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IEEE CIS Newsletter, Issue 97, February 2021
 
 
 
 
 
 
Announcements
 
 
 
 

Centenary of the Birth of Lotfi A. Zadeh

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Lotfi A. Zadeh was born on 4 February 1921. He was the founder of fuzzy set theory, one of the three pillars of computational intelligence with neural networks and evolutionary computation. He was very open-minded and he introduced what he called soft computing, based on the synergy between fuzzy systems, neural networks, genetic algorithms and other methods to deal with uncertainty, a concept very close to computational intelligence. He was very active in conferences of the IEEE Computational Intelligence Society. 

We celebrate his centenary with videos, photos and written testimonials. Have a look at the Lotfi Zadeh Centenary Celebration page which was created for this occasion. If you knew Lotfi Zadeh, you can write a short testimonial and/or upload a photo with him on the Collabratec website.   

 
 
 
 
Research Frontier
 
 
 
 

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research

green background with electronic network to silhouettesThe evolutionary algorithm (EA) is a nature-inspired population-based search method that works on Darwinian principles of natural selection. Due to its strong search capability and simplicity of implementation, EA has been successfully applied to solve many complex optimization problems, which cannot be easily solved by traditional exact mathematical approaches, such as linear programming, quadratic programming, and convex optimization. Despite its great success, it is worth noting that traditional EA solvers start the search from scratch by assuming zero prior knowledge about the task at hand. However, as problems seldom exist in isolation, solving one problem may yield useful information for solving other related problems. There has been growing interest in conducting research on evolutionary transfer optimization (ETO) in recent years: a paradigm that integrates EA solvers with knowledge learning and transfer across related domains to achieve better optimization efficiency and performance. This paper provides an overview of existing works of ETO based on the type of problems being solved by these methods, which are ETO for Optimization in Uncertain Environment, ETO for Multitask Optimization, ETO for Complex Optimization, ETO for Multi/Many-Objective Optimization, and ETO for Machine Learning Applications. The paper also highlights some of the challenges faced in this emerging research field of computational intelligence and discusses some promising future research directions in ETO. It is hoped that the study presented in this paper can help to inspire the development of more advanced ETO methods and applications. Read More

IEEE Computational Intelligence Magazine, Feb. 2021

 
 
 
 

A Comprehensive Survey on Graph Neural Networks


neurla networks Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding. The data in these tasks are typically represented in the Euclidean space. However, there is an increasing number of applications, where data are generated from non-Euclidean domains and are represented as graphs with complex relationships and interdependency between objects. The complexity of graph data has imposed significant challenges on the existing machine learning algorithms. Recently, many studies on extending deep learning approaches for graph data have emerged. In this article, we provide a comprehensive overview of graph neural networks (GNNs) in data mining and machine learning fields. We propose a new taxonomy to divide the state-of-the-art GNNs into four categories, namely, recurrent GNNs, convolutional GNNs, graph autoencoders, and spatial–temporal GNNs. We further discuss the applications of GNNs across various domains and summarize the open-source codes, benchmark data sets, and model evaluation of GNNs. Finally, we propose potential research directions in this rapidly-growing field. Read More


IEEE Transactions on Neural Networks and Learning Systems, Jan. 2021

 
 
 
 

Extended Interaction With a BCI Video Game Changes Resting-State Brain Activity


man at a workstation with neon lights in the backgroundVideo games are a widespread leisure activity and essential for a substantial field of research. In several kinds of research, video games show positive effects on cognition. Video games’ ability to change the brain in a way that improves cognition is already evident in the research world. The underlying brain dynamics assessed by coherence (Coh) and partial-directed coherence (PDC) can shed light on the effect of video game playing. Here, resting-state brain dynamics have been analyzed before and after four weeks of video game playing. Fifteen participants took part in this article, which ran for one consecutive month. Participants played a gem-swapping game with a brain–computer interface (BCI) paradigm for five days per week for approximately 90 min for four continuous weeks. Significant ( p < 0.05 ) changes in information flow and connectivity measures for Coh and PDC were found in the fronto-central, fronto-parietal, and centro-parietal networks due to extended interaction with BCI. The results suggest that BCI is a potential facilitator of such resting-state network changes and may help to develop new strategies for improving cognition, but we also cannot deny the possible effects of such an effort on the disruption of a player’s sense of engagement and increased mental fatigue. Read More


