Springer Computer Vision and Audition in Urban Analysis Using the Remorph Framework: 192 (Studies in Systems, Decision and Control, 192)

Artificial Intelligence (AI) is penetrating in all sciences as a multidisciplinary approach. However, adopting the theory of AI including computer vision and computer audition to urban intellectual space, is always difficult for architecture and urban planners. This book overcomes this challenge through a conceptual framework by merging computer vision and audition to urban studies based on a series of workshops called Remorph, conducted by Tehran Urban Innovation Center (TUIC). From the Back Cover Artificial Intelligence (AI) is penetrating in all sciences as a multidisciplinary approach. However, adopting the theory of AI including computer vision and computer audition to urban intellectual space, is always difficult for architecture and urban planners. This book overcomes this challenge through a conceptual framework by merging computer vision and audition to urban studies based on a series of workshops called Remorph, conducted by Tehran Urban Innovation Center (TUIC). About the Author Dr Mohammad Ali Nematollahi received his B.S. in computer engineering (software) from Yazd University, Iran in 2008. He completed his master's degree in computer engineering (software) at the Islamic Azad University (IAU), Dubai, UAE in 2011. He holds a Ph.D in computer and embedded systems engineering from University Putra Malaysia (UPM) in 2015. He also served as a Post-doctorate at National Electronic and Computer Technology Center (NECTEC) in 2016. Currently, he is teaching several Master courses and supervising some master thesis in IAU as assistant professor. He has published a book and numerous articles in international journals. His research interests include digital signal/image processing and digital watermarking. He currently works as a Post-doctorate fellowship in smart city at the Tehran Urban Innovation Center (TUIC). Dr Nashid Nabian, has a master of architecture degree from Shahid Beheshti University, a master of urban design from University of Toronto, a doctoral degree from Harvard Graduate School of Design, and has completed a post-doctoral fellowship at MIT Senseable City Lab.  Nashid’s research focuses on the digital augmentation of architecture and constructed landscapes, particularly public spaces, and how novel technologies impact the spatial experience by soliciting the needs and desires of inhabitants or users. She is the author of many seminal articles and book chapters in the field of architectural and urban technologies and is a frequent contributor to Iranian periodicals focused on Architecture and Urbanism. Her research and projects in the field of digital augmentation have been showcased in various venues, including the ACADIA, IEEE Digital Ecosystems Conference, the UCMedia Conference on User-Centric Media, the Mobile Multimedia Communications Conference, and Seed magazine.  Samaneh Shahbazi received her BSc of Architecture at IAU of Qazvin-Iran. She has started her professional career from 2009 in different companies. She completed her MSc of Sustainable Architecture at the University of Politecnico di Milano and graduated with 110 cum laude in 2016. During her studies, she was the winner of MI/Arch-2014 architecture festival at Politecnico di Milano and she gained the certificate of the “VIP Review” in urban renovation regarding its subtle, detailed urban designing, and landscape qualities from failed architecture (fa), a Dutch company. Since 2016, she has started her research on Remorph at Tehran Urban Innovation Center (TUIC). Remorph is based on a new approach in reading, visualizing the city through its hidden layers. Her research interests include smart cities, soundscape, and urban livability measurements. Currently, she is coordinating different workshops at TUIC w.r.t the idea of the Remorph.