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IEEE CIS Newsletter, Issue 109, February 2022 (1/2)
wcci 2022 cf industry.JPG IEEE WCCI 2022 Industry Day Call for Presentations and Panels 

Important Dates 
Proposal Submission Deadline: 31 March 2022
Proposal Acceptance Notification: 26 April 2022
Slides Submission (for presentations only): 23 May 2022
Industry Day: 20 July 2022

The Industry Day is meant to provide companies interested in Computational Intelligence
applications (either as solution providers or as adopters) with:

• Speakers: branding of their own products to a large audience;
opportunity to hire the best and brightest students coming up within CI;

• Start-ups: opportunity to meet with larger companies who may want to purchase their
goods/services or their company; opportunity to pitch new ideas to Venture Capitalist;

• Venture capital: opportunity to screen great ideas coming from CIS for investment

• Small companies: opportunity to advertise their products, engage with new customers
and/or new prospective employees;

• Large companies: opportunity to hire the best possible ML/AI researchers and
programmers and showcase their future direction in this area.

• AI/ML Researchers: opportunity to bridge the gap between research and production
systems for the benefit of both sides.

The Industry day will focus on presentations, demos, events from companies, covering a wide range of sectors and technologies. The day will offer to industrial partners and researchers a view of the applications that are being developed using Computational Intelligence. The program will include a Visionary Keynote speaker on AI/CI future, scientific special sessions devoted to industrial applications, industry presentations, focused panels, startup pitches, trade-show floor & multiple networking opportunities.
For more information and to submit your proposal for presentation and panel on the WCCI 2022 Industry Day page

IEEE Fellow Nominations

fellow_pin.jpgIEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation. The deadline for IEEE Fellow Nominations is 1 March 2022. 

Review the step-by-step process to learn how to become—or nominate someone to become—an IEEE Fellow on the Steps to Become an IEEE Fellow page


2022 IEEE Conference on Games Call for Papers 

2022 IEEE Conference on Games (2022 IEEE CoG) will be held from 21 - 24 August 2022 in Beijing, China and online. Games not only establish one of the most profitable industries worldwide, but also offer a general and challenging environment for the advance of Artificial Intelligence (AI) and Computational Intelligence (CI). It covers all topics in the field of games, from game design to game intelligence and game theory, including scientific, technical, engineering and societal aspects. Deadline of Regular Papers (Full Technical Papers): 1 March, 2022 (firm without extension), and peer-review is double-anonymous. To submit your paper please click here

General Chairs: Dongbin Zhao ([email protected]) and Simon Lucas ([email protected])

Research Frontier

Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives

abstract of human and binary codeThe last decades have seen significant advancements in non-invasive neuroimaging technologies that have been increasingly adopted to examine human brain development. However, these improvements have not necessarily been followed by more sophisticated data analysis measures that are able to explain the mechanisms underlying functional brain development. For example, the shift from univariate (single area in the brain) to multivariate (multiple areas in brain) analysis paradigms is of significance as it allows investigations into the interactions between different brain regions. However, despite the potential of multivariate analysis to shed light on the interactions between developing brain regions, artificial intelligence (AI) techniques applied render the analysis non-explainable. The purpose of this paper is to understand the extent to which current state-of-the-art AI techniques can inform functional brain development.  Read More

IEEE Computational Intelligence Magazine, February, 2022


Robot Navigation in Unseen Spaces Using an Abstract Map

3d rendering mini robot holding serving trayHuman navigation in built environments depends on symbolic spatial information which has unrealized potential to enhance robot navigation capabilities. Information sources, such as labels, signs, maps, planners, spoken directions, and navigational gestures communicate a wealth of spatial information to the navigators of built environments; a wealth of information that robots typically ignore. We present a robot navigation system that uses the same symbolic spatial information employed by humans to purposefully navigate in unseen built environments with a level of performance comparable to humans. The navigation system uses a novel data structure called the abstract map to imagine malleable spatial models for unseen spaces from spatial symbols. Read More

IEEE Transactions on Cognitive and Developmental Systems, December, 2021


Reconstructing heterogeneous networks via compressive sensing and clustering

Abstract technology background.
 Network connection structure.
 3D rendering.Reconstructing complex networks from observed data is a fundamental problem in network science. Compressive sensing, widely used for recovery of sparse signals, has also been used for network reconstruction under the assumption that networks are sparse. However, heterogeneous networks are not exactly sparse. Moreover, when using compressive sensing to recover signals, the projection matrix is usually a random matrix that satisfies the restricted isometry property (RIP) condition. This condition is much harder to satisfy during network reconstruction because the projection matrix depends on time-series data of network dynamics. To overcome these shortcomings, we devised a novel approach by adapting the alternating direction method of multipliers to find a candidate adjacency matrix. Read More

Transactions on Emerging Topics in Computational Intelligence, December, 2021

Member Activities
IEEE CIS Social Media 

Are you a LinkedIn user? If so, please follow our new page.  Here, you will find conference announcements and exciting member information. And if you want to get involved in the conversation, don’t forget to follow our Twitter account @ieeecis. We also have an active Facebook The IEEE CIS YouTube account is your place to view archived webinars.  Please subscribe to the IEEE CIS YouTube channel

For our conference organizers, if you are supporting the development of websites or social media accounts, don’t forget to check out important IEEE information for volunteers.

