Workshop 1 Communication-sensing-computing Cooperative Network and Technology
Topics include (but not limited to):
1 Intelligent green energy-saving modulation coding and intelligent access control with large connections and low latencyfor 6G
2 Real-time collaborative dynamic scheduling and performance optimization of multi-edge nodes based on communication-sensing-computing cooperative network 3 Robust and efficient deep reinforcement learning technology for communication-sensing-computing cooperative network 4 Communication-sensing-computing coperative technology for satellite-Ground Integration Network 5 Agile-computing Aided Wireless Communication technology and Application 6 Reconfigurable architecture and efficient network management of 6G communication-sensing-computing cooperative integration network
The huge amount of data drives the evolution of 6G network to intelligence, and the demand for computing power is growing rapidly. In order to solve the problems of insufficient communication performance, huge sensing data and unbalanced computing power at the edge of the network, the key technology research of communication-sensing-computation integration is carried out to realize the optimal performance balance of communication, sensing and computation, and enhance the endogenous intelligent sensing capability of the nodes.
The aim of this workshop is to bring together the research accomplishments provided by researchers from academia and the industry. The other goal is to show the latest research results in the field of intelligent communication-sensing-computing integration technology. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.
Zhiyong Luo, professor and doctoral supervisor of Sun Yat-sen University, "One Hundred Talents Plan" talent, and engaged researcher of Pengcheng National Laboratory. His research interests include 5G-A/6G communications, satellite Internet,intelligent computing and artificial intelligence applications.
He currently serves as the general expert of the Key Research and development program of The Ministry of Science and Technology "Broadband Communication and New Network" and the general expert of the key field program of Guangdong Province "New Generation Communication and Network". He has participated in 99X/81X/93X and other key plans, and has been responsible for more than thirty models and pre-research projects and general technology. He is in charge of the 863 program of the Ministry of Science and Technology for the development of professional digital communication network chips, the Ministry of Science and Technology of the State software radio science and technology. Based on these projects, he has published hundred of papers in journalsand international conferences.
Workshop 2 Complex System Modeling and Its Digital Solutions
Summary Logistics industry is a pillar industry related to the national economy. Its inefficient (not enough to information building) and disordered (not strong to intensive degree) operation is an important reason for the slow decline of China's logistics GDP (14.6%) into the bottleneck period, so that there is a significant gap compared with advanced logistics countries (GDP (8~9%)). In order to meet the needs of the digital development for the national logistics industry and break through the above bottlenecks, this project focuses on the land transportation segment of "Depot - Vehicle dispatching – Order delivery"，with " formalizing mathematical description problem for the normal mode modern logistics ", "vehicle dispatching/order delivery in multi-goal/multi-constraint/multi-element optimization algorithm" and "building high-speed/high-accuracy vehicle dispatching/order delivery support system " of these three scientific problems on theory and application technology research, aiming to make achievements in mathematical modeling (discrete mathematical description), core algorithm (intelligent calculation of multi-level mixed data structure) and application development (constructing of vehicle dispatching/order delivery support system); The research carries out the above research plan with 11 detailed steps; Fulfillingthe great vision of digitalization/precision/intelligence/efficiency/low-carbonization, and contributes to the huge needs of delicacy management and high-quality development of logistics industry; At the same time, it is expected to use for reference to the related areas such as cargo and shipping.
Dr. Kewei Chen received his Ph.D. degree from Tokyo Institute of Technology in 2000, and was recognized and funded by IPA software in 2001. In 2002, he won the Prize of Excellent Paper in Fuzzy Science of Japan. In the past 25 years, he has participated in 19large-scale scientific research projects (7 of which are the core technology leaders) and published 26core papers in international top journals and international conferences. In 2018, as a high-level leading talent recruited by the Organization Department of Yuyao-city, Ningbo, Dr. Chen settled in two enterprises, Ningbo Intelligent Manufacturing Industry Research Institute（Robot Innovation Center）and Danian Technology Group, after that,successfully applied for national distinguishedexpert. In January 2020, he joined Ningbo University and worked as a distinguished professor in school of Mechanical Engineering and Mechanics, specializing in intelligent manufacturing and robot teaching and research. In March 2021, he was appointed as the director of the Institute of Advanced Intelligent Robots.
Workshop 3 Practical Security of Quantum Key Distribution
SummaryQuantum information system security has been one of the key fields for quantum technologies, bringing forward many important developments. In principle, quantum cryptography can provide information-theory security based on the basic principle of quantum physics. There is no doubt that QKD has taken the spotlight in terms of the use of quantum information in cryptography, and new quantum information-based cryptography applications are coming up all the time as well.
Despite the fact that QKD provides the ultimate answer to the security problem, its optimal implementation is difficult to achieve in reality, and there are a number of unsolved issues. In the design and implementation of such cryptographic systems, a balance between security, speed, and distance should be considered. Simultaneously, it is vital to minimize costs and improve efficiency in the system's manufacturing and deployment. In addition, the gap between theory and practice continues to expose flaws. To overcome these concerns, additional research into quantum repeaters or quantum networks is needed to improve communication distance, as well as practical security analysis to investigate the disparities between real-world QKD implementations and theoretical models, and the development of more robust systems.
The aim of this workshop is to bring together the research accomplishments provided by researchers from academia and the industry. The other goal is to show the latest research results in the field of Practical security of quantum key distribution. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.
Assoc. Prof. Duan Huang, Central South University, China
Duan Huang received a Ph.D. degree in Information and Communication Engineering from Shanghai Jiao Tong University. He worked as a associate professor at the School of Computer Science, Central South University. His research interests include Cryptography and Information Security, OptoElectronic Integrated Chip.
He participated in the National Natural Science Foundation, the Sci-Tech Innovation 2030 Agenda, etc. Based on these projects, he published more than 100 papers in APS/IEEE/OSA Journal and other journals/conferences.
