Title: Lung Cancer Detection by the Analysis of A Biomarker Toluene Based on Multi-task Simpleformer Model
Lung cancer is one of the most threatening malignancies to human health and life. Early detection and treatment can improve the five-year survival rate. As a key biomarker for lung cancer diagnosis, toluene can be used for breath simulation analysis of lung cancer patients, which can complement the existing lung cancer diagnosis methods and improve the diagnosis rate of lung cancer. In this paper, a multi-task simple transformer model is proposed in the electronic nose system to conduct gas-sensing experiments on toluene in low-concentration environments. Encoder blocks are shared and two tasks are performed simultaneously, achieving fast and accurate target recognition and concentration prediction at low concentrations. The accuracy of the model on the target recognition task is 98.52%, which is better than the K-Nearest Neighbors (KNN) (89.06%) and the Support Vector Machine (SVM) (91.17%). The root mean square error on the concentration prediction task is 0.0369ppm, outperforming the Support Vector Regression (SVR) (0.0898ppm) and the Extreme Gradient Boosting (XGBoost) (0.0725ppm). The experimental results show that the MT-Simpleformer has good prediction performance for the identification and concentration of a lung cancer biomarker (toluene) under dynamic, low-concentration conditions. It provides an effective reference method for rapid, economical, and non-invasive lung cancer screening.
Lung Cancer, Electronic Nose, Multi-task, Transformer, Toluene
Chair: Prof. Yatao Yang, Shenzhen University
Yatao Yang received his B.Sc. degree in optical instrumentation engineering from Zhejiang University, China, and Ph.D. degree in fiber optics from Glasgow Caledonia University, U.K.. After B.Sc. he joined Institute of Optics and Electronics, Chinese Academy of Sciences, where he was involved in semiconductor equipment and optoelectronic device development. In 1996, he was with the University of Leeds, U.K., as a research officer involved in areas of optical ﬁber laser materials. In 1997, he joined Resonance Ltd., in Canada, where he was developing spectral gas sensors. In 1998, he joined JDSU Corporation, Canada, where he was developing optical ﬁber devices. In 2000, he joined Chorum Technologies Inc., US, where he was developing optical ﬁber devices. In 2004, he joined JDSU Corporation, US, where he was developing optical ﬁber devices and ﬁber lasers. In 2009, he joined NeoPhotonics Corporation, as VP of R&D, developing optical ﬁber devices. In2014, he founded Shenzhen Dade Laser Technology Co. , Ltd. In 2017, he was appointed as a Distinguished Professor with the College of Information Engineering, Shenzhen University, China. In 2018, he became the Head of the Smart IoT Center, Shenzhen University. His research interests include optical networking, optical sensors, optical data transmission and data processing, optical nanomaterials, optical-wireless communications, and lasers.
Prof. Yatao Yang
Title: New Air Interface Technologies
The development of mobile communication technology is changing rapidly.Meanwhile, the Internet of Things(IoT) and artificial intelligence(AI) are two important technologies that have gradually emerged in recent years, attracting widespread attention worldwide. On the one hand, the importance of mobile communication technology for people is self-evident. On the other hand, the Internet of Things and artificial intelligence have gradually penetrated into various fields such as industry, agriculture, healthcare, and daily life.Therefore, how to organically combine them has become the research goal and development direction of the next generation mobile communication technology. This workshop calls for works demonstratingseveral popular new air interface technologiesin next-generation mobile communication.In particular, this workshop will focus on the follows: (1)New multicarrier modulation technologies, such asOTFS,FBMC, etc. They adopt different methods to effectively overcome the serious ICI problem caused by the destruction of the orthogonality of subcarriers in traditional OFDM in fast time-varying channel scenarios.(2) RIS (also known as IRS). As a new type of auxiliary wireless transmission technology, it has technical characteristics such as passive regulation, easy deployment, and low cost, which can demonstrate better performance than relay.(3) NOMA. Faced with the explosive growth of wireless communication traffic and device access, NOMA can achieve better spectral efficiency and network capacity than traditional OMA schemes.(4) Massive MIMO. It utilizes large-scale antennas to provide spatial freedom, significantly improving the spectral and energy efficiency of the system, thereby better facing the future surge in data services and user numbers.
