Assistant Researcher
Dimitrios GIAKATOS
I work on bridging the gap in Internet data knowledge for people from various domains and non-technical users.
Research Topics
I am currently working on enhancing Internet data accessibility for non-technical users by implementing a natural language interface. This tool simplifies data access for policymakers and regulators, allowing them to easily retrieve and comprehend Internet-related information.
About
I studied computer science at Aristotle University of Thessaloniki in Greece, where I completed my B.Sc. in 2021 after writing my thesis at the Data and Web Science Lab. For my master's thesis, I focused on estimating polarization in networks with missing links, which I completed in 2023 at the same lab. Following this, I continued my work as an assistant researcher at the Data and Web Science Lab before joining IIJ in 2024.
Professional Activities
IIJ Engineers Blog
- Creating a fairy tale using an LLM, July 2024
- The era of Large Language Models (LLMs), June 2024
Service
- Google Summer of Code, mentor for the Internet Health Report (2024~)
- WIDE Project, member (2024~)
Publications
Conference Publications
- ENCOVIZ: An open-source, secure and multi-role energy consumption visualisation platform. Efstratios Voulgaris, Ilias Dimitriadis, Dimitrios Giakatos, Athena Vakali, Athanasios Papakonstantinou, and Dimitris Chatgigiannis. In 14th International Conference on Information, Intelligence, Systems & Applications (IISA), July 2023.
- Benchmarking graph neural networks for Internet routing data. Dimitrios Giakatos, Sofia Kostoglou, Pavlos Sermpezis, and Athena Vakali. In Proceedings of the 1st International Workshop on Graph Neural Networking (CoNEXT Workshops), December 2022.
Journal Publications
- Analyzing Large-Scale Political Discussions on Twitter: The Use Case of the Greek Wiretapping Scandal (#ypoklopes). Ilias Dimitriadis, Dimitrios Giakatos, Stelios Karamanidis, Pavlos Sermpezis, Kelly Kiki, and Athena Vakali. In Journalism and Media (MDPI), September 2024.
- LifeSnaps, a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari, and Sarunas Girdzijauskas. In Scientific Data (Nature), October 2022.
Poster Publications
- PyPoll: A python library automating mining of networks, discussions and polarization on Twitter. Dimitrios Giakatos, Pavlos Sermpezis, and Athena Vakali. In Companion Proceedings of the ACM Web Conference (WWW), April 2023.
- WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization. Dimitrios Giakatos, Sofia Yfantidou, Stefanos Efstathiou, and Athena Vakali. In IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom), March 2022.
Contact
E-mail: [firstname]@iij.ad.jp