Newly-Launched IEEE CIS Resource Center

With the surge of Artificial Intelligence (AI) being successfully applied in almost every application domain, computational intelligent computing techniques are in increasing demand to address the needs of society. For a long time, tremendous computational intelligence techniques were developed and recorded by IEEE CIS. In order to serve understanding and training in these techniques, IEEE CIS volunteers have worked to develop the IEEE CIS Resource Center, which aims to provide well-organized archive of educational videos and other materials for friendly access and searching.

After a year-long effort, we finally have the IEEE CIS Resource Center established. I would like to thank several people who were devoted to this task, particularly, Melissa Handa from IEEE for providing IEEE RC foundation guidance, Annabel Latham for chairing the Resource Center Subcommittee, Alexander Dockhorn for crawling through video statistics from IEEE.tv, and Chun-Rong Huang for quality control (reviewing the videos), and for tagging the them. 

The current version of IEEE CIS Resource Center consists of 237 videos. I would like to encourage IEEE CIS members to try check out our new IEEE CIS Resource Center at resourcecenter.cis.ieee.org.

For any recommendations or suggestions for the IEEE CIS Resource Center, please send them to IEEE CIS VP Education Pau-Choo Chung (Julia) at [email protected] with a copy to IEEE CIS Repository Subcommittee Chair Annabel Latham [email protected] and IEEE CIS Senior Administrator Jo-Ellen Snyder [email protected].

Artificial Intelligence: The What and So-What Explained by Authors and Leadership of IEEE TAI

This video brings together world-class researchers who are either authors or form the leadership behind the IEEE Transactions on Artificial Intelligence (IEEE TAI) journal. Hear from them about what AI is, and the impact it is making to COVID-19, 6G networks, creativity, strategic management, legal and social implications, and love. Hear also about the Computational Intelligence Society and its contributions to AI.

Meet the 2023 IEEE President-Elect Candidates Forum

Friday, 24 June 2022, 6:00-7:30pm PT

The IEEE Board of Directors has authorized a new Pilot Campaign Program that applies to IEEE President-Elect candidates for the 2022 and 2023 elections. As part of this pilot program, a "Meet the 2023 IEEE President-Elect Candidates Forum” will be held on Friday, 24 June 2022 from 6:00 pm to 7:30 pm PT. The event will be livestreamed by IEEE.tv for IEEE members not attending the June Meeting Series and recorded for future viewing. During the Forum, 2022 IEEE President & CEO K. J. Ray Liu will ask the candidates questions submitted by members on issues important to them and IEEE. This is an opportunity to hear from the 2023 IEEE President-Elect candidates and get informed ahead of the 2022 annual election. To register for the livestream event and to receive the link to the event recording, visit meet-the-candidates.ieee.org.

CI & AI-FML Machine Learning Competition @ IEEE WCCI 2022

CI & AI-FML Machine Learning Competition for Human and Smart Machine Co-Learning on Real-World Applications

Organizers:

Chang-Shing Lee, Yusuke Nojima, Giovanni Acampora Marek Reformat, Naoyuki Kubota, Ryosuke Saga, Jose Manuel Soto Hidalgo, and Shen-Chien Chen

Supported by Task Forces on Competitions of IEEE CIS Fuzzy Systems Technical Committee

Posted by Chang-Shing Lee ([email protected])

Competition Website @ IEEE WCCI 2022

https://wcci2022.org/accepted-competitions/
http://oase.nutn.edu.tw/wcci2022-fmlcompetition/overview/

