Results1

Obviously you do not have results at the proposal stage

You need to have some idea about what kind of data you will be collected

What statistical procedures will be used? Then you can answer question or test

your hypothesis

Discussion2

Convince your reader of the potential impact of your proposed research

You need to communicate a sense of enthusiasm and confidence without exaggerating the merits of your research

So you do not need to mention the limitation and weaknesses of the proposed research

Discussion3

It may be justified by time and financial constrains as well as by the early developmental stage of your research area

Common Mistakes4

Failure to provide the proper context to frame the research question

Failure to delimit the boundary condition for your research

Failure to cite landmark studies Failure to accurately present the

theoretical and empirical contributions by other researchers

Common Mistakes5

Failure to stay focused on the research question

Failure to develop a coherent and persuasive argument for the proposed research

Too much detail on minor issues, but not enough detail on major issues

Common Mistakes in Proposal Writing6

Too much rambling (going all over the map) without a clear sense of direction, the best proposals move forward with ease and grace like a seamless river.

Too many citation lapses and incorrect references

Too long or too short Slopping writing Failing to follow the standard style

Research Problems (Internet)7

Routing algorithms ( BGP) Communication protocols (TCP) Algorithms for intelligently

selecting a resource in the face of uncertainty

Bandwidth sensing tools Load balancing algorithms

Research Problems (Internet)8

Streaming protocols Structure of the internet Cost optimization DNS-related problems Visualization Large-scale data processing

Computer Science Fields9

Algorithms Artificial Intelligence Compilers Computational Complexity Computer Programming Computer Graphics Computer Vision

Computer Science Fields10

Cryptography Data Mining Data Structures Human-Computer Interaction Networking Operating Systems Programming Languages

Computer Science Fields11

Robotics Scientific Computing Software Engineering Steganography Type Theory