Workshop 4The Path Towards AI-Native Wireless Networks: A Journey through Metaverse, Digital Twins, and Extended Reality (XR)
SummaryFuture wireless systems, namely 6G systems and beyond, must cater to the complex and stringent requirements of emerging applications such as the metaverse, holographic teleportation, digital twins, and Industry 5.0. Nonetheless, delivering a disruptive leap in wireless technologies cannot be fulfilled by continuing to pursue incremental advances to conventional wireless system components such as spectrum and multi-antenna technologies. Instead, it is necessary to rethink the way in which the entire wireless system architecture and functions are designed and operated. Along those lines, current 5G and 6G research efforts, have already demonstrated the efficiency of using AI-driven augmentation in addressing various challenges throughout the network layer stack. Building, the so-called, “metaverse” requires engineering a self-sustaining, hyper spatiotemporal, and fully immersive digital meta-life. This requires future wireless networks to have three fundamental components: advanced holographic XR content, support for unprecedented quality-of-experience requirements, and communication links transformed into a reasoning-based system. Notably, the research on the interplay between the metaverse, its key constituents, and AI-native wireless networks is a novel research avenue that has not been well investigated in the recent literature. As such, this workshop’s goal is to promote research on this research thrust and bring together contributors from academia and industry to present novel research insights on the practical implementation, analysis, design and modeling, and applications, and to identify technical challenges. This workshop further opens the floor for interactive live discussions among highly skilled researchers (through its panel discussion) in order to explore the potential advantages realized when transforming today’s wireless networks into metaverse-ready AI-native wireless networks.
Keywords AI-native, metaverse, digital twins, wireless networks, machine learning
Christina Chaccour, Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, VA, USA
Christina Chaccour is an electrical engineer, researcher, and entrepreneur. She received the B.E. degree with Summa Cum Laude Honors from Notre Dame University-Louaize, Lebanon, in 2018 and the M.S. degree from Virginia Tech, Blacksburg, VA, USA, in 2020. She is currently pursuing the Ph.D. degree with the Bradley Department of ECE, Virginia Tech, and expects to graduate in Spring 2023. After completing her degree, she plans to join Ericsson, Inc. as a Network Solutions Manager. Christina's research interests include extended reality (XR), 5G and 6G networks, terahertz (THz) frequency bands, machine learning, and semantic communications. She contributed to the first performance analysis results of 6G systems at THz frequencies for next-generation XR and holographic systems. She co-founded the startup Internet of Trees (IOTree), which won several awards. Christina held internships at Ericsson Inc., Plano, TX, USA, and Cadence Design Systems, Munich GmBh. Her contributions to the field have been recognized by the Best Paper Award at the 10th IFIP Conference on New Technologies, Mobility, and Security (NTMS) in 2019, the exemplary reviewer award (fewer than 2%) from IEEE Transactions on Communications in 2021, and being featured on the Top Access article listing for her paper in IEEE COMST from June to November 2022.
Omar Hashash, Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, VA, USA
Omar Hashash received his BE in Communications and Electronics Engineering from Beirut Arab University, Lebanon in 2019 and his ME in Electrical and Computer Engineering from the American University of Beirut, Lebanon in 2021. He is currently a PhD student at the Electrical and Computer Engineering Department at Virginia Tech. His research interests lie at the intersection of digital twins, the metaverse, wireless networks, and generalizable AI/machine learning. Mr. Hashash recently published one of the first works at the IEEE SPAWC'22 and IEEE ICC'23 that explored how wireless, AI, and computing techniques can come together to support massive digital twinning of physical systems in the metaverse.
Workshop 5Chaos Cryptography and Quantum Chaos Cryptography with Quantum Computing
SummaryWith the development of information network, the requirements for information security are increasing. Information security technology means the technical and management methods for security protection which are established and adopted for the data processing system to protect computer hardware, software and data from damage, change and disclosure due to accidental and malicious reasons. Among them, encryption technology can eﬀectively prevent from many attacks such as wiretapping and other attacks. The chaotic signal, similar to a random signal, has a very complicated trajectory and is diﬃcult to predict. Therefore, it has inherent concealment and is widely used in encryption technology, which make chaos cryptography a hot research area.
With the rapid development of quantum technology, quantum chaos encryption achieves better security. However, as quantum chaos has extremely complex dynamic characteristics, traditional computing methods are more difficult. As there is a large amount of information in the present society to deal with, many new computing technologies have emerged, and quantum computing is one of the most significant paradigm shifts. Quantum computing possesses the huge computing power that can simulate systems containing dozens of interacting particles. The computing power of quantum computing far surpasses that of conventional computers. Quantum computing, while it is still in their infancy, are influencing a new generation of simulation techniques.
The aim of this workshop is to bring together the research accomplishments provided by researchers from chaos cryptography andquantum chaos cryptography with quantum computing. The other goal is to show the latest research results in the field of chaos cryptography, and understand how chaos and quantum chaos increase security. We encourage prospective authors to submit related distinguished research papers on the subject.
Assoc. Prof. Fangfang Zhang, Qilu University of Technology (Shandong Academy of Sciences)
Fangfang Zhang, received a Ph.D. degree in control theory from Shandong University. She worked as an associate professor in Department of Communication Engineering, Qilu University of Technology (Shandong Academy of Sciences). Her research interests include chaos communication and quantum chaos.
As the project leader, she has undertaken the project of National Natural Science Foundation project, three school level projects and participated in five provincial projects. She is an IEEE member, a senior member of China artificial intelligence society, a member of the youth working committee of China automation society, and a reviewer of domestic and foreign journals such as "nonlinear dynamics" and "IEEE internet of things" and so on.
She has published more than 90 SCI and EI papers in important journals and academic conferences at home and abroad, including 7 top journals. Twenty invention patents are authorized, including one American invention patent. She won the first prize of Shandong Machinery Industry Science and technology award in 2021, one second prize in 2020 and one third prize in 2016 of Shandong University Science and technology award.