I. Scope and Topics

Computational Intelligence (CI), which includes fuzzy logic (FL), neural network (NN), and evolutionary computation (EC), is an imperative branch of artificial intelligence (AI). As a core technology of AI, it plays a vital role in developing intelligent systems, such as games and game engines, neural-based systems including a variety of deep network models, evolutionary-based optimization methods, and advanced cognitive techniques. The main contents of this competition proposal focused on the CI & AI-FML machine learning for human and smart machine co-learning on AIoT applications or real-world applications to encourage elementary-school students, high-school students, or undergraduate students to join the competition. This competition is supported by 2021 IEEE CIS High School Outreach Subcommittee, Task Forces on Competitions of IEEE CIS Fuzzy Systems Technical Committee, Task Forces on Web Intelligence of IEEE CIS Fuzzy Systems Technical Committee, Task Forces on Fuzzy System Software of IEEE CIS Fuzzy Systems Technical Committee, KWS research center of National University of Tainan, Taiwan, and CcS research center of Tokyo Metropolitan University, Japan.

Submissions must be received before 30 June 2022, 23:59 (GMT).

IEEE CIS Student and Early Career Mentoring Program

The IEEE CIS mentoring program is back in 2022! The program was rated exceptionally high, with around 90% of participants rating the programs Very Useful or Useful and about 9 out of 10 confirming they would recommend participation to a friend. WCCI2022 will offer an expanded IEEE CIS mentoring program compared to 2020, keeping the best parts of the 2020 edition, while adding new activities. It includes: 

• Activity I: One-to-One publication feedback and community point-of-contact
• Activity II: Paper Development Workshop (PDW)  
• Activity III: Networking Event

More details about the program are available here.

Call for Competition on Evolutionary Computation in the Energy Domain: Risk-based Energy Scheduling

Following the success of the previous editions, another challenging edition of the smart grid problems competition in the field of computational intelligence is out there. This edition of the competition proposes one track in Risk-based optimization of aggregators’ day-ahead energy resource management considering uncertainty associated with the high penetration of distributed energy resources. In addition, IEEE CIS is sponsoring the competition offering a prize of $500 for the best-placed team.

Please visit the Smart Grid Problems Competitions page.

Meet a CIS Member

Meet: Oscar Cordón, IEEE CIS AdCom Member-at-Large for term 2021-23

What is your title, and place of work? ( or Technical Field of Research)?

I am Professor at the Dept. of Computer Science and Artificial Intelligence at the University of Granada, Spain. I am also a member of the Data Science and Computational Intelligence (DaSCI) Research Institute where I head the Artificial Intelligence Laboratory for Forensic Anthropology and Human Identification.

How long have you been a member of CIS and what was the reason you chose to join IEEE CIS?

I have been a member of IEEE CIS since 2004. I had been working on fuzzy systems, evolutionary computation, and their hybridization since 1992, and was a member of some European scientific Societies. In 2004, Jerry Mendel, who was chairing the IEEE CIS Fuzzy Systems Technical Committee, contacted me to join the committee and create a Task Force on Genetic Fuzzy Systems. Thus, I joined CIS and started an exciting experience of 17 years so far.

What Computational Intelligence Society committee do you serve?

I have served on many different committees and subcommittees. I have been elected to the CIS ADCOM twice (terms 2010-12 and 2021-23). I have also worked for the Fuzzy Systems Technical Committee for 15 years and for the Emergent Technologies Technical Committee for 11 years. Currently, I am also a member of the Evolutionary Computation Technical Committee. I chaired the Award Soliciting Nominations Sub-committee in 2021 and have been a member of the Awards Committee in 2014-15 and of several sub-committees including Fuzzy Systems Pioneer, Outstanding CI Early Career, CI Institution, Chapter, PhD dissertation, IEEE CIM and IEEE TETCI Paper Awards, among others.

I have also participated in the organization of several IEEE CIS conferences since 2005. Among them, I was the Conference Chair of FUZZ-IEEE 2016 held in Vancouver and I will be the Conference Co-Chair of FUZZ-IEEE 2022 to be held in Padua; and Program/Technical Co-Chair of IEEE CEC 2015, 17, 19, and 21, and of FuzzIEEE 2020.

