Hi, I’m Nicholas Mamo, and I am a doctoral student in Artificial Intelligence at the University of Malta.
I started this blog because research is rarely accessible. On this blog, I want to share my research and work in a way that anyone can understand it.
My research area is Artificial Intelligence and, more specifically, Topic Detection and Tracking. In other words, I create algorithms that create event timelines.
I have been studying about Artificial Intelligence since 2014. When it was time for my undergraduate dissertation, I picked Topic Detection and Tracking as the subject. I did the same In 2018 for my postgraduate degree, and today it’s the focus of my doctoral degree. This blog is where I write about my research in this area and other projects. You can read more about why I started this blog in this post.
Have a question? Get in touch on nicholasmamo@gmail.com!
Publications
- 2021: An Automatic Participant Detection Framework for Event Tracking on Twitter. Published in the Algorithms journal.
- 2020: Dwarna: A Blockchain Solution for Dynamic Consent in Biobanking. Published in the European Journal of Human Genetics. Picked as the Editor’s Choice.
- 2019: ELD: Event TimeLine Detection—A Participant-Based Approach to Tracking Events. Published in the Proceedings of the 30th ACM Conference on Hypertext and Social Media, based on my postgraduate dissertation
- 2017: FIRE: Finding Important News REports. Published in the International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, based on my undergraduate dissertation.
Projects
- Multiplex: An open-source Python visualization library, inspired by Cole Nussbaumer Knaflic’s Storytelling with Data. This package, built on matplotlib, is designed to make it easy to create beautiful visualizations from data.
- ELD: A Topic Detection and Tracking system and the final output from my postgraduate degree. Related publication: ELD: Event TimeLine Detection—A Participant-Based Approach to Tracking Events.
- Dwarna: A portal that makes it easier for participants to contribute to research, and for researchers to communicate with participants. Related publication: Dwarna: A Blockchain Solution for Dynamic Consent in Biobanking.