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 everyone 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, and Topic Detection and Tracking since 2016—from my undergraduate degree to my postgraduate degree and now, 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 firstname.lastname@example.org!
- 2020: Dwarna: A Blockchain Solution for Dynamic Consent in Biobanking in the European Journal of Human Genetics
- 2019: ELD: Event TimeLine Detection—A Participant-Based Approach to Tracking Events in the Proceedings of the 30th ACM Conference on Hypertext and Social Media, based on my postgraduate dissertation
- 2017: FIRE: Finding Important News REports in the International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, based on my undergraduate dissertation
- Multiplex: An open-source Python visualization library built on matplotlib and 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 web portal that makes it easier for participants to sign up for research, and for researchers to stay in touch with participants. Related publication: Dwarna: A Blockchain Solution for Dynamic Consent in Biobanking.