Nikola Milosevic's web page

Introduction

My name is Nikola Milosevic and I am a Research Associate at the Computer Science, University of Manchester. Currently, I work on KNOWMAK project, where I am focusing on classifying social innovation projects and extracting project attributes using text mining, natural language processing and machine learning. KNOWMAK project is funded by EU Horizon 2020 programme.

My previous research is focused on automated understanding of data from the tables in biomedical scientific literature. My PhD research focused on information extraction from tables in biomedical literature. My PhD project is currently funded by EPSRC and AstraZeneca. You can see my thesis here

For more information about me, you may visit my personal blog.

Research

My current work is around making models for classifying project whether contains social innovation component, based on the information and descriptions provided on their websites. Also, my work include some information extraction, such as extracting information about where the project is conducted and who are the actors.

Most of PhD text mining efforts are focused on the extraction of information from the main body of scientific articles. However, a significant part of information presented in literature is shown in figures and tables. For example, the key characteristics of clinical trials may be presented in a table. Processing such elements is often limited to associated textual captions, and the data presented in tables (and figures) are typically ignored. The aim of this PhD project is to explore table mining in the biomedical literature and develop a system to support curation of relevant information from tables.

The project is jointly supervised by Dr Goran Nenadic (University of Manchester) and Robert Hernandez & Cassie Gregson (AstraZeneca). It is hosted by the School of Computer Science at the University of Manchester, which was rated 2nd in the UK for research power in Computer Science in the most recent UK research assessment and joint 5th in Europe in the 2012 Academic Ranking of World Universities. The School has developed wide expertise in bio-health and clinical informatics, ranging from image processing to knowledge management, and is actively contributing to the newly established Health eResearch Centre. The project is conducted in collaboration with AstraZeneca’s R&D Information department which is responsible for ensuring the flow and use of information across R&D.

Online demos

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Publications & Presentations

Research group

Research interests

Funding

My preferred articles

Side projects

OWASP Seraphimdroid

SeraphimDroid is educational application for android devices that helps users learn about risks and threats coming from android applications and protect their pricacy.

More information: OWASP Seraphimdroid official page

Contacts

Office

Room 2.50, Kilburn Building
School of Computer Science
The University of Manchester
Manchester, M13 9PL
United Kingdom

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