Realizing the full potential of the Internet of Things (IoT) requires solving technical and business challenges including the identification of things, the organization, integration and management of big data, and the effective use of knowledge-based decision systems. These challenges, and more, are the focus for the International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) international conference series.
IIKI 2019, the eighth conference in the series, provides a dedicated forum for international experts to discuss current trends, challenges, and state-of-the-art solutions in the Internet of Things.
Extended versions of invited papers from the conference will be published in major international peer-reviewed journals.
The Internet of Things, and of services and people, coupled with social networks means a huge increase in data. Analysing Big Data will become a key focus of research, competition, and innovation in the IoT. Processing of Big Data will in the cloud, and data mining will use background knowledge of societal, cultural, and personal trends. Knowledge engineering for better data mining, new approaches to cloud computing for big data, and new paradigms for Big Data processing are key topics. The topics in this track includes but are not limited to
In recent years, advances in wireless and mobile technologies have dramatically changed our personal and working lives. Many challenges exist in wireless and mobile applications, particularly, security ensuring and privacy.. The goal of this track is to explore cutting-edge research in this area. Topics include but are not limited to
With the rapid development and wide adoption of the Internet of Things (IoT), traditional device-centric IoT is moving into a new era where ubiquitous IoT resources are encapsulated and represented in terms of smart IoT services. In this setting, IoT resources at a certain network region are dynamically integrated through innovative IoT services for the realization of the value of interconnected IoT resources and the satisfaction of (near) real-time, intelligent and local user demands, and consequently, for the promotion of IoT intelligence at the edge of the network. To address this challenge, this research track calls for submissions on the topics including, but are not limited to, the following:
Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technology will transform the way people interact with engineered systems — just as the Internet has transformed the way people interact with information. New smart CPS will drive innovation and competition in sectors such as agriculture, energy, transportation, building design and automation, healthcare, and manufacturing. Work focused on theory, algorithms, implementation and field deployments will be of great interest to the track. Areas of interests include (but are not limited to)
Blockchain, a form of Distributed Ledger Technology, has been gaining enormous attention in areas beyond its cryptocurrency roots since more or less 2014: blockchain and IoT (the Internet of Things), Blockchain And Intellectual Property, blockchain and security, blockchain and finance, blockchain and logistics. In this track, we are looking forward novel researches in blockchain and its related work in IoT. Some possible topics are listed below and not limited to the following items:
“Big data” is endowing the traditional healthcare with mobility, intelligence and convenience, which has given birth to “E-Health & Mobile Health”. In such a mobile health environment, tasks like health monitoring of patients, information exchange between doctors and patients, intelligent diagnosis and information push, etc., can be automatically and rapidly accomplished by analyzing a large number of data collected from various mobile devices. However, such mobile applications face numerous challenges due to the voluminous data and complex procedures. Topics in this track include but are not limited to:
As The Internet of Things (IoT) continues to be envisioned as the most popular technology, the research of IoT has turned to how to drive value from IoT. While people have enjoyed a treasure trove of big data from IoT, the sheer volume of data being created by the IoT creates a big problem to analyze the deluge of data and information. Recently, the rapid development of artificial intelligence technology encounters great challenges as well as opportunities for IoT.
The proposed track provides the ground for emerging research ideas on how Artificial Intelligence (AI) can make a valuable contribution to solving problems that the Internet of Things. Contributions may come from diverse fields, including artificial intelligence; dependable computing; the Internet of Things; cyber-physical systems; mobile, wearable, and ubiquitous computing; ambient intelligence; architecture.