IEEE Transactions on Cognitive and Developmental Systems, Dec. 2020

 
 
 
 

SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data


star shaped network of lights with blue background Topological data analysis is a new theoretical trend using topological techniques to mine data. This approach helps determine topological data structures. It focuses on investigating the global shape of data rather than on local information of high-dimensional data. The Mapper algorithm is considered as a sound representative approach in this area. It is used to cluster and identify concise and meaningful global topological data structures that are out of reach for many other clustering methods. In this article, we propose a new method called the Shape Fuzzy C -Means (SFCM) algorithm, which is constructed based on the Fuzzy C -Means algorithm with particular features of the Mapper algorithm. The SFCM algorithm can not only exhibit the same clustering ability as the Fuzzy C -Means but also reveal some relationships through visualizing the global shape of data supplied by the Mapper. We present a formal proof and include experiments to confirm our claims. The performance of the enhanced algorithm is demonstrated through a comparative analysis involving the original algorithm, Mapper, and the other fuzzy set based improved algorithm, F-Mapper, for synthetic and real-world data. The comparison is conducted with respect to output visualization in the topological sense and clustering stability. Read More


IEEE Transactions on Fuzzy Systems, Jan. 2021

 
 
 
 
Member Activities
 
 
 
 

Live Webinar

Intelligent Biomedical Image Analysis

Date: Thursday, 11 February 2021
Time: 9:30 PM - 10:30 PM EST

Abstract:

Medical imaging inherently entails imperfection and is, therefore, an appropriate domain for involving computational intelligence. We introduce the concepts of quantitative imaging and radiomics, followed by a discussion on segmentation by clustering. Next we describe an automated and fast detection algorithm for brain tumor in MRI, and its efficient segmentation. Visual saliency is utilized for a fast localization and detection of the tumor. Use of just a single user-provided seed for an efficient delineation of the GBM tumor is also elaborated. The role of neuro-fuzzy feature selection in brain tumor detection and its classification is also detailed. Finally a discussion on Radiogenomics, and Personalized Medicine concludes the talk.
 
 
 

Featured Speaker

 
sushmita mitra

Sushmita Mitra
Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata

 
 
 
 
 

Live Webinar

How to Publish in IEEE Transactions on Fuzzy System

Date: Thursday, 4 March 2021
Time: 9:00 AM - 10:00 AM EST

Abstract:

Would you like to know the secret of publishing in the IEEE Transactions on Fuzzy System?


We will have the Editor-in-chief and some of our associate editors telling you all about that secret.

During this webinar, we will explore these topics:


  • Do and Don't in journal publication (Prof. Derek Anderson)
  • How to select a suitable journal? (Professor Marley Vellasco)
  • What is the duty of AE? What do reviewers look for in the paper? (Professor Dongrui Wu)
  • What authors should do from the EIC point of view? (Professor Jonathan Garibaldi)
 
 
 

Featured Speakers

 

Professor Derek Anderson
Electrical Engineering and Computer Science Department at the University of Missouri, USA

Professor Jonathan Garibaldi
School of Computer Science, Faculty of Science at the University of Nottingham, UK

Professor Marley Vellasco
Applied Computational Intelligence and Robotics Lab at the Pontifícia Universidade Católica do Rio de Janeiro, Brazil

Professor Dongrui Wu
School of Artificial Intelligence and Automation at the Huazhong University of Science and Technology, China
 
 
 
 
 

Women in Computational Intelligence Activities at IEEE ARGENCON 2020

IEEE ARGENCON is a biennial event of Argentina section. The congress ran from the 1 – 4 December 2020 and featured 20 tracks, 332 submissions, about 250 papers accepted (full and short papers), 97 lecturers, and more than 2000 attendants from 29 countries. IEEE Women in Computational Intelligence participated in three activities. The first one is a Lecture of Prof. Keeley Crockett, on Wednesday 2 December. The topic was entitled Adapted psychological Profiling using Computational Intelligence.

The second activity was a Lecture by Dr. Daniela López De Luise on Friday, December 4th entitled Cognitive Problems, AI & STEAM which was sponsored by the Scientific Society Argentina and local IEEE Games Technical Committee.

WCI also performed a Workshop – “Teaching and learning with STEM/STEAM”, coordinated by Gilda Romero in collaboration with Daniela López De Luise, that took place on Friday, on 4 December.

