Emotionally Intelligent Digital Workplaces: Artificial Intelligence, Emotional Intelligence and Work-Life Harmony explores the emerging intersection of artificial intelligence, emotional intelligence and human well-being in digitally enabled work environments. The book examines how AI is moving beyond automation and data-driven decision-making toward systems capable of recognizing, interpreting and responding to human emotions. It discusses affective computing, emotion recognition, human-AI collaboration, knowledge graphs, generative AI, multimodal sensing, adaptive interfaces and AI-powered approaches to work-life harmony.

The volume also addresses digital fatigue, emotional labour, employee well-being, digital detox, teacher well-being and AI-enabled education, while examining human-centred AI applications in retail and financial markets. Its later chapters extend the discussion to the technological infrastructure required for next-generation intelligent systems, including blockchain-assisted IoT security, heterogeneous system-on-chip architectures and FPGA-based spiking neural networks. Through this multidisciplinary approach, the book presents emotionally intelligent technology not merely as an automation tool, but as a means of supporting empathy, well-being, responsible innovation and sustainable productivity in digital workplaces.

Dr. Ramandeep Sandhu is working as a Professor in the School of Computer Science and Engineering at Lovely Professional University, Punjab, India. She has over 17 years of academic, research, and mentoring experience in higher education. She completed her Ph.D. in Computer Science and Engineering from Lovely Professional University, Punjab. She obtained her M.Tech. and B.Tech. degrees in Computer Science and Engineering with distinction. Dr. Sandhu has published more than 100 research papers, book chapters, and conference papers in reputed international journals and conference proceedings published by Springer, Elsevier, IEEE, Wiley, CRC Press, Taylor & Francis, and other leading publishers. She has also published 21 Indian patents and 3 copyrights. She has authored two books, OOPs Awareness with C++ (ISBN: 978-93-5300-939-7) and A Start to C++ Programming with Object Oriented Concepts (ISBN: 978-93-955819-3-6), and has edited the book Quantum Artificial Intelligence: Technologies, Algorithms, Programming, Applications and the Future of Mankind. She has also served as an editor for several national and international edited books in emerging areas of artificial intelligence and computer science. Her research interests include Explainable Artificial Intelligence (XAI), Cloud Computing and Cloud Optimization, Machine Learning, Quantum Computing, Data Science, Opinion Mining, Sentiment Analysis, Programming Logic Development, and Intelligent Computing Systems. She actively contributes to interdisciplinary research involving healthcare, sustainable computing, automation, and next-generation computing technologies. Dr. Sandhu has been actively involved in research, curriculum development, student mentoring, and academic administration. She serves as a reviewer and editorial contributor for several reputed international journals and conferences. She has organized and delivered expert lectures, faculty development programmes, workshops, and technical training sessions in the areas of cloud computing, artificial intelligence, machine learning, and programming. She continues to collaborate with researchers, academicians, and industry professionals to promote high-quality research and innovation in computer science and engineering.

Dr. Aarti received her Ph.D. degree from the National Institute of Technology (NIT), Jalandhar, India. Currently, she is working as a Professor in the School of Computer Science and Engineering at Lovely Professional University (LPU), Phagwara, Punjab, India. She is an author/co-author of scientific research papers in refereed journals and international conferences, comprising 10 journal articles, 18 conference papers, and 8 books/book chapters (https://orcid.org/0000-0002-1345-2669). Her research and teaching interests include 6G and Next-Generation Communication Systems, AI-Driven IoT, Edge Intelligence, Cybersecurity, and Machine/Deep Learning applications in healthcare diagnostics — including recent work on diabetic patient readmission prediction using hybrid metaheuristics, lung carcinoma and lung cancer detection using transfer learning and deep neural networks, and Parkinson's disease classification. She has 15 years of teaching and research experience from academia. She has supervised 5 PhD and 3 MTech theses. She holds 5 granted/filed IPRs (patents). She is a reviewer for several peer-reviewed journals in AI, IoT, and cybersecurity domains

Prof. Sandeep Govindrao Panchal is an Assistant Professor and researcher in Computer Engineering, specializing in Artificial Intelligence, Machine Learning, and Data Science. With over 16.5 years of experience in teaching, academic administration, and accreditation processes, including the National Board of Accreditation (NBA) and the National Assessment and Accreditation Council (NAAC), he has made significant contributions to higher education. He is the author of numerous journal and conference papers and an inventor holding Indian and UK design patents. His academic and research interests include Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Cloud Computing, and Software Engineering. He is also actively involved in mentoring industry internships and guiding student research, fostering innovation, practical learning, and the development of industry-relevant technical skills

Dr. Shubham Mahajan is a respected academic and researcher, and a member of well-known professional organizations like IEEE, ACM, and IAENG. He completed his B.Tech. from Baba Ghulam Shah Badshah University, his M.Tech. from Chandigarh University, and his Ph.D. from Shri Mata Vaishno Devi University (SMVDU), Katra. He is currently working as an Assistant Professor at Amity University, Haryana

Dr. Mahajan has made strong contributions in the fields of artificial intelligence and image processing. He holds twenty-two Indian patents, along with one Australian and one German patent. He has published more than 104 research papers in national and international journals and conferences, including 57 in SCIE journals and 65 indexed by Scopus. He has also authored/edited 20 Scopus-indexed books. His research areas include image processing, video compression, image segmentation, fuzzy entropy, nature-inspired algorithms, optimization, data mining, machine learning, robotics, and optical communication. He won the Best Research Paper Award at ICRIC 2019 (Springer LNEE series).

