Special Session: Machine and Deep Learning Applications for Robotics (MDLAR)
Call for Special Session Papers

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Overview

Over the last decades there has been an increasing interest in using machine learning and in the last few years, deep learning methods, combined with other vision techniques to create autonomous systems that solve vision problems in different fields. This special session is designed to serve researchers and developers to publish original, innovative and state-of-the art algorithms and architectures for real time applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces and biomimetic object-vision recognition.

Topics

• Computational Intelligence methods
• Machine Learning methods
• Self-adaptation, self-organisation and self-supervised learning
• Robust computer vision algorithms (operation under variable conditions, object tracking, behaviour analysis and learning, scene segmentation,,)
• Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
• Registration Methods
• Convolutional Neural Networks CNN
• Recurrent Neural Networks RNN
• Deep Reinforcement Learning DRL
• Generative Adversial Networks
• Predictive Learning
• Active-Incremental-Online Learning
• Hardware implementation and algorithms acceleration (GPUs, FPGA,s,.)

Special Session Chairs

• Prof. Samir Elseoud, Faculty of Informatics and Computer Science, The British University in Egypt, Samir.Elseoud@bue.edu.eg
• Associate Prof. Walid Hussein, Faculty of Informatics and Computer Science, The British University in Egypt, walid.hussein@bue.edu.eg

Program Committee Members

• Professor Omar Karam, Faculty of Informatics and Computer Science, The British University in Egypt, walid.hussein@bue.edu.eg
• Professor Andreas Pester, Faculty of Informatics and Computer Science, The British University in Egypt, Andreas.Pester@bue.edu.eg
• Associate Professor Nahla Barakat, Faculty of Informatics and Computer Science, The British University in Egypt, Nahla.Barakat@bue.edu.eg
• Professor Christian Gütl, Cognitive and Digital Science Lab, Institute of Interactive Systems and Data Science (ISDS, Graz University of Technology, AUSTRIA, c.guetl@tugraz.at
• Assoc. Prof. Tihomir Orehovački,Fakultet informatike u Puli (FIPU), Rovinjska, Pula, Croatia, tihomir.orehovacki@unipu.hr
• Professor Vladimir Geroimenko, Faculty of Informatics and Computer Science, The British University in Egypt, Vladimir.Geroimenko@bue.edu.eg
• Associate Professor Essam Rashed, Research Associate Professor, Dept. of Electrical & Mechanical Engineering, Nagoya Institute of Technology, Nagoya, Japan, essam.rashed@gmail.com
• Professor Sunil Vadera, Salford University, Salford, UK, S.Vadera@salford.ac.uk
• Professor Dagiuklas Anastasios, London South Bank University, UK, tdagiuklas@lsbu.ac.uk

Important dates

Submission

Please follow the instructions here: http://www.rev-conference.org/current/paper_preparation.php.