OTFS, FBMC, RIS, NOMA, Massive MIMO
Chair: Prof. Tianming Ma, Shanghai University of Engineering Science
Tianming Ma works as an associate professor at the Shanghai University of Engineering Science. His main research interests are air interface technologies in B5G/6G communication. He received the Ph.D. degree from Shanghai institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai, China, in 2012. He was a post-doctoral researcher and obtained the first-class general financial grant from the China Postdoctoral Science Foundation in Tsinghua University, Beijing, China from 2012 to 2014.He has presided over the National Natural Science Foundation of China and participated as a major participant in major national science and technology projects. Moreover, he has authored/co-authored over 50 journal/conference papers and authorized 9 Chinese invention patents as the first inventor. He is a senior member of the China Institute of Communications (CIC), a senior member & life member of the Chinese Institute of Electronics (CIE) and a member of the IEEE Communications Society & IEEE Signal Processing Society. He also serves as a reviewer for many international journals, such as IEEE TWC, IEEE TVT, IEEE CNCOMM, IEEE CL, and IEEE SPL.
Prof. Tianming Ma
Shanghai University of Engineering Science
Title: Enhancing Forest Peatland Fire Detection and Groundwater Management Using IoT System
The Workshop on IoT Solutions for Environmental Monitoring aims to bring together researchers, professionals, and enthusiasts in the field of Internet of Things to explore the practical applications of IoT systems in environmental monitoring. This workshop will focus on two critical aspects: the detection and prevention of forest peatland fires and the efficient management of groundwater resources. By leveraging IoT technologies, we can develop innovative solutions to address these environmental challenges and contribute to sustainable ecosystems.This workshop will provide a platform for participants to share their research, experiences, and insights related to IoT-based environmental monitoring. It will encourage collaborative discussions, knowledge exchange, and the exploration of potential solutions to real-world problems. Attendees will have the opportunity to learn from experts in the field, engage in hands-on activities, and develop a deeper understanding of the role IoT plays in environmental conservation.Topics to be covered in the workshop may include:
Introduction to IoT and its relevance in environmental monitoring
Challenges and opportunities in forest peatland fire detection
IoT-enabled sensor networks for early fire detection and alarm systems
Data analytics and machine learning for fire risk assessment in peatland areas
IoT applications for remote monitoring of groundwater levels and quality
Wireless sensor networks for real-time environmental data collection
Integration of IoT systems with cloud platforms for data storage and analysis
Case studies and success stories of IoT implementation in environmental monitoring
We believe that this workshop will foster innovation, collaboration, and the exchange of ideas among researchers, practitioners, and industry professionals. Together, we can explore the transformative power of IoT and work towards creating a more sustainable future.Please name the email title of the submission with “paper title_workshop title”, when sending an email to this workshop.
Internet of Things (IoT); Environmental monitoring; Forest peatland fire; Groundwater management; Sensor networks; Data analytics; Machine learning; Risk assessment; Remote monitoring; Wireless sensor networks; Data storage and analysis; Sustainability.
Chair: Dr. Lu Li, Universiti Putra Malaysia (UPM)
Lu Li is a Chinese citizen born and raised south of the Yangtze River in China. He is currently serving as an executive committee of IEEE Malaysia ComSoc/VTS Joint Chapter. His research interests include wireless and mobile communication, optical sensors, biomedical sensors, channel estimation and propagation technology of mmWave, IoT systems, Industrial application, peatland forests, fire prediction and machine learning. Additionally, he has been invited to serve as a reviewer for many international journals indexed by Scopus. He is also a recipient of some international awards, such as the Selangor State Innovation Award (AINS) in 2022, the Best Dissertation Award awarded by the IEEE Malaysia ComSoc/VTS joint Chapter in 2022, etc. He is also a collaborator for projects under international funding bodies, namely the NICT Japan-ASEAN IVO, Asia Pacific Telecommunity (APT) and SEARCA University Consortium (UC) Seed Fund for Collaborative Research Grant.
Workshop #4: Communication and Security in Smart Grids
Title: Grid Engages Evolving Interconnection Demands
Emerging communication and cyber security technologies are boosting the smart electric power grids in terms of interconnecting a great number of heterogeneous elements to meet ever-growing demands in quality-of-service, reliability and safeguarding capability. Closely related to the grids, these demands are significantly driving extraordinary researches in the fields of communication network designs, IoT interoperability, machine learning for grids, standardization, and the security of cyber-physical systems. The researches envision new opportunities to turn the grid to be more connective and productive.