Original technical submissions on, but not limited to, the following topics are invited:
With the development of wireless communications and networking, various communication models, interference models and channel models appeared, which lead to the effect that algorithmic design becomes more and more important and challenging. On the other hand, for the well-known reasons, centralized algorithms may not be the best choice to implement in large-scale wireless and heterogeneous networks, especially for the IoT, and distributed solutions are more desirable and appealing. Therefore, it is necessary to pay more efforts on designing distributed algorithms and protocols for solving problems from all layers of wireless networks. Areas of interest in this track include all the following aspects in wireless networks (but are not limited to)
As the wide application of information technology in the military and civil fields, information superiority has become the key factor to determine the outcome of all kinds of competition. Electromagnetic and optical sensing of target and environment, and the corresponding processing and analysis techniques are playing an increasingly important role. Therefore, the data acquisition of electromagnetic and optical characteristics, data analysis and database construction will become the key topics. The topics in this track includes but not limited to:
Ubiquitous Sensing and Intelligent Media, including environment sensing, Internet of Things (IoT), data or multimedia acquisition, intelligent media processing, harmonious human-computer interaction and pervasive computing have attracted huge interests from researchers. Accordingly, there are a variety of potential application in Ubiquitous Sensing and Intelligent Media. The aim of this track is to survey a state of art of methodologies, algorithms and systems in advanced research into Ubiquitous Sensing and Intelligent Media, which may involve any types of media data such as visual (including 2D, 3D and RGB data), audial, Electroencephalography (EEG)/MRI/CT and touch sensory data etc.
The security issues have become a huge impediment to the development of cloud computing. Due to the specific characteristics such as virtualization, multi-tenant and cross domain sharing of the data and services, the cloud environment faces more complicated threats compared to traditional information environment. All walks of life are facing the risk of information leakage, which means data security is suffering great challenges, and the security of the data storage in cloud computing needs to be ensured. Therefore, it is crucial to study on the data storage security in cloud computing. The topics in this track includes but not limited to:
- Paper Submission Deadline: Extended to September 15，2019
- Paper Acceptance Notification: September 30, 2019
- Camera-ready Paper Submissions: TBD
- Conference Date: October 25-27, 2019
We encourage submission of full papers and position papers presenting novel ideas that may lead to insightful technical discussions.
Papers should contain original contributions that have not been published or submitted elsewhere, and references to related state-of-the-art research.
Please submit your papers at
You can download Paper Template from IIKI PAPER TEMPLATE.
Please contact Yunchuan Sun (firstname.lastname@example.org) for further enquiries.
Dr. Yuguang “Michael” Fang received MS degree from Qufu Normal University, Shandong, China in 1987, PhD degree from Case Western Reserve University in 1994 and PhD degree from Boston University in 1997. He was an assistant professor in Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 as an assistant professor, then was promoted to an associate professor in 2003 and a full professor in 2005, and has been a distinguished professor since 2019. He held a University of Florida Research Foundation (UFRF) Professorship (2006-2009, 2017-2020), a University of Florida Term Professorship (2017-2019, 2019-2021) and Changjiang Scholar Chair Professorship awarded by the Ministry of Education of China (Xidian University, 2008-2011; Dalian Maritime University, 2015-present).
Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2018 IEEE Vehicular Technology Outstanding Service Award, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received the 2019 ECE Faculty Excellence Award in Research, 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017), the Editor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including the Proceedings of the IEEE (2018-present), ACM Computing Surveys (2017-present), IEEE Transactions on Mobile Computing (2003-2008, 2011-2016), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM’2005. He is the Director of Magazines of IEEE Communications Society and a Distinguished Lecturer of IEEE Vehicular Technology. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).
Topic:Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)
Abstract: Connected vehicles or self-driving cars have attracted significant attention in the last few years and will change the way people conduct their daily life. Intensive research activities have been conducted not only on collision avoidance and safe driving, but also for various kinds of sensing and communications for IoT applications. Imagine if each vehicle is equipped with powerful capability of communications, computing, storage and intelligence (CCSI capability), vehicles roaming around a city will automatically form a dynamic web of sensing, processing, communications, computing, and intelligence harvesting for intelligent decision making to improve people’s quality of life.
In this talk, the speaker will discuss various related problems and design challenges with this vision and present novel collaborative system architectures to leverage connected vehicles for various kinds of smart operations and provide cost-effective solutions to smart city design.
