The text presents concepts of human-computer interaction and cognitive modeling with artificial intelligence, intelligent systems, and user experience design perspective for smart healthcare, smart cities, and mental health applications. It covers topics like optimized machine learning frameworks using multimodal interaction datasets.
Arvind Sharma is an alumna of Guru Nanak Dev University India. He is an academician having 8+ years of experience, and currently working in the capacity of Associate Professor in Shoolini University, India. Apart from academics, he also holds certain administrative responsibilities with current or former employers, and currently serves as Faculty In-Charge in Shoolini University ACM Student Chapter. Earlier he worked for iHub and HCI Foundation, Indian Institute of Technology Mandi (IITM); Maharishi Markandeshwar (deemed to be) University; Chandigarh University; Trinity College; in India. He had Ph.D. in Computer Science and Engineering with specialization in Network Security from Rayat Bhara University, India; he received Master of Technology (M.Tech) in Computer Science and Engineering from Lovely Professional University, India along with another masters M.Sc. in Computer Science from Guru Nanak Dev University, India. His research interests span in Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in Healthcare. With over 35+ research papers, his scholarly work, journal articles, conference papers, is widely recognized in international/national publications. He served as book editor in several reputed publishing houses and journals. He also served as Guest Editor in Journal Special Issues. Currently 2 Ph.D. research scholars are pursuing their research work under the supervision of Dr. Sharma in Shoolini University.
Samiya Khan a University of Delhi alumna holds a PhD in Computer Science from Jamia Millia Islamia, India. She is currently working as Lecturer at the University of Greenwich, United Kingdom. Prior to this, she worked on an ERDF Project as Postdoctoral Research Fellow at the University of Wolverhampton, United Kingdom. With over 25+ research papers, her scholarly work, encompassing journal articles, conference papers and book chapters, is widely recognized in high-impact, international publications. Samiya has also served as a guest speaker for numerous events and conferences hosted by universities and organizations across the globe. In her editorial capacity, she has contributed as Guest Associate Editor for high impact journals such as Expert Systems and Frontiers in Big Data, and as a reviewer for numerous prestigious journals and conferences. Having a PhD focused on Big Data, she has also authored a book entitled, 'Big Data and Analytics. Besides this, she has co-edited five books published by renowned publishers such as Taylor & Francis and other reputed journals. Samiya's recent research endeavours focus on the application of data science in digital health.
Ashima Yadav is an Assistant Professor at the School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India. She earned her Ph.D. in Deep Learning from Delhi Technological University, New Delhi, India. She was honored with the "Research Excellence Award" by Delhi Technological University in 2020, 2021, and 2023 and "Dean's Research Award" by Bennett University in the year 2024. Additionally, she has been recognized in the top 2% of scientists globally by Stanford University in the year 2024. Her research interests includes deep learning, natural language processing, machine learning, fake news detection, Deepfake identification, emotion recognition, and sentiment analysis.