This activity was also technically sponsored by Scientific Society Argentina. A final report has been published as DOI: 10.13140/RG.2.2.16659.91685 (English version)

 
 
 
 

IEEE Women in Computational Intelligence Subcommittee

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IEEE Women in Computational Intelligence Subcommittee held a Virtual Event at IEEE SSCI 2020 on Friday 4 December 2020. The Event entitled “Inspirational Women” A virtual meeting for Women in Computational Intelligence Community held also as part of Canberra AI week.

Prof. Hussein Abbass General Chair of IEEE SSCI gave a very emotional and powerful speech to open the event, followed by a passionate introduction to the IEEE CIS Society by Prof. Bernadette Bouchon-Meunier. Ms Kate Yaxley – gave an overview of Women in AI (Canberra Artificial Intelligence Week) and followed this with her talk entitled “A girl, some sheep, and Sky Shepherd”, where she shared her life and career journey. Dr Heba El-Fiqi, who is a Senior Research Fellow at UNSW Canberra shared her inspirational story - “My Journey: overcoming my barriers". Prof. Kathryn Kasmarik - UNSW Canberra talked about her exciting state of the art research in “Curious Robots" and Prof. Marde Helbig, from Griffith University, Queensland gave great career advice on how to "Optimizing your goals". Finally, Prof. Keeley Crockett talked about the importance of mentoring not just in research but in career development.

Three live polls were conducted during the event and feedback from these polls indicated strongly that they enjoyed the event and also strongly agreed that it provided a forum for promoting women researchers in the field of computational intelligence.

 
 
 
 
Educational Activities
 
 
 
 

Welcome from the Vice President for Education

julia.pngThe IEEE Computational Intelligence Society (CIS) highly values and promotes education: this is investing in our future! In this area, CIS has several educational activities and aims for enriching education resources.

To promote knowledge dissemination in computational intelligence, multimedia tutorials are being developed and provided, as well as courses and summer schools are being supported. To help graduate student research and exchange especially at the international level summer research grants are provided.

Pau-Choo (Julia) Chung
Vice President for Education (2021 - 2022)


 
 
 
 

2021 Graduate Student Research Grants: Call for Applications

The IEEE Computational Intelligence Society (CIS) funds scholarships for deserving undergraduate, graduate and PhD students who need financial support to carry out their research during an academic break period. The primary intent of these scholarships is to cover the expenses related to a visit to another university, institute or research agency for collaboration with an identified researcher in the field of interest of the applicant. Funds can be used to cover travel expenses as well as certain living expenses (such as housing). The field of interest of applicants is open but should be connected with an identifiable component of the CIS (neural networks, fuzzy systems, or evolutionary computation). The call for the next round of applications will be announced soon and will have a deadline for submission of 15 Mar 2021.

More information on the scheme can be found on the CIS Graduate Student Research Grants webpage

 
 
 
 

Call for 2021 Summer Schools Proposals

You are encouraged to submit a proposal to hold a CIS summer school in Computational Intelligence from April to December 2021. If the proposal is approved, and upon request, CIS will provide a financial contribution to support the initiative. The amount of financial support from CIS depends on the available budget, the number of financed proposals and the soundness of the school budget. We recall that organizers can take advantage of other initiatives, e.g., the CIS Distinguished Lecturer Program to further support the school (related regulations apply). We encourage proposals to collocate summer schools with our CIS conferences.

A template for the proposals and more details can be found at the Summer School Subcommittee website. Please use the following link to submit your proposal via the online form and also send your materials to the Summer Schools Subcommittee Chair, Assoc Prof. Yuanheng Zhu, at yuanheng.zhu@ia.ac.cn, by 1 April 2021 (late submissions may also be considered, but subject to the availability of the budget balance). 

 
 
 
 
Technical Activites
 
 
 
 

Open Optimization Competition 2021

A joint effort of the Nevergrad team @Facebook and the IOHprofiler team @LIP6, Sorbonne University and @LIACS, Leiden University.

Submission Deadline:

Submissions must be made before 30 September 2021. The dashboard might still move after this deadline, as some experiments might still be running. The organizers also reserve the right to perform additional evaluations in case of ties or generalizability questions.

