His primary scientific interests are in Smart grid, Distributed computing, Computer network, Artificial intelligence and Packet switching. His work deals with themes such as Electric power system, Telecommunications network, Network topology, Electrification and Simulation, which intersect with Smart grid. His study in Distributed computing is interdisciplinary in nature, drawing from both Static routing, Virtualization and Provisioning.
The concepts of his Computer network study are interwoven with issues in Optical networking, Wavelength-division multiplexing and Optical Transport Network. His research investigates the connection with Artificial intelligence and areas like Trajectory which intersect with concerns in Statistical classification, Data stream and Pattern recognition. The Packet switching study combines topics in areas such as Optical burst switching, Electronic engineering, Bandwidth, Reconfigurability and Circuit switching.
Chris Develder spends much of his time researching Computer network, Distributed computing, Smart grid, Cloud computing and Anycast. His Computer network research integrates issues from Scalability and Optical burst switching. His biological study deals with issues like Efficient energy use, which deal with fields such as Energy consumption.
His study looks at the relationship between Smart grid and topics such as Wind power, which overlap with Automotive engineering. His work carried out in the field of Cloud computing brings together such families of science as Virtual network and Data center. His Anycast study combines topics in areas such as Integer programming and Backup.
The scientist’s investigation covers issues in Artificial intelligence, Artificial neural network, Relationship extraction, Data mining and Electric vehicle. Chris Develder has included themes like Machine learning, Pattern recognition, Trajectory and Natural language processing in his Artificial intelligence study. His Data mining study combines topics from a wide range of disciplines, such as Real-time computing, Base load power plant, STREAMS and Voltage.
His Real-time computing research is multidisciplinary, relying on both Wireless and Energy consumption. The study incorporates disciplines such as Markov decision process, Demand response, Smart grid and Reinforcement learning in addition to Electric vehicle. His studies deal with areas such as Simulation and Synthetic data as well as Smart grid.
Chris Develder mostly deals with Artificial intelligence, Machine learning, Relationship extraction, Data mining and Artificial neural network. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Trajectory and, in certain cases, Pattern recognition. His work focuses on many connections between Relationship extraction and other disciplines, such as Parsing, that overlap with his field of interest in Feature, Sequence labeling, Selection, Dependency and Margin.
He interconnects Grid connection, Voltage and Feature in the investigation of issues within Data mining. His research integrates issues of Adversarial system, Regularization and Training set in his study of Artificial neural network. His Cluster analysis research incorporates themes from Exploit, Data-driven, Simulation and Smart grid.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Worldwide energy needs for ICT: The rise of power-aware networking
M. Pickavet;W. Vereecken;S. Demeyer;P. Audenaert.
2008 2nd International Symposium on Advanced Networks and Telecommunication Systems (2008)
Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging
Kevin Mets;Tom Verschueren;Wouter Haerick;Chris Develder.
network operations and management symposium (2010)
The European IST project DAVID: a viable approach toward optical packet switching
L. Dittmann;C. Develder;D. Chiaroni;F. Neri.
IEEE Journal on Selected Areas in Communications (2003)
Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis
Kevin Mets;Juan Aparicio Ojea;Chris Develder.
IEEE Communications Surveys and Tutorials (2014)
Joint entity recognition and relation extraction as a multi-head selection problem
Giannis Bekoulis;Johannes Deleu;Thomas Demeester;Chris Develder.
Expert Systems With Applications (2018)
Data-centric optical networks and their survivability
D. Colle;S. De Maesschalck;C. Develder;P. Van Heuven.
IEEE Journal on Selected Areas in Communications (2002)
Optical Networks for Grid and Cloud Computing Applications
C. Develder;M. De Leenheer;B. Dhoedt;M. Pickavet.
Proceedings of the IEEE (2012)
Intelligent optical networking for multilayer survivability
S. De Maesschalck;D. Colle;A. Groebbens;C. Develder.
IEEE Communications Magazine (2002)
A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications
Carlos Colman-Meixner;Chris Develder;Massimo Tornatore;Biswanath Mukherjee.
IEEE Communications Surveys and Tutorials (2016)
Appliance classification using VI trajectories and convolutional neural networks
Leen De Baets;Joeri Ruyssinck;Chris Develder;Tom Dhaene.
Energy and Buildings (2018)
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