معرفی
Ioannis Ziogas is an Assistant Teaching Professor at Georgetown University’s McCourt School of Public Policy and an Assistant Research Professor at the Massive Data Institute. His research bridges data science, machine learning, and computational social science, with a focus on applying algorithmic methods to political phenomena and interdisciplinary challenges. He holds a PhD in Political Science from the University of Florida and is pursuing a second PhD in Computer Science from the University of Auckland.
Education:
- PhD in Political Science, University of Florida
- Pursuing PhD in Computer Science, University of Auckland (NZ)
His research interests span emotion recognition in conversations, computational social science, and health informatics (e.g., Parkinson’s disease analysis via signal processing). Recent work explores hybrid recommendation systems, multimodal emotion detection, and theory-grounded threat assessment for online extremist content.
Publications emphasize AI-driven solutions in healthcare monitoring (e.g., tremor classification using IMU sensors), affective computing (e.g., bispectral speech analysis), and tourism technology. His methodological innovations include self-supervised learning frameworks and swarm-based decomposition techniques.
Lab/Affiliation: Active contributor to Georgetown’s Massive Data Institute, focusing on large-scale data applications in policy and social science.
