World's Best Scientists 2026 revealed!
Chris Develder

Chris Develder

D-Index & Metrics

Computer Science

D-Index
40
Citations
7030
World Ranking
9288
National Ranking
89

Overview

Chris Develder is affiliated with Ghent University in Belgium and has a research profile spanning several key areas within computer science and engineering. Their work focuses primarily on applications of artificial intelligence and electrical engineering principles across various domains.

Develder's research outputs are concentrated in the fields of:

  • Computer Science
  • Engineering

The subfields they contribute to include:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Building and Construction
  • Automotive Engineering
  • Computer Vision and Pattern Recognition

Key topics explored in Develder's publications cover:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Electric Vehicles and Infrastructure
  • Sentiment Analysis and Opinion Mining
  • Energy Load and Power Forecasting

The scientist has published extensively in venues including:

  • arXiv (Cornell University)
  • Applied Energy
  • Applied Intelligence
  • Energy
  • Energies

Recent representative papers illustrating their research themes are:

  • Physics informed neural networks for control oriented thermal modeling of buildings, 2022, Applied Energy
  • A voltage and current measurement dataset for plug load appliance identification in households, 2020, Scientific Data
  • Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks, 2021, Applied Energy
  • Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks, 2022, Energy
  • Synthetic Data Generator for Electric Vehicle Charging Sessions: Modeling and Evaluation Using Real-World Data, 2020, Energies

Frequent coauthors in Develder's collaborative network include:

  • Thomas Demeester
  • Johannes Deleu
  • Bert Claessens
  • Gargya Gokhale
  • Semere Kiros Bitew

These collaborations reflect ongoing work in applying advanced computational techniques such as neural networks and graph-based methods to challenges in energy systems, electrical load diagnosis, and data modeling for smart infrastructure.

Best Publications

  • Worldwide energy needs for ICT: The rise of power-aware networking

    M. Pickavet;W. Vereecken;S. Demeyer;P. Audenaert

  • Joint entity recognition and relation extraction as a multi-head selection problem

    Giannis Bekoulis;Johannes Deleu;Thomas Demeester;Chris Develder

  • Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging

    Kevin Mets;Tom Verschueren;Wouter Haerick;Chris Develder

  • The European IST project DAVID: a viable approach toward optical packet switching

    L. Dittmann;C. Develder;D. Chiaroni;F. Neri

  • Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis

    Kevin Mets;Juan Aparicio Ojea;Chris Develder

  • Appliance classification using VI trajectories and convolutional neural networks

    Leen De Baets;Joeri Ruyssinck;Chris Develder;Tom Dhaene

  • Quantitive analysis of electric vehicle flexibility : a data-driven approach

    Nasrin Sadeghianpourhamami;N. Refa;Matthias Strobbe;Chris Develder

  • Adversarial training for multi-context joint entity and relation extraction

    Giannis Bekoulis;Johannes Deleu;Thomas Demeester;Chris Develder

  • Optical Networks for Grid and Cloud Computing Applications

    C. Develder;M. De Leenheer;B. Dhoedt;M. Pickavet

  • Data-centric optical networks and their survivability

    D. Colle;S. De Maesschalck;C. Develder;P. Van Heuven

  • Comprehensive feature selection for appliance classification in NILM

    Nasrin Sadeghianpourhamami;Joeri Ruyssinck;Dirk Deschrijver;Tom Dhaene

  • A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

    Carlos Colman-Meixner;Chris Develder;Massimo Tornatore;Biswanath Mukherjee

  • Intelligent optical networking for multilayer survivability

    S. De Maesschalck;D. Colle;A. Groebbens;C. Develder

  • Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings

    Gargya Gokhale;Bert Claessens;Chris Develder

  • Definition and Evaluation of Model-Free Coordination of Electrical Vehicle Charging With Reinforcement Learning

    Nasrin Sadeghianpourhamami;Johannes Deleu;Chris Develder

  • Integrated simulation of power and communication networks for smart grid applications

    Kevin Mets;Tom Verschueren;Chris Develder;Tine L. Vandoorn

  • Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks

    Leen De Baets;Chris Develder;Tom Dhaene;Dirk Deschrijver

  • A voltage and current measurement dataset for plug load appliance identification in households

    Roberto Medico;Leen De Baets;Jingkun Gao;Suman Giri

  • Multi-Granular Optical Cross-Connect: Design, Analysis, and Demonstration

    G.S. Zervas;M. De Leenheer;L. Sadeghioon;D. Klonidis

  • A Self-Training Approach for Short Text Clustering

    Amir Hadifar;Lucas Sterckx;Thomas Demeester;Chris Develder

  • Two-Stage Load Pattern Clustering Using Fast Wavelet Transformation

    Kevin Mets;Frederick Depuydt;Chris Develder

  • An Information-Centric Communication Infrastructure for Real-Time State Estimation of Active Distribution Networks

    Wei Koong Chai;Ning Wang;Konstantinos V. Katsaros;George Kamel

Frequent Co-Authors

Mario Pickavet
Mario Pickavet Ghent University
Piet Demeester
Piet Demeester Ghent University
Bart Dhoedt
Bart Dhoedt Ghent University
Didier Colle
Didier Colle Ghent University
Filip De Turck
Filip De Turck Ghent University
Brigitte Jaumard
Brigitte Jaumard Concordia University
Dirk Deschrijver
Dirk Deschrijver Ghent University
Reza Nejabati
Reza Nejabati University of Bristol
Tom Dhaene
Tom Dhaene Ghent University
Dimitra Simeonidou
Dimitra Simeonidou University of Bristol

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