Mahmoudreza Babaei

Mahmoudreza Babaei is a researcher at the Max Planck Institute for Software Systems, focusing on computational social science, algorithmic fairness, and social network analysis. His research examines information propagation efficiency, trust dynamics, and divisiveness in social media ecosystems.

Research interests span social computing, data mining, and NLP, with emphasis on fairness in influence maximization, truth perception in news, and adversarial learning techniques for equitable AI systems.

Honors include the WSDM Student Travel Scholarship and visiting fellowships at KAIST. His recent publications focus on graph embeddings for fairness, time-critical influence models, and cognitive biases in information consumption.