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IEEE CIS Newsletter, Issue 134, March 2024 

Inviting Nominations for IEEE CIS Awards


The IEEE Computational Intelligence Society annually recognizes significant contributions and meritorious service in the field of computational intelligence.

Nominations are highly encouraged to recognize our volunteers and eminent colleagues to keep our Society alive and to promote research excellence in computational intelligence. The IEEE Computational Intelligence Society sponsors several annual Awards. Please see the awards and nomination details on the IEEE CIS Awards.

The IEEE CIS Awards have a deadline of 30 April 2024 (strict deadline).

Mengjie Zhang
Awards Committee Chair


IEEE CIS Call for Nominations for Key Leadership Positions

The IEEE Computational Intelligence Society (CIS) is seeking nominations for the following key leadership positions (terms are in parentheses):

• President-Elect (2025), President (2026-2027)
• Vice President for Education (2025-2026)
• Vice President for Member Activities (2025-2026)
• Vice President for Publications (2025-2026)
• Five ADCOM Members-at-Large (2025-2027)

The nomination will close on 26 April 2024. For more information please visit IEEE CIS Call for Nominations

James M. Keller
Nominations Committee Chair

IEEE TAI Call for Applications and Nominations for Editor-in-Chief


The IEEE Computational Intelligence Society; IEEE Computer Society; IEEE Systems, Man, and Cybernetics Society; IEEE Signal Processing Society; and IEEE Robotics and Automation Society seek nominations for the position of Editor-in-Chief-Elect of IEEE Transactions on Artificial Intelligence (IEEE TAI) from July 2024, to commence from 1 January 2025 a two-year term as the Editor-in-Chief.

Submission deadline is 1 April 2024. For more information visit IEEE TAI EIC Call for Nominations and Applications


2024 IEEE CAI Early Registration Now Open!

CAI 2024 IEEE Conference on Artificial Intelligence

Early registration is now open for the second edition of the IEEE Conference on Artificial Intelligence (IEEE CAI) that will take place at Marina Bay Sands, Singapore, from 25 to 27 June 2024. The conference will feature industry plenary speakers, an exhibition, and panels to discuss contemporary topics in AI that impact industry and the society.

Secure your spot today! Click here to register. 


IEEE CIS Conference Participation and Travel Grants

CIS is pleased to offer travel grants to support our Society members to attend and present in selected CIS-sponsored conferences. The applications for the following conferences will open soon (please refer to the respective webpages):

IEEE Conference on Artificial Intelligence (CAI) 2024 

IEEE World Congress on Computational Intelligence (WCCI) 2024

• IEEE International Conference on Development and Learning (ICDL) 2024

For more information visit IEEE CIS Conference Participation and Travel Grants.

Dr Yi Mei
Travel Grant Subcommittee Chair


IEEE CIS sponsors and co-sponsors a number of conferences across the globe.

Member Activities

Meet a CIS Member: Mardé Helbig


Meet: Mardé Helbig, Chair of the IEEE CIS Distinguished Lecturers Program sub-committee

What is your title, and place of work? (or Technical Field of Research)?
I am the Deputy Director of the Griffith Sciences Partnership Office (GSPO) and Senior Lecturer within the School of ICT at Griffith University, Australia. As Deputy Director of the GSPO I facilitate engagement with industry for the whole Sciences group for both academic staff and students, and for both research and teaching activities.

My research focuses on using computational intelligence algorithms to solve optimisation problems with multiple goals/objectives, where at least two of the goals are in conflict with one another and the objectives and/or constraints are dynamic. I am also interested in visualizing and better understanding the search process of the algorithms and applying these algorithms to real-world problems. Read more


IEEE CIS is a Proud Sponsor of IEEE Brain

3010_MBB_03.2021_SECTION What Members Are Talking About _IEEE Brain Logo.pngAs an IEEE-wide effort, the IEEE Brain Technical Community unites engineering and computing expertise across IEEE Societies and Councils relevant to neuroscience, and provides an avenue for IEEE to work with multiple constituencies in academia, industry, and government to incubate and sponsor new activities, projects, and standards that facilitate bringing neurotechnology to market in an ethical and responsible manner.

IEEE CIS is now a sponsoring Society of the IEEE Brain Technical Community. IEEE CIS members can join the IEEE Brain Technical Community for free as a benefit of being a Sponsoring Society member.

Click here for more information about IEEE Brain.

Damien Coyle
IEEE CIS Representative
IEEE Brain Steering Committee

Educational Activities

2024 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 deadline for submission of 30 March 2024. More information on the scheme can be found on the Graduate Student Research Grants.


