PhD Student
Bashir is a PhD student in the Computer Science Department at Boston University. He works with Prof. Mark Crovella and Prof. Evimaria Terzi.
He is interested in designing algorithms for large-scale data-driven problems. His work focuses on problems that arise in analyzing social and biological networks. In his research he exploits tools from various areas including Optimization, Statistical Inference, and Machine Learning.
In recent years, he has been working on problems related to fairness, transparency, and privacy in algorithmic decision-making systems.
Before joining BU, Bashir was a research assistant at the Fraunhofer institute. He received his M.Sc. in computer science from University of Bonn in Germany, and his B.Sc. in computer engineering from University of Isfahan in Iran.
Selected Publications
Rastegarpanah, Bashir, Krishna P. Gummadi, and Mark Crovella. “Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.”
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. ACM, 2019.
Rastegarpanah, Bashir, Mark Crovella, and Krishna Gummadi. “Exploring explanations for matrix factorization recommender systems.”
Proceedings of the FATREC Workshop on Responsible Recommendation. 2017.
Bauckhage,Christian, Kristian Kersting, and Bashir Rastegarpanah. “The Weibull as a model of shortest path distributions in random networks.”
Proc. Int. Workshop on Mining and Learning with Graphs, Chicago, IL, USA. 2013.