IEEE VTS Chapter talk by Prof. Yue Gao, VTS Distinguished Lecturer and Professor and the Chair of Wireless Communications at the University of Surrey, United Kingdom.   This talk will present a new approach to design GHz bandwidth sensing (GBSense) systems to overcome Nyquist-rate sampling's bottleneck by developing sub-Nyquist sampling algorithms repurposing the existing expertise of intelligent antennas and reconfigurable transmission lines.   The registration link is https://events.vtools.ieee.org/m/269721 For further information contact Enn Vinnal ([email protected])

By Professor Okyay Kaynak, FIEEE, IEEE Distinguished Lecturer UNESCO Chair on Mechatronics, Bogazici University, Turkey Meeting Link: https://deakin.zoom.us/j/86356005392?pwd=ZnBNWENlelRrQVFMV1FFUG5QbGttUT09 Meeting ID: 863 5600 5392 Password: 42856716 Find your local number: https://deakin.zoom.us/u/knsbQRbvW Join by SIP [email protected] Join by Skype for Business https://deakin.zoom.us/skype/86356005392 Chair - IEEE SMC Victorian Chapter: Professor Saeid Nahavandi, FIEEE, FATSE Abstract: This presentation discusses the profound technological changes that have taken place around us during the last two decades, supported by the new disruptive advances both on the software and the hardware sides, as well as the cross-fertilization of concepts and the amalgamation of information, communication and control technology driven approaches. In recent years, in an attempt to change the whole format of industrial automation, these developments have been taken further, especially in Germany, under the label “Industry 4.0”. The dominant feature of Industry 4.0 is the integration of the virtual world with the physical world through the Internet of Things (IoT). Such engineered systems are named Cyber Physical Systems built from, and depends upon, the seamless integration of computational algorithms and physical components. A more comprehensive description of what is happening around us is the digital transformation. After reviewing these profound changes, the presentation is concluded with a discussion of the integration of AI in digital transformation in various forms and a preview of Industry 5.0. Biography: Okyay Kaynak received the B.Sc. degree with first class honors and Ph.D. degrees in electronic and electrical engineering from the University of Birmingham, UK, in 1969 and 1972 respectively. From 1972 to 1979, he held various positions within the industry. In 1979, he joined the Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, where he is currently a Professor Emeritus, holding the UNESCO Chair on Mechatronics. He is also a 1000 People Plan Professor at University of Science & Technology Beijing, China. He has hold long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, U.S., Singapore and China. His current research interests are in the broad field of intelligent systems. He has authored three books, edited five and authored or co-authored more than 450 papers that have appeared in various journals and conference proceedings. Dr. Kaynak has served as the Editor in Chief of IEEE Trans. on Industrial Informatics and IEEE/ASME Trans. on Mechatronics as well as Co-Editor in Chief of IEEE Trans. on Industrial Electronics. Additionally, he is on the Editorial or Advisory Boards of a number of scholarly journals. He received the Chinese Government’s Friendship Award and Humboldt Research Prize (both in 2016). Most recently, in 2020, he was awarded the Academy Prize of Turkish Academy of Sciences.  

IEEE Monthly Technical Talk on Data Analytics and Internet of Things (IOT) Despite a preponderance of research on the Internet of Medical Things (IoMT), few applications move from pilot projects to commercially sustainable systems. Further, those that do are characterised by long lead times and huge investments. A review of several systems reveals that successful translation from pilot systems to commercial deployments depends on a confluence of innovative technologies, sound business models and effective clinical designs. Unfortunately, this confluence is relatively rare.  A framework is proposed that enables the technical, business and clinical case for digital health technology to be assessed so that deployment designs can be iteratively modified to ensure successful confluence. Case studies in remote patient monitoring and telemedicine illustrate that the three canvases can effectively guide digital health designs.  Dr Venki Balasubramanian is a senior lecturer at Federation University, and Founder of Anidra Tech Ventures Pty Ltd. Balasubramanian is a pioneer in remote monitoring application with a PhD in Body Area Wireless Sensor Network (BAWSN) from the University of Technology Sydney in 2011. He was also awarded the Erasmus Mundus scholarship (NordSecMob – Program in Security and Mobile Computing, Aalto University, Finland for the academic year 2011 -2012). He founded Anidra Tech Ventures Pty Ltd to commercialise their research on remote patient monitoring conducted over several years. The technology processes blood pressure, heart rate, ECG, breath rate, and body temperature data from patients’ sensors to detect deterioration. The company has completed clinical trials in major hospitals and the Defence Research and Development Organisation, India (DRDO) as the client. Rsgistration: https://events.vtools.ieee.org/m/275398

Zoom Link:  https://deakin.zoom.us/j/81684191734?pwd=UjNRNVNBaG9jZjdEQUl2NG1JMGtWdz09 Contact: IEEE PES Victorian chapter– [email protected] Speaker: Professor Junwei Lu, Griffith University, Australia) The Harmonic Balance Method (HBM) is mainly used for studying nonlinear system oscillations in aeronautical and mechanical engineering. The main advantages of this approximate analysis method are that it can be computationally very efficient and that it often gives accurate results along with useful insights into system behaviour. In electrical engineering, HBM has not been widely used and the very limited application was the Microwave circuit in 1980’s. The HBM has been successfully adopted to analyse nonlinear electromagnetic field and design electrical machines by Prof. Yamada Sotoshi and Prof. Junwei Lu in Japan in the late 1980’s, and to solve harmonics problem caused by DC-biased transformer in HVDC power system with Prof. Lu and his former PhD student (Prof. Xiaojun Zhao) in later 2000’s. However, such accurate HBM has not been effectively used to analyse and calculate harmonics caused by half-cycle saturation of the DC-biased transformer during GDM/GIC events and non-linear inductive loads and power electronics in distributed energy system. The study of these harmonics problems is normally focused on the electrical circuit level, the harmonic problem in the component and structure level (or electromagnetic fields) and power system level has not been fully investigated due to a lack of understanding of the characteristics of non-linear electromagnetic fields, and a lack of theory and methodology dealing with harmonics generated from non-linear electromagnetic fields and power electronics. In this seminar, the HBM for modelling and analysis of DC-biased power transformers including nonlinear magnetic field and Microgrid and distributed energy system (DES) will be introduced. The HBM can calculate all forms of harmonics generated from nonlinear inductive loads, saturated transformers and power electronics; therefore it can provide accurate prediction of harmonic distribution in electric power and renewable energy systems. This seminar intends to provide a detailed concept of HBM and its application in calculating the harmonics caused by non-linear inductive loads, half-cycle saturation of the DC-biased power transformers in HVDC power system and HV power system during GDM/GIC events, and power electronic devices in electric power and renewable energy systems. Registration: https://www.eventbrite.com.au/e/harmonic-analysis-in-power-systems-using-harmonic-balance-method-tickets-161194999583