several research gaps.
The department staff is active in supervising bachelor and master theses.
The students interested in our general research topics (software engineering, web applications, computer networks, artificial intelligence, machine learning, multi-agent systems, data analysis, soft computing, see our research groups for the complete overview) are encouraged to contact the prospective supervisors.
Scores of questions within the existing algorithm in computer science can be improved with new processes.
Natural language processing is an important field within computer science with the onset of deep learning and Artificial and Intelligence.
Always choose a topic that you are passionate about.
Your interest in the topic will help in the long run; Ph D research is a long, exhausting process and computational researches will dry you out.
There are always ways to design, implement, analyze, characterize, and classify programming languages and to develop newer languages.
In summary, it is important to keep in mind the following to choose an apt topic for your Ph D research in Computer Science: Your passion for an area of research Appositeness of the topic Feasibility of the research with respect to the availability of the resource Providing a solution to a practical problem.