AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques


About the Series

Book Series Editor:
Dr. Ashwani Kumar,
PhD Mechanical Engineering
Technical Education Department Uttar Pradesh Kanpur (under Government of Uttar Pradesh), India
Telephone: +91-9927723380
Email: drashwanikumardte@gmail.com


Description of the Book Series

The AAP Advances in Materials, Manufacturing & Computational Intelligence Techniques book series offers a comprehensive exploration of cutting-edge research and applications in various engineering and scientific fields. This multidisciplinary series caters to a wide range of readers, from researchers and academics to industry professionals, providing in-depth knowledge and practical insights into solving complex problems. The series explores into a diverse array of topics, including advanced materials, manufacturing techniques, and computational intelligence.

Key areas of focus encompass additive manufacturing, nanomanufacturing, micromachining, biodegradable composites, material synthesis and processing, energy materials, polymers and soft matter, nonlinear dynamics, dynamics of complex systems, MEMS, green and sustainable technologies, vibration control, AI in power stations, power electronics, energy harvesting, energy efficiency, bioinformatics, computer-aided inspection, automotive engineering, autonomous systems, machine learning, deep learning, control systems, robotics, automation, simulation, biomedical imaging, and image processing. By providing a thorough understanding of fundamental concepts and state-of-the-art advancements, this series empowers readers to develop innovative solutions and drive progress in fields such as mechanical engineering, electrical engineering, computer science, materials science, and bioinformatics. This book series highlights into the intricate world of materials science, manufacturing processes, and computational techniques. Each volume offers a comprehensive exploration, encompassing a rigorous literature review, innovative research methodologies, detailed simulations, meticulous experimental setups, and robust result validation. The chapters are meticulously structured for easy comprehension, guiding readers through the complex concepts with clarity. By providing a complete and in-depth analysis, this series aims to cater to a diverse global audience, including researchers, engineers, and industry professionals, who are passionate about advancing the frontiers of materials science and manufacturing.

To Submit a Proposal:
Contact the book series editor to submit a quality book proposal.
Dr. Ashwani Kumar
Email: drashwanikumardte@gmail.com, Telephone: +91-9927723380).

BOOKS IN PREPARATION NOW

SUGGESTED TOPICS AND KEYWORDS FOR BOOK PROPOSALS (but not limited to):
Materials: This section covers recent developments in bioinspired materials, semiconductor materials, biodegradable composites, energy materials, polymers, Sustainable materials, Nanocomposites, Biomaterials, Energy materials, Additive manufacturing materials, Functional materials, Smart materials, Quantum materials, Multifunctional materials, Self-healing materials, Graphene and other 2D materials, Perovskite materials, Metamaterials, Shape memory alloys, Piezoelectric materials, Magnetocaloric materials, Thermoelectric materials, Hydrogen storage materials, Carbon capture materials, Water purification materials.

Manufacturing: This section covers recent developments in Additive Manufacturing, Industry 4.0 and Smart Manufacturing, Sustainable Manufacturing, Circular Economy and Manufacturing, Advanced Materials and Manufacturing Processes, Robotics and Automation, Artificial Intelligence and Machine Learning in Manufacturing, Digital Twin and Virtual Manufacturing, Supply Chain Management and Logistics, Manufacturing Execution Systems (MES), Quality Control and Assurance, Human-Machine Interaction and Ergonomics, Manufacturing Data Analytics and Big Data, Manufacturing Simulation and Modeling, Energy-Efficient Manufacturing, Manufacturing Cybersecurity, Manufacturing Process Optimization, Manufacturing Risk Management, Manufacturing Education and Workforce Development, Manufacturing Policy and Regulations.

Computational Intelligence Techniques: This section covers recent developments in Nanotechnology, Nonlinear dynamics, dynamics of complex systems, MEMS, green and sustainable technologies, vibration control, AI in power station, analog-digital hybrid modulation, advancement in inverter technology, adaptive piezoelectric energy harvesting circuit and recent trends in mechanical and electrical design engineering, artificial Intelligence in power station, Bluetooth network security, contactless energy transfer system, energy efficient motors, bioinformatics, computer aided inspection planning, hybrid electrical vehicle, autonomous vehicle, object identification, machine intelligence, deep learning, control-robotics-automation, knowledge based simulation, biomedical imaging, image processing, visualization and recent trends in computer and information technology.

This book series fosters a multidisciplinary approach, encouraging collaboration among experts to explore innovative and sustainable solutions in materials science, manufacturing processes, and computational intelligence. By leveraging these techniques, the series aims to contribute to a greener future and sustainable development. This valuable resource is designed to benefit a wide range of individuals, including undergraduate, postgraduate, and doctoral students, researchers, academicians, and industry professionals in fields such as materials science, mechanical engineering, manufacturing engineering, industrial engineering, and electrical engineering.

Book manuscripts should be a minimum of 300 pages per volume (11 point Times Roman, in MS Word, 1.5 line spacing).


About the Book Series Editor

Dr. Ashwani Kumar is a distinguished academic and researcher with a Ph.D. in Mechanical Engineering. With over 14 years of experience, he currently serves as a Senior Lecturer at the Technical Education Department Uttar Pradesh (under Government of Uttar Pradesh). Beyond his academic role, he has held various leadership positions and actively contributes to the field of academic publishing. As a Series Editor for multiple book series and a member of editorial boards for international journals, Dr. Kumar is dedicated to advancing knowledge in areas such as manufacturing, design, computational intelligence, renewable energy, and artificial intelligence. His extensive research output includes numerous publications, book chapters, and patents, solidifying his position as a prominent figure in the field of engineering and technology.

Dr. Kumar’s ORCID ID is 0000-0003-4099-935X and Google Scholar link https://scholar.google.com/citations?hl=en&user=KOILpEkAAAAJ and personal webpage is https://sites.google.com/view/drashwanikumaryadav/home




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