Dr. Ahmed Louri is the David and Marilyn Karlgaard Endowed Chair Professor of Electrical and Computer Engineering at the George Washington University, which he joined in August 2015. He is also the director of the High Performance Computing Architectures and Technologies Laboratory. Dr. Louri received the Ph.D. degree in Computer Engineering from the University of Southern California, Los Angeles, California in 1988. From 1988 to 2015, he was a professor of Electrical and Computer Engineering at the University of Arizona, and during that time, he served six years (2000 to 2006) as the Chair of the Computer Engineering Program. Throughout his career, he has held invited visiting scientist positions and served as a research fellow at various institutions, including the University of Electro-Communications, Chofu, Japan; the Communications Research Laboratory, Tokyo, Japan; the Laboratoire d’Informatique du Parallelism, Lyon, France; the University of Tsukuba, Tsukuba, Japan; the University of Paul Sabatier, Toulouse, France; and the Centre Nationale de Recherche Scientifique (CNRS), Toulouse, France. From 2010 to 2013, Dr. Louri served as a program director in the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering. He directed the core computer architecture program and was on the management team of several cross-cutting programs, including: Cyber-Physical Systems; Expeditions in Computing; Computing Research Infrastructure; Secure and Trustworthy Cyberspace; Failure-Resistant Systems, Science Engineering and Education for Sustainability; and Cyber-Discovery Initiative, among others.
Dr. Louri conducts research in the broad area of computer architecture and parallel computing, with emphasis on interconnection networks, optical interconnects for scalable parallel computing systems, reconfigurable computing systems, and power-efficient and reliable Network-on-Chips (NoCs) for multicore architectures. Recently he has been concentrating on: energy-efficient, reliable, and high-performance many-core architectures; accelerator-rich reconfigurable heterogeneous architectures; machine learning techniques for efficient computing, memory, and interconnect systems; emerging interconnect technologies (photonic, wireless, RF, hybrid) for NoCs; future parallel computing models and architectures (including convolutional neural networks, deep neural networks, and approximate computing); and cloud-computing and data centers. He has published more than 160 refereed journal articles and peer-reviewed conference papers, and is the co-inventor on several US and international patents.
Dr. Louri is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a member of IEEE Computer Society (CS) Technical Committee on Computer Architecture, the IEEE CS Technical Committee on Parallel Processing, the IEEE CS Technical Committee on Microprocessors & Microcomputers, and the Optical Society of America. He is the recipient of the highly competitive and prestigious NSF Research Initiation Award (now called the NSF CAREER Award), the Advanced Telecommunications Organization of Japan Fellowship, the CNRS Research Excellence Fellowship, the Japan Society for the Promotion of Science Fellowship, and the NSF Outstanding Service Award in recognition of his outstanding service to the field of computing and the research community, as well as several teaching awards.
He served as a general chair for the 25th IEEE CS Annual Symposium of the High Performance Computer Architecture (HPCA-25, 2019), the 13th IEEE CS Annual Symposium of the High Performance Computer Architecture (HPCA-13, 2007), the general co-chair of the Second Workshop on Optics in Communications and Computer Sciences (1999); and the general chair for the Workshop on Optics in High-Performance Computing Systems (1996). He is the 2019 area chair of the 34th IEEE International Parallel and Distributed Processing Symposium.
Dr. Louri is the Editor-in-Chief of the IEEE Transactions on Computers, the flagship journal for the IEEE Computer Society. He is also currently serving as associate editor for the IEEE Transaction on Sustainable Computing. He previously served on the editorial boards for IEEE Transactions on Computers, IEEE Transactions on Emerging Technology for Computing, and Cluster Computing, the Journal of Networks, Software Tools and Applications. Dr. Louri’s recent IEEE Computer Society committee service includes being: chair for the IEEE CS Fellow Evaluation Committee (2019), an evaluator on the IEEE CS Fellow Evaluation Committee (2012), vice-chair for the IEEE CS Fellow Evaluation Committee (2013, 2017, and 2018), and a member of IEEE CS Computer Entrepreneur Award Committee (2017).