2024 Call for Summer School Proposals


The IEEE Computational Intelligence Society (CIS) is pleased to offer funding to support the organization of summer schools in the field of computational intelligence. Funding is available to partially cover the costs of tuition, accommodation, and other expenses associated with running a summer school.

The deadline for submitting proposals is 30 April 2024. Please visit IEEE Summer Schools for more information. 

Journal Special Issues
Research Frontier

When Evolutionary Computation Meets Privacy

Business, technology, internet and networking concept.
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Recently, evolutionary computation (EC) has experienced significant advancements due to the integration of machine learning, distributed computing, and big data technologies. These developments have led to new research avenues in EC, such as distributed EC and surrogate-assisted EC. While these advancements have greatly enhanced the performance and applicability of EC, they have also raised concerns regarding privacy leakages, specifically the disclosure of optimal results and surrogate models. Read more

IEEE Computational Intelligence Magazine, February 2024


An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems

Business process management and workflow automation flowchart, gears, 
icons, manager stock photo
Experienced users often have useful knowledge and intuition in solving real-world optimization problems. User knowledge can be formulated as intervariable relationships to assist an optimization algorithm in finding good solutions faster. Such intervariable interactions can also be automatically learned from high-performing solutions discovered at intermediate iterations in an optimization run—a process called innovization. Read more

IEEE Transactions on Evolutionary Computation, February 2024


Distributed Fuzzy Containment Control for Stochastic Nonlinear Multiagent Systems Under Denial-of-Service Attacks

Top View Of Robotic Arms Working On Conveyor Belt In Automatic Warehouse 
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This article investigates the distributed fuzzy adaptive containment control problem of stochastic nonlinear multiagent systems under a directed communication topology suffering denial-of-service (DoS) attacks. First, considering unknown stochastic disturbance and nonlinear characteristics for the followers, the mathematical models are modeled as It o^ stochastic nonlinearity terms approximated through fuzzy logic systems. Read more

IEEE Transactions on Fuzzy Systems, December 2023


A Type-2 Fuzzy-Based Explainable AI System for Predictive Maintenance Within the Water Pumping Industry

Pressure switch. stock photo

Industrial maintenance has undergone a paradigm shift due to the emergence of artificial intelligence (AI), the Internet of things, and cloud computing. Rather than accepting the drawbacks of reactive maintenance, leading firms worldwide are embracing "predict-and-prevent" maintenance. Read more

IEEE Transactions on Transactions on Artificial Intelligence, February 2024


Adaptive Indoor People-Counting System Based on Edge AI Computing

Rush hour stock photo blurred image of people on an escalator

Since the outbreak of COVID-19 in 2019, people counting in confined spaces has become essential for controlling the flow of people and reducing viral spread. Many people-counting systems use a fisheye lens to achieve a wide viewing range. However, the images captured with a fisheye lens can have different sizes and deformations due to different camera heights, which consequently affects the accuracy of people counting.  Read more

IEEE Transactions Emerging Topics in Computational Intelligence, February 2024


Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks

3D illustration of Interconnected neurons with electrical pulses.

The strengthening and the weakening of synaptic strength in existing Bienenstock-Cooper-Munro (BCM) learning rule are determined by a long-term potentiation (LTP) sliding modification threshold and the afferent synaptic activities. However, synaptic long-term depression (LTD) even affects low-active synapses during the induction of synaptic plasticity, which may lead to information loss. Read more

IEEE Transactions on Neural Networks and Learning Systems, February 2024


Peer Incentive Reinforcement Learning for Cooperative Multiagent Games

3D Illustration of Fantastic Environments futuristic fantastic city of the future

Social learning, especially social incentives, is extremely important for humans to achieve a high level of coordination. Inspired by this, we introduce this concept into cooperative multiagent reinforcement learning (MARL), to implicitly address the credit assignment problem and promote the interagent direct interactions for cooperations among agents in cooperative multiagent games. Read more

IEEE Transactions on Games, December 2023


REAL-X—Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems

AI, Machine learning, Hands of robot and human touching on big data network connection background, Science and artificial intelligence technology, innovation and futuristic.

Open-ended learning is a core research field of developmental robotics and AI aiming to build learning machines and robots that can autonomously acquire knowledge and skills incrementally as infants. The first contribution of this work is to highlight the challenges posed by the previously proposed benchmark "REAL competition" fostering the development of truly open-ended learning robots. Read more

IEEE Transactions Cognitive and Developmental Systems, December 2023

Hemant Kumar Singh
The University of New South Wales, Australia
Email: [email protected]

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