Impact and Potential of Machine Learning in the Metaverse

About

Shilpa Mehta has completed her PhD degree from Auckland University of Technology New Zealand. She has five years of teaching experience from different reputed colleges and universities of India. Currently she is working as a Teaching Assistant at Auckland University of Technology (AUT) Auckland New Zealand. She was awarded Summer Doctoral Research Scholarship for her PhD research. She has worked on various interdisciplinary research projects and her research interests include Radio Frequency Integrated Circuits RF front ends Optimization Internet of Things Wireless Communication Artificial Intelligence Healthcare Radars and Software-defined Radios Smart Cities. She is working as a Series Editor for one of the Bentham book series. As an editor she has edited four books with IGI Global and one with Nova Science Publishers. Additionally she is currently working on different edited books to be published by IGI Global Apple Academic Press Scrivener-Wiley and Springer Nature respectively. Shashi Kant Gupta Post-Doctoral Fellow and Researcher Computer Science and Engineering Eudoxia Research University USA in collaboration with Eudoxia Research Centre India. ORCID: 0000-0001-6587-5607. He has completed his Ph.D. in CSE from Integral University Lucknow UP India & Worked as Assistant Professor in the Department of Computer Science and Engineering PSIT Kanpur U.P. India Worked as Associate Professor School of Computer Applications BBD University Lucknow UP India Worked as Assistant Professor Department of Computer Science and Engineering Ambalika Institute of Management and Technology Lucknow UP India. & Also worked as Senior Lecturer Department of IT MCSCET Lucknow UP India. He is currently working as Founder and CEO of CREP PVT. LTD. Lucknow UP India. He is a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international organizations for research activities. He is an Editor-in-chief of International Journal of Data Informatics and Intelligent computing (IJDIIC). IJDIIC is an international open access scholarly peer-reviewed journal publishing high quality articles in all areas of data informatics and intelligent computing especially current research new concepts innovative methods and approaches for early detection and reporting new methods on basic and advanced aspects of data informatics and intelligent computing. He has published many research papers in reputed international journals with SCOPUS and SCI indexed journals and published many papers in National and International conferences and as well as in Seminars. He has organized various Faculty Development Programs Seminars Workshops and Short-Term Courses at University level. His main research work focuses on performance enhancement through Cloud computing Big Data Analytics IoT and Computational Intelligence-based Education. He is currently working as a reviewer in various international journals like BJIT and many more. He is currently editor in many CRC and Taylor and Francis group Publication Books like Book Title: IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques in Developing Smart Cities; Book Title: AI-aided IoT Technologies and Applications in the Smart Business and Production; Book Title: Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches; Book Title: Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques; Book Title: AI-Centric Modeling and Analytics Concepts Technologies and Applications He has published many Indian patents in the field of information technology computer science and management. One Indian patent is under grant approval. He has many Germany patents with grant He has more than 10 years of teaching experience and 2 years of Industrial Experience and more than 2.5 years as CEO and Founder of a firm. Abeer Aljohani received the B.Sc. degree in computer science from the College of Computer Science and Engineering Taibah University Medina Saudi Arabia in 2008 the M.Sc. degree in information technology for management from the Department of Computer Science Coventry University U.K. in 2011 and the Ph.D. degree in computer science from the University of Loughborough in 2019. She is currently working as an Assistant Professor with the Applied Collage Taibah University. Her research interests include sensor technology in e-health and smart health management smart cities data science artificial intelligence evolutionary computation machine learning deep learning pattern recognition cyber security computer vision and image processing. Mashael Khayyat received the bachelors degree (Hons.) in computer science degree from King Abdul-Aziz University in 2004 the masters degree in applied information systems (AIS) from the Arab Academy for Science and Technology and Maritime Transport Alexandria Egypt the second masters degree in technology management (MTM) from the University of New South Wales (UNSW) Sydney Australia and the Ph.D. degree in computer science and statistics from Trinity College Dublin (TCD) Dublin Ireland in 2017. She has been a Supervisor at the Department of Computer and Network Engineering and an Assistant Professor at the Information Systems and Technology Department College of Computer Science and Engineering University of Jeddah since 2017. Prior to that she worked at the Information Systems Department King Abdul-Aziz University as an Assistant Professor. She received international and distinguished research grants from the University of Jeddah.