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IEEE CIS Newsletter, Issue 115, August 2022 

Congratulations to Chang-Shing Lee, IEEE Educational Activities Board (EAB) Meritorious Achievement Award in Pre-University Education

chang-shing.pngIEEE CIS is proud to announce that IEEE Educational Activities has selected our 2022 High School Outreach Subcommittee Chair, Chang-Shing Lee, to receive the Meritorious Achievement Award in Pre-University Education "for sustained contributions in promoting Computational and Artificial Intelligence among pre-university students." The Meritorious Achievement Award in Pre-University Education recognizes individuals for work in a pre-university school, or those that influence school-based activities for pre-university students. These individuals should have inspired an appreciation and understanding of mathematics, science, technology, and the engineering process in pre-university students, and have encouraged them to pursue technical careers.

Professor Lee has been instrumental in exposing pre-university students in Taiwan to computational intelligence (CI) and artificial intelligence–fuzzy markup language (AI-FML) for human and machine co-learning. He successfully inspired and encouraged high school students to attend these courses, and those students have successfully applied to engineering-related university programs based on their experience studying CI&AI-FML. More than 2,700 participants from Taiwan, Japan, and Indonesia experienced and learned CI&AI-FML applications thanks to his efforts and contributions.

Click here for more information about the High School Outreach Subcommittee.


Call for IEEE CIS Distinguished Lecturers Nominations

The IEEE CIS Distinguished Lecturer Program (DLP) aims at serving the Computational Intelligence community by providing stimulating lectures given by distinguished IEEE CIS professionals and scholars. It also aims at helping young researchers (masters and doctoral students) providing suggestions/guidance on their research problems as well as promoting computational intelligence tools and techniques among undergraduate students to make them interested in CIS fields of interest.

Distinguished Lecturers present novel basic and/or applied research results in their CIS sub-field. Their lectures offer insights into the trends and challenges of their CIS sub-field and their vision for the given sub-field. In any given year, selected IEEE CIS Distinguished Lecturers (DLs) have a balanced representation of CIS sub-fields and include representatives from academia, industry and government while spanning different IEEE Regions. The program supports local CIS Chapters by enabling a major Chapter event which can considerably improve a Chapter’s visibility to their existing IEEE CIS members, other IEEE Society members and the wider CIS community in their area. It is expected that DLP events actively seek to recruit new CIS professionals to both the CIS field and to IEEE CIS.

It should be noted that this program is NOT intended as a means to finance speakers for conferences/workshops or symposia.

For more information please visit the organizing distinguished lecturers webpage

Call for the IEEE CIS Distinguished Lecturers Nomination

The IEEE CIS DLP Sub-Committee shall evaluate the relevant values and merits of each nominee using both qualitative and quantitative evidence. The quantitative measures indicated in section III.1 are part of the input to be considered by the committee. Other criteria include, but are not limited to, qualitative assessments of the nominees work, geographical lecturer distribution requirements, or the need to include lecture topics that would not be, otherwise, well represented. The committee may consider exceptions to these criteria on a case by case basis.

Deadline: 30 August 2022

For more information please visit the nomination and appointment distinguished lecturers webpage


Deadlines for 2024 IEEE CIS Financially-sponsored Conference Proposals

Chairing a conference is a great way of helping the community, building a network, and getting involved with IEEE CIS. CIS financially (co-) sponsors many conferences. These include:

  • 2024 IEEE Conference on Games (IEEE CoG 2024) associated with the Games Technical Committee
  • 2024 IEEE Conference on CI in Bioinformatics and Computational Biology (IEEE CIBCB 2024) associated with the Bioinformatics and Bioengineering Technical Committee
  • 2024 IEEE Symposium on CI in Financial Engineering and Economics (IEEE CIFEr 2024) associated with the Computational Finance and Economics Technical Committee
  • 2024 IEEE Latin American Conference on Computational Intelligence (IEEE LA-CCI 2024) associated with the Task Force on Computational Intelligence in Latin America
  • 2024 IEEE Smart World Conference (IEEE SWC 2024) associated with the Smart World Technical Committee
  • 2024 IEEE International Conference on Development and Learning (IEEE ICDL 2024) associated with the Cognitive and Developmental Systems Technical Committee
  • 2024 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2024) associated with the Data Mining and Big Data Analytics Technical Committee
  • 2024 IEEE Evolving and Adaptive Intelligent Systems Conference (IEEE EAIS 2024) a co-sponsored event with IEEE Systems, Man, and Cybernetics Society and associated with the Adaptive and Evolving Fuzzy Systems Task Force of the Fuzzy Systems Technical Committee
  • 2024 IEEE Conference on CI and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2024), a co-sponsored event with IEEE Instrumentation and Measurement Society and associated with the CIVEMSA Steering Committee

Proposals for these conferences should be submitted by 30 August 2022 (hard deadline) to provide sufficient time for review and decision by IEEE CIS Confcom and Adcom. This also helps the society maintain its required two year horizon for approved conferences.