An intermediate hall of fame, with winners at that point, will be published:

  • At CEC 2021, 28 June -1 July, for contributions received before 31 May At GECCO 2021, 10 July for contributions received before 31 June
  • On the web pages of Nevergrad and IOHprofiler: 1 November 2021, for contributions received before 30 September 

Please visit the Open Optimization Competition 2021 page for more information.

Organizers

Organizers of the competition are the Nevergrad and the IOHprofiler teams. Main contact persons are:

  • Olivier Teytaud, Facebook Artificial Intelligence Research, Paris, France
  • Jeremy Rapin, Facebook Artificial Intelligence Research, Paris, France
  • Carola Doerr, CNRS researcher at LIP6, Sorbonne University, Paris, France
  • Thomas Bäck, LIACS, Leiden University, The Netherlands
 
 
 
 

IEEE Task Force and Benchmarking Network

If you are interested in staying informed about these and similar events sign up for the newsletters from the IEEE CIS Task Force on Benchmarking at the Benchingmarking Network Google Forum

 
 
 
 

Open Calls for Competition Submissions in IEEE CEC 2021

Competitions have become an integral part of many IEEE conferences. We would like to promote the competitions of CEC 2021, which feature many interesting topics around evolutionary computation. This year, the following competitions are hosted at CEC 2021:

If you are interested to participate in one of the competitions, please visit the Accepted Competitions page for further information on each of the competitions and their submission process.

 
 
 
 
Journal Special Issues
 
 
 
 
 
 
 
 
CIS Conferences
 
 
 
 
Due to the outbreak of the COVID-19 pandemic, dates and details of CIS sponsored conferences should be monitored closely.

The situation is changing very quickly. Please consult the conference web pages frequently to obtain the latest information.

You can find the most recent announcements and updates from all of our Society’s conferences and events at https://cis.ieee.org/volunteer-resources/covid-19-notice as our organizers make decisions.
 
 

* Denotes a CIS-Sponsored Conference

∆ Denotes a CIS Technical Co-Sponsored Conference

 

Summary from Past Conferences:

The * 2020 IEEE Conference on Data Science and Advanced Analytics (DSAA’2020, dsaa2020.dsaa.co) have been successfully held online on 6 – 9 Oct. 2020 in Sydney, Australia. The conference attracted 250 virtual participants from 33 countries and regions, including representatives from Africa and 90 attendees from Australian academia, industry and government. The conference featured four distinguished keynote speeches by leading academic and industrial data scientists, four special sessions on emerging topics, four tutorials, and a journal track on AI and data science for FinTech. In addition to Research and Application papers at the main tracks, DSAA’2020 also accommodated selected student posters and industry posters. The presentation videos of speeches and papers are available at the conference website. DSAA’2020 was fully financially sponsored by CIS and received technical partnership with ACM, ASA and CCF as well as local support by Macquarie University, Monash University, University of Technology Sydney, Business Events Sydney, and the NSW Government Office of Chief Scientist and Engineer.

Future Conferences:


∆ 2021 12th International Conference on Agents and Artificial Intelligence (ICAART)

4-6 February 2021

Place: Vienna, Austria

General Co-Chairs: Ana Paula Rocha and Luc Steels

Website: http://www.icaart.org

 

∆ 2021 10th International Conference on Pattern Recognition Applications and Methods (ICPRAM)

4-6 February 2021

Place: Vienna, Austria

General Co-Chairs: Maria De Marsico and Gabriella Sanniti di Baja

Website: http://www.icpram.org

 

∆ 2021 International Conference on Machine Vision and Augmented Intelligence (MAI 2021)

11-14 February 2021

Place: IIITDM Jabalpur, India

General Co-Chairs: Phalguni Gupta, V. M. Gadre, Prabhat Munshi

Website: https://www.mvai.in

 

* 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2021)

18-20 June 2021

Place: Virtual

General Co-Chairs: Yong Hu, Guanglin Li, Angelo Genovese 

Website: https://civemsa2021.ieee-ims.org/

Full paper submission deadline: 28 Feb 2021

 

* 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)

28 June - 1 July 2021

Place: Kraków, Poland

General Co-Chairs: Jacek Mańdziuk and Hussein Abbass

Website: https://cec2021.mini.pw.edu.pl

Full paper submission deadline extended to 21 February 2021 (anywhere on Earth)


 

* 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)

