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Ioannis Lambadaris

Ioannis Lambadaris

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
30
Citations
3678
World Ranking
6813
National Ranking
291

Overview

Ioannis Lambadaris is affiliated with Carleton University in Canada. Their research spans across multiple areas within computer science and engineering, with a focus on networks and communications. Lambadaris has contributed extensively to topics involving software-defined networks, 5G technologies, and content delivery systems.

Their research interests include:

  • Software-Defined Networks and 5G
  • Caching and Content Delivery
  • Cooperative Communication and Network Coding
  • IoT and Edge/Fog Computing
  • Age of Information Optimization
  • Optimization and Search Problems
  • Satellite Communication Systems

Lambadaris's main fields of study encompass Computer Science and Engineering, with subfields focusing on:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Artificial Intelligence
  • Management Science and Operations Research

Their publication record includes contributions to several prominent venues, underlining a broad engagement with the research community. Regular publication venues are:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • Computer Networks
  • Neurocomputing
  • IEEE Transactions on Machine Learning in Communications and Networking

Recent significant papers authored or coauthored by Lambadaris include:

  • "Smart Proactive Caching: Empower the Video Delivery for Autonomous Vehicles in ICN-Based Networks," 2020, IEEE Transactions on Vehicular Technology
  • "Service function chain network planning through offline, online and infeasibility restoration techniques," 2024, Computer Networks
  • "Cooperative Learning-Based Framework for VNF Caching and Placement Optimization Over Low Earth Orbit Satellite Networks," 2024, IEEE Transactions on Vehicular Technology
  • "Enhancing cooperative multi-agent reinforcement learning through the integration of R-STDP and federated learning," 2024, Neurocomputing
  • "Optimizing Resource Fragmentation in Virtual Network Function Placement Using Deep Reinforcement Learning," 2024, IEEE Transactions on Machine Learning in Communications and Networking

In collaboration networks, Lambadaris frequently coauthors studies with the following researchers:

  • Aris Leivadeas
  • Marios Avgeris
  • Khai Doan
  • Evangelos Kranakis
  • Yannis Viniotis

Best Publications

  • An overview of pricing concepts for broadband IP networks

    Matthias Falkner;Michael Devetsikiotis;Ioannis Lambadaris

  • Modeling and simulation of self-similar variable bit rate compressed video: a unified approach

    Changcheng Huang;Michael Devetsikiotis;Ioannis Lambadaris;A. Roger Kaye

  • Cloud-based smart waste management for smart cities

    Mohammad Aazam;Marc St-Hilaire;Chung-Horng Lung;Ioannis Lambadaris

  • Empirical study of buffer management scheme for Diffserv assured forwarding PHB

    R. Makkar;I. Lambadaris;J.H. Salim;N. Seddigh

  • MeFoRE: QoE based resource estimation at Fog to enhance QoS in IoT

    Mohammad Aazam;Marc St-Hilaire;Chung-Horng Lung;Ioannis Lambadaris

  • VNF Placement Optimization at the Edge and Cloud

    Aris Leivadeas;George Kesidis;Mohamed Ibnkahla;Ioannis Lambadaris

  • Fractional Lévy motion and its applocation to network traffic modeling

    N. Laskin;I. Lambadatis;F. C. Harmantzis;M. Devetsikiotis

  • Cloud of Things: Integration of IoT with Cloud Computing

    Mohammad Aazam;Mohammad Aazam;Eui Nam Huh;Marc St-Hilaire;Chung Horng Lung

  • On minimizing the sum ofensor movements for barrier coverage of a line segment

    Jurek Czyzowicz;Evangelos Kranakis;Danny Krizanc;Ioannis Lambadaris

  • Modelling prioritized MPEG video using TES and a frame spreading strategy for transmission in ATM networks

    M.R. Ismail;I.E. Lambadaris;M. Devetsikiotis;A.R. Kaye

  • PRE-Fog: IoT trace based probabilistic resource estimation at Fog

    Mohammad Aazam;Marc St-Hilaire;Chung-Horng Lung;Ioannis Lambadaris

  • Performance analysis of first-fit wavelength assignment algorithm in optical networks

    X. Sun;Y. Li;I. Lambadaris;Y.Q. Zhao

  • Smart Proactive Caching: Empower the Video Delivery for Autonomous Vehicles in ICN-Based Networks

    Zhe Zhang;Chung-Horng Lung;Marc St-Hilaire;Ioannis Lambadaris

  • Source routed forwarding with software defined control, considerations and implications

    Mourad Soliman;Biswajit Nandy;Ioannis Lambadaris;Peter Ashwood-Smith

  • A comparative study of the SIP and IAX VoIP protocols

    T. Abbasi;S. Prasad;N. Seddigh;I. Lambadaris

  • On Minimizing the Sum of Sensor Movements for Barrier Coverage of a Line Segment

    Jurek Czyzowicz;Evangelos Kranakis;Danny Krizanc;Ioannis Lambadaris

  • Blocking probabilities for large multirate Erlang loss systems

    Pawel Gazdzicki;Ioannis Lambadaris;Ravi R. Mazumdar

  • Load balancing for multicast traffic in SDN using real-time link cost modification

    Alexander Craig;Biswajit Nandy;Ioannis Lambadaris;Peter Ashwood-Smith

  • IoT Data Lifetime-Based Cooperative Caching Scheme for ICN-IoT Networks

    Zhe Zhang;Chung-Horng Lung;Ioannis Lambadaris;Marc St-Hilaire

  • IoT Resource Estimation Challenges and Modeling in Fog

    Mohammad Aazam;Marc St-Hilaire;Chung-Horng Lung;Ioannis Lambadaris

Frequent Co-Authors

Michael Devetsikiotis
Michael Devetsikiotis University of New Mexico
F. Richard Yu
F. Richard Yu Carleton University

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