Dr. Hongyang Chen, IEEE Senior Member, IEEE Distinguished Lecturer. He is currently a Principal Investigator/Senior Research Scientist with the Zhejiang Laboratory, China. He has published 90 referred journal and conference papers in ACM Trans. on Sensor Networks, IEEE Trans. on Signal Processing, IEEE Trans. on Wireless Communications, IEICE Trans. on Fundamentals, IEEE MILCOM, IEEE GlOBECOM, IEEE ICC and more. Dr. Chen served as the Editor for European Transactions on Telecommunications (ETT), the editor for IEEE Trans. on Wireless Communications, and the associate editor for IEEE Communications Letters. He is serving as an associate editor for IEEE IoT journal, a leading editor of IEEE JSTSP special issue on tensor decomposition.

Title: Intelligent IoT and Its Applications
Abstract: I Internet of Things (IoT) is an important component of the upcoming 5G/B5G and further future generations of wireless networks. Smart meters, smart rooms, mobile bicycle sharing, and proprietary versions of some wireless technologies have been proposed to use IoT for this purpose. 3GPP has been working on M2M, NB-IoT, MTC as part of R15-R17 work (along with eMBB and other use cases). In this talk, I will introduce a framework to satisfy requirements of IoT. Then, I will present our research results on IoT and related data mining. Some of the related techniques have been studied and standardized will be introduced as well, including the IoT use-cases and their requirements.

Wanyang Dai is a Distinguished Professor in Nanjing University, Chief Scientist in Su Xia Control Technology. He is the current President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum (Industrial 6.0 Forum), President of Jiangsu Probability & Statistical Society, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee. He received his Ph.D. in mathematics and systems & industrial engineering from Georgia Institute of Technology in USA. He was a MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He was the Chief Scientist in DepthsData Digital Economic Research Institute. He published numerous influential papers in big name journals including Quantum Information Processing, Operations Research, Operational Research, Queueing Systems, Computers & Mathematics with Applications, Communications in Mathematical Sciences, and Journal of Computational and Applied Mathematics. He received various academic awards and has presented over 50 keynote/plenary speeches in IEEE/ACM, big data and cloud computing, quantum computing and communication technology, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from artificial intelligence, machine learning, data science, wireless communication, pure mathematics & statistics to their applications.

Title: Metaverse supported IoT & ChatGPT via blockchained federated learning
Abstract: We present a blockchained federated learning decision-making system with convolution neural nets and machine learning, which can be applied to Metaverse supported IoT & ChatGPT service systems, 6G/6G+ wireless communications, etc. The design and analysis of an optimal policy computing algorithm for smart contracts within the blockchain supported with cloud computing will be the focus. Inside the system, each order associated with a demand may simultaneously require multiple service items from different suppliers and the corresponding arrival rate may depend on blockchain history data represented by a long-range dependent stochastic process. The optimality of the computed dynamic policy on maximizing the expected infinite-horizon discounted profit is proved concerning both demand and supply rate controls with dynamic pricing and sequential packaging scheduling in an integrated fashion. Our policy is a pathwise oriented one and can be easily implemented online. The effectiveness of our optimal policy is supported by simulation comparisons.

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab . A Certified Professional with 100+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 150+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 8700+, H-Index: 50 and I-Index: 170 . Member of more than 60+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 50+ Books of Computer Science . Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 4 German Patents, 2 Japanese Patents, 16 Indian Design cum Utility Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 40 Awards for Teaching and Research —Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers , Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022 and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 31) . He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), Tech Science Press- CSSE, IASC, IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC, IJSIR. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)” . He has reviewed more than 2500+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

Title: LoRaWAN Technology: Next Generation Wireless Communication Networks
Abstract: Everyone is excited about the Internet of Things (IoT) and the possibilities of really seeing the democratization of the internet, devices for everyone needs, not just a few! If we are to achieve, then these devices must be design and built by everyone, we must create a Zine like industry, beyond the current makers of today, to enable people of all ages, gender(including non-binary), and race, to build devices suited to their own needs. LoRaWAN is a Low Power Wide Area Network (LPWAN) specification intended for wireless battery operated Things in regional, national or global networks. LoRaWAN target key requirements of Internet of Things such as secure bi-directional communication, mobility and localization services. In this talk, I will introduce LoRaWAN as a key radio technology for IoT and walk through why it is a technologically important development. Soon, everything on Earth will be connected via peer-to-peer networking and/or the public Internet, with a multitude of sensor-driven devices dramatically changing our lives and our environment. These devices will be based on a wide variety of devices, ranging from tiny (e.g., microcontrollers) to huge (e.g., cloud servers), with one thing in common: they will require a radio connection to a Gateway that is connected to the internet, in some form or another. While Bluetooth LE or even Wi-fi might be used around the "smart" house or within a limited range, the battery limitations of the later and the range limitations of the former mean it is unlikely that these standards will form the backbone of a IoT network. For IoT there are a number of competing radio standards, e.g. LoRa and SigFox, both are long range and provide the ability to build nodes that are very low-power, with a potential battery life of 2 or more years, while providing along range, often in access of 10km. A key feature of these standards is they are low-bandwidth, often each message is limited to 100 or so bytes, for SigFox even less. Each standard has its drawbacks but SigFox requires more expensive chipsets for the Gateway side of things, which is not the case for LoRa, and as such this has seen the development of community, crowd sourced, LoRa networks, based on LoRaWAN. One example of this is The Things Network, who community has been developing Gateways, nodes, cloud backends, and software to run on these, all open source, supporting open data and open science. In this lecture I will introduce LoRaWAN from a technical perspective, providing examples, and also look at the IoT and LoRaWAN networks from a political perspective.

Prof. Emeritus Yael Nemirovsky is an IEEE life Fellow and is a tenured member of the Faculty of Electrical Engineering at Technion – Israel Institute of Technology. Nemirovsky had been involved in II-VI compounds and devices for IRFPAs (infra Red Focal Plane Arrays). Nemirovsky is a pioneer of Micro-Electro-Mechanical Systems (MEMS) research in Israel and in the last two decades her research has focused on Micro-Opto-Electro-Mechanical (MOEMS) Systems. Her current main focus is on CMOS-SOI-MEMS imagers and system-on-chip approach. She has published over 190 papers in refereed journals, co-presented over 200 talks in conferences and filed for several patents (over 26). Nemirovsky is the recipient of an Israeli national award: “The Award for the Security of Israel” and Technion awards for “Best Teacher” and “Novel Applied Research”. She also received the Kidron Foundation award for “Innovative Applied Research”, Intel award and the USA R&D 100 2001 award recognizing the top 100 new inventions and products of the year in USA. In addition, she is the recipient of the 2008 and the 2012 IBM faculty award. In 2001 she co-founded BlueBird Optical MEMS, has been the CEO during her sabbatical and for 3 years the Chief Scientist of BlueBird. She has served for 3 years (2012-2015) as the head of the department of Electrical Engineering in Kinneret (lake of Galilee) academic college. She is co-founder of TODOS Technologies Inc. – a company established by Technion to commercialize Technion IP and is currently TODOS Chief Scientist and serves on the board of directors.

Title: New Ethylene Sensing Systems for Reducing Food Waste
Abstract: Coming so on...