He has served and continues to serve on the executive and technical program committees of numerous international conferences, including the IEEE Symposium on High Performance Computer Architecture (HPCA), the International Symposium on Computer Architecture (ISCA), the International Parallel & Distributed Processing Symposium (IPDPS), the International Conference on Parallel Processing (ICPP), ACM/IEEE Symposium on Architectures for Networking & Communication Systems (ANCS), IEEE/ACM International Symposium on Microarchitecture (Micro), the International Conference on Parallel Architectures & Compilation Techniques (PACT), ACM/IEEE International Symposium on Networks-on-Chips (NOCS), IEEE Hot Interconnects, the Optical Society of America, meetings on Optics in Computing, among many others. He also was invited as panel moderator of several conferences including NOCS, HPCA, and HPCC.
Topic:New Era of Machine-Learning Driven Computer Architecture Research
Abstract: While the computing world is reaching the limits of Moore’s Law, demands for performance in excess of 1 million trillion floating-point operations per second (1 exaflops) are arising from novel paradigms to address applications in big data, machine learning and analytics from nearly countless resources. This computing challenge has never been as complex or as critically important as it is now. We are witnessing a new computing era calling for a migration from an algorithmic based compute world to a machine-learning based, data-intensive, memory-centric computing paradigm in which human capabilities are scaled and magnified. This paradigm shift is driven by the abundance of data (big data era) and the computing resources required to process it in application spaces spanning mobile/embedded computing, cloud/edge computing, and the internet of things. This new trend has reinvigorated computer architecture research. Researchers are considering new ways forward based in machine learning.
In this talk, I will first briefly describe the new mega trends in computer architecture research. I will then present our own research efforts and introduce a design paradigm that exploits the use of machine-learning to simultaneously improve power-efficiency, performance, and reliability for heterogeneous multicore architectures and on-chip communications. The aim is to provide insights and directions of integrating architectural innovations with machine learning in a holistic approach for future computer architecture research.
WEIFENG LV, a Professor, the Dean of the School of Computer Science and Engineering, and Vice Director of the State Key Laboratory of Software Development Environment, Beihang University.
Weifeng Lv received his Ph.D. degree in computer science from Beihang University in 1998. His current research interests include massive information system, urban cognitive computing, swarm intelligence, and smart cities. He is a professor of computer science andthe dean of the School of Computer Science and Engineering, as well as the vice director of the State Key Laboratory of Software Development Environment, at Beihang University. He also serves as the Vice-President and Secretary-General of the China Software Industry Association and the director of National Engineering Research Center for Science and Technology Resources Sharing Service. He received multiple internationally renowned awards, including the second prize of the 2016 China National Science and TechnologyInvention Award and the first prize of the 2010 Beijing Science and Technology Award.
Xuemin (Sherman) Shen is a University Professor, and Associate Chair for Graduate Study, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen’s research focuses on wireless resource management, wireless network security, smart grid and vehicular ad hoc and sensor networks. He is the Editor-in-Chief of IEEE IoT J. He serves as the General Chair for Mobihoc’15, the Technical Program Committee Chair for IEEE Globecom’16, IEEE Infocom’14, IEEE VTC’10, the Symposia Chair for IEEE ICC’10, the Technical Program Committee Chair for IEEE Globecom’07, the Chair for IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen is an elected IEEE ComSoc Vice President – Publications, the chair of IEEE ComSoc Distinguish Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the Excellent Graduate Supervision Award in 2006, and the Premier’s Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society.
Topic:Reinforcement Learning for Resource Management in Space-Air-Ground (SAG) Integrated Vehicular Networks
Abstract: Space-Air-Ground integrated Vehicular Network (SAGVN) is a prominent paradigm to provide an extremely versatile vehicular network that can simultaneously guarantee ultra-reliability low-latency communications (URLLC) and deliver high-bandwidth traffic anywhere, any environment condition, and any event at anytime. However, it is challenging to manage and allocate the terrestrial network, aerial network (UAV), and space (satellite) resources simultaneously and efficiently, as they have heterogeneous access features in terms of delay, throughput, and coverage range. In addition, high vehicle mobility and real-time decision requirement further render the problem intractable. In this talk, we advocate the usage of reinforcement learning for resource management in SAGVN, which can enable model-free and fast decision makings for adaptive access control, on-demand UAV deployment, and UAV trajectory design. We will also show the detail development of our SAG simulator and some demos.