Workshop 6 Merge Storage and Computing by Exploiting the Novel Device and Circuit
SummaryMost of the computers today are 'von Neumann' machines suffering from the serious limitation known as the von Neumann bottleneck which exhibits as "memory/power" wall. In some application scenarios, processors in modern computers may be performing computation only 1% of the time while they are waiting for data to be fetched from main memory. To achieve some modern applicationslike search, gene sequencing, and neuromorphic computing in traditional computers, most of the time and energy are consumed by moving data around and holding the state of the volatileSRAM/DRAM memory.Recent hot topic of in memory computing can provide an opportunity to save orders of magnitude in time and energy by performing as much computation as possible inside the memory itselfand only moving a few instructions and results between the processor and memory. To achieve such new computing paradigm efficiently relies on exploring the computing ability of the novel memory devices (e.g. ReRAM, PCRAM, FeRAM, Spin and Magnetic devices etc.) or improving the circuit structure of the traditional DRAM or SRAM to integrate computing in them. The fabricationand packing technology is also needed to develop to better support the novel circuits or architectures. Thus, this workshop aims to bring together therecently state of the art advances in the field of in memory computing, representing most aspects of building in-memory computing paradigms, including the fundamentals of material and device, the design strategies, fabrication and EDA method in circuit and architecture, and the exploration of promising applications. We encourage prospective authors to submit related distinguished research papers on the subject.
KeywordsIn-memory computing, Memory device and circuit, Nonvolatile storage
Dr. Nuo Xu, National University of Defense Technology
Nuo Xu is an Assistant Researcher in College of computer, National University of Defense Technology (NUDT). Nuo received the B.Sc. degree in Microelectronics from Xidian University in 2012, and the Ph.D. degree in Electronics Science and Technology from NUDT in 2018. From 2015 to 2017, he got the CSC scholarship and did research as a visiting Ph.D student in Materials Science and Engineering, Seoul National University (SNU), mainly concentrated on developing memristor-based in-memory logic primitives. He has undertaken six fundamental research projects including National Natural Science Foundation, Natural Science Foundation of Hunan Province, the Open Project Program of Wuhan National Laboratory for Optoelectronics, a fundamental research project, and two projects from NUDT, and participated in three National key projects. He is an executive member of China Computer Federation Committees on Computer Engineering and Techniques, and Integrated Circuit Design, and provides review works for several domestic and foreign journals such as "Scientific Reports" and "Semiconductor Science and Technology " etc. He has authored or co-authored ~40 papers in peer-reviewed journals or conferences such as AELM, AISY, PSS-RRL, ToDAES etc. His current research interests include emerging non-volatile memory devices and their employments in in-memory computing.
Workshop 7 Green Cellular Network and Green User Equipment
SummaryWith awareness of the harmful effects to the environment change, on-grid brown energy consumption of information and communications technology (ICT) has drawn much attention. Cellular base stations (BSs) are the major energy guzzlers in ICT, contributing to global carbon emissions. For the user side, user equipment is also estimated to be the leading energy consumer in the coming years. To achieve the carbon peak and neutrality goals, it is a radical energy solution to leverage green (renewable) energy to power modern communication systems.
KeywordsGreen Energy, Green Base Station, Green Energy Harvesting, Green User Equipment
Assoc. Prof. Xilong Liu, Yunan University
Xilong Liu received the B.E. degree in telecommunication engineering from Zhengzhou University, Henan, China, in 2011, and the M.S. and Ph.D. degrees in electrical engineering from the New Jersey Institute of Technology, Newark, NJ, USA, in 2013 and 2019, respectively. He is currently an Associate Professor with the School of Information Science and Engineering, Yunnan University, Yunnan, China. His research interests include 5G/6G wireless communications, green communications, drone-assisted networking, device-to-device communications, Internet of Things, and network optimization. He serves as reviewers and chairs of IEEE premium journals and flagship conferences.
Workshop 8 Photothermal Information Reconstruction based on Optimization Algorithm
SummaryThe aim of this workshop is to study the basic topics of photothermal information reconstruction based on optimization algorithm, including but not limited to the following aspects: Radiative transfer and coupled heat transfer, Optical/thermal radiation measurement, Inverse radiative transfer problems, Optimization algorithms. We encourage prospective authors to submit related distinguished research papers on the subject.
Hong Qi, received a Ph.D. degree in engineering thermophysics from Harbin Institute of Technology in 2008. In December 2014, he became a professor at the School of Energy Science and Engineering of HIT. His current research interests include：numerical methods for radiative heat transfer Transient, radiative transfer, inverse radiation problem, applied biotechnology and bioengineering, optical tomography, heat transfer and fluid flow from macro-scale to micro-scale, computational fluid dynamics, analyzing and testing techniques in thermal and fluid science, atmospheric radiation and environmental protection, sustainable energy (especially new energy thermal utilization).He is the author or coauthor of more than 200 peer-review papers published in various international or national academic journals and conferences, including ASME J. of Heat Transfer，Int. J. of Thermal Sciences，International Journal of Heat and Mass Transfer，International Journal of Hydrogen Energy，Optics Express，Inverse Problems in Science and Engineering，Applied Thermal Engineering, etc. He has served as editors or associated editors in international academic journals, including: National Natural Science Foundation of China, and 42 scientific journals including Scientific Reports, Fuel, J. of Heat Transfer, Int. J. of Heat and Mass Transfer, Int. J. of Hydrogen Energy, Numerical Heat Transfer Part A, Applied Thermal Engineering, Int. J. of Thermal Sciences, etc.
Workshop 9 Signal and Image Processing Algorithms in Biomedical Fields, such as Denoising, Segmentation, Classification, and Recognition
Summary The purposes are to investigate the latest progresses in the field of biomedical signal and image processing algorithms, including but not limited to the following topics: denoising, segmentation, classification, and recognition, etc. Algorithms implemented by traditional methods, Machine learning methods or Deep Learning methods(such as CNN,DNN, ANN, GAN) are welcomed.
