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IEEE CIS Newsletter, Issue 133, February 2024 

Editor’s note:

Dear CIS colleagues,

I am pleased to have been appointed as the new editor of the CIS newsletter from January 2024. Conveniently, you can learn a bit more about me in the "Meet a CIS member" section of the previous edition (issue #132) of the newsletter. I look forward to continuing to bring the monthly updates from the world of CIS to you!


Hemant Kumar Singh
The University of New South Wales, Australia

2024 Award Recipients


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

IEEE CIS would like to congratulate the newly-announced awardees listed below and also thank all of those involved with nominations and the evaluations during this awards cycle.

2024 Neural Network Pioneer Award: Johan Suykens: For contributions to least squares support vector machines.

2024 Fuzzy Systems Pioneer Award: Qiang Shen: For developing data-driven approximate knowledge-based decision support systems and their applications.

2024 Evolutionary Computation Pioneer Award: John Koza: For pioneering the development of genetic programming and its application to machine learning and software engineering.

2024 Enrique Ruspini Meritorious Service Award to: Cesare Alippi: For his dedicated services to the enhancement of educational and other international activities of the IEEE Computational Intelligence Society.

2024 Early Career Award to: Soujanya Poria: For contributions to the development of deep learning models for conversational understanding, and sentiment and emotion analysis.

2024 Outstanding Chapter Award to: Taipei Chapter: For diverse and inclusive activities in computational intelligence and membership development.

2024 IEEE CIS PhD Dissertation Award to Ying Bi: Genetic Programming for Feature Learning in Image Classification December 2020, Victoria University of Wellington, New Zealand

2024 IEEE CIS Outstanding Organization Award to Fano Labs Limited: For applications of computational intelligence techniques to speech-related products.

2024 IEEE TNNLS Outstanding Paper Award to Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S. Yu. “A Comprehensive Survey on Graph Neural Networks” IEEE TNNLS, 32(1), 4-24, 2021”

2024 IEEE TFS Outstanding Paper Award to H. Lu, M. Zhang, X. Xu, Y. Li, H. T. Shen.  "Deep Fuzzy Hashing Network for Efficient Image Retrieval", IEEE Transactions on Fuzzy Systems, Vol. 29, No. 1, pp. 166-176, Jan. 2021, doi: 10.1109/TFUZZ.2020.2984991

2024 IEEE TEVC Outstanding Paper Award to Ye Tian, Tao Zhang, Jianhua Xiao, Xingyi Zhang, Yaochu Jin, "A Coevolutionary Framework for Constrained Multiobjective Optimization Problems", IEEE Transactions on Evolutionary Computation , Vol. 25, Issue. 1, pp. 102-116, Feb. 2021, doi: 10.1109/TEVC.2020.3004012

2024 IEEE TCDS Outstanding Paper Award to I. Giorgi, B. Golosio, M. Esposito, A. Cangelosi and G. L. Masala, "Modeling Multiple Language Learning in a Developmental Cognitive Architecture", IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 4, pp. 922-933, Dec. 2021.

2024 IEEE Transactions on Games Outstanding Paper Award to Sarra Graja; Phil Lopes; Guillaume Chanel, "Impact of Visual and Sound Orchestration on Physiological Arousal and Tension in a Horror Game", IEEE Transactions on Games, Vol. 12, Issue 3, pp. 287-299, September 2021

2024 IEEE TETCI Outstanding Paper Award to Shiping Wen, Minghui Dong, Yin Yang, Pan Zhou, Tingwen Huang and Yiran Chen, "End-to-End Detection-Segmentation System for Face Labeling,” IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 5, Issue 3, pp. 457 - 467, Jun 2021.

2024 IEEE CIM Outstanding Paper Award to Kay Chen Tan, Liang Feng, and Min Jiang, "Evolutionary Transfer Optimization – A New Frontier in Evolutionary Computation Research", IEEE Computational Intelligence Magazine, 16(1):22-33, 2021.

Click to view more information on the CIS Award Recipients.

The 2025 Awards cycle is now underway.  For more information on how to nominate, click here.


Strategic Planning Update

CIS held a Strategic Planning Exercise in 2022 and 2023. The Society Mission, Vision and Field of Interest were part of the review and updates were included in the new Strategic Plan.

CIS leadership would like to thank the volunteer members of the 2022 and 2023 Executive Committee, Administrative Committee, Strategic Planning Committee and the Working groups who provided their time, expertise and valuable input towards the development of this plan.

Click to read more.


IEEE CoG 2024

The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems. IEEE CoG 2024 will take place at Politecnico di Milano, which is located in Milan, Italy.

Paper submission deadline: 1 March 2024



wcci 2024

IEEE WCCI is the world's largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC).

Visit for more information. 



