documents/docs/index.md

Intro

IDP Theme

IDP Theme： Developing a Literature Research Tool that Automatically Search Literature and Summarize the Research Trends.

Objective

In this IDP, we are going to develop a literature research tool that enables three functionalities:

1. Automatically search the most recent literature filtered by keywords on three literature platforms: Elvsier, IEEE and Google Scholar
2. Automatically summarize the most popular research directions and trends in the searched literature from step 1
3. visualize the results from step 1 and step 2

Timeline & Milestones & Tasks

Tasks

Label	Start	End	Duration	Description
Task #1	15/11/2022	15/12/2022	30 days	Implement literature search by keywords on three literature platforms: Elvsier, IEEE, and Google Scholar
Task #2	15/12/2022	15/02/2023	60 days	Implement automatic summarization of research trends in the searched literature
Task #3	15/02/2022	15/03/2022	30 days	visualization of the tool (web app)
Task #4	01/03/2022	01/05/2022	60 days	write report and presentation

Correlation between the theoretical course and practical project

The accompanying theory courses Machine Learning and Optimization or Machine Learning for Communication teach basic and advanced machine learning (ML) and deep learning (DL) knowledge.

The core part of the project, in my opinion, is the automatic summarization of research trends/directions of the papers, which can be modeled as a Topic Modeling task in Natural Language Processing (NLP). This task requires machine learning and deep learning knowledge, such as word embeddings, transformers architecture, etc.

Therefore, I would like to take the Machine Learning and Optimization course or Machine learning for Communication course from EI department. And I think these theory courses should be necessary for a good ML/DL basis.