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Computer Science

D-Index
37
Citations
7475
World Ranking
10582
National Ranking
4433

Overview

Stratis Ioannidis is affiliated with Northeastern University in the United States. Their research primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence, Computer Networks and Communications, and Electrical and Electronic Engineering. Additional subfields of study include Computer Vision and Pattern Recognition, as well as Radiology, Nuclear Medicine and Imaging.

Their work covers diverse and specialized topics, including Retinopathy of Prematurity Studies, Optimization and Search Problems, Wireless Signal Modulation Classification, Domain Adaptation and Few-Shot Learning, Caching and Content Delivery, Adversarial Robustness in Machine Learning, and Complexity and Algorithms in Graphs.

Ioannidis has contributed to numerous recent publications, some of which include:

  • Deep Learning for RF Fingerprinting: A Massive Experimental Study (2020) published in IEEE Internet of Things Magazine
  • Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging (2020) published in npj Digital Medicine
  • More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting (2020) published in IEEE Communications Magazine
  • RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms (2020) published in IEEE Transactions on Vehicular Technology
  • Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection (2022) published in IEEE Transactions on Multimedia

Frequent co-authors of Ioannidis include:

  • Jennifer Dy
  • Michael F. Chiang
  • Susan Ostmo
  • J. Peter Campbell
  • Kaushik Chowdhury

Their research has been published across several venues, with multiple contributions to:

  • arXiv (Cornell University)
  • Ophthalmology Retina
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Vehicular Technology
  • ACM SIGMETRICS Performance Evaluation Review

Best Publications

  • Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

    James M. Brown;J. Peter Campbell;Andrew Beers;Ken Chang

  • Privacy-Preserving Ridge Regression on Hundreds of Millions of Records

    V. Nikolaenko;U. Weinsberg;S. Ioannidis;M. Joye

  • Optimal and scalable distribution of content updates over a mobile social network

    S. Ioannidis;A. Chaintreau;L. Massoulie

  • Deep Learning Convolutional Neural Networks for Radio Identification

    Shamnaz Riyaz;Kunal Sankhe;Stratis Ioannidis;Kaushik Chowdhury

  • Privacy-preserving matrix factorization

    Valeria Nikolaenko;Stratis Ioannidis;Udi Weinsberg;Marc Joye

  • ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks

    Kunal Sankhe;Mauro Belgiovine;Fan Zhou;Shamnaz Riyaz

  • Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting

    Amani Al-Shawabka;Francesco Restuccia;Salvatore D'Oro;Tong Jian

  • Deep Learning for RF Fingerprinting: A Massive Experimental Study

    Tong Jian;Bruno Costa Rendon;Emmanuel Ojuba;Nasim Soltani

  • No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

    Kunal Sankhe;Mauro Belgiovine;Fan Zhou;Luca Angioloni

  • BlurMe: inferring and obfuscating user gender based on ratings

    Udi Weinsberg;Smriti Bhagat;Stratis Ioannidis;Nina Taft

  • Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

    Travis K Redd;John Peter Campbell;James M Brown;Sang Jin Kim

  • GraphSC: Parallel Secure Computation Made Easy

    Kartik Nayak;Xiao Shaun Wang;Stratis Ioannidis;Udi Weinsberg

  • Adaptive Caching Networks With Optimality Guarantees

    Stratis Ioannidis;Edmund Yeh

  • More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting

    Nasim Soltani;Kunal Sankhe;Jennifer Dy;Stratis Ioannidis

  • DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms

    Francesco Restuccia;Salvatore D'Oro;Amani Al-Shawabka;Mauro Belgiovine

  • Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.

    Matthew D. Li;Ken Chang;Ben Bearce;Connie Y. Chang

  • Distributed caching over heterogeneous mobile networks

    Stratis Ioannidis;Laurent Massoulié;Augustin Chaintreau

  • Distributed caching over heterogeneous mobile networks

    Stratis Ioannidis;Laurent Massoulie;Augustin Chaintreau

  • Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning.

    Stanford Taylor;James M Brown;Kishan Gupta;J Peter Campbell

  • RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms

    Nasim Soltani;Guillem Reus-Muns;Batool Salehi;Jennifer Dy

  • Incentivizing peer-assisted services: a fluid shapley value approach

    Vishal Misra;Stratis Ioannidis;Augustin Chaintreau;Laurent Massoulié

  • Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd

    Gjergji Zyba;Geoffrey M. Voelker;Stratis Ioannidis;Christophe Diot

  • Jointly Optimal Routing and Caching for Arbitrary Network Topologies

    Stratis Ioannidis;Edmund Yeh

Frequent Co-Authors

Jennifer G. Dy
Jennifer G. Dy Northeastern University
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Kaushik R. Chowdhury
Kaushik R. Chowdhury Northeastern University
Laurent Massoulié
Laurent Massoulié French Institute for Research in Computer Science and Automation - INRIA
Nina Taft
Nina Taft Google (United States)
Andrea Montanari
Andrea Montanari Stanford University
Augustin Chaintreau
Augustin Chaintreau Columbia University
Tommaso Melodia
Tommaso Melodia Northeastern University
Matthew S. Goodwin
Matthew S. Goodwin Northeastern University

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