11-14 July 2021

Place: Luxembourg, Luxembourg

General Co-Chairs: Christian Wagner and Holger Voos

Website: https://attend.ieee.org/fuzzieee-2021/

Full paper submission deadline: 10 Feb 2021


* 2021 IEEE International Conference on Development and Learning (ICDL)

23-26 August 2021

Place: Beijing, China

General Co-Chairs: Dingsheng Luo and Angelo Cangelosi

Website: https://icdl-2021.org

Full paper submission deadline: 15 Feb 2021


* 2021 IEEE Conference on Games (IEEE CoG 2021)

17-20 August 2021

Place: Copenhagen, Denmark

General Co-Chairs: Miguel Sicart & Paolo Burelli

Website: https://ieee-cog.org/2021/index.html

Full paper submission deadline: 9 April 2021


 

∆ 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2021)

25-27 August 2021

Place: Hyderabad, India

General Chair: Atul Negi, Naresh Mallenahalli, Akira Hirose

Website: http://ietcint.com

 Paper submission deadline: 08 Feb 2021


∆ 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA CECNSM 2021)

24-26 September 2021

Place: Preveza, Greece

General Co-Chairs: Markos G. Tsipouras, Alexandros T. Tzallas, Michael F. Dossis 


* 2021 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2021)

6-9 October 2021

Place: Porto, Portugal

General Co-Chairs: João Gama & Francisco Herrera

Website: https://dsaa2021.dcc.fc.up.pt/


* 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

13-15 October 2021

Place: Melbourne, Australia

General Chairs: Madhu Chetty

 

* 2021 IEEE Smart World Conference (IEEE SWC 2021)

18-21 October 2021

Place: Atlanta, USA

General Co-Chairs: Yi Pan, Rajshekhar Sunderraman, Yanqing Zhang

Website: https://grid.cs.gsu.edu/~smartworld2021/index.php

 

∆ 2021 International Conference on Process Mining (ICPM 2021)

31 October - 4 November 2021

Place: Campus of Eindhoven University of Technology, The Netherland

General Co-Chairs: Boudewijn van Dongen 

 

* 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)

2-5 November 2021

Place: Temuco, Chile

General Co-Chairs: Millaray Curilem and Doris Saez

Website: http://la-cci.org/

  

* 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021)

5-8 December 2021

Place: Orlando, FL, USA

General Co-Chairs: Sanaz Mostaghim and Keeley Crockett

Website: https://attend.ieee.org/ssci-2021/

 

* 2022 IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr 2022)

4-5 May 2022

Place: Helsinki, Finland

General Co-Chairs: Michael Kampouridis and Peter Sarlin

 

 

* 2022 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022)

25-27 May 2022

Place: Lanarca, Cyprus

General Chairs: George Papadopoulos

 

 

∆ 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022)

11-15 July 2022

Place: Milan, Italy

General Chair: Davide Ciucci 

 

* 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022)

18-23 July 2022

Place: Padua, Italy

General Co-Chairs: Marco Gori and Alessandro Sperduti

Website: https://wcci2022.org

 

* 2022 IEEE Conference on Games (IEEE CoG 2022)

21-24 August 2022

Place: Beijing, China

General Co-Chairs: Dongbin Zhao and Simon M. Lucas 

 

* 2022 IEEE International Conference on Development and Learning (ICDL)

12-15 September 2022

Place: London, United Kingdom

General Co-Chairs: Lorenzo Jamone and Yukie Nagai

Website: https://icdl-2021.org

 

* 2022 IEEE Smart World Conference (IEEE SWC 2022)

16-18 December 2022

Place: Haikou, China

General Chair: Laurence T. Yang 


* 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022)

4-7 December 2022

Place: Singapore

General Chair: Ah-Hwee Tan & Dipti Srinivasan 

 

* 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2023)

13-17 August 2023

Place: Incheon, Korea

General Co-Chairs: Frank Chung-Hoon Rhee and Byung-Jae Choi 

 

* 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023)

6-8 December 2023

Place: Mexico City, Mexico

General Chair: Wen Yu

 
 
 
CIS sponsors and co-sponsors a number of conferences across the globe. 
 
 
 
 
 
 
Editor Bing Xue
Victoria University of Wellington, New Zealand
Email: Bing.Xue@ecs.vuw.ac.nz

 
 
 
 
 
 
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