Throughout his career, Dr. Mahajan has received many awards, such as the Best Student Award (2019), IEEE Region-10 Travel Grant (2019), 2nd runner-up in IEEE RAS Hackathon (2019, Bangladesh), IEEE SERCF (2020), Emerging Scientist Award (2021), and the IEEE SPS Professional Development Grant (2021). He also received the Excellence in Research Award in 2023.

Beyond research, Dr. Mahajan has contributed to the academic community in many ways. He has worked as a Campus Ambassador for IEEE at top institutions like IIT Bombay, IIT Kanpur, IIT Varanasi, and IIT Delhi, as well as for several multinational companies. He is active in promoting international research collaborations and serves on Technical Program Committees and Editorial Boards of various international conferences and journals.

Chapter 1. Understanding Emotional Intelligence in the Digital Era
Anil Kumar Lamba

Chapter 2. Emotional Intelligence in the Digital Age: Challenges, Adaptation, and Emerging Competencies
Fatima Zahra Ouariach, Soufiane Ouariach, Ghita Ibrahimi, Inam Ullah Khan

Chapter 3. Human Emotions and Artificial Intelligence: A Novel Partnership
Ayush Gour, Ravi N. Gohel, Sukhdeep Kaur, Rajkumar Rajbhar, Karri Sanjay Kumar

Chapter 4. Emotion-Aware Artificial Intelligence for Employee Well-Being: A Human-Centred Review Framework for Digital Workplaces
Ranu Burad

Chapter 5. AI-Powered Work–Life Harmony Model Suggestion
Rajkumar Rajbhar, Ayush Gour, Sukhdeep Kaur, Karri Sanjay Kumar

Chapter 6. Causal Disentanglement of Emotional Labor: A Generative Framework for AI-Enabled Work–Life Harmony
B. Ravi Chandra, Ajay Roy, Yagateela Pandu Rangaiah, C. Lokanath Reddy

Chapter 7. A Knowledge Graph-Driven Framework for Emotional Intelligence in Social Network-Based Digital Environments
Subrata Paul, Anirban Mitra, Amitava Podder, Piyal Roy

Chapter 8. Human-Centered Offline Voice Automation for Digital Workspace Well-Being: Reducing Cognitive Load, Auditory Fatigue, and Emotional Strain through Emotionally Aware Adaptive Interfaces
Gouresh Subhash Vernekar, Vivek Kale, Isha Sood

Chapter 9. Digital Detox as a Pathway to Emotional Well-Being and Work–Life Harmony
Divneet Singh Kapoor, Kiran Jot Singh, Ishmeet Kaur, Shakeena, Ankita, Jyotsna

Chapter 10. Artificial Intelligence, Teacher Well-Being, and Work–Life Harmony in Digital Academic Environments
Kiran Jot Singh, Divneet Singh Kapoor, Ishmeet Kaur, Deepshikha, Komalpreet Kaur, Sandeep Kaur, Gursharandeep

Chapter 11. Assessing the Effectiveness of AI-Based Educational Tools: An Integrated BWM–TOPSIS Approach
Chirag Dhankhar, Raushan Kumar, Surbhi Yadav, Chandan Veer, Niranjan Deo Pathak, Hariom Kumar, Shiv Swaroop Jha

Chapter 12. Advancing Phygital Customer Experience through Human-Centric Artificial Intelligence: A Socio-Technical Alignment Framework
Sinduja L, Kerena Anand, Vedha Balaji, Elangovan N

Chapter 13. TradeVision AI: A Multimodal Intelligent Trading Signal System for Indian Financial Markets
Dia Khurana, Riya Sapra, Alpana

Chapter 14. Blockchain-Assisted Multiprocessor Firmware Verification Architecture for Secure and Reliable IoT Systems
A. John Pradeep Ebenezer, S. A. Arunmozhi, P. M. Sithar Selvam, Kurra Venkateswara Rao, Rubaid Ashfaq, Mayakannan S., Shakir Khan, Parveen Singla

Chapter 15. Performance Portability in Heterogeneous SoCs Using a Component-Based, Library-Oriented Programming and Machine Learning Runtime
R. Kalaivani, Deepak Sharma, T. Jayapratha, Vemana U. P. Lavanya, Rubaid Ashfaq, Mayakannan S., Shakir Khan, Parveen Singla

Chapter 16. NeuroFlow: FPGA-Reconfigurable Spiking Neural Network Framework for Large-Scale Simulation
A. John Pradeep Ebenezer, G. V. S. Ananthanath, R. Deepalakshmi, Gokilashree M., Karimulla Syed, Mayakannan S., Shakir Khan, Parveen Singla