JUNSHAN ZHANG received his Ph.D. degree from the School of ECE at Purdue University in 2000. He joined the School of ECEE at Arizona State University in August 2000, where he has been Fulton Chair Professor since 2015. His research interests fall in the general field of information networks and data science, including communication networks, Internet of Things (IoT), Fog Computing, social networks, smart grid. His current research focuses on fundamental problems in information networks and data science, including Fog Computing and its applications in IoT and 5G, IoT data privacy/security, optimization/control of mobile social networks, cognitive radio networks, stochastic modeling and control for smart grid.
ZHENGJUN ZHANG is Full Professor of Statistics in the Department of Statistics at University of Wisconsin-Madison. He received his Ph.D. degrees in Management Engineering and Statistics from Beihang University and the University of North Carolina at Chapel Hill, respectively. Dr. Zhang’s main research areas include the Big Data structure and inference, particularly in extreme value analysis for interdependent critical risk variables in finance, climate, and
medical sciences, in stochastic optimizations in large and complex systems. Some of his selected journal publications are Annals of Statistics, Journal of Royal Statistical Society, Series B, Journal of American Statistical Association, Journal of Econometrics,
Journal of Banking and Finance, Extremes, and Automatica. Dr. Zhang is elected fellow of the American Statistical Association. He has been serving as a lead editor of the annals issues of Financial Engineering and Risk Management, Financial Econometrics in the Age of the Digital Economy, with Journal of Econometrics, and as associate editors with Journal of Business and Economic Statistics, Statistica Sinica.
Topic:Virtual Standard Currency
Abstract: In the global ﬁnancial and business world, the wealth that an entity owns usually is composed of various assets or measured by different currencies, whose value is dependent on the ﬂuctuation of the foreign exchange rates. The analysis of dynamics associated with the foreign exchange rates is one of the important concerns to market strategists, ﬁnancial planners or risk managers such that a fundamental problem is induced as how to measure the wealth objectively. In this talk, a concept of the virtual standard currency (VSC) is proposed as a methodology to measure the wealth in a currency portfolio objectively. The VSC is regarded as a virtual base currency such that any real foreign exchange rate matrix is approximated by a rank one matrix consisting of two virtual exchange rate vectors. The existence of the VSC is proved through an optimal solution to the basic rank one approximation problem. The evaluation of wealth in a currency portfolio is free from the buying or selling operations in real currencies so that the currency portfolio is kept invariant during the measurement. The VSC can eliminate uncertainties arising from the choice of specific real currency and the interactive effects across different kinds of currencies. Also, the modiﬁed power method is designed to search for the virtual exchange rates numerically, whose convergence is also established. Furthermore, some practical examples are presented to verify the feasibility and efficiency of the modiﬁed power method in approximating a foreign exchange rate matrix. Joint work with Hongxuan Huang.
Several high-quality international journals will carry selected papers from the conference in specially commissioned theme issues. Note: Most accepted papers in IIKI2018 have been recommended to SCI or EI indexed journals for publication, including Personal and Ubiquitous Computing (SCI indexed), International Journal of Distributed Sensor Networks (SCI indexed) and so on.
You can download Paper Template from IIKI PAPER TEMPLATE.
Extended version of selected papers from the conference will be recommended to the following journals for publication:
Personal and Ubiquitous Computing (ISSN: 1617-4909, SCI IF: 2.395) for longer contributions and expended papers on ubiquitous computing.
Procedia Computer Science(ISSN: 1877-0509)is an electronic product focusing entirely on publishing high quality conference proceedings. Procedia Computer Science enables fast dissemination so conference delegates can publish their papers in a dedicated online issue on ScienceDirect, which is then made freely available worldwide.
Electrotechnical Review/Elektrotehniški vestnik(ISSN: 0013-5852)is journal of electrical engineering and computer science. The journal has respectful publishing tradition and celebrated 80th volume in 2013. Elektrotehniški vestnik is indexed in EI Compendex, Scopus Elsevier and METADEX databases. Scopus Index: SJR(2016): 0.221, SNIP(2016): 0.429
The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds.
