The Education Society would like to offer half-price Society membership to new Society members (both student and regular) on IEEE Day.
The discount will be effective on October 5th and the fees will be:
This Summit is held on the week of IEEE Day (annual celebration).
It is free to all: (https://healthcaresummit.ieee.org/)
You can read and choose any datasets you want to work on.
If you have worked on BHI and AI methods and strategies to combat COVID19, OR if you are working on those technologies to prepare for future pandemic, you can submit poster abstract to IEEE Healthcare Summit: https://healthcaresummit.ieee.org/poster-submission/.
In honor of IEEE Day ComSoc is offering a 15% discount on the registration fee for the ComSoc Training course, Cloud-Native 5G: Architecture, Enablers, and Roadmap, that is taking place on 21 October 2021. To receive the discount, use promo code IEEEDAYCLOUD during the checkout process or click here to add this course to your shopping cart with the discount applied.
Enjoy a 20% discount on new IEEE Communications Society (ComSoc) membership in honor of IEEE Day! In celebration of IEEE Day, IEEE members who join the Communications Society (ComSoc) before 21 October 2021 enjoy a 20% discount on new ComSoc membership, through December 2022. To receive this discount, enter promo code IEEEDAY21COM during the checkout process, or add ComSoc membership to your shopping cart with the discount applied.
Guidelines for Preparing a Strong IEEE SIGHT Group Petition
Interested in starting a new IEEE SIGHT group?
If your petition is accepted, your Group will join the many SIGHT Groups around the globe that are partnering with underserved communities and local organizations to leverage technology for sustainable development. To start a new Group, you will need to submit a SIGHT Group Petition Form. This webinar, hosted by the IEEE SIGHT Operations Subcommittee, will cover the overall characteristics of a strong petition, new changes to the petition form, and tips for writing an ideal response. Time will be provided for questions and answers with the presenters. Register for the session today; even if you aren’t able to attend, all registrants will receive a link to the recording once available.
Date and Time: Friday, October 1, 2021 8:30 am Eastern Daylight Time (New York, GMT-04:00)
Navigate the Phases of Team Development with Speed and Agility for Happier and More Productive Teams
Want happier and more productive teams?
Among other things, it takes great leadership. And proven strategies can provide a real edge. Enter Bruce Tuckman’s phases of team development — a model that’s stood the test of time because it remains highly relevant and beneficial. If you are a leader (or aspire to be one), a member of a team (or may be in one in the future), or are just looking to develop your skills, this talk (based on Bruce Tuckman’s model, but with a fresh angle: 0% theory, 100% real-world-based) will give you a practical framework with actionable tips for working in and leading teams successfully.
New and renewing IEEE students and graduate students can now save 50% on their membership dues. Students wishing to take advantage of the 50% discount can do so by using the promotion code FUTURE50 during the online check-out process for joining or renewing their IEEE membership. Students who recently renewed or joined at full price can reach out to the IEEE Contact Center at: contactcenter@ieee.org and request a credit on future membership dues.
This year, IEEE Educational Activities is offering 10 select courses for US$10 each. Simply use the code ILNIEEEDAY21 at checkout by 31 October 2021.
Courses include:
Webinar on the Interpretation of Deep Neural Networks in a Post-Pandemic World: Challenges and Opportunities
5 October 2021 at 01.00 AM (EDT) or 10.30 AM. (India time Zone) or 16.00 AM. (Melbourne time Zone)
Short bio of the speaker: Prof Saman Halgamuge received the B.Sc. Engineering degree in Electronics and Telecommunication from the University of Moratuwa, Sri Lanka, and the Dipl.-Ing and Ph.D. degrees in data engineering from the Technical University of Darmstadt, Germany. He is currently a Professor of the Department of Mechanical Engineering of the School of Electrical Mechanical and Infrastructure Engineering, The University of Melbourne, Australia. He is also an honorary professor of Australian National University. He is a Fellow of IEEE, a distinguished Lecturer of IEEE Computational Intelligence Society and listed as a top 2% most cited researcher for AI and Image Processing in the Stanford database. His research interests are in AI, machine learning including deep learning, optimization, big data analytics and their applications in biomedicine and engineering.
Short abstract of the presentation: Digital Twin Computing involves not only creating a digital parallel for real world but also facilitating the interaction between other digital twins as well the real world. A digital-physical hybrid society, perhaps reminding the already well known concept of “hardware in the loop” could digitally replicate and mutate copies of digital entities that are copied of real entities. By doing so it can lead to the design of mutated digital twins that do not exist in the real world. Interestingly this can be used from studying viruses in medicine to modelling electricity infrastructure in engineering. This speech refers to three main developments in Deep Learning, which is a major direction of the 21st century AI emphasizing their relevance to broader set of applications and in particular to digital twin computing.
