Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction explores the transformative potential of intelligent systems in enhancing human well-being through advancements in neurocognitive technologies, robotics, and AI-driven healthcare. This book addresses the fragmented knowledge at the intersection of these fields, enabling readers to understand the latest advancements and discover practical strategies for implementation. It highlights the importance of ethical considerations and governance in deploying AI and robotics in healthcare settings. Each chapter covers various aspects, including personalized medicine, human-robot interaction, cognitive robotics, wearable technologies, and the role of AI in mental health. The book also discusses the implications of cloud computing, big data, and human-computer interaction in enhancing cognitive and emotional well-being.
1. The Role of Natural Green Spaces in Enhancing Neurocognition
2. The Happiness Formula: Integrating Purpose, Spirituality, and
Relationships, with Neurocognitive Well-being
3. Human-Computer Interaction for Cognitive, Emotional, and Learning
Well-being
4. Human-Robot Interaction (HRI) for Well-Being and Social Robotics
5. Empowering Learning: How AI Drives Innovation, Enhances Deep Learning, and
Elevates Student Wellbeing
6. AI-Based Intelligent System in Education: Enhancing Wellbeing and
Learning
7. Data-Driven Education: Leveraging Big Data, AI and Machine Learning for
Smarter Learning Environments
8. AI in Education: Transforming Learning and Enhancing Student Well-Being
9. AI-Driven Chatbots: Personalization and EHR Integration in Patient-Doctor
Communication as Underexplored Frontiers
10. AI in Action: Decrypting Autism Spectrum Disorders Using Artificial
Intelligence and Machine Learning through Pattern Study
11. AI In Medicine: Crafting Robust Algorithms For Better Patient Outcomes
12. AI-Driven Precision Prevention and Prediction: A Roadmap for
Transformative Healthcare for wellbeing
13. Enhancing Human Well-Being through Predictive Healthcare Systems:
Advanced AI-ML Techniques for Accurate Forecasting and Management of Pollen
Outbreaks
14. Embedded System Integration for Adaptive Human-Computer Interaction
15. Revolutionizing Industries: A Case Study on Virtual and Augmented
Reality in Healthcare, Education, and Social Robotics
16. Beyond the Screen: VR/AR Applications in Healthcare, Education, and
Social Robotics
17. Towards Emotionally Intelligent Interfaces: An HCI Approach to Cognitive
and Learning Support
18. Human-Robot Interaction (HRI) and Social Robotics in Industry 5.0:
Drivers, Barriers, and Implications for Sustainable Development
19. The Dangers of AI Friendship: Adolescent Mental Health and Ethical
Oversight
Dr. Shubham Mahajan, a distinguished member of prestigious organizations such as IEEE, ACM, and IAENG, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, and his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India.
Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of eleven Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 100+ articles published in peer-reviewed journals, conferences and 10+ books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series.
In recognition of his exceptional achievements, Dr. Mahajan has received numerous accolades and honours throughout his career. These include the Best Student Award in 2019, the IEEE Region-10 Travel Grant Award in 2019, the 2nd runner-up prize in the IEEE RAS HACKATHON in 2019 (held in Bangladesh), the IEEE Student Early Researcher Conference Fund (SERCF) in 2020, the Emerging Scientist Award in 2021, and the IEEE Signal Processing Society Professional Development Grant in 2021. His commitment to excellence in research was further underscored by his receipt of the Excellence in Research Award in 2023.
Dr. Mahajan's impact extends beyond the realm of academia. He has served as a Campus Ambassador for IEEE, representing esteemed institutions such as IIT Bombay, Kanpur, Varanasi, Delhi, as well as various multinational corporations. His active engagement in fostering international research collaborations reflects his enthusiasm for advancing the frontiers of knowledge and innovation on a global scale.
Divneet Singh Kapoor is currently an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. He has done PhD in the domain of signal processing and wireless communication. He has filed multiple patents with the Indian patent office and has been granted several, showcasing his innovative contributions to the field. His research interests span embedded systems, Internet of Things (IoT), robotics, and affective computing.
Kiran Jot Singh is currently an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. He has done PhD in the domain of Human Robot Interaction. He has also filed 12 patents with the Indian patent office. He is working on various funded projects, and his research interests include human robot/computer interaction, bio feedback and happiness studies through technology.