CAI 2024 IEEE Conference on Artificial Intelligence

The second edition of the IEEE Conference on Artificial Intelligence (IEEE CAI) will take place at Marina Bay Sands, Singapore, from 25 to 27 June 2024. The Organising Committee invites paper submissions from industry and academia. The conference will feature industry plenary speakers, an exhibition, and panels to discuss contemporary topics in AI that impact industry and the society.

Visit IEEE CAI 2024 for more information.


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

Member Activities

Meet a CIS Member

Ying Bi.jpg

Meet: Ying Bi, 2024 WCI subcommittee chair

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

I am a distinguished professor with the School of Electrical and Information Engineering and the computational intelligence lab at Zhengzhou University (ZZU), China. Read more

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 15 March 2024. More information on the scheme can be found on the Graduate Student Research Grants webpage.


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 of 30 April 2024. Please visit IEEE Summer Schools for more information. 

Journal Special Issues
Research Frontier

Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection

Bright Vector Network design stock illustration
Many real-world classification problems are becoming multi-label in nature, i.e., multiple class labels are assigned to an instance simultaneously. Multi-label classification is a challenging problem due to the involvement of three forms of interactions, i.e., feature-to-feature, feature-to-label, and label-to-label interactions. What further complicates the problem is that not all features are useful, and some can deteriorate the classification performance. Read more

IEEE Computational Intelligence Magazine, February 2024


Adaptive Ant Colony Optimization With Node Clustering for the Multidepot Vehicle Routing Problem

bright vector network
This article deals with the novel metaheuristic algorithm based on the ant colony optimization (ACO) principle. It implements several novel mechanisms that improve its overall performance, lower the optimization time, and reduce the negative behavior which is typically connected with ACO-based algorithms (such as prematurely falling into local optima, or the impact of setting of control parameters on the convergence for different problem configurations). Read more

IEEE Transactions on Evolutionary Computation, December 2023


Convex Stability Analysis of Mamdani-Like Fuzzy Systems With Singleton Consequents

Technical cluster of glowing hex tubes 3D render illustration stock photo
We study the stability of a class of discrete-time fuzzy systems with singleton consequents, called Mamdani-like fuzzy systems. The parametric expressions, specific to this class of fuzzy systems, are leveraged to derive stability analysis conditions via Finsler's lemma and Lyapunov stability tools. This allows avoiding the major challenge in dealing with high-dimensional cases, encountered in the related literature when using the classical state-space representation. Read more

IEEE Transactions on Fuzzy Systems, November 2023


Toward Handling Uncertainty-At-Source in AI—A Review and Next Steps for Interval Regression

Cyborg illustration holding a question mark

Most of statistics and AI draw insights through modeling discord or variance between sources (i.e., intersource) of information. Increasingly however, research is focusing on uncertainty arising at the level of individual measurements (i.e., within- or intrasource), such as for a given sensor output or human response. Here, adopting intervals rather than numbers as the fundamental data.Read more

IEEE Transactions on Transactions on Artificial Intelligence, January 2023


Data-Driven Fault-Tolerant Reinforcement Learning Containment Control for Nonlinear Multiagent Systems

Organoid intelligence vector icon design, predictive modeling

This article concentrates on the data-driven containment problem for a class of nonlinear discrete-time multiagent systems via reinforcement learning. A novel two-layer control architecture is designed. In the first layer, a reference model is introduced with which all signals of the multiagent systems will reach synchronization. Read more

IEEE Transactions Emerging Topics in Computational Intelligence, Early Access


Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

Organization building, subordination in the company stock photo

Long short-term memory (LSTM) recurrent networks are frequently used for tasks involving time-sequential data, such as speech recognition. Unlike previous LSTM accelerators that either exploit spatial weight sparsity or temporal activation sparsity, this article proposes a new accelerator called “Spartus” that exploits spatio-temporal sparsity to achieve ultralow latency inference. Read more

IEEE Transactions on Neural Networks and Learning Systems, January 2024


A Deep Learning-Based Multidimensional Aesthetic Quality Assessment Method for Mobile Game Images

Mobile Game with Retro Style stock photo

Mobile games have played an increasingly significant role in people's leisure lives in recent years, thanks to the fast expansion of the gaming industry and the widespread use of mobile devices. The aesthetic quality of game pictures is a very important factor that attracts users' interest. However, evaluating the aesthetic quality of mobile game pictures is difficult since the painting styles of games vary greatly and the evaluation criteria are also diversified. Read more

IEEE Transactions on Games, December 2023


CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics

Robot sitting on a bunch of books.

For most real-world applications, robots need to adapt and learn continually with limited data in their environments. In this article, we consider the problem of few-shot incremental learning (FSIL), in which an AI agent is required to learn incrementally from a few data samples without forgetting the data it has previously learned. 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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