KeywordsImage Processing, Denoising, segmentation, classification,Signal and Information Processing, Algorithms and Software
Assoc. Prof. Gang He, Southwest University of Science & Technology
He received the B.S. degree in Engineering Mechanics from Sichuan University, Chengdu, China, in 2006. He studied Biomedical Engineering for seven yeas during when he received the M.S. degree in 2009 and received the Ph.D. degree in Professor Guang Fu Yin’s Labotorary of Sichuan University in 2013. He worked as Post doctorate at the Sichuan University for two year in the field of First principle calculations on Titanium materials between 2013 and 2015. He is now working as a associate professor at Southwest University of Science and Technology, Mianyang, Sichuan Province, China now. His research interests include Medical Image Processing, Computational Materials Science and Biomedical Engineering.He published more than 40 SCI/EI/CSCD indexed papers in Surface & Coatings Technology, INOICS, Communications in Statistics - Theory and Methods, IPCCC, JIPS, PCM and other journals/conferences.
Workshop 10 Designing Metaverse using Next Generation Internet of Things
SummaryWe are excited to announce a call for workshop papers on the topic of "IoT in the Metaverse: The Future of Connected Devices and Virtual Experiences." This workshop aims to bring together researchers, academics, industry professionals, and enthusiasts to explore the potential of integrating Internet of Things (IoT) technologies with the ever-expanding metaverse. We invite submissions that address the challenges, opportunities, and innovative applications of IoT devices in creating immersive and interactive experiences within the virtual realm.
Key Topics of Interest We welcome submissions that cover, but are not limited to, the following topics:
1. Enhancing user experiences with IoT devices in the metaverse
2. Creating smart, context-aware environments within the metaverse using IoT technologies
3. IoT applications for health, wellness, and fitness in virtual environments
4. Leveraging IoT for social interaction and community-building in the metaverse
5. Innovative educational and training applications utilizing IoT in the metaverse
6. Security and privacy concerns in IoT-integrated metaverse environments
7. Standardization and interoperability of IoT devices and platforms within the metaverse
8. Case studies of successful IoT-metaverse integrations and deployments
9. Submission Guidelines
Submissions should be original, unpublished work including references and appendices. Papers should be formatted according to the CCPQT 2023's style designated style guide and submitted in proper format through the CCPQT 2023's submission system.
Partha Pratim Ray is working as active academician in the field of Internet of Things (IoT). He has published more than 100 research papers till now. He has filed 7 national patents in India. His books and contributed chapters paved significant of importance in the field of IoT, edge computing, blockchain and pervasive health computing and next generation computing. He has coined term "Pervasive Biomedical Informatics". He is listed as one of the top 2% scientists in the world by the Stanford University ranking. He has strong interest in conducting research in key and cutting-edge technological domain. He is presently serving as the assistant professor in the Sikkim University, India. His google scholar citations is 5272, h-index 30, i10 index 58.
Workshop 11 Recent Advances on Quantum Communication
SummaryThe purposes are to investigate new communication mechanism using quantum superposition and quantum entanglement properties. Recently, the design and optimization of quantum computing models-assisted quantum communication have achieved important advances, which enables systematic engineering of quantum communication protocols. The areas covered may include, but are not limited to, the following: Quantum key distribution; Quantum secret sharing; Quantum signature; Quantum data locking; Quantum security analysis; Quantum random number generation; Quantum Byzantine agreement; Quantum obfuscation; Quantum private communication; Quantum private comparison; Quantum secure direct communication; Multiparty quantum communication network.
Keywords Quantum Communication, Quantum Network, Quantum Communication Simulation
Assoc. Prof. Jinjing Shi, Central South University
Jinjing Shi is now an associate professor in the School of Computer Science and Engineering of Central South University. She received her B.S. and Ph.D. degrees in the School of Information Science and Engineering, Central South University, Changsha, China, in 2008 and 2013, respectively. She was selected in the “Shenghua lieying” talent program of Central South University, Special Foundation for Distinguished Young Scientists of Changsha and Special Foundation for Distinguished Young Scientists of Hunan in 2013, 2019 and 2023, respectively. Her research interests include quantum computation and quantum cryptography. She has presided over the National Natural Science Foundation Project of China and that of Hunan Province. There are 60 academic papers published in important international academic journals and conferences. She has received the second prize of natural science and the outstanding doctoral dissertation of Hunan Province in 2015, and she has received the Best Paper Award in the international academic conference MSPT2011 and Outstanding Paper Award in IEEE ICACT2012. She has served as reviewers in New Journal of Physics, Quantum Information Processing, Journal of Physics A: Mathematical and Theoretical, and International Journal of Theoretical Physics.
Dr. Yanyan Feng, Central South University of Forestry and Technology
Yanyan Feng received the Ph.D. degree in computer science and technology from Central South University, Changsha, China, in 2021. Since September 2021, she has associated with Central South University Forestry and Technology. She is a master supervisor. Her current research interests include quantum communication and quantum computation. She is the author or coauthor of more than 20 the peer-review papers published in many important academic journals, including IEEE Trans. Knowl. Data Eng., Adv. Quantum Technol., Quantum Inf. Process., Chin. Phys.B, et al, in which she has been awarded “top-cited author (first author)” of one of the top 2% most-cited papers of CPB in 2019 and one of the top 2% most-cited papers of Acta Physica Sinica. She has served as a reviewer in New Journal of Physics, Quantum Information Processing, Journal of Physics A: Mathematical and Theoretical, and International Journal of Theoretical Physics.
Dr. Jian Zhou, Central South University of Forestry and Technology
Jian Zhou received the Ph.D. degree in engineering from Central South University, Changsha, China, in 2019. Since September 2020, he was employed in Central South University of Forestry and Technology. His current research interest covers continuous-variable quantum key distribution and quantum computing. He is the author or coauthor of 15 peer-review papers published in various academic journals and conferences, including Physical Review A, Advanced Quantum Technologies, Annalen Der Physik, Journal of physics A, Quantum information processing, Chinese physical B and so on. He has served as reviewer in international academic journals, including: New Journal of Physics; Physical Review A; Quantum information processing; International Journal of Theoretical Physics et al.
