Nikolaos Doulamis

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Machine learning
• Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image segmentation, Artificial neural network and Feature vector. The various areas that he examines in his Artificial intelligence study include Machine learning and Pattern recognition. His work in Computer vision covers topics such as Cluster analysis which are related to areas like Image retrieval, 3D reconstruction and Outlier.

His Image segmentation research incorporates elements of Transform coding and Data compression. His Artificial neural network research is multidisciplinary, incorporating perspectives in Network planning and design, Network traffic simulation, Network traffic control, Telecommunications network and Internet Protocol. His work carried out in the field of Deep learning brings together such families of science as Convolutional neural network and Support vector machine.

His most cited work include:

• Deep Learning for Computer Vision: A Brief Review. (600 citations)
• Deep supervised learning for hyperspectral data classification through convolutional neural networks (328 citations)
• Enabling Applications on the Grid: A Gridlab Overview (143 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Deep learning and Artificial neural network. Artificial intelligence is frequently linked to Machine learning in his study. His Computer vision study frequently intersects with other fields, such as Automatic summarization.

His work on Feature vector, Hyperspectral imaging and Pattern recognition as part of general Pattern recognition study is frequently linked to Tensor, bridging the gap between disciplines. Much of his study explores Deep learning relationship to Pixel. His Multiview Video Coding research incorporates themes from Motion compensation, Block-matching algorithm and Video compression picture types.

He most often published in these fields:

• Artificial intelligence (56.74%)
• Computer vision (27.27%)
• Pattern recognition (21.94%)

What were the highlights of his more recent work (between 2018-2021)?

• Artificial intelligence (56.74%)
• Deep learning (15.67%)
• Pattern recognition (21.94%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Deep learning, Pattern recognition, Convolutional neural network and Energy. He has researched Artificial intelligence in several fields, including Machine learning, Layer and Computer vision. Nikolaos Doulamis works mostly in the field of Computer vision, limiting it down to topics relating to Auto encoders and, in certain cases, Motion and Automatic summarization.

His Deep learning research is multidisciplinary, incorporating elements of Segmentation, Identification, Pixel, Filter and Hidden Markov model. His work in Pattern recognition addresses subjects such as Image, which are connected to disciplines such as Cluster analysis. In his study, Noise, Support vector machine and Lidar is inextricably linked to Robustness, which falls within the broad field of Convolutional neural network.

Between 2018 and 2021, his most popular works were:

• Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing (29 citations)
• Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring (22 citations)
• Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction. (21 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Machine learning
• The Internet

His main research concerns Artificial intelligence, Deep learning, Convolutional neural network, Machine learning and Energy. His Artificial intelligence research includes elements of Critical infrastructure, Intangible cultural heritage and Pattern recognition. His work in the fields of Segmentation and Contour segmentation overlaps with other areas such as Fusion and Corrosion.

Nikolaos Doulamis combines subjects such as Computer security, Pixel and Hidden Markov model with his study of Deep learning. The Convolutional neural network study combines topics in areas such as Training set, Noise, Real-time computing, Heuristic and Robustness. His Machine learning research focuses on Artificial neural network in particular.