This workshop targets a wide scope that ranges from theory, design, implementation, evaluation and standard in the fields of communication and security in smart grids.
Topics of interest include (but not limited):
Communication and networking system
5G and beyond for smart grids
Machine learning for promoting informatics in smart grids
Cyber anomaly detection
Security and privacy risk assessment and management
Secure and resilient cyber architecture
Security performance analysis for smart grids
Digital twin for cyber-physical systems
Smart Gird, Communications, Security
Chair: Boyang Zhou (Associate Researcher/Research Expert) Zhejiang Lab
Boyang Zhou is currently a research expert at Intelligent Network Research Institute of Zhejiang Lab, and an adjunct associate professor at School of Intelligent Science and Technology, Hangzhou Institute for Advanced Study, UCAS. He received his doctoral degree in Computer Science from Zhejiang University in 2014. As PI or core members, he has participated in more than 10 national or provincial projects. Recently, he has published more than 30 papersin IEEE TII, IEEE COMMAG, IEEE TPDS, INFOCOM, ICC, GLOBECOM, ISCC, USENIX ONS, issued / applied 30 patents, as well as leaded several standards. He have received IWQoS and CACD best paper awards. He has leaded the development of Industrial Endogenous Security Testbed, and developed the prototype of disruption resilient transport protocol for power grids. He has been TPC members in 30 international conferences. His research interests include Smart Grid Communications, Future Internet, and Network Security.
(Associate Researcher/ Research Expert) Zhejiang Lab
Title: Green Cellular Network and Green User Equipment
With awareness of the harmful effectsto the environment and climate change, on-grid brown energyconsumption of information and communications technology(ICT) has drawn much attention. Cellular base stations (BSs)are among the major energy guzzlers in ICT, and their contributionsto the global carbon emissions increase dramatically. For the user side, user equipment is also estimated to be the leading energy consumer in the coming years, especially with the ongoing worldwide developmentof Internet of Things. To achieve the carbon peak and neutrality goals, it is a radical energy solution to leveragegreen (renewable) energy to power modern communication system.
This workshop is to bring together the latest scientific results on green communications provisioned by academia and the industry. We encourage prospective authors to submit related research papers to contribute our sustainable and environment-friendly society.
Green energy prediction
Green energy usage scheduling
Green energy harvesting
Green cellular network
Green Internet of Things
Green user equipment
Green Energy, Green Communications, Green Base Station, Green Internet of Things, Green User Equipment
Chair: Assoc. Prof. Xilong Liu, Yunnan 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 and networking, drone-assisted networking, device-to-device communications, Internet of Things, and network optimization. He serves as reviewers and TPC members of IEEE premium journals and flagship conferences.
Assoc. Prof. Xilong Liu, Yunnan University
Title: Digital signal processing technology in high-capacity optical fiber communication
Optical fiber communication is fast becoming a key instrument in communication area. In recent years, with the development of an increasingly digital lifestyle, services that have high requirements for data-carrying capacity, such as high-definition videos and virtual reality, grow rapidly. Therefore, data-carrying capacity is a major issue in optical fiber communication. The data-carrying capacity of optical fiber communication system has been expanded by multiplexing techniques that use wavelength, amplitude, phase, and polarization of light to encode information in past three decades. However, it is still difficult to meet the increasing demand for communication. In order to break through the capacity bottleneck of single-mode fiber, there is an urgent need to develop high capacity optical fiber communication and its key technology.
Chair: Dr. Sitong Zhou, Beijing Institute of Technology
Sitong Zhou, received a Ph.D. degree majored in Electronic Science and Technology from Beijing University of Posts and Telecommunications in 2021. After graduation, She entered the postdoctoral workstation of the Beijing Institute of Technology.
Her research interests focus on high capacity optical fiber communication and digital signal processing combined with machine learning. Based on her researches, she published more than 20 papers in Optics Letters, Optics Express and other journals/conferences.
