AIMLUID 2022 : Artificial Intelligence, Machine Learning and User Interface Design

It is our pleasure to invite researchers, practitioners, faculties, professionals, undergraduate and post-graduate students from academia and industry to submit a Chapter for inclusion in the edited book titled” “Artificial Intelligence, Machine Learning and User Interface Design” to be published by Bentham Science.
The book will be submit to Scopus and Web of Science for indexing. For additional information regarding the publisher, please visit https://benthambooks.com.This publication is anticipated to be released in 2023.

Scope of the Book:

The book will focus on major research initiatives in Artificial Intelligence, Machine Learning and User Interface Design as prominent research area with real-world applications from the field of IT, Electronics, Mechanical, Civil, Electrical, Telecommunication, Instrumentation, Medicine, to name a few. Artificial Intelligence is a multidisciplinary field with an intrinsic relationship as a subfield to computer science. Most interactive computing systems have user-centered design and interact with users in their context of existence or work. Machine learning has been playing a vital role in almost all major fields such as finance, marketing, security, health care, social sciences, automobile, e-learning and many more. This book will cover a vast range of topics critical to the field of Artificial Intelligence, Machine Learning and User Interface Design in an easy to-understand language.

The topics of interest include but not limited to:
Artificial Intelligence:
• Computational intelligence
• Cognitive science: Brain models, Brain mapping, Computational Neuroscience
• Explainable artificial intelligence (XAI)
• Distributed AI algorithms and techniques
• Heuristic searching methods
• Constraint-based reasoning and constraint programming
• Intelligent information systems
• AI and evolutionary algorithms
• Knowledge acquisition, representation and discovery
• Integration of AI with state of the art technologies
• Social intelligence (markets and computational societies)
• Incremental Learning for edge AI
• Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition,agriculture, finance and marketing, education etc.) 
Machine Learning
• Multivariate data analysis
• Optimization techniques
• Natural language processing
• Fuzzy logic and soft computing
• Deep learning
• Probabilistic machine learning models 
• Parametric and Non-parametric statistical machine learning methods
• Graphical and tree based models
• Cloud machine learning
• Machine learning in IoT
• Federated Learning
• Deep Learning for Medical Image analysis
• Transfer Learning
• Distributed Machine Learning
• Generative models
• Meta-learning
• Federated learning 
• Adversarial Machine Learning
• Applications of machine learning in security, healthcare, agriculture etc.

User Interface Design
• Artificial intelligence controlling Interfaces
• Three-dimensional User Interface Technologies
◦ UX/UI customization 
◦ The augmented interface (AR/VR/VUI/SUI etc)
• UX patterns
• Heuristics in UI design
• IoT in UX design
• UI/UX design technologies
• ML and User Experience(MLUX)

All submissions should be done through email: [email protected]

Please visit for book manuscript guidelines. https://acrobat.adobe.com/link/review?uri=urn:aaid:scds:US:e2351127-7268-4fc6-9bc2-593a91064d55

No publication fees.

The books of this series are submitted to Web of Science, Scopus, DBLP and ORCID.

Editors:
Dr. Abhijit Banubakode, MET Institute of Computer Science, Mumbai, India, India
Dr. Sunita Sachin Dhotre, Bharati Vidyapeeth College of Engineering,Pune, India
Dr. Chhaya Gosavi, MKSSS's Cummins College of Engineering for Women, Pune, India
Prof. G. S. Mate, Rajarshi Shahu College of Engineering, Pune, India
Dr. Nuzhat Faiz Shaikh, Modern Education Society’s College of Engineering, Wadia College Campus, Pune, India
Dr. Sandhya Arora, MKSSS's Cummins College of Engineering for Women, Pune, India