Workshop 12 Chaotic System, Circuit and Application in Information Security
SummaryWith the increasing use of technology and the internet, there are many threats to information security, including hacking, malware, phishing, and social engineering. To combat these threats, a variety of security measures have been developed, including firewalls, encryption, access controls, and intrusion detection systems. The chaotic system is known as a natural cryptographic system and is widely used in encryption technology.
The chaotic system is characterized by extreme sensitivity to initial conditions, unpredictability, and aperiodicity. It can be implemented not only through analog circuits, but also through digital circuits such as MCU, DSP, FPGA, etc. A system can generate chaotic signals, and its nonlinearity plays an important role. As the fourth basic circuit component, the nonlinearity of memristor is often used to design new chaotic systems and circuits. Then, the chaotic system is used to generate random numbers that can be used as encryption keys. The unpredictable nature of chaotic system makes it extremely difficult for an attacker to predict the output of a chaotic system. Therefore, chaotic secure communication has also become a hot research field in recent years.
The purposes are to investigate the latest progresses in the field of chaotic system and secure communication, including but not limited to the following topics: chaotic circuit design and modeling, memristive chaotic system, chaos cryptography, image encryption algorithm, chaotic secure communication, the application of artificial intelligence in information security, etc.
Keywords Chaotic system and circuit, Memristor, Information Security, Artificial Intelligence
Prof. Lidan Wang, Southwest University
Prof. Lidan Wang is a doctoral supervisor of the College of Artificial Intelligence, Southwest University, China, and director of Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Control. In 2008, she received her Ph.D. degree in computer software and theory from Chongqing University. She visited Imperial College London in the UK from 2010 to 2011, University of Windsor in Canada in 2013, Nanyang Technological University in Singapore from 2016 to 2017, Texas A&M University in Qatar in 2017, and University of Tasmania in Australia in 2018, respectively. Her research interests include brain-inspired computing & memristor neuromorphic chips, nonlinear systems & chaotic circuits, artificial neural networks & FPGA technology, and various application fields including big data science, image processing, and biomedical engineering. She was awarded numerous grants from the National Key Research and Development Program of China and the National Natural Science Foundation of China. She has published over 100 academic papers indexed by SCI, and more than thirty students have received their master or doctoral degrees under her supervision. In addition, Prof. Wang serves as an Associate Editor for the Artificial Intelligence Review and as a Topic Editor for Electronics. She also serves as Secretary-general of Chongqing Artificial Intelligence Society.
Workshop 13 Advances and Applications in Wireless Communication and Internet of Things Technology
SummaryWith the rapid connection of billions of smart devices in modern telecommunication networks, unprecedented wireless possibilities have emerged, and it is imperative to study different wireless technologies that promote these interconnections. In this case, the research on the wireless communication networks has been started to support ultra-dense users' connectivity, multi-gigabits transmission rate and high information privacy, which can provide a better service platform for communication users.The enabling technologies, such as cell-free massive MIMO, intelligent reflecting surface (IRS), artificial intelligence (AI), resource allocation (RA), and others for wireless communication networks are developedrapidly. Meanwhile, Internet of Things (IoT) has become an emerging paradigm, which can provide services for mobile devices, machines and users with various quality of service (QoS) requirements. Wireless communication networks and IoT technology have provided numerous benefits in various domains, which are considered to have a wide range of applications in industrial and civil fields, such as transparent factories, smart cities, smart agriculture and power grids.
This workshop aims at providing a platform for academic researchers and industry professionals to report and discuss advances in wireless communication networks and IoT technology. We encourage authors to submit relevant outstanding original research and review articles with a focus on addressing wireless signal procesing, system evaluation analysis, resource allocation algorithm, IoT application, and other communication emerging technologies.
Keywords Wireless communication, artificial intelligence, Internet of Things, signal processing, resource allocation, system evaluation analysis
Assoc. Prof. Hongyuan Gao, Harbin Engineering University
Hongyuan Gao, received a Ph.D. degree in Communication and Information System from Harbin Engineering University. He worked as an associate professor at the College of Information and Communication Engineering, Harbin Engineering University.His research interests include wireless communications, intelligent computing, artificial intelligence, signal processing, image processing, Internet of Things, massive MIMO, 6G communication, signal recognition and classification.
He has undertaken more than 20 projects such as the National Natural Science Foundation, Special Grant from the China Postdoctoral Science Foundation, China Postdoctoral Science Foundation, etc. He has participated in more than 20 projects including the National Natural Science Foundation of China and various horizontal and vertical projects. Based on these projects, he published more than 100 papers, more than 150 patents and 2 monographs.
Yanan Du, The No.38 Research Institute of CETC
Yanan Du, worked as a researcher at the No.38 Research Institute of CETC. She is a Ph.D. postgraduate in Information and Communication Engineering from Harbin Engineering University. Her research interests include wireless communications, signal processing, intelligent compution, signal recognition and classification.
She participated in the National Natural Science Foundation, National Key Research and Development Project, etc. Based on these projects, she published more than 20 papers and more than 50 patents. She is Chief Engineer of Target Detection Project of Tracking and Measurement Radar, Chief Engineer of Equipment Project of Tracking and Measurement Radar, Chief Engineer of Intermediate Repair Project of Tracking and Measurement Radar, and Head of Reliability of Vehicle-mounted Target Recognition Radar.
Workshop 14 Intelligent and Lightweight Physical Cross-Layer Security and Privacy in 6G
Summary Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-layer attacks and privacy leakage, due to the large-scale heterogeneous networks with booming time-sensitive applications. Important wireless techniques including mobileedge computing, millimeter-wave, massive multiple-input and multiple-output, visible light communication, wireless sensing, and intelligent reflecting surface can improve the spectrum efficiency and quality-of-service but will raise challenges for the 6G PHY and cross-layer security and privacy protection. Existing optimization based PHY and cross-layer security and privacy protection schemes such as the convex optimization method have to rely on accurate attack patterns and strategies and thus suffer from performance degradation in 6G systems that have shorter communication latency, more devices and higher spectrum efficiency. Therefore, this workshop calls for researches about intelligent and lightweight physical and cross Layer security and privacy protection for 6G networks.
