Call for Papers for Special Session
Advances in Machine and Technology Enhanced Learning (AMTEL)

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Overview

Machine learning is considered as a subset of Artificial Intelligence (AI) that helps learning from all previous data for making intelligent decisions. Machine learning is now a timehonored approach to generalize conclusions from a dataset, where many features of the population of interest are considered simultaneously. AMTEL will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine & Technology Enhanced Learning. This session seeks significant contributions to all major fields of the Machine Learning in theoretical and practical aspects. The aim is to provide a platform to the researchers and practitioners from both academia and industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute by submitting articles that illustrate research results, projects, surveying works and industrial experiences.

Topics

Topics of interest include (but are not limited to):

• General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
• Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
• Learning Theory (bandits, game theory, statistical learning theory, etc.)
• Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
• Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)
• Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)
• Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)
• Various machine learning algorithms and techniques, such as decision-making algorithms and techniques

Submission

Please find instructions here: http://icl-conference.org/current/paper_preparation.php.

Program Comittee

Chairs

• Dr.-Ing. Walid Hussein, The British University in Egypt, Egypt, walid.hussein@bue.edu.eg
• Prof. Samir El-Seoud, The British University in Egypt, Egypt, Samir.Elseoud@bue.edu.eg

Members

• Prof. Omar Karam, The British University in Egypt, Egypt, omar.karam@bue.edu.eg
• Prof. Andreas Pester, The British University in Egypt, Egypt, Andreas.Pester@bue.edu.eg
• Prof. Christian Gütl, Graz University of Technology, Austria, c.guetl@tugraz.at
• Prof. Dagiuklas Anastasios, London South Bank University, UK, tdagiuklas@lsbu.ac.uk
• Prof. Dominik May, College of Engineering at University of Georgia, USA, dominik.may@uga.edu
• Prof. Doru Ursutiu, Transilvania University of Brasov, Romania, udoru@unitbv.ro
• Prof. Mudasser F. Wyne, National University, San Diego, CA, USA, mwyne@nu.edu
• Dr. Muddesar Iqbal, London South Bank University, UK, m.iqbal@lsbu.ac.uk

Important Dates