Dr. Sitong Zhou,
Beijing Institute of Technology
Title: Robust, Advanced and Smart UAV Communications and Networks
UAVs are envisioned as a promising technology for ensuring data connection and improving communications efficiency. However, considering the fast-moving speed, dynamic topology and limited resources of UAV network, the quality of communications remains instability. This workshop seeks original unpublished papers focusing on novel architectures and emerging technologies for constituting the robust, advanced and smart UAV communications and networks. Topics of interest for this workshop include but are not limited to:
Network Architecture for UAV communications
Transmission protocols for UAV communication and networks
Cooperative spectrum management and resource allocation for UAV communication and network
Interference management technique for UAV communication and network
Intelligent association for massive UAV clusters
Integrated Sensing, Computation and Communication for UAV network
Security and reliability for UAV communications and network
UAVCommunication and Network, resource allocation, network association
Chair: Assoc. Prof. Simeng Feng, Nanjing University of Aeronautics and Astronautics
Simeng Feng, associate researcher and master supervisor of School of Electronic and Information Engineering in Nanjing University of Aeronautics and Astronautics, member of IEEE, senior member of China Communication Society, awarded "Doctor of Entrepreneurship and Innovation" of Jiangsu Province, "Changkong Scholar" of NUAA. She received PhD degree from the University of Southampton whose research interests include wireless optical communication, visible light communication network, UAV cluster network, intelligent information network, etc. She has published international high-level journals in the field of wireless communications, such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, etc. She also served as the long-term reviewer of IEEE, OSA and other international authoritative journals. Furthermore, she is the principal investigator of National Natural Science Foundation projects and participated in the research of several national and ministerial projects.
Assoc. Prof. Simeng Feng, Nanjing University of Aeronautics and Astronautics
Title: Resource Allocation For Sensor System
The current smart city contains many sensor device, such as the sensors for data collection. Each device has its own resource requirements. We are interesting to better performance, lower costs and lessened environmental impact. Thus, some higher efficiency resource allocation techniques are necessary for mono-static/multi-static sensor systems.
The aim of this workshop is to bring together the research accomplishments provided by researchers from academia and the industry. We encourage prospective authors to submit related distinguished research papers on the subject of the following topics (but not limited to):
Sensorsdeploymentfor targets detection and tracking.
Task planning for multi-function sensor/sensor network.
Sensor resource allocation for target tracking.
Phase unwrapping and its application.
Frequency sharing for multi-function sensor/sensor network.
Radar based target detection and recognition technology
Spectral efficiency of reconfigurable intelligent surface aided sensor
Millimeter wave radar intelligence perception and imaging
Resource allocation, Sensors deployment, Task planning, Target detection and recognition, Phase unwrapping
Chair: Prof. Tianxian Zhang, University of Electronic Science and Technology of China
Tianxian Zhang, received the B.S. and Ph.D. from University of Electronic Science and Technology of China (UESTC) in 2009 and 2015, respectively. He is currently a professor with the School of Information and Communication Engineering, UESTC. His main research interests include radar signal processing, multi-function waveform design, multi-objective optimization. He has published more than 30 scientific articles in refereed journals, such as IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems, etc.
Prof. Tianxian Zhang,
Chair: Assoc. Prof. Xiaoping Li, University of Electronic Science and Technology of China
Xiaoping Li, received his master and Ph.D. degrees in communication and information engineeringfrom Xi’an JiaotongUniversity. He worked as an associated professor at the School of Mathematical Sciences, University of Electronic Science and Technology of China. His research interests include signal processing, coding theory. He participated in the National Natural Science Foundation and Chinese National Programs for High Technology Research and Development, etc. He published more than 20 papers.
Assoc. Prof. Xiaoping Li,
Chair: Assistant Research Fellow Xueting Li, Sichuan University
Xueting Li received the B.S. and Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2013 and 2020, respectively. She is currently an assistant research fellow with Sichuan University. Her research interests include signal detection, multi-sensor resource management, and multi-function integrated system resource optimization.
Assistant Research Fellow Xueting Li, Sichuan University
Title: Air-Sea Cross-Domain Communication
The sixth generation mobile communication system (6G), the integrated network of heaven and earth, and the maritime joint operation network all require the establishment of an integrated network across multiple dimensions such as airspace, airspace, region, and sea area to connect node units above and below the sea surface, achieving seamless coverage of information in all time and all areas. Air-sea cross-domain communication technology, as an important foundational support foundation, is an important link in achieving this vision. Due to the different characteristics of two media, air and seawater, as well as the impact of harsh environments, information transmission across media communication channels encounters significant bottlenecks. At present, air-sea cross-domain communication technology mainly adopts cross medium link level direct communication (such as acoustic communication, optical communication, magnetic communication, millimeter wave, etc.), cross medium relay communication, cross medium communication networking, and other methods. This workshop invites the following original papers related to the theme of "air-sea cross-domain communication", including innovative ideas, concepts, new discoveries, new methods, new improvements, and new applications.
