Our faculty
Dr. Mahmoudreza Babaei
Lecturer in Business & Management
Prof. Dr. Mahmoudreza Babaei (Reza) is a lecturer in Business & Management at Forward College and teaches Business Analytics, Applied Modelling and Prediction at our Berlin campus.
Previously, he was a postdoctoral researcher in the Center of Human & Machine (CHM) department with Prof. Iyad Rahwan at the Max Planck Institute for Human Development.
He received his Ph.D. in Computer Science from the Max Planck Institute for Software Systems (MPI-SWS) in the Social Computing Research group with Prof. Krishna P. Gummadi. His research focuses on Social Networks, Data Mining, Graph Theory, Machine Learning (ML), Artificial Intelligence (AI), and Reinforcement Learning (RL).
Outcomes of his studies include consistent publications in highly competitive international conferences (e.g., ACM WSDM, AAAI, IJCAI, AAAI ICWSM, AAAI/ACM AIES, ACM FaccT) and journals (e.g., IEEE Trans. on Comp. Soc. Sys. and IEEE Trans. On Knowledge and Data Eng.)
Prof. Dr. Mahmoudreza Babaei (Reza) is also a Professor of Data Engineering and Program Director of Data Science at Gisma University of Applied Sciences.
Research Interests
- Modeling and Analysis of Online Social Networks
- Information Diffusion over Social Networks
- Data Mining, Graph Mining
- Advanced Machine Learning, Reinforcement Learning, and Large Language Models (LLMs)
- Human-AI Interaction, Ethics of AI, Fairness
Current teaching
- ST2187 Business Analytics, Applied Modelling and Prediction
Select Publications
Conference Proceedings
“Towards balanced information propagation in social media.” FRCCS 2024, Montpellier, France.
“Crosswalk: Fairness-enhanced node representation learning.” AAAI, vol. 36, 2022.
“Adversarial graph embeddings for fair influence maximization.” IJCAI, 2021.
“Analyzing biases in perception of truth in news stories.” ACM FAccT, 2019.
“Purple feed: Identifying high consensus news posts.” AAAI/ACM AIES, 2018.
“Media bias monitor.” ICWSM, vol. 12, 2018.
“Efficiency of information networks in social media.” WSDM, 2016.
“The road to popularity on Twitter.” ICWSM, vol. 10, 2016.
Journal Articles
“Fairness of time-critical influence maximization.” IEEE TKDE, vol. 35(3), 2021.
“Biases in perception of truth in news stories.” IEEE TCSS, vol. 9(3), 2021.
“Revenue maximization in social networks through discounting.” Social Network Analysis and Mining, vol. 3, 2013.
“Cascaded failures in weighted networks.” Physical Review E, vol. 84(4), 2011.
