Artificial Intelligence for a Sustainable Industry 4.0

Dr. Goutam Sanyal:  Received B.Tech and M.Tech from National Institute of Technology (NIT), Durgapur, and Ph.D (Engg.) Jadavpur University, Kolkata, in Robot Manipulator Path Planning. He possesses an experience of more than 35 years in the field of teaching, research and administration. He has published more than 180 papers in International Journals and Conferences. He has guided 19 Ph.D scholars in Computer Science & Engineering Department in the area of Steganography, Wireless Sensor Network, Computer Vision, Natural language Processing. He has guided more than 40 PG and 300 UG theses. He has written a book in Computer Graphics and Multimedia and 8 Book chapters. He is a reviewer of reputed Journals (IET, ELSIEVER, SPRINGER, INDER SCIENCE and Transactions) and Conferences. He has filed one patent and delivered lecture and Session Chaired in Internal Conferences. He is teaching the following subject to UG and PG students: Computer Graphics, Computer Vision, Image processing, VLSI, Computer Architecture. He visited abroad for research collaboration in University of New Castle and Cranfield in UK and NUS, Singapore. He is serving as PhD thesis examiner of VTU, JNTU, OSMANIA University, Anna University, RPTU Bhopal and NITs. He has served as expert member of faculty selection of NITs, and other Universities. He has wide experience in working with different accreditation bodies. He has served as Dean (AA & RG), Dean (Students' Welfare) and Dean (Faculty Welfare) in NIT Durgapur nearly 10 years and at present working as a Professor & Head of the Department of Computer Science & Engineering. He is a regular Member of IEEE, Life Member of CSI and Fellow of IEI. Dr Sanyal received national awards and his Biography has been selected for inclusion in Marquis Who's Who in the World 2016, 2017, 2018 Edition.

 

Carlos M. Travieso-González : received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC),Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 51 International and Spanish Research Projects, some of them as head researcher. He is co-author of 4 books, co-editor of 24 Proceedings Book, Guest Editor for 8 JCR-ISI international journals and up to 24 book chapters. He has over 440 papers published in international journals and conferences (72 of them indexed on JCR - ISI - Web of Science). He has published 7 patents in Spanish Patent and Trademark Office. He has been supervisor on 8 PhD Thesis (12 more are under supervision), and 130 Master Thesis. He is founder of The IEEE IWOBI conference series and President of its Steering Committee, of The InnoEducaTIC conference series; and of The APPIS conference series. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC - UK), Spanish Government (ANECA - Spain), Research national Agency (ANR - France), DAAD (Germany), Argentinian Government and Colombian Institutions.  He has been reviewer in different indexed international journals s (^S 2018 General Chair, InnoEducaTIC 2017 General Chair, IEEE-IWOBI 2017 General Chair, IEEE-IWOBI 2015 General Chair, InnoEducaTIC 2014 General Chair, IEEE-IWOBI 2014 General Chair, IEEE-INES 2013 General Chair, NoLISP 2011 General Chair, JRBP 2012 General Chair and IEEE-ICCST 2005 Co-Chair. He is Associate Editor on Computational Intelligence and Neuroscience journal (Hindawi - Q2 JCR-ISI). He was Vice-Dean from 2004 to 2010 in Higher Technical School of Telecommunication Engineers in ULPGC; and Vice-Deano

This book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications.

Discusses artificial intelligence for sustainable solutions