Assoc. Prof. Jie Tang, University of Electronic Science and Technology of China
Jie Tang received the PhD degree from theUESTC, in 2018. He is currently an associate professor with the School of Aeronautics and Astronautics, Universityof Electronic Science and Technology ofChina (UESTC), Chengdu 611731. From 2016-2019, He was also a visiting scholar in GeorgeMason University, Fairfax, USA. His current maininterests lie in wireless communications, wireless security cyber-physical security, physical layer security
Workshop15 Graph Neural Networks for Internet of Things (GNN-IoT)
Summary Graph Neural Networks (GNNs) have shown tremendous potential in addressing complex challenges in the domain of Internet of Things (IoT). GNNs offer a powerful framework for modeling and analyzing interconnected IoT devices and their relationships, enabling efficient decision-making, anomaly detection, and prediction. This workshop aims to explore the intersection of GNNs and IoT, bringing together researchers and practitioners to discuss the latest advancements, applications, and challenges in this emerging field.
The workshop aims to achieve the following objectives:
Foster collaboration and knowledge exchange between researchers and practitioners working on GNNs and IoT.
Explore innovative approaches and techniques that leverage GNNs for IoT applications.
Discuss the challenges and limitations of applying GNNs in the context of IoT.
Identify potential research directions and future opportunities in the field.
We invite submissions of original research papers addressing various aspects of GNNs for IoT. Topics of interest include, but are not limited to:
GNN-based anomaly detection and fault diagnosis in IoT networks.
GNNs for predicting and optimizing IoT device behavior and performance.
Graph representation learning for IoT data analysis.
GNNs for IoT data fusion and sensor data integration.
GNNs for edge intelligence and distributed decision-making in IoT systems.
GNN-based recommendation systems for IoT applications.
Privacy and security challenges in GNN-based IoT systems.
Benchmark datasets and evaluation methodologies for GNN-IoT applications.
Case studies and real-world applications of GNNs in IoT domains.
Keywords GraphNeuralNetworks; Internet of Things
Assoc. Prof. Jielong Yang, Jiangnan University
Jie Yang received his Bachelor's and Master's degrees from Xi'an Jiaotong University in 2012 and 2014, respectively, and later obtained a PhD from Nanyang Technological University in Singapore in 2020. After that, he worked as an Assistant Professor at Jilin University from 2020 to 2022, before joining Jiangnan University as an Associate Professor. His research centers on statistical machine learning, graph neural networks, and reinforcement learning, with a particular focus on their application in sensor networks, microphone array networks, and social networks. Currently, he is leading a National Natural Science Foundation of China project and have participated in several domestic and international research projects, including one at Singapore A*star. As the first or corresponding author, he has published ten papers in top-tier computer science conferences and journals, such as ICML, TKDE, TASLP, TNNLS, TSIPN, IEEE Iot-J., Pattern Recognition, Information Sciences, and ICASSP over the past five years. In addition, he has been a reviewer for several leading computer science conferences, including IJCAI 2021, KDD 2021, AAAI 2022, and several journals such as TKDE, TNNLS, and IEEE Signal Processing Letters.
Workshop16 Underwater Wireless Communication and Sensing Network
Summary More and more attention has been paid to underwater wireless communication(UWC). As the key technology of underwater vehicle and underwater sensing network, it plays an important role in military, environmental detection and disaster prevention. Underwater wireless communication methods mainly include underwater acoustic communication (UAC), underwater radio frequency (RF) communication and underwater wireless optical communication (UWOC). Because the propagation in the underwater environment is very complex, there are serious absorption, scattering effects, turbulence and variability, so there are still many challenges in terms of communication distance, communication rate and reliability. This workshop mainly focuses on underwater wireless communication, including the following topics: UWC channel model, UWC transmitter, UWC receiver, UWC modulation and demodulation, UWC error correction coding, underwater acoustic communication, underwater optical wireless communication; underwater radio frequency communication; underwater photon counting wireless communication, underwater quantum communication, underwater visible light communication, underwater communication and detection integration, underwater acousto-optic integrated communication, underwater wireless communication network. We encourage potential authors to submit relevant outstanding research papers on this topic.
Keywords Underwater wireless communication; channel model; modulation and demodulation; error correction coding; underwater acoustic communication; underwater optical wireless communication; underwater radio frequency communication; underwater quantum communication
Prof. Qiurong Yan, Nanchang University
Qiurong Yan received Ph. D. degree from University of Chinese Academy of Sciences in 2012. He is a professor with school of information engineer, Nanchang University and a winner of Outstanding Young Talents Project in Jiangxi Province. His research interests include underwater wireless optical communication, visible light communication, photon counting wireless communication, single photon imaging, and deep learning. He has published more than 60 SCI and EI papers in important journals and academic conferences at home and abroad, including 5 top journals. As the first inventor, he authorized more than 20 invention patents, including one international invention patent. He participated in the formulation of 1 industry standard, participated in the organization of 5 domestic and foreign academic conferences, and gave more than 10 invited reports. He is a reviewer for high-level international journals such as Applied Physics Reviews, Optics Express, Optics Letters, etc.
Workshop17 Resource Optimization and Intelligence Algorithms for Mobile Edge Network
Mobile Edge Computing (MEC) provides the services and cloud computing capabilities that are closer to users through the wireless access network, accelerating the rapid download of content, services and applications in the network and enabling consumers to enjoy an uninterrupted high-quality network experience. However, MEC development faces the following challenges: how to sense geographically diverse and widely changing environments and then accurately collect massive amounts of valuable heterogeneous IoT data to provide real-time, intelligent and high-level services; and how to meet latency and computation-sensitive task demands with limited bandwidth, storage and computing resources in wireless access mobile networks.