International Journal of Distributed Sensor Networks (SCI IF: 1.239) focuses on applied research and applications of sensor networks.
Remote Sensing (ISSN 2072-4292) is a peer-reviewed open access journal about the science and application of remote sensing technology, and is published semi-monthly online by MDPI. Remote Sensing is affiliated to The Remote Sensing Society of Japan (RSSJ) and members receive a discount on the article processing charge.
International Journal of Distributed Sensor Networks (SCI IF: 1.239) focuses on applied research and applications of sensor networks.
Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.
The overall aim of the EURASIP Journal on Wireless Communications and Networking(EURASIP JWCN) is to bring together science and applications of wireless communications and networking technologies with emphasis on signal processing techniques and tools. It is directed at both practicing engineers and academic researchers. EURASIP Journal on Wireless Communications and Networking will highlight the continued growth and new challenges in wireless technology, for both application development and basic research.
Security and Communication Networks is an international journal publishing original research and review papers on all security areas including network security, cryptography, cyber security, etc. The emphasis is on security protocols, approaches and techniques applied to all types of information and communication networks, including wired, wireless and optical transmission platforms.
Personal and Ubiquitous Computing publishes peer-reviewed multidisciplinary research on personal and ubiquitous technologies and services. The journal provides a global perspective on new developments in research in areas including user experience for advanced digital technologies, the Internet of Things, big data, social technologies and mobile and wearable devices.
Applied Bionics and Biomechanics( ISSN: 1176-2322 EISSN: 1754-2103) is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles that seek to understand of the mechanics of biological systems, or that use the functions of living organisms as inspiration for the design of new devices.
Hongteng International Hotel 鸿腾国际大酒店
Address: No.6 Aoti Zhong Lu, Jinan city, Shandong province
Foreign citizens must obtain a Chinese visa before entry into China, with the exception of visa-free entry based on relevant agreements or regulations. An Business Visa (F Visa) is issued to foreign citizens who are invited to China for a visit, research, lecture, business, exchanges in the fields of science, technology or culture, advanced study, or internship for a period of no more than 6 months.
Beijing Normal University.
Qilu University of Technology (Shandong Academy of Sciences)
Yinglong Wang, Qilu University of Technology (Shandong Academy of Sciences)
Bo Yang, Linyi Univeristy
Jiguo Yu, Qilu University of Technology (Shandong Academy of Sciences)
Omer Rana, Cardiff University, UK
Chenglei Yang, Shandong University
Zhongwen Guo, Ocean University of China
Yunchuan Sun, Beijing Normal University, China
Zhipeng Cai, Georgia State University
Andrej Kos, University of Ljubljana, Slovenija
Houbing Song, West Virginia University, USA
Antonio J. Jara, University of Applied Sciences Western Switzerland (HES-SO), Switzerland
Huansheng Ning, University of Science & Technology Beijing, China
Xiao Bai, Beihang University, China
Dongxiao Yu, Shandong University
Haodi Wang, Beijing Normal University, China
Anming Dong, Qilu University of Technology (Shandong Academy of Sciences)
Weiyang Chen, Qilu University of Technology (Shandong Academy of Sciences)
Xuesong Jiang, Qilu University of Technology (Shandong Academy of Sciences)
Qinghe Du, Xi’an Jiaotong University, China
Zhangbing Zhou, China University of Geosciences (Beijing), China & TELECOM SudParis, France
Guangjie Han, Hohai University
Qing Yang，University of North Texas
Shengling Wang, Beijing Normal Univerity
Yu Bai，California State University, Fullerton
Zhihan Lv, University College London (UCL), UK
Yuan Gao, Tsinghua University, China
Meihong Yang, Qilu Univeristy of Technology
Xingang Wang, Qilu University of Technology
Feng Li, Shandong University
Hui Xia, Qingdao University
Beijing Normal University
Qilu University of Technology
The Leasing Foundation
Science and Technology on Optical Radiation Laboratory
Science and Technology on Electromagnetic Scattering Laboratory
Please contact Yunchuan Sun (email@example.com) for further enquiries.