I currently am or have been Associate Editor of many of the IEEE CIS journals, including IEEE TFS (recognized as Outstanding AE in 2008), IEEE TEVC (recognized as Outstanding AE in 2019), IEEE TETCI (Founding AE), IEEE CIM, and IEEE TAI, as well as for IEEE Access.

What have you learned from your experience and how has it helped you professionally?

In 2004, as a young researcher, I found my IEEE CIS membership a great opportunity to network and learn from highly-experienced members. After seventeen years of continuous service, I am happy to admit I have learned from the selfless service of other IEEE CIS members. We can be proud to have many members who are not only outstanding researchers and professionals, but also pleasant people who are always willing to help. You can get a free master's degree in leadership, project management, and resource and team management just by working with them. What is more, I am so happy to consider many of them as my friends now.

What has been the most fun/rewarding thing about being a volunteer for the IEEE Computational Intelligence Society? What have you enjoyed the most?

From a professional viewpoint, one of the most rewarding activities was the first, the creation of the “Genetic Fuzzy Systems” (later Genetic and Evolutionary Fuzzy Systems Task Force) in 2004 and its chairing until 2007. I think it was a pioneering activity that allowed the establishment and development of the topic within the umbrella of our society. It crystalized with a series of IEEE CIS international symposiums, for which 6 editions were held between 2005 and 2013, two of them linked to the IEEE SSCI (GEFS 2011 and GEFS 2013). Nowadays, several hundreds of GEFS researchers and practitioners can be found all over the world.

From a personal viewpoint, I really enjoyed the different events with the students. In particular, I have a very nice memory of an event that Hisao Ishibuchi organized for the IEEE CEC 2015 in Sendai, “Drinking with Young Researchers,” where 6 senior EC researchers shared a dinner with 8 young researchers.

Tell us something about you that we don't know.

First, I skipped a year of primary school and I started working with Paco Herrera, my PhD advisor, in the summer of the third year of the Computer Science degree, so I publish my first conference paper when I was barely 20 years old. Secondly, I am a football (soccer) lover, I have played for years and I am a big fan of Real Madrid. I had the chance to travel to Lisbon in 2014 with a group of friends from my department (including Jesús Chamorro, current Chair of the Fuzzy Systems Technical Committee) to watch the Champions League final in the Real fan zone and we slept on a boat in Cascais! By the way, I am the first one on the left.

First Ever Volume of Research by Women in Computational Intelligence

Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics (Alice E. Smith, editor), Springer, E-book ISBN 978-3-030-79092-9 and hardbound ISBN 978-3-030-79091-2, 2022.

The first of its kind – showcasing the many diverse research breakthroughs achieved by women-led investigative teams in computational intelligence. It is a part of the series Women in Engineering and Science. The 34 authors of this book are nearly all women and represent thirteen countries in five continents. All chapters are authored by IEEE Women in Computational Intelligence members except the first which is a professional biography of Admiral Grace Hopper by esteemed women and technology author Jill S. Tietjen. The over 400 full-color pages are structured into 19 chapters grouped under four main sections of Intelligence, Learning, Modeling, and Optimization. The primary technical methods include artificial neural networks, evolutionary and swarm computation, and fuzzy logic and systems. The wealth of applications can be seen throughout the nineteen chapters within this volume. These include natural language processing, intelligent tutoring, autonomous systems, digital pathology, intrusion detection, and energy management.

A unique part of this book are the biographies of the authors which include information concerning their beginnings and advancement in computational intelligence research. Many biographies also give advice for those considering this field and its possibilities. As a note, the biographical chapter on a founding luminary of computing, Admiral Grace Murray Hopper, is especially meaningful to me. As a young engineer, I attended a Society of Women Engineers national convention and had the privilege of listening firsthand to Admiral Hopper as she delivered the keynote address. It is said that we stand on giants’ shoulders – certainly, Grace Hopper is one of those giants. It is hoped that future researchers in computational intelligence can remember the chapters within this volume as inspirations for them to choose this exciting field for their lifework.