World's Best Scientists 2026 revealed!

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Computer Science

D-Index
34
Citations
5125
World Ranking
12153
National Ranking
112

Overview

Steven Latre is affiliated with the University of Antwerp in Belgium and has contributed extensively to research in computer science and engineering, with a strong focus on fields such as computer networks and communications, electrical and electronic engineering, and artificial intelligence.

The scientist's recent publications cover a range of topics and venues, illustrating a diverse research portfolio. Notable papers include:

  • "CNN-LSTM architecture for predictive indoor temperature modeling" (2021) published in Building and Environment
  • "Hierarchical Reinforcement Learning: A Survey and Open Research Challenges" (2022) published in Machine Learning and Knowledge Extraction
  • "Radar-Based Hand Gesture Recognition Using Spiking Neural Networks" (2021) published in Electronics
  • "Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications" (2021) published in IEEE Communications Surveys & Tutorials
  • "Software-Defined Vehicular Networking: Opportunities and Challenges" (2020) published in IEEE Access

The scientist collaborates regularly with a group of frequent co-authors, which includes:

  • Peter Hellinckx
  • Miguel Camelo
  • Johann M. Márquez-Barja
  • Kevin Mets
  • Werner Van Leekwijck

In terms of publication venues, Steven Latre has a significant number of works published in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Sensors
  • Frontiers in Neuroscience
  • Journal of Network and Systems Management

Steven Latre's research domains involve extensive work in the following main fields of study:

  • Computer Science
  • Engineering

More specific subfields within those areas where Steven Latre is active include:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Environmental Engineering

The scientist's key research topics comprise:

  • Software-Defined Networks and 5G
  • Advanced Memory and Neural Computing
  • Wireless Networks and Protocols
  • Ferroelectric and Negative Capacitance Devices
  • Reinforcement Learning in Robotics
  • Neural Networks and Reservoir Computing
  • Neural dynamics and brain function

Best Publications

  • Management and orchestration challenges in network functions virtualization

    Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Steven Latre

  • CNN-LSTM architecture for predictive indoor temperature modeling

    Furkan Elmaz;Reinout Eyckerman;Wim Casteels;Steven Latré

  • QoE-Driven Rate Adaptation Heuristic for Fair Adaptive Video Streaming

    Stefano Petrangeli;Jeroen Famaey;Maxim Claeys;Steven Latré

  • Design and Evaluation of a Self-Learning HTTP Adaptive Video Streaming Client

    Maxim Claeys;Steven Latre;Jeroen Famaey;Filip De Turck

  • City of things: An integrated and multi-technology testbed for IoT smart city experiments

    Steven Latre;Philip Leroux;Tanguy Coenen;Bart Braem

  • On the use of IoT and Big Data Technologies for Real-time Monitoring and Data Processing

    Y. Nait Malek;A. Kharbouch;H. El Khoukhi;M. Bakhouya

  • Design and evaluation of learning algorithms for dynamic resource management in virtual networks

    Rashid Mijumbi;Juan-Luis Gorricho;Joan Serrat;Maxim Claeys

  • Evaluation of the IEEE 802.11ah Restricted Access Window mechanism for dense IoT networks

    Le Tian;Jeroen Famaey;Steven Latre

  • Simulating 6TiSCH Networks

    Esteban Municio;Glenn Daneels;Mališa Vučinić;Steven Latré

  • Implementation and Validation of an IEEE 802.11ah Module for ns-3

    Le Tian;Sébastien Deronne;Steven Latré;Jeroen Famaey

  • Design and optimisation of a FAQ-learning-based HTTP adaptive streaming client

    Maxim Claeys;Steven Latré;Jeroen Famaey;Tingyao Wu

  • Hierarchical Reinforcement Learning: A Survey and Open Research Challenges

    Unknown

  • On the merits of SVC-based HTTP Adaptive Streaming

    Jeroen Famaey;Steven Latre;Niels Bouten;Wim Van de Meerssche

  • Dynamic resource management in SDN-based virtualized networks

    Rashid Mijumbi;Joan Serrat;Javier Rubio-Loyola;Niels Bouten

  • Design of a Q-learning-based client quality selection algorithm for HTTP adaptive video streaming

    Maxim Claeys;Steven Latré;Jeroen Famaey;Tingyao Wu

  • In-network quality optimization for adaptive video streaming services

    Niels Bouten;Steven Latré;Jeroen Famaey;Werner Van Leekwijck

  • An autonomic architecture for optimizing QoE in multimedia access networks

    Steven Latré;Pieter Simoens;Bart De Vleeschauwer;Wim Van de Meerssche

  • Challenges to support edge-as-a-service

    Steven Davy;Jeroen Famaey;Joan Serrat-Fernandez;Juan Luis Gorricho

  • QoE optimization through in-network quality adaptation for HTTP adaptive streaming

    Niels Bouten;Jeroen Famaey;Steven Latre;Rafael Huysegems

  • Real-Time Station Grouping under Dynamic Traffic for IEEE 802.11ah.

    Le Tian;Evgeny M. Khorov;Steven Latré;Jeroen Famaey

  • Protecting video service quality in multimedia access networks through PCN

    S. Latré;K. Roobroeck;T. Wauters;F. D. Turck

Frequent Co-Authors

Jeroen Famaey
Jeroen Famaey University of Antwerp
Filip De Turck
Filip De Turck Ghent University
Piet Demeester
Piet Demeester Ghent University
Bart Dhoedt
Bart Dhoedt Ghent University
Ingrid Moerman
Ingrid Moerman Ghent University
Eli De Poorter
Eli De Poorter Ghent University
Joan Serrat
Joan Serrat Universitat Politècnica de Catalunya
Burkhard Stiller
Burkhard Stiller University of Zurich
George Pavlou
George Pavlou University College London
Walid Saad
Walid Saad Virginia Tech

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