Meet: Yaochu Jin, AdCom Member of IEEE CIS

Yaochu Jin

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

I am an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Chair of Nature Inspired Computing and Engineering, Faculty of Technology, Bielefeld, Germany. I am also a part-time Distinguished Chair in Computational Intelligence, Department of Computer Science, University of Surrey, United Kingdom. Most recently, I was also elected to be a Member of Academia Europaea. 

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

I joined IEEE in 1998 when I attended the 1998 IEEE World Congress on Computational Intelligence (WCCI) held in Alaska. I selected a few IEEE Societies relevant to my research area, including the Neural Network Council, which is the predecessor of IEEE CIS.  Over the years, CIS has become my “home” Society of IEEE, not only because CIS fits my research interest the best but also because I always felt at home when I attended the CIS events such as WCCI.  

What Computational Intelligence society committee do you serve?

I have been involved in many volunteer roles in CIS, starting from the founding chair of the Task Force on Evolutionary Computation in Dynamic and Uncertain Environments of the Evolutionary Computation Technical Committee in 2004. Then I served as a member of the several technical committees and the award subcommittee. During 2009-2020 I was the Chair of the Continuing Education and Industrial Liaison Sub-Committees. In 2011, I became the Chair of the Intelligent Systems Applications Technical Committee. I was elected to be an AdCom member in 2013-2014 and then served as the Vice President for Technical Committee in 2014-2015, before I took over the Editor-in-Chief of the IEEE Transactions on Cognitive and Developmental Systems in 2016. Presently, I am a member of the AdCom of CIS.      

I was also an IEEE CIS Distinguished Lecturer during 2012-2014 and 2017-2019. 

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

Being an active volunteer in CIS has been very helpful in my career development and personal life. By participating in various task forces or committees, I had the opportunity to know many leading researchers in the CIS. I learned a lot from their way of doing research, got inspiration and encouragement from discussions with them, and benefited from strong professional support in career development over the past decades. In addition, I also gained experience in organizing events and research projects by chairing technical committees in CIS. Finally, many colleagues in the CIS became a good friend of me. 


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

Making new friends and meeting with old friends in CIS has been the most enjoyable part of being active volunteer of CIS. I enjoyed discussing various businesses at the CIS meetings, having a casual chat with the friends, or going for a beer in the evening. I liked most travelling to a new place for a CIS meeting, where I would never have been otherwise.  

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

Recently I became interested in privacy-preserving learning and optimization, especially in the use of multi-objective evolutionary algorithms for federated learning, and evolutionary federated neural architecture search, and federated data-driven optimization. We are preparing a book on Federated Learning, which is planned to appear sometime in 2022.   


Live Webinar

Autonomous Bootstrapping of Collective Motion Behaviours for Swarming Robots

Date: Monday, 21 February 2022
Time: 9:00 PM - 10:00 PM EST


Collective behaviours such as swarm formations of autonomous agents offer the advantages of efficient movement, redundancy, and potential for human guidance of a single swarm organism. However, with the explosion in hardware platforms for autonomous vehicles, swarm robotic programming requires significant manual input for each new platform. This talk introduces two developmental approaches to evolving collective behaviours whereby the developmental process is guided by a task-non-specific value system. Two value systems will be considered: the first based on a survey of human perception of swarming and the second based on a computational model of curiosity. Unlike traditional approaches, these value systems do not need in advance the precise characteristics of the intended swarming behaviours. Read more


Featured Speaker

Prof. Kathryn Kasmarik
Prof. Kathryn Kasmarik

Kathryn Kasmarik is a Professor of Computer Science at the University of New South Wales, Australian Defence Force Academy (UNSW Canberra). Kathryn completed a Bachelor of Computer Science and Technology at the University of Sydney, including a study exchange at the University of California, Los Angeles (UCLA). She graduated with First Class Honours and the University Medal in 2002. She completed a PhD in Computer Science through the National ICT Australia and the University of Sydney in 2007. She moved to UNSW Canberra in 2008.


Live Webinar

Generation Hyper-Heuristics for Automated Design, Configuration and Selection

Date: Tuesday, 22 March 2022
Time: 7:00 AM - 9:00 AM EDT


Automated algorithm design, configuration and selection of machine learning and search algorithms (AutoDes) has made an impact on computational intelligence contributing to the advancement of the field. Generation hyper-heuristics, while in some ways still in their infancy, have proven to be effective for AutoDes. The application of generation hyper-heuristics in AutoDes range from creating new heuristics and operators to generating components of algorithms. The webinar will present an overview of generation hyper-heuristics in AutoDes, highlighting the advances and challenges. The webinar will also highlight future research directions in this field. Read more


Featured Speaker

Prof. Nelishia Pillay
Prof. Nelishia Pillay

Nelishia Pillay is a Professor at the University of Pretoria, South Africa. She holds the Multichoice Joint-Chair in Machine Learning and SARChI Chair in Artificial Intelligence. She is chair of the IEEE Technical Committee on Intelligent Systems Applications, IEEE Task Force on Hyper-Heuristics and the IEEE Task Force on Automated Algorithm Design, Configuration and Selection.

Educational Activities
2022 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 March 2022.

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

Editor Bing Xue
Victoria University of Wellington, New Zealand
Email: [email protected]

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