IEEE New Zealand North Section

IEEE

Vehicular Technology Society

The IEEE Vehicular Technology Society (VTS) is an IEEE society with technical activities concentrated around three pillars: Wireless Communications, Automotive Electronics and Motor Vehicles, and Land Transportation. VTS was first established in 1949 as the Professional Group on Vehicular Communications (PGVC) of the Institute of Radio Engineers (IRE). When the IRE and AIEE merged in 1963 to become the IEEE,  the PGVC then became the Vehicular Technology Society (VTS).

The VTS Distinguished Lecturer (DL) program is one of the largest in IEEE, with approximately 50 world-class speakers available to provide lectures to VTS chapters around the world. The VTS DL program is available to VTS local chapters. VTS also regularly releases educational video modules for our members. Please refer to https://vtsociety.org/ for more information on VTS.

The purpose of the IEEE VTS New Zealand North Chapter is to foster the fast growing interests in Autonomous Vehicles, UAVs, Vehicular Communications, Networks, Management, and Security in New Zealand North region.

The Chapter will organize technical activities, possibly in collaboration with other IEEE chapters and organizations, in the form of workshops, seminars, distinguished lecturer tours, and demonstrations. These interactive events will facilitate connection and collaboration among VTS members and beyond.  

If you are interested in joining the IEEE VTS New Zealand North Chapter, please contact us through the Chapter’s general email ieeevtsnznc2018@gmail.com.

Unite Against COVID19- Resource/Information Sharing

(i) The AI for Good Webinar Series 1, 2 and 3 (recorded) by ITU:https://aiforgood.itu.int/webinar/

– Episode 1 – COVID-19 Case Study: The use of ICT & AI to flatten the curve in the Republic of Korea

– Episode 2 – COVID-19: Using mobile phones & AI for contact tracing while respecting privacy

– Episode 3 – COVID-19: China’s digital health strategies against the global pandemic

– Episode 4 – COVID-19: Misinformation, Disinformation and What to Do About It

– Episode 5 – COVID-19: Where are the self-driving cars and trucks?

(ii) CFP – Intelligent and Converged Networks – Series on Data Driven Intelligence, Sustainability and Systems – the 1st issue due on May 1 2020

Introduction of the new journal:

Intelligent and Converged Networks is an international journal co-published by the International Telecommunication Union (ITU) and Tsinghua University Press (TUP). It focuses on information and communications technologies (ICT) and reflects the trends in ICT areas and the needs of ITU as well. Considering ITU is the first international organization under United Nations (UN) to pay close attention to and advocates the artificial intelligence applications in the related areas, and that is the reason this journal is named as Intelligent and Converged Networks.

Accepted papers will be published in IEEE Digital Library (IEEE Xplore) as open access. No page charges will be requested for publications. No page limitations are set for paper submissions and publications.

Introduction of the new series:

Networks and/or systems are expected to grow exponentially in the next decades. Networks may include but not limited to communications networks, computing networks, social networks, vehicular networks, industrial networks, economical networks, and business networks, which may increase the complexities of relevant designs, deployments, and managements. The recent advances in artificial intelligence (AI) and data science technologies have provided promising approaches to deal with complex problems faced in the designs, analyses, and applications of network and/or systems. The trend towards highly integrated and/or systems with diverse underlying access technologies to support simultaneous multiple vertical industries has also demanded complex operations and supports. These introduces great challenges in the relevant designs, analyses, and applications.

Another global concerns are green and sustainability issues, which are correlated to information and communications technologies (ICTs). On one side, information and communications technologies (ICTs) have high demands in reducing energy and material resources with sustainable ways. On the other hand, ICT may support the general green and sustainable objectives of the world, increasing quality of life for ever more people without compromising future generations to meet their needs. 

This series, entitled “Data Driven Intelligence, Sustainability and Systems”, may deal with AI and data driven technologies, green and sustainability issues, and convergences for networks and/or systems. Paper submission link: https://mc03.manuscriptcentral.com/icnjournal

COVID-19 related research and technologies free to access in IEEE Xplore

IEEE realizes that many are directly or indirectly engaged in the fight against COVID-19 and its effects on global health and safety, research, infrastructure, communications, and more. IEEE has identified articles from the IEEE Xplore digital library that may help researchers understand and manage different aspects of the COVID-19 pandemic and technologies that can be leveraged to combat it.

All content in this collection is now free to access, with additional rights for all types of reuse, including full text and data mining, and analysis.

 

2020 Activities

Activity name: Online panel discussion on the subject of Working from Home

Date: 13 May 2020

A short description

It is our great pleasure to invite Mr. Peter Over (as Vice-Chair) and Professor Tek Tjing Lie (as Treasurer and Secretary) of IEEE New Zealand North Section to offer us their experiences and tips on working from home (WFH) during this challenging period of COVID-19 pandemic. The webinar had covered the topics such as: behaviour changes, communicating and collaborating, keeping focus and looking after yourself (e.g., physical and mental health) etc. 

Activity name: Webinar on Blockchain Meet Deep Learning

Date: 22 May 2020

A short description

It is a webinar on Blockchain Meet Deep Learning, presented by Professor Yifei Wei, Beijing University of Posts and Telecommunications, Beijing, China. The event link with details is here: https://events.vtools.ieee.org/m/231257

Activity name: Webinar On Beamforming and Bumblebees: Connecting Vehicles Together

Date: 06 July 2020

A short description: it is a webinar on Beamforming and Bumblebees: Connecting Vehicles Together, presented by Professor Alexander M. Wyglinski Worcester Polytechnic Institute, Worcester, USA. The event link with details is here: https://events.vtools.ieee.org/m/234508

Activity name: IEEE VTS Distinguish Lecture – Edge Intelligence for Internet of Things

Date: 13 July 2020

A short description: it is a webinar on Edge intelligence for Internet of Things, presented by Professor Yan ZhangUniversity of Oslo, Norway. The event link with details is here: https://events.vtools.ieee.org/m/234919

Activity name: Webinar on The State of Art, Challenges and Opportunities for the Deeply Integrated Visible Light Communications System

Date: 01 September, 2020

A short description: it is a webinar on Visible Light Communications System, presented by Professor Jian Song of Tsinghua University, China. The event link with details is here: https://events.vtools.ieee.org/m/237536

Activity name: Webinar on Mathematical Modelling of Milk Powder Properties during Shipment through Elevated Temperatures and Humidifies

Date: 16 September 2020

A short description: a webinar on Mathematical Modelling of Milk Powder Properties during Shipment through Elevated Temperatures and Humidifies, presented by Dr Luke Fullard of School of Fundamental Sciences Massey University, Palmerston North, New Zealand. The event link with details is here: https://events.vtools.ieee.org/m/238425

Activity name: IEEE VTS Distinguish Speaker (DS) on Teaching and Research in Information and Communication Network Security

Date: 09 October, 2020

A short description: IEEE VTS Distinguish Speaker (DS) on Teaching and Research in Information and Communication Network Security, presented by Professor Yi Qian of Department of Electrical and Computer Engineering University of Nebraska-Lincoln, Nebraska, USA. The event link with details is here: https://events.vtools.ieee.org/m/240260

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