Project

Research and innovation screening tool

Publisher

Supervisor

Location

Greater Copenhagen area

When proposing new research or business ideas, one must cover substantial publication or patent material in order to ensure it is indeed new. Often, researchers look mainly at publications whereas industry tend to look at patents, though both sources contain such information, and increasingly so as industries tend to work in a more research based manner.

This project aims to look at how we can combine publication and patent information in order to answer questions like which authors/players are dominant for a given subject? What are the hubs (networks) for a subject? How are the publication and patent data interlinked (or not) for a given subject? Which university-company collaborations are visible through the patents and publications data?

A subset of data used for this study could e.g. be retrieved using scholar.py (on Github) for retrieval of Google Scholar data and patent data could e.g. be retrieved using the PatentsView API. Other data sources are also available and can be considered.

We will specify particular examples of interest, like e.g. 3d printers, additive manufacturing, or digital twins.

Text mining, bag of words, recurrent neural nets, transfer learning, network analysis or machine learning methods can be used to make visualizations and analyses to answer key questions and combine the data sources.

In collaboration with

General Electrics, US

Requirements

The student should be familiar with machine learning and text mining methods/deep learning, and preferably also network analysis.

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Contact

Company / Organization

DTU Compute

Name

Line Katrine Harder Clemmensen

Position

Lektor

Mail

lkhc@dtu.dk

Supervisor info

MSc in Digital Media Engineering

Supervisor

Line Katrine Harder Clemmensen

ECTS credits

30 - 35

Type

MSc thesis

MSc in Computer Science and Engineering

Supervisor

Line Katrine Harder Clemmensen

ECTS credits

30 - 35

Type

MSc thesis

MSc in Mathematical Modelling and Computation

Supervisor

Line Katrine Harder Clemmensen

ECTS credits

30 - 35

Type

MSc thesis

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

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2800 Kgs. Lyngby

Denmark



Tlf. (+45) 45 25 25 25

CVR-nr. 30 06 09 46

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