In the era of artificial intelligence, the research related to exploring the use cases of intelligent algorithms to facilitate the utilization and development of mobile edge computing resources should be further deepened. Theoretical studies, experimental studies, and also case studies are highly encouraged. Relevant topics include, but are not limited to: computational task offloading; task mapping and scheduling; edge caching techniques; task offloading; service deployment; wireless communication.
Keywords: Mobile edge network, Edge cache, Service deployment, Task offloading, Artificial intelligence
Prof. Juan Fang, Beijing University of Technology
Fang Juan, professor and doctoral supervisor of Beijing University of Technology, deputy director of the Faculty of Information Technology, director of the Architecture Research Institute, and head of the Internet of Things Engineering major. Her research interests include high-performance computing, heterogeneous intelligent computing, intelligent edge computing, etc.
In recent years, she has presided over more than 40 research projects of the National Natural Science Foundation of China and Beijing Natural Science Foundation of China, and has published more than 80 SCI/ EI papers in important academic journals and international conferences (PR, JPDC, TJSC, JCST, IOT, FITEE, JCSC, INFOCOMM, etc.) at home and abroad.
Workshop18 Digital Twin for Vehicular Edge Computing
Being the enabler of intelligent transportation systems, Internet of Vehicles (IoV) has witnessed a remarkable development. An array of vehicular applications, e.g., enhancing roadsafety, improving traffic efficiency and providing convenientinfotainment services to the users, are emerging. Such applicationsgenerate enormous demands for different networkresource.In order to meet this demands, Vehicular Edge Computing(VEC) is viewed as a promising approach, which contributes to reducing responsetime and alleviating backhual network load by moving thecomputation and storage resources in proximity to vehicularusers. However, due to unique characteristics of vehicular networks, specially the high mobility of nodes and varyingchannel conditions, providing real-timeand efficient task offloading decision is quite challenging. Digital twin is naturally the best technology to solve the issue. Digital twinconstructs a high-fidelity digital twin model of thephysical entity in cyber space, andenables the global optimal offloading solution because of the advantages inaccurately modeling complex systems. This workshop invites academic and industry researchers to work on Digital Twin for Vehicular Edge Computing. This special issue will provide researchers with a platform to showcase the latest cutting-edge research and shed light on future directions in this exciting field. Potential topics include but are not limited to the following:
1.Architecture design for digital twin empowered VEC
2.Digital twin empowered computation offloading
3.Digital twin empowered collaboration and management of multi-dimensional resources
4.Vehicular edge computing empowered digital twin
5.Security and privacy issues for vehicular digital twin
6.Performance analysis for vehicular digital twin
7.Implementation/Testbed/Deployment for digital twin empowered VEC
Keywords: Internet of vehicles, vehicular edge computing, digital twin, computation offloading, network management
Prof. Chen Chen, Xidian University
Chen Chen received the B.Eng., M.Sc. and Ph.D. degrees in telecommunication from Xidian University, Xi'an, China, in 2000, 2006, and 2008, respectively. He is currently a Professor with the Department of telecommunication in Xidian University, and a member of the State Key Laboratory of Integrated Service Networks in Xidian University. He is also the Director of the Xi'an Key Laboratory of Mobile Edge Computing and Security, and the Director of the intelligent transportation research laboratory in Xidian University. He was awarded the leader talent in innovation and research of Shannxi Province, China, in 2022. He was also awarded the high-level talent of Xi’an City, China, in 2020. He was a visiting professor at the department of EECS in the University of Tennessee and the department of CS in the University of California, in 2013 and 2018, respectively. He serves as the General Chair, PC Chair, Workshop Chair or TPC Member of several conferences. He has authored/co-authored 3 books, over 150 scientific papers in international journals and conference proceedings. He has contributed to the development of 5 copyrighted software systems and invented over 100 patents. He is also a distinguished member of China Computer Federation (CCF) , a member of China Institute of Communications (CIC), a member of Chinese Institute of Electronics(CIE), a member of TIAA, a member of Future Forum etc. He is also listed in the World's Top 2% Scientists in 2021.
Prof. Xiumei Fan, Xi'an University of Technology
Xiumei Fan, received the Ph.D. degree in Communication Control from Northern Jiaotong University of China, Postdoctoral research in the Department of Computer Science at Tsinghua University. At present, she works as a professor at the School of Faculty of Automation and Information Engineering, Xi’an University of Technology. Her main research areas are the Internet of Vehicles, the Intelligent traffic, mobile edge computing and so on. As the Principal Investigator, she has completed two projects of the National Natural Science Foundation of China, the National High-Tech Research and Development Plan (863), the Beijing Natural Science Foundation Project etc. And as the main applicant and researcher, she has participated in the completion of 973 Program, the National Natural Science Foundation key projects of China and NSFC Projects of Inter Cooperation and Exchanges. More than 100 academic papers have been published and 9 patents for authorized inventions have been granted.
Assoc. Prof. Lei Liu, Xidian University
Lei Liu received the B.Eng. degree in electronic information engineering from Zhengzhou University, Zhengzhou, China, in 2010, and the M.Sc. and Ph.D degrees in communication and information systems from Xidian University, Xian, China, in 2013 and 2019, respectively. From 2013 to 2015, he was employed by a subsidiary of China Electronics Corporation. From 2018 to 2019, he was supported by China Scholarship Council to be a visiting Ph.D. student with the University of Oslo, Oslo, Norway. He is currently an Associate Professor with the Guangzhou Institute of Technology, Xidian University. His research interests include vehicular ad hoc networks, intelligent transportation, mobile-edge computing, and Internet of Things. He is a recipient of 2018 IEEE SmartIoT Best Paper Award, 2018WPMC Best Student Paper Award, 2020 IEEE Systems Journal Best Paper Award，2019 and 2020 Vehicular Communications Best Paper Awards. He serves/has served as the TPC member for IEEE ICC 2022, IEEE WCNC 2022, HPCC 2021, etc.
