Smart Spaces

Zhihan Lv is a lecturer, engineer, and researcher in virtual reality, digital twins and metaverse major in mathematics and computer applied technology at the Uppsala University, Visby, Sweden. His research application fields widely range from everyday life to traditional research fields (i.e. geography and transportation, biology and chemistry, medicine and rehabilitation, industry and entertainment). Over the years, he has completed several projects successfully on pc, website, smartphone and smartglasses applications. Dr. Lv is an ACM Distinguished Speaker, IEEE Senior Member, and British Computer Society Fellow. He has published more than 270 high-quality papers in virtual reality, Internet of Things, big data and other fields, in which 43 papers were published in the top journal IEEE/ACM Transactions Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). He was a Distinguished Guest Professor at Hubei University of Technology, China, for the duration of three years (2016-2019). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 55). He has been awarded teaching and research merits by the Spanish Ministry of Science and Education, by IEEE conferences and best paper awards. Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and Clarivate WoS Science Citation Index) and of International Journal of Grid and Utility Computing, (Emerging Sources Citation Index), and AE/EB Member of several indexed Int'l Journals. Prof. Xhafa is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things.His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, security and trustworthy computing and machine learning, among others. He can be reached at fatos@cs.upc.edu. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos

• 1. Smart Spaces: a Review2. An Exploration of Theory for Smart Spaces in Everyday Life: Enriching Ambient Theory for Smart Cities3. Data Fusion and Homogenization: Two key aspects for building Digital Twins of Smart Spaces4. Secured Digital-Twin Data Service for the Internet of Smart Things5. Creating environmentally conscious products and environments with smart materials6. IoT Interoperability Enhances Smart and Healthy Living7. The ecosystem of smart spaces8. Exploring the role of IoT for Sustainable Enhancement in Smart Spaces9. Machine Learning Frameworks in IoT Systems: A Survey, Case Study, and Future Research Directions10. Augmented Reality Content And Relations Of Power In Smart Spaces11. Ensuring a harmonious state of smart space in the presence of conflicting interests of its elements12. Assessment and monitoring of human emotional state and behavour in a smart space environment13. Digital Twins for Smart City14. From smart city to smart urban spaces. Prerequisites for the formation of smart urban spaces based on the participation of residents in the largest cities of Russia15. Smart and Sustainable Solutions for Thriving Tourism Destinations16. Design of a Smart Parking-Space Allocation System for Greater Energy Efficiency17. Smart cities as spaces of flows and the digital turn in architecture and urban planning: Big Data vis-à-vis environmental and social equity18. Generative Adversarial Network (GAN) Assisted Smart IoT Data Service for Disaster Damage Assessment19. Design and Development of Enhanced Algorithm for the Demarcation of Ocean Wakes from SAR Imagery of Rough Sea Condition20. A way to ensure information security of smart spaces