2023 3rd International Conference on Smart City Engineering and Public Transportation (SCEPT 2023)
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Keynote Speaker of SCEPT 2023

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Prof. Seyed Mohammadreza Ghadiri, Chancellor, Swiss Institute of Management and Innovation, Switzerland

Biography: Prof. Dr. Ghadiri is a multidisciplinary expert, and he has been involved in teaching, research, and supervision of diverse projects in different fields and disciplines including Civil Engineering, Transportation and Logistics, and Business for over 17 years. He is a competent scholar with over 80 publications including journals, conferences, patent, books, and book chapters. He is a preferred expert in smart city, smart mobility, and intelligent transportation system. During the past years, he has been invited as a Key-note speaker and guest professor by different institutions and event organizers from different countries including China, Iran, Spain, Poland, Switzerland, France, Vietnam, India, Myanmar, and Nigeria to deliver his speeches, share his research findings, and to train the people. Outstanding Scientist Award (India, 2020), Lifetime Achievements Award (2019, Malaysia), Outstanding School award (2018, Malaysia), and a Silver Prize (Malaysia, i-ENVEX 2015) are some of the recognitions he has obtained previously. Recently, he is the Chancellor, and the Dean of School of Aviation Management and Logistics at Swiss Institute of Management and Innovation in Switzerland.

Speech Title: Smart Water System in the Context of a Smart City

Abstract: Today over 50% of the world’s population lives in cities, and it is projected over 70% of the world’s population will reside in urban regions by 2050 and over 80% at the end of the century. This rapid growth of urbanization will bring about enormous challenges and impacts on society and the environment and one of them is water management. It is forecasted that the world inhabitants will use about 30% more water in 2025 than 2000, with further water shortages expected. Many countries and continents around the world are facing severe water shortage problems and they will be unable to provide access to clean water for economic reasons. In recent years, there were many consensuses on the establishment of the sustainable urban development or smart growth to provide effective countermeasures to address the water management issues. Today, smart cities are using different technologies and devices, including IOT, sensors, smart meters, monitors, mapping and other data-sharing tools for smart water programs. The market for these kinds of technologies is growing rapidly and it is projected to reach up to 18.5% by 2024 ($31.6 billion) compare with 2018. In this speech the key elements of smart cities and smart water management system will be explored and discussed.


Assoc. Prof. Wei Wei, Senior Member of ACM/ IEEE/ CCF, Xi'an University of Technology, China

Biography: Dr. Wei Wei is an associate professor of School of Computer Science and Engineering,Xi'an University of Technology, Xi'an 710048, China. He is a senior member of IEEE, CCF. He received his Ph.D. and M.S. degrees from Xi'an Jiaotong University in 2011 and 2005, respectively. He ran many funded research projects as principal investigator and technical members. His research interest is in the area of wireless networks, wireless sensor networks Application, Image Processing, Mobile Computing, Distributed Computing, and Pervasive Computing, Internet of Things, Sensor Data Clouds, etc. He is an editorial board member of FGCS, IEEE Access, AHSWN, IEICE, KSII, etc. He published more than 20 high-level papers as first author, including ESI highly cited (continuous high cited for more than 42 months +, esi-2019 and 2020 highly cited) and 19 hot articles (the world's top 0.1%), and 6 papers in jcr-1 district and CCF B international journals of science and technology of China. As the corresponding author, he published 4 top-level journal papers in zone 1 of the Chinese Academy of Sciences + (Information Sciences; IEEE trans. on service computing; IEEE communication magazine; IEEE Trans on information industrial information). His h-index is 41+. The number of citations of published articles is: the maximum number of citations of a single Google is more than 297 +, and the number of citations of a single SCI is more than 200 +; Google cited more than 6021 times in total, and SCI cited more than 2702 times in total. As a senior member of IEEE, he served as the official editorial board and reviewer of many high-level journals, such as "ACM on Internet technology", "IEEE Trans. Services Computer"., "IEEE Rrans. on Networking", "Information Sciences", "IEEE Trans. on Computers", "IEEE TVT", "IEEE TNNLS", "IEEE ICDCS", "Pattern Recognition", "Computer Networks", "Future generation computer systems", and many international conferences TPC members and co chairs. At the same time, he has served as the leading editor of a number of internationally renowned journals, such as ACM tosn, IEEE its, IEEE TII, IEEE wireless communication magazine, IEEE intelligent systems, personal and ubiquitous computing, etc.

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Prof. Syed Abdul Rehman Khan, Xuzhou University of Technology, China

Biography: Dr Syed Abdul Rehman Khan is an expert of Supply Chain and Logistics Management. Dr Khan achieved his CSCP—Certified Supply Chain Professional certificate from the U.S.A. and completed his PhD in China. Since 2018, Dr Khan is a teacher of Logistics and Supply Chain Management. He has more than twelve years’ core experience of supply chain and logistics at industry and academic levels. He has attended several international conferences and also has been invited as a keynote speaker in different countries. He has published more than 100+ scientific research papers in different well-renowned international peer-reviewed journals (SSCI/SCI and ABS listed) and conferences, including couple of research paper indexed in Essential Science Indicators (ESI). Dr Khan is the authored of 7 books related to the sustainability in supply chain and business operations. He is a regular contributor to conferences and workshops around the world. During the last three years, Dr Khan has won 5 different national/provincial-level research projects. Besides, Dr Khan has achieved scientific innovation awards three times consecutively by the Education Department of Shaanxi Provincial Government, China. Further, Dr. Khan is the member of project evaluation board of APCIS – Supply Chain and Logistics, US; National Science Foundation and Ministry of Education, Oman; Science Foundation of Kazakistan; and Business Research and Service Institute, US. Also, Dr Khan holds memberships in the following well-renowned institutions and supply chain bodies/associations: APCIS-U.S.; Production and Operation Management Society, India; Council of Supply Chain Management of Professionals U.S.; Supply Chain Association of Pakistan; and Global Supply Chain Council China.

Keynote Speaker of SCEPT 2022

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Assoc. Prof. Ata Jahangir Moshayedi, Jiangxi University of Science and Technology, China

Speech Title: Service robots, mission and obstacle in today's since and research world and modeling the AGV/MIR service robot from A to Z

Abstract: Service robots are one of the most critical robot's applications that enter human life. This domain consists of elements from human health to industry. Somehow, this robot can save a human's life or help him secure from the load-carrying job and all repeated work that may interfere with job accuracy. Based on ISO 8373:2012, the service robots split into personal service types of robots characteristically meant to use outside of manufacturing and the professional setting robots and professional service robots that can use as non-commercial individuals professional service robots can use as commercial professionals. Aservice robot is a semi-autonomous or fully autonomous robot. This type of robot was gradually accepted as a human assistant, used in various applications and jobs.


Assoc. Prof. Wei Wei, Xi’an University of Technology, China

Speech Title: Based on IoTs Parking Navigation with Continuous Information Potential Field research 

Abstract: As Internet of Things(Iots ) are increasingly being deployed in some important applications, it becomes imperative that we consider application requirements in in-network processes. We intend to use a WSN to aid information querying and navigation within a dynamic and real-time environment. We propose a novel method that relies on the heat diffusion equation to finish the navigation process conveniently and easily. From the perspective of theoretical analysis, our proposed work holds the lower constraint condition. We use multiple scales to reach the goal of accurate navigation. We present a multi-scale gradient descent method to satisfy users’ requirements in WSNs. Formula derivations and simulations show that the method is accurately and efficiently able to solve typical sensor network configuration information navigation problems. Simultaneously, the structure of heat diffusion equation allows more flexibility and adaptability in searching algorithm designs.