Synopsis
In the rapidly evolving landscape of Industry 5.0, integrating emotional intelligence into the industrial framework is becoming increasingly crucial. Organizations are trying to navigate this uncharted territory and seeking guidance on understanding, implementing, and ethically managing artificial emotional intelligence (AEI). However, the absence of a comprehensive resource addressing these complexities has left a significant void in academic scholarship and industrial practice. Human-Machine Collaboration and Emotional Intelligence in Industry 5.0 offers a holistic exploration of emotion recognition, affective computing, and human-robot interaction. It equips readers with the knowledge and tools to successfully integrate AEI into Industry 5.0, ensuring a harmonious collaboration between humans and machines. This book is a go-to resource for scholars, industry professionals, and decision-makers seeking to leverage emotional intelligence in the Fifth Industrial Revolution by addressing practical implementations, ethical considerations, and real-world impacts.
About the Authors
Nitendra Kumar received a PhD (Mathematics) from Sharda University, Greater Noida, India and a Master of Science (Mathematics and Statistics) from Dr Ram Manohar Lohia Avadh University, Faizabad, India. Currently, he is working as an Assistant Professor at Amity Business School, Amity University, Noida with interests in Wavelets and its Variants, Data Mining, Inverse Problems, Epidemic Modeling, Fractional Derivatives Business Analytics, and Statistical Methods. He has more than 10 years of experience in his research areas. Dr Kumar has published many research papers in reputed journals and also published 6 books on engineering mathematics. He contributes to the research community by undertaking various volunteer activities in the capacity of editor for two edited books and guest Editor of reputed journals.
Surya Kant Pal is working as an Assistant Professor in the Department of Mathematics, SSBSR, Sharda University. Dr. Pal Holds M.Phil. & Ph.D. in Statistics from Vikram University Ujjain. He has worked with institutions like SMV Collage, BFIT-Groups of Institutions, the University of Petroleum and Energy Studies, and Chandigarh University. He is an expert in Statistics, Regression Analysis, Predictive Analytics, Multivariate Data Analysis, Artificial Intelligence, Machine learning, Deep Learning, Data Mining, and Data Science & Analytics. On the research front, His research focused on Statistics & Analytics. He has MS Office, SPSS 20.0, R, and Python Software expertise. His research includes Statistical Techniques, Sampling Theory, Multivariate Analysis, AI, ML & DL, and Data mining. He has published 5+ patents, 80+ research papers in Journals of National & International repute, and 10+ book chapters. He is not only known in India but famous in abroad too, serving as editor & reviewer of more than 30 reputed International /National Journals.
Priyanka Agarwal, Ph.D. in Management, has more than two decades of experience in research, industry, and academia and is presently associated as Associate Professor with Amity Business School, Amity University, Uttar Pradesh in the area of HR, OB & Psychology. She has been in the reviewer panel for conferences and has contributed to the Research community by collaborating with editorial board of special issues of UGC CARE, SCOPUS and WOS journals. She is a keen researcher and published research papers, case studies, book chapters in journals and books of repute . She has two edited books to her credit. Few of her research interests include Multi-generations in the Workplace, optimization in HR, diversity and inclusion, employee engagement, emerging trends in business analytics . In addition to her expertise in teaching and research, her key role includes mentoring and grooming budding managers, being the Programme leader of MBA Programme over the last few years. She is also associate editor of Amity Journal of Entrepreneurship and Leadership. She brings in a good blend of professional expertise and humane approach that makes her quite accessible.
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