Ioanna Miliou Universitetslektor
Kontakt
Namn och titel: Ioanna MiliouUniversitetslektor
ORCID0000-0002-1357-1967 Länk till annan webbplats.
Arbetsplats: Institutionen för data- och systemvetenskap Länk till annan webbplats.
Besöksadress Nodhuset, Borgarfjordsgatan 12
Postadress Institutionen för data- och systemvetenskap164 25 Kista
Forskargrupp
Om mig
I am Ioanna Miliou, a Senior Lecturer in Data Science. I am a member of the Data Science Research Group at the Department of Computer and Systems Sciences (DSV) of Stockholm University. I hold a Ph.D. in Computer Science from the University of Pisa, Italy, and a diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece.
- Current course at Stockholm University:
- FODS: Foundations of Data Science (Fall 2024-2025)
- Past courses at Stockholm University:
- DATM: Data Mining (Spring 2024-2025)
- DSHI: Data Science for Health Informatics (Spring 2023-2024)
- Supervisor at the graduate level in Data Science and Health Informatics
Research overview
My research interests lie in the fields of Data Science for Social Good, Nowcasting, and Forecasting, with the use of Big Data Analytics, Data Mining, and Machine Learning. Using Big Data deriving from everyday life as external proxies, it is possible to nowcast and forecast the evolution of phenomena whose study relies only on historical data or data that come with a significant lag. I work mainly on epidemics, healthcare, peace, and sentiment.
PhD students
Current:
- Franco Rugolon, Ph.D. student in Data Science (co-supervisor)
- Lena Mondrejevski, Ph.D. student in Data Science (co-supervisor)
Graduated:
- Maria Bampa, Ph.D. in Data Science (2024, co-supervisor)
Projects
A3S: AI-based Asthma App using Spirometer: a collaboration with Magnus Jansson Saikat Chatterjee Björn Nordlund
OrganoFeed: a collaboration with Thomas E. Winkler
Let's talk about non-verbal communication: a collaboration with Stephan Hau, Håkan Fischer, Lennart Högman, and Petri Laukka
Socioemotional perception and recognition in single individuals: a collaboration with Håkan Fischer and Petri Laukka