Cross medium relay communication, Cross medium optical communication, Cross medium magnetic communication, Cross medium communication networking, Other air-sea cross-domain communication methods
Chair: Prof. Zhigang Shang, Harbin Engineering University
Zhigang Shang, Ph.D. in Engineering, Professor at Harbin Engineering University, and JKW Youth Support Talent. The main research directions are air sea cross domain communication, cross domain fusion, and cross domain unmanned cluster. In recent five years, he has presided over or participated in more than 10 projects such as the National Natural Science Foundation of China, the State Key Laboratory Fund, XX Major Project, XX Joint Fund, etc. Published over 40 academic papers, including more than 20 included in SCI/EI; 32 national invention patents; Published 7 books. He served as reviewer of nearly ten academic journals, such as IEEE, Signal Processing, and Acoustics Journal, chairman of the branch of the Global Intelligent Control and Automation Conference, member of the EITCE 2020 Organizing Committee, member of the Youth Working Committee of the Institute of Accusations, and one of the leaders of the underwater acoustic engineering for the development of electronic information engineering technology (Blue Book) of the Chinese Academy of Engineering.
Prof. Zhigang Shang, Harbin Engineering University
Chair: Dr. Jiaxuan Xie, Tsinghua University
2007-2021: Bachelor of Network Engineering of PLA Institute of Electronic Engineering
2012-2013: Master of Communication Engineering, School of Electronic Engineering, Naval University of Engineering
2019-present: PhD of the Department of Electronics at Tsinghua University
Dr. Jiaxuan Xie, Tsinghua University
Chair: Assoc. Prof. Lu Wang, Harbin Engineering University
Lu Wang, Ph. D in Engineering, is an associate professor at Harbin Engineering University. She received the Ph.D. degree from Keio University if Japan. She has worked as a research assistant and assistant professor at Osaka University and Keio University in Japan, respectively. Her research interests include radar image interpretation, radar signal processing and etc. Dr. Wang has published over 46 papers in international SCI/EI journals and conferences. In 2019, she received the Science Research Award from Japan Electronic, information and Communication Society. She has led or participated 9 projects such as national-level projects of Japan, key laboratory fund of Japan, A3 Foresight Program of the National Natural Science Foundation of China and etc. She served as a Chair of the MSN 2020 Workshop, the Cup Competition Chair in ChineseCSCW2023, an editorial board member of AJRS, and has served as a program committee member (TPC) for conferences such as IEEE ICC 2021, 2020, WCNC 2021, and Globecom 2020, 2019. She has also served as a reviewer for journals such as IEEE TNSE, IEEE TVT, and IEEE WCL.
Assoc. Prof. Lu Wang, Harbin Engineering University
Title: Unveiling the Potential of IoT-Based Intelligent Systems: From Idea to Execution
Summary: The rapid evolution of the Internet of Things (IoT) has completely revolutionized our interaction with technology and the world. IoT has led to remarkable transformations across various sectors, from intelligent homes and connected vehicles to industrial automation, agriculture, and healthcare systems. To design and implement an IoT system, it is vital to recognize and grasp the fundamental building blocks of intelligent systems that optimize the utilization of IoT technologies. This workshop aims to provide participants with a comprehensive understanding of IoT-based intelligent system architecture and its practical implementation using ESP32-based IoT development boards, Edge devices and Cloud computing. Our presented intelligent system illustrates the key components utilized in an IoT-based intelligent system to detect anomalies in various sensor readings linked to a machine, enabling early prediction of component failures.
Keywords: IoT, Intelligent Systems, Anomalies, Cloud Computing
Chair: Assoc. Prof. Muhammad Raisuddin Ahmed, Military Technological College
Dr. Muhammad Raisuddin Ahmed is a Senior Lecturer at the Military Technology College in Muscat, Oman, affiliated with the University of Portsmouth's Oman campus. With a rich academic and research background, Dr. Ahmed has held positions as a Teaching Fellow at the University of Canberra and a research officer at the Australian National University in Australia. He has an impressive educational profile, having completed a Ph.D. at the University of Canberra, a Master of Engineering Studies in Telecommunication and a Master of Engineering Management from the University of Technology, Sydney, Australia and a Bachelor of Engineering (Hons) in Electronics Majoring in Telecommunications from Multimedia University in Malaysia. Dr. Ahmed has authored numerous papers in the fields of Wireless Sensor Networks, Internet of Things, Machine Learning and Artificial Intelligence, Distributed Wireless Communication, and Antenna. His research contributions have been published in high-impact journals and conferences, reflecting his dedication to advancing knowledge and innovation in these domains.
