Iason Ofeidis

Iason Ofeidis

(he/him)

Ph.D. Candidate, Electrical & Computer Engineering

Yale University

Yale Institute for Network Science

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 interned at Nokia Bell Labs (Networking Research, 2025) and was a Research Engineer at the Yale Institute for Network Science (YINS). Earlier, I was a Research Assistant at the Centre for Research & Technology Hellas (CERTH)/INAB.

I am seeking research internship opportunities for Summer 2027.

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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

Experience

Networking Research Intern

Nokia Bell Labs, Murray Hill, NJ

Built CLAD, a clustered federated learning framework for IoT anomaly detection and attack classification.

Graduate Researcher

Yale University

Split and federated learning for multimodal systems under communication constraints.

Research Engineer

Yale University

Data-loader benchmarking and blockchain analytics.

Research Assistant

CERTH/INAB

Bioinformatics software engineering and CI/CD automation.

Education

Ph.D., Electrical & Computer Engineering

Yale University

Expected May 2028. Advisor: Prof. Leandros Tassiulas. Selected courses: Intermediate Machine Learning, Distributed Systems, Graph Neural Networks, Big Data Systems.

M.Eng., Electrical & Computer Engineering (Telecommunications)

Aristotle University of Thessaloniki

Diploma thesis on predicting smartphone users’ emotional state from keystroke characteristics using machine learning. Advisor: Prof. Leontios Hadjileontiadis.
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.

I. Ofeidis, L. Tassiulas (2026). Contribution-Aware Bandwidth Allocation for Multimodal Split Learning. arXiv.
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I. Ofeidis, N. Papadis, R. Bhatia, L. Tassiulas, T. V. Lakshman (2026). CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification.
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I. Ofeidis, I. Panitsas, L. Tassiulas (2026). FedJam: Multimodal Federated Learning Framework for Jamming Detection. IEEE INFOCOM.
PDF Code Dataset
I. Ofeidis, D. Kiedanski, L. Tassiulas (2024). An Overview of the Data-Loader Landscape: Comparative Performance Analysis. IEEE Big Data.
PDF Code
G. Palaiokrassas, S. Scherrers, I. Ofeidis, L. Tassiulas (2024). Leveraging Machine Learning for Multichain DeFi Fraud Detection. IEEE ICBC.
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A. Mudvari, A. Vainio, I. Ofeidis, S. Tarkoma, L. Tassiulas (2024). Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency. ACM TOIT.
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A. Kyriazis, I. Ofeidis, G. Palaiokrassas (2023). Monetary Policy, Digital Assets, and DeFi Activity.
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