I am a PhD student in Computer Science at the University of Cambridge, where I am advised by Prof. Cecilia Mascolo. I work in the fields of representation learning, high-dimensional sensor timeseries, and large-scale population studies.
In plain words, I develop computational models using observational data from connected devices (smartwatches, phones etc) in order to understand and predict human behaviour and health. My research is supported by Jesus College, Cambridge and the EPSRC.
Previously, during my studies I had the chance to work at multinational telcos (Telefonica R&D), internet startups (Qustodio), retail tech companies (Ocado), and research labs (CERTH). Before that, I studied Computer Science and AI in Greece.
Publications
2019
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data
Dimitris Spathis, Sandra Servia, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow
International Conference on Knowledge Discovery and Data Mining
(KDD), Anchorage, USA
Passive mobile sensing and psychological traits for large scale mood prediction
Dimitris Spathis, Sandra Servia, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow
International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Trento, Italy
Interactive dimensionality reduction
using similarity projections
Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
Knowledge-Based Systems, 165: 77-91
2018
Fast, Visual and Interactive Semi-supervised Dimensionality Reduction
Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
European Conference on Computer Vision (CEFLR workshop), Munich, Germany
2017
Diagnosing Asthma and Chronic Obstructive Pulmonary Disease with Machine Learning
Dimitris Spathis, Panayiotis Vlamos
Health Informatics Journal, 25(3): 811–827 (issue published in 2019)
Class-based Prediction Errors to Detect Hate Speech with
Out-of-vocabulary Words
Joan Serra, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn, Athena Vakali
Annual Meeting of the Association for Computational Linguistics (ALW Workshop), Vancouver, Canada
2016
A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets
Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis
Engineering Applications of Artificial Intelligence, 51: 50-57
2015
Detecting Irony on Greek Political Tweets: A Text Mining Approach
Basilis Charalampakis, Dimitris Spathis, Elias Kouslis, Katia Kermanidis
International Conference on Engineering Applications of Neural Networks, Rhodes, Greece
2014
Glocal News: An Attempt to Visualize the Discovery of Localized Top Local News, Globally
Dimitris Spathis, Theofilos Mouratidis, Spyros Sioutas, Athanasios Tsakalidis
International Conference on Conceptual Modeling, Hong Kong, China
Preprints
Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques
Dimitris Spathis
arXiv preprint, 1612.06259, 2016
Teaching
I have also taught small groups of undergrad students and evaluated their code assignments in lab sessions for the following courses:
If you're a last year (Part II) student looking for thesis projects, don't hesitate to send me an email or drop by my office (FN01). My current interests involve Generative Adversarial Networks (GANs), non-linear dimensionality reduction, and —broady— unsupervised learning for real data from wearables. Don't get scared by the fancy terms, I can be of help!Projects
Community pop references
Communitypoprefs.com is a data visualization project, where we present every pop-culture reference during the 5 seasons of the TV sitcom Community #sixseasonsandamovie.
Map out your music taste on Spotify
Visualizing my favourite songs on Spotify with statistics, non-linear dimensionality reduction and one-class learning. Published in Cuepoint Magazine .
How do popular book authors use language differently?
Text mining on Game of Thrones, Harry Potter, Hunger Games and Lord of the Rings books. Featured in Medium's Editor Picks .
Share your kid’s pictures online without worrying
Mobile app with face recognition, age estimation, & emotion recognition to blur underage people in pictures or replace their face with emotion-based emoji. Developed during HackZurich 2018.
Discover top local news globally
Glocalne.ws was a mashup of Google News and Google Maps. Unfortunately now defunct due to API discontinuance.
Composing music and text with Recurrent Neural Networks
Training deep neural networks on massive amounts of musical notation (Irish folk) and literature (Shakespeare's oeuvre) and letting them create their own art. Essay in Greek but you can still see/listen to the results.
Personal
Non-academic things about me: I love music, both playing and listening. Lately, I have been into art rock—indie folk. I am accordionist by training, but over the last years I've been playing mostly piano and ukulele. I have performed in classical orchestras, cover bands and critically acclaimed indie bands like The Children of the Oldness (aka Kore Ydro). You can listen to the album I participated, "Consortium in Amato", here. Sometimes I associate still depictions of the real world with words, lyrics or people; a subset of them is on Flickr. Lastly, and perhaps most importantly, I'm always on the lookout for ways to move items from the "non-academic list" to the "academic list"—let me know if you'd like to help!