Recent Publications
Markovian Experimental Design under Concept Drift,
Ayberk Yarkın Yıldız, Lili Su, Carlee Joe-Wong, Edmund Yeh, and Stratis Ioannidis.
NeurIPS, Sydney, Australia, 2026. [code]
DnNP: Denoising Input Uncertainty in Neural Processes,
Fatemeh Tohidian, Chengzhi Shi, Soomi Lee, Matthew Elia, Amy Mueller, Stratis Ioannidis, and Jennifer Dy.
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.
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.
