Zohair Shafi

(he/him/his)

PhD Student

Zohair Shafi
  • Machine learning
  • Network science
  • Graph embeddings
  • Artificial intelligence
  • Ethics in AI
  • Security and privacy
  • BE in Computer Sciences, PES Institute of Technology — India

Zohair Shafi is a doctoral student in the Khoury College of Computer Sciences at Northeastern University, advised by Tina Eliassi-Rad.

Shafi's doctoral research, which he began in 2021 and expects to complete in 2026, focuses on machine learning and network science, with an emphasis on interpretability, robustness, and application to combinatorial optimization problems.

Before joining Khoury College, Shafi worked as a performance engineer at Akamai Technologies. His work titled "REGE: A Method for Incorporating Uncertainty in Graph Embeddings,” co-authored with Eliassi-Rad and other Khoury students, was published at the SIAM Data Mining Conference in 2025.  

  • Explaining Node Embeddings

    Citation: Zohair Shafi, Ayan Chatterjee, Tina Eliassi-Rad. (2025). Explaining Node Embeddings Trans. Mach. Learn. Res., 2025. https://openreview.net/forum?id=QQZ8uPxFb3

  • PATHATTACK: Attacking Shortest Paths in Complex Networks

    Citation: B.A. Miller, Z. Shafi, W. Ruml, Y. Vorobeychik, T. Eliassi-Rad, S. Alfeld. "PATHATTACK: Attacking Shortest Paths in Complex Networks". In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September 2021.