Stratis Ioannidis


Recent Publications

Markovian Experimental Design under Concept Drift
Ayberk Yarkın Yıldız, Lili Su, Carlee Joe-Wong, Edmund Yeh, and Stratis Ioannidis.
Neural Information Processing Systems (NeurIPS), Sydney, Australia, 2026.

DnNP: Denoising Input Uncertainty in Neural Processes
Fatemeh Tohidian, Chengzhi Shi, Soomi Lee, Matthew Elia, Amy Mueller, Stratis Ioannidis, and Jennifer Dy.
Neural Information Processing Systems (NeurIPS), Sydney, Australia, 2026.

Communication-Aware Distributed Edge Inference via Latent Representation Compression
Peyman Gholami, Theodoros-Thirimachos Davarakis, Teng Li, Miquel Sirera Perelló, Salil Reddy, Ayberk Yarkın Yıldız, Anish Arora, Atilla Eryilmaz, Stratis Ioannidis, Chengzhang Li, Hulya Seferoglu, and Ness Shroff.
International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), Tokyo, Japan, 2026.[code]


Research Interests

  • Machine Learning
  • Distributed Systems
  • Networking
  • Privacy
News and research highlights, google scholar profile, patents granted and pending. If you are interested in pursuing a Ph.D. in machine learning or networking, please feel free to reach out at ioannidis@northeastern.edu.


Our research has been generously supported by the National Science Foundation via the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), a CAREER award CCF-1750539 and grants CNS-2414652, CNS 2107062, CCF-1937500, IIS-1741197, IIS-1622536, NeTS-1718355, and CNS-1717213, by the Defence Advanced Research Projects Agency, as well as by a Google Faculty Research Award and a Facebook Research Award.