Meet the editor

Dr. Ali Soofastaei leads innovative industrial projects in artificial intelligence (AI) applications to improve safety, productivity, and energy efficiency and reduce maintenance costs. He holds a Bachelor of Engineering in Mechanical Engineering and has an in-depth understanding of energy management (EM) and equipment maintenance solutions (EMS). The extensive research he conducted on AI and value engineering (VE) methods

while completing his Master of Engineering also provided him with expertise in applying advanced analytics in EM and EMS. Dr. Soofastaei completed his Ph.D. at The University of Queensland (UQ ), Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning (DL) and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. In addition, as a Postdoctoral Research Fellow, Dr. Soofastaei has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology. In the past fifteen years, Dr. Soofastaei has conducted various research studies in academic and industrial environments. As a result, he has acquired in-depth knowledge of energy efficiency opportunities (EEO), VE, and advanced analytics. He is an expert in using DL and AI methods in data analysis to develop predictive, optimization, and decision-making models of complex systems. Dr. Soofastaei has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. Dr. Soofastaei has more than ten years of academic experience as an assistant professor and leader of global research activities. His research and development projects have been published in international journals and keynote presentations. He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia. Dr. Soofastaei has founded Soofastaei-Publications, Soofastaei-Educations, and Soofastaei-Businesses institutes focusing on digital transformation and advanced analytics to provide not only the required materials and references for the 4.0 industrial digital revolution but also train the new generation of specialists and industrial managers who are interested in studying and working in the field of advanced applied analytics and AI.

Contents

*by Ali Soofastaei*

*by Abhishek Kaul*

Services

*by Margherita Mori*

Inference System (ANFIS) Tools

Intelligent Decision Support System

*and Mukhtar Nuhu Yahya*

*by Moruf Akin Adebowale*

Introductory Chapter: Virtual Assistants

Virtual Assistants and Ethical Implications

*by Adriana Stan and Beáta Lőrincz*

Generating the Voice of the Interactive Virtual Assistant

*by Aik Beng Ng, Simon See, Zhangsheng Lai and Shaowei Lin*

**Preface XI**

**Chapter 1 1**

**Chapter 2 11**

**Chapter 3 33**

**Chapter 4 45**

**Chapter 5 65**

**Chapter 6 77**

**Chapter 7 95**

Group-Assign: Type Theoretic Framework for Human AI Orchestration

AI-Powered Virtual Assistants in the Realms of Banking and Financial

Specific Wear Rate Modeling of Polytetraflouroethylene Composites via Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy

*by Musa Alhaji Ibrahim, Yusuf Şahin, Auwal Ibrahim, Auwalu Yusuf Gidado* 