Dr. Jie Feng, Xidian University
Jie Feng (Member, IEEE) received the Ph.D. degree in communication and information system from Xidian University, Xi’an, China, in 2020. From 2019 to 2020, she was with Carleton University, Ottawa, ON, Canada, as a Visiting Ph.D. Student. From 2022 to 2023, she was a research fellow at Nanyang Technological University. She is currently a Lecturer with the Department of Electrical Engineering and Computer Science, Xidian University. Her current research interests include mobile-edge computing, blockchain, deep reinforcement learning, device-to-device communication, resource allocation and convex optimization, and stochastic network optimization. She serves/has served as the TCP member for IEEE ICC/GLOBECOM 2023, 2022, 2023, etc.
Workshop19 Advances and Applications in Wireless Communication and Internet of Things Technology
The fast development of contemporary computers, machine learning, and artificial intelligence opened new horizons and possibilities for the accomplishment of the related methods, algorithms, and network technologies. The major part of the development of these technologies takes intelligent wireless communications, internet of things，smart services, and the new applications.
The aim of this workshop is to bring together the research accomplishments provided by researchers from academia and the industry. The other goal is to show the latest research results in the field of Wireless Communication and Internet of Things Technology. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.
Keywords: Advances and Applications in Wireless Communication and Internet of Things Technology
Assoc. Prof. Jin Ren, North China University of Technology
Jin Ren, received the Ph.D. degree in information and communications engineering from the School of Electronic and Information Engineering, Dankook University, South Korea, in 2011. He is currently an Associate Professor with the School of Information Science and Technology, North China University of Technology. His current research interests include intelligent information processing, wireless communication, and the Internet of Things (IoT) technology. He participated in the Ministry of National Education Foundation, Beijing Municipal Education Commission Foundation, Beijing Municipal Organization Department Foundation, Beijing Human Resources and Social Security BureauFoundation, etc. Based on these projects, he published more than 30 papers in SCI/EI journalsand other journals/conferences.
Workshop20 Enabling Edge-AI Native Computing and Communication for Future Generation Mobile Communication Network Slicing
This workshop aims to study the integration of Edge-AI native computing and communication in the context of future generation mobile communication network slicing, while exploring the areas of digital twin, AI for networking, and networking for AI. The objective is to investigate the potential of leveraging edge computing, artificial intelligence (AI), and digital twin technologies to enhance the capabilities of network slicing in mobile communication systems. Prospective authors are encouraged to submit distinguished research papers on topics such as digital twin-based network modeling, AI-driven network optimization (including DRL variants), network slicing strategies, resource management, and 5G & 6G wireless networks.
Keywords: Deep Reinforcement Learning, Edge-AI, Digital twin, AI for networking, Networking for AI, Wireless Communication Networks, Network Slicing, 5G and 6G Wireless Network Technologies.
Assoc. Prof. Guolin Sun, University of Electronic Science and Technology of China
Guolin Sun received his B.S., M.S. and Ph.D. degrees all in Comm. and Info. System from the UESTC, Chengdu, China, in 2000, 2003 and 2005 respectively. After Ph.D. graduation in 2005, Dr. Guolin has got eight years industrial work experiences on wireless research and development for LTE, Wi-Fi, Internet of Things, Cognitive radio, Localization and navigation. Before he joined the UESTC, as an Associate Professor on Aug. 2012, he worked in Huawei Technologies Sweden. Dr. Guolin Sun has filed over 40 patents, and published over 60 scientific conference and journal papers, acts as TPC member of conferences. His general research interests include blockchain network, vehicular networks, resource optimization, and network slicing.
Workshop21 Molecular Sensing and Molecular Information Technology
Inspired by the complex molecular interaction networks, molecular recognition and communication between life systems, the molecular world contains exquisite processes of sensing, information processing, communication and so on. The construction of artificial molecular or nano-systems and their application in sensing and information technology has become one of the new directions in recent years.
The aim of this workshop is to investigate the latest progresses in the field of molecular sensing and molecular information technology for promoting the digitization and intelligentization of the molecular world, including but not limited to the following topics: chemical or biosensing, molecular logic gates, molecular encoding, molecular information hiding and encryption, molecular information storage, etc.
Keywords: Molecular Sensing, Biosensing, Molecular Logic Computing, Molecular Information Processing, Molecular Information Protection, Molecular Information Communication, Molecular Information Coding
Assoc. Prof. Weitao Huang, Hunan Normal University
Dr. Weitao Huang received his Ph.D. degree from Southwest University in 2014. He is currently an associate professor in State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, China. His research interests include molecular sensing and logic computing, molecular information technology, and bionanotechnology.
He published 50 SCI papers as the first or correspondent author in international famous journals, and applied for nine invention patents as the first inventor, authorized two. He was selected as the Training Object of Young Backbone Teachers in Colleges and Universities in Hunan Province, and the Training Plan of Outstanding Youth in Changsha. He is the director of Hunan Microbiology Society and Hunan Optics Society, and the science and technology evaluation expert of Changsha. He has won the Top Ten Youth Science and Technology Award of Hunan Microbiology Society, and Hunan Optical Science and Technology Progress Award. He served as the reviewer of famous international journals, and the editorial board of Progress in Resources and Environmental Science.
Assist. Prof. Jiaoyang Lu, Changsha Medical University
Dr. Jiaoyang Lu received her Ph.D. degree from Hunan Normal University in 2019. She is currently an assistant professor in Changsha Medical University, China. Her research interests include molecular sensing and molecular information technology.
She has published 25 SCI papers in important journals, and obtained five authorized invention patents. She has undertaken over 4 fundamental research projects, including the National Natural Science Foundation of China, the Hunan Provincial Natural Science Foundation Youth Project, the Hunan Provincial Education Department Innovation Platform Open Fund, and Improving the Basic Research Ability of Young and Middle-Aged Teachers in Guangxi Universities. Shehasbeen selected as the Young Scientific and Technological Innovation Talent of Hunan Province, and won the Hunan Optical Science and Technology Progress Award.