Asssoc. Prof. Muhammad Raisuddin Ahmed, Military Technological College
Title: Resources management of IoV based on Different machine learning algorithms
The Internet of Vehicles (IoV) is a network that connects vehicles, infrastructure, and other entities to improve transportation efficiency, safety, and convenience. Resource management in IoV involves efficiently allocating and managing various resources such as network bandwidth, computational power, and energy consumption. Machine learning algorithms can be utilized to optimize and automate resource management in IoV.
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 Resources management of IoV. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.
Keywords: Vehicular Network, resource allocation and management, Reinforcement learning, Intelligent traffic system
Chair: 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 ofFaculty 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.
Prof. Xiumei Fan
Xi'an University of Technology
Title: Construction of big data platform in animal husbandry and analysis of Internet of Things application technology
With the arrival of the intelligent era, all kinds of intelligent concepts have been proposed and applied in various fields. The application of the relatively advanced big data platform construction and the Internet of Things technology has a great significance in promoting the development of Chinese animal husbandry in an intelligent and scientific direction. This paper analyzes the big data platform construction of animal husbandry and the application technology of the Internet of Things, aiming to provide several valuable references for relevant people.
Keywords: Animal husbandry; Big data; Internet of Things; Artificial intelligence
Chair: Dr. Tiantian Zhang, Zhejiang University
Dr. Tiantian Zhang works as Assistant research fellow at the Ocean College, Zhejiang University;
He is also work with the Zigong Innovation Center, Zhejiang University.
Visiting scholar at Ajou University, South Korea;
Visiting scholar at Seoul National University of Science and Technology, South Korea;
Shaoxing City "Hometown of Famous scholars" talent plan innovation talents;
Deputy Secretary-General of Korea International Friendly Cultural Exchange Association;
Deputy chief editorof Research on Internet of Things Communication Technology, China Overseas Chinese Press.
His main research interests are Artificial Intelligent Internet of Things (AIoT) and Mobile Internet of Things (MIoT), Intelligent agriculture, blockchain and Cloud computing. Moreover, he has published 2 SCI papers , 2 National first-class journal of Engineering, 5 Software works , 2 invention patents, 4 applications patents.
Dr. Tiantian Zhang, Zhejiang University
Title: Edge IntelligenceBased Cloud-Edge Integrated networksfor Internet of Things
With the rapid development of wireless technologies, wireless networks need to provide user equipments and Internet of Things (IoT) terminals with wide-area intelligent connectivity at anytime and anywhere. Mobile edge networkswill face great challenges in theiroperating. Driven by the rapid development of emerging technologies, it has become the development trend of future communication networks to buildanedge intelligenceBased Cloud-Edge Integrated networks (CEIN) that integrates cloud computing and edge computing to achieve unified and efficient resource scheduling, network management as well as network control. Due to high latency requirements in task processing and content acquiring, and the inherent characteristics such as low battery supplies of users and IoT devices, edge intelligence can be deployed to CEIN, contributing to providing high-speed computing power.This workshop will focus on the follows (1) In-network intelligent learning, and distributed control for cloud and edge IoT terminals management; (2) Multi-agent reinforcement learning for decision-making of task offloading and resource management; (3) Advanced AI algorithms for network optimization and control.
Keywords: Reinforcement learning, IoT, resource management, edge and cloud computing
Chair: Assoc. Prof. Peng Lin, Nanjing University of Information Science and Technology
Peng Lin received the Ph.D degrees in communication and information systems from Northeastern University, Shenyang, China in 2021. From 2019 to 2020, he visited the University of British Columbia, Vancouver, Canada and Carleton University, Ottawa, Canada as a visiting scholar. He was introduced to Nanjing University of information science and technology as a Longshan Scholar in 2021. He has published international journals and conferences including IEEE WCM, TWC, TII, TVT, IoTJ, ICCC, etc.He served as the reviewers for many IEEE journals and conferences. His research interests include edge computing, wireless network resource management, digital / network twinning, the application of artificial intelligence algorithms in communication networks and so on.
Assoc. Prof. Peng Lin
Nanjing University of Information Science and Technology