About the Book
The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.
About the Author :
Noor Zaman Jhanjhi is a highly esteemed Senior Professor of Computer Science, specializing in Artificial Intelligence and Cybersecurity. He currently holds the position of Professor at the School of Computer Science at Taylor’s University, Malaysia, and serves as the Program Director for Postgraduate Research Degree Programmes as well as the Director of Research Center. With a career marked by academic leadership and groundbreaking research, Prof. Jhanjhi has been pivotal in advancing research and education in computer science. Recognized globally, Prof. Jhanjhi has been ranked among the world’s top 2% research scientists for three consecutive years (2022, 2023, and 2024). In Malaysia, he is ranked among the top three computer science researchers and was honored with the Outstanding Faculty Member award by MDEC Malaysia in 2022, as well as the Vice Chancellor’s Best Research Citations Award from Taylor’s University in 2023. His impressive academic portfolio includes over 70 research books edited or authored with prestigious publishers such as Springer, Elsevier, Taylor & Francis, Wiley, and IGI Global USA. His research has garnered more than 1000 points in impact factor, reflecting the depth and breadth of his contributions to the field. A dedicated mentor, Prof. Jhanjhi has supervised and co-supervised 38 postgraduate students to successful graduation and has served as an external examiner for over 60 Ph.D. and Master’s theses globally. In addition to his academic accomplishments, Prof. Jhanjhi holds Associate Editor and Editorial Board positions with several high-ranking journals, including PeerJ Computer Science, CMC Computers, Materials & Continua, and Frontiers in Communication and Networks. He was also recognized as an Outstanding Associate Editor for IEEE ACCESS. His contributions to research and innovation are further demonstrated by his successful management of over 40 internationally funded research grants. A sought-after keynote speaker, Prof. Jhanjhi has delivered over 70 invited talks at international conferences and has chaired numerous sessions. His commitment to academic excellence and accreditation extends to his involvement with ABET, NCAAA, and NCEAC over the past decade. Loveleen Gaur is currently working as an adjunct professor with Taylor University, Malaysia & University of South Pacific, Fiji and academic consultant with Australian School of Graduate Studies. Before moving to USA, she was working as Professor with Amity University, India. She has supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate and PhD students internationally. An ample number of Ph.D. and master’s students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in many scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals. She has been honored with prestigious National and International awards. She has introduced courses related to Artificial Intelligence specialization including, Predictive Analytics, Deep and Reinforcement learning etc. She has vast experience teaching advanced-era specialized courses, including Predictive Analytics, Data Visualization, Social Network Analytics, Deep Learning, Power BI, Digital Marketing and Digital Innovation etc., besides other undergraduate and postgraduate courses, graduation projects, and thesis supervision. Mamoona Humayun has completed her PhD in Computer Sciences from Harbin Institute of Technology, China. She has 15 years of teaching and administrative experience internationally. She has an extensive teaching, research supervision, and administrative work background. She is the guest Editor and reviewer for several reputable journals and conferences around the globe. She has authored several research papers, supervised many postgraduate students, and has an external thesis examiner to her credit. She has strong analytical, problem-solving, interpersonal, and communication skills. Her areas of interest include Cyber Security, Wireless Sensor Networks (WSN), the Internet of Things (IoT), Requirement Engineering, Global Software Development, and Knowledge Management.
