Iason Ofeidis
(he/him)
Ph.D. Candidate, Electrical & Computer Engineering
Professional Summary
I’m a Ph.D. candidate in Electrical and Computer Engineering at Yale, advised by Prof. Leandros Tassiulas. My research sits at the intersection of AI and networked systems, with a focus on Collaborative Learning (Federated, Split) for multimodal models under communication and compute constraints. Before the Ph.D., I was a Research Engineer at the Yale Institute for Network Science (YINS), and earlier a Research Assistant at the Centre for Research & Technology Hellas (CERTH)/INAB.
Education
Ph.D., Electrical & Computer Engineering
2023 – 2028
Yale University
M.Eng., Electrical & Computer Engineering (Telecommunications)
2015 – 2020
Aristotle University of Thessaloniki
Interests
Split Federated Learning
Edge AI / Multimodal Systems
Distributed & Federated Learning
Networked Machine Learning Systems
Contact: iason.ofeidis <at> yale.edu
Awards
Yale GSAS Student Fellowship
Yale Graduate School of Arts and Sciences ∙
August 2023
Graduate fellowship for Ph.D. studies in Electrical & Computer Engineering.
Gerondelis Foundation Award
Gerondelis Foundation ∙
January 2023
Award supporting graduate studies at Yale.
Publications
Also available on Google Scholar.
(2026).
FedJam: Multimodal Federated Learning Framework for Jamming Detection.
IEEE INFOCOM.
(2024).
An Overview of the Data-Loader Landscape: Comparative Performance Analysis.
IEEE Big Data.
(2024).
Leveraging Machine Learning for Multichain DeFi Fraud Detection.
IEEE ICBC.