Please inform VP Conferences Marley Vellasco ([email protected]) and Gary Fogel ([email protected]) as Chair of the Confcom Subcommittee on Future Conferences of your intention to provide a proposal or if you would like further information. The process for generating such a proposal can be found on our website. We look forward to receiving your proposals and appreciate your support and effort on behalf of our conferences.

Research Frontier

Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction

Cyber Technology Security Protection Monitoring Concept, Advanced Cloud Data Security System, 
Futuristic Technology Background, 3d RenderingPrivacy-preserving deep learning with homomorphic encryption (HE) is a novel and promising research area aimed at designing deep learning solutions that operate while guaranteeing the privacy of user data. Designing privacy-preserving deep learning solutions requires one to completely rethink and redesign deep learning models and algorithms to match the severe technological and algorithmic constraints of HE. This paper provides an introduction to this complex research area as well as a methodology for designing privacy-preserving convolutional neural networks (CNNs). This methodology was applied to the design of a privacy-preserving version of the well-known LeNet-1 CNN, which was successfully operated on two benchmark datasets for image classification. Read More

IEEE Computational Intelligence Magazine, July 2022


Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems

Blue Little Characters Vector Art Illustration.
 Successful female business leader lifting a trophy leading a team.Multi-agent systems deliver highly resilient and adaptable solutions for common problems in telecommunications, aerospace, and industrial robotics. However, achieving an optimal global goal remains a persistent obstacle for collaborative multi-agent systems, where learning affects the behaviour of more than one agent. A number of nonlinear function approximation methods have been proposed for solving the Bellman equation, which describe a recursive format of an optimal policy. However, how to leverage the value distribution based on reinforcement learning, and how to improve the efficiency and efficacy of such systems remain a challenge. In this work, we developed a reward-reinforced generative adversarial network to represent the distribution of the value function, replacing the approximation of Bellman updates. We demonstrated our method is resilient and outperforms other conventional reinforcement learning methods. This method is also applied to a practical case study: maximising the number of user connections to autonomous airborne base stations in a mobile communication network. Read More

Transactions on Emerging Topics in Computational Intelligence, June 2022


Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks

Deepfake AI concept vector plugged into a networkGenerative adversarial networks (GANs) for (generalized) zero-shot learning (ZSL) aim to generate unseen image features when conditioned on unseen class embeddings, each of which corresponds to one unique category. Most existing works on GANs for ZSL generate features by merely feeding the seen image feature/class embedding (combined with random Gaussian noise) pairs into the generator/discriminator for a two-player minimax game. However, the structure consistency of the distributions among the real/fake image features, which may shift the generated features away from their real distribution to some extent, is seldom considered. In this paper, to align the weights of the generator for better structure consistency between real/fake features, we propose a novel multigraph adaptive GAN (MGA-GAN). Specifically, a Wasserstein GAN equipped with a classification loss is trained to generate discriminative features with structure consistency. Read More

IEEE Transactions on Neural Networks and Learning Systems, July 2022


PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms

boost business concept, process from idea to resultThe particle swarm optimization (PSO) algorithm has been the object of many studies and modifications for more than 25 years. Ranging from small refinements to the incorporation of sophisticated novel ideas, the majority of modifications proposed to this algorithm have been the result of a manual process in which developers try new designs based on their own knowledge and expertise. However, manually introducing changes is very time consuming and makes the systematic exploration of all the possible algorithm configurations a difficult process. In this article, we propose to use automatic design to overcome the limitations of having to manually find performing PSO algorithms. We develop a flexible software framework for PSO, called PSO-X, which is specifically designed to integrate the use of automatic configuration tools into the process of generating PSO algorithms. Our framework embodies a large number of algorithm components developed over more than 25 years of research that have allowed PSO to deal with a large variety of problems, and uses irace, a state-of-the-art configuration tool, to automatize the task of selecting and configuring PSO algorithms starting from these components. Read More

IEEE Transactions on Evolutionary Computation, June 2022

Member Activities

Live Webinar

Celebrating Women in Computational Intelligence

Date: Wednesday, 31 August 2022
Time: 2:30 AM - 3:30 AM EDT


In celebration of Women's month, we are celebrating women and their contribution to the IEEE Computational Intelligence Society. Come and listen to the stories of women in our society from different parts of the world and in different stages of their career, highlighting their career and the path they took, their research area and the role they are playing in the IEEE Computational Intelligence Society.


Featured Speakers

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Prof Bing Xue

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Prof Bing Xue

Prof Anna Bosman



Live Webinar

Tiny Machine Learning: Deeper and Wider Machine Learning at the Edge

Date: Wednesday, 14 September 2022
Time: 8:00 AM - 9:00 AM EDT


The “computing everywhere” paradigm (comprising Internet-of-Things and Edge Computing) will pave the way for a pervasive diffusion of Tiny Machine Learning (TinyML) in everyday life. To fully address this challenge TinyML solutions must become deeper, hence encompassing the deep-learning paradigms being the state-of-the-art in many recognition and classification applications, and wider, hence being able to operate in a collaborative and federated way within an ecosystem of heterogenous technological objects. This talk explores the solutions and methodologies to make TinyML deeper and wider by also considering the role of an effective and efficient processing of encrypted-data through deep-learning-as-a-service in an heterogeneous-hardware ecosystem.


Featured Speaker

Manuel Roveri

Manuel Roveri received the Ph.D. degree in Computer Engineering from the Politecnico di Milano (Italy) and the MS in Computer Science from the University of Illinois at Chicago (USA). He has been Visiting Researcher at Imperial College London (UK). Currently, he is an Associate Professor at the Department of Electronics and Information of the Politecnico di Milano (Italy).

Journal Special Issues
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 IEEE CIS COVID-19 Notice page as our organizers make decisions.

Conference Calendar
By Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil and Leandro Minku, University of Birmingham, UK
* Denotes a CIS-Sponsored Conference
∆ Denotes a CIS Technical Co-Sponsored Conference

* 2022 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2022)
15-17 August 2022
Place: Ottawa, Canada
General Co-Chairs: Dan Ashlock
* 2022 IEEE Conference on Games (IEEE CoG 2022)
21-24 August 2022
Place: Beijing, China
General Chairs: Dongbin Zhao and Simon M. Lucas
∆ The 4th International Conference on Industrial Artificial Intelligence (IAI 2022)
24-27 August 2022
Place: Shenyang, China
General Chair: Tianyou Chai
∆ 4th International Conference on Data Intelligence and Security (ICDIS 2022)
24-26 August 2022
Place: Shenzhen, China
General Chairs: Yaochu Jin and Xuan Wang
∆ Second International Conference on Emerging Techniques in Computational Intelligence (ICETCI)
25-27 August 2022
Place: Hyderabad, India
General chairs: Nikhil R. Pal and Akira Hirose
* 2022 IEEE International Conference on Development and Learning (IEEE ICDL 2022)
12-15 September 2022
Place: London, United Kingdom
General Chairs: Lorenzo Jamone and Yukie Nagai
∆ 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2022)
23-25 September 2022
Place: Preveza, Greece
General Chairs: Alexandros T. Tzallas, Markos G. Tsipouras, Michael F. Dossis
∆ 2022  First International Conference on Cyber-energy Systems and Intelligent Energy (ICCSIE 2022)
12-13 October 2022
Place: Beijing, China
General Chairs: Huaguang Zhang and Derong Liu
Website: TBA

∆ The 2nd International Conference on AI-ML Systems (AIML 2022)

12-15 October 2022

Place: Bangalore, India

General chairs: Ralf Herbrich, Dan Roth and Rajeev Rastogi


Submission: 5 July 2022

* 2022 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2022)
13-16 October 2022
Place: Shenzhen, China
General Chairs: Joshua Huang, Gary Yen and Karoli Skala
∆ 2022 Asian Conference on Artificial Intelligence Technology (ACAIT 2022)
28-30 October 2022
Place: Changzhou, China
General Co-Chairs: Qionghai Dai, Cesare Alippi and Jong-Hwan Kim
∆ The 17th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2022)
3-4 November 2022
Place: Virtual
General Co-Chairs: Phivos Mylonas and Katia-Lida Kermanidou
* IEEE Latin-America Conference on Computational Intelligence (IEEE LA-CCI 2022)
23-25 November 2022
Place: Montevideo, Urugay
General Chair: Martin Pedemonte and Hector Cancela
* 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022)
4-7 December 2022
Place: Singapore
General Chairs: Ah-Hwee Tan, Dipti Srinivasan and Chunyan Miao
* 2022 IEEE Smart World Conference (IEEE SWC 2022)
16-18 December 2022
Place: Haikou, China
General Chair: Laurence T. Yang
* 2023 IEEE Conference on Artificial Intelligence (IEEE CAI 2023)
7-8 June 2023
Place: Santa Clara Valley, USA
General Chairs: Gary Fogel and Piero Bonissone
* IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2023