Maria Apostolaki

Maria Apostolaki is an Assistant Professor of Electrical and Computer Engineering at Princeton University. Her research focuses on Computing & Networking, Data & Information Science, and Security & Privacy. She is affiliated with the NetΣyn Lab and works on designing secure, reliable, and performant networked systems. Her work integrates networking, security, blockchain, and machine learning. She has published in top conferences such as ACM SIGCOMM, ACM HotNets, and IEEE Symposium on Security and Privacy. Her research has been recognized with awards including the N2Women Rising Stars in Networking and Communications and the IRTF/IETF Applied Networking Research Prize.

Maria Apostolaki is a researcher at Princeton University specializing in Networked Systems Security, ML, Neurosymbolic AI, Formal Methods, and related areas. Her work focuses on securing internet applications against routing attacks, enhancing data plane connectivity recovery, and developing frameworks for ML-based IoT network anomaly detection. She has contributed to projects such as SABRE, which protects Bitcoin against routing attacks, and Lumen, a framework for evaluating ML-based IoT network anomaly detection. Her research also explores secure collaborative route control, buffer management in datacenters, and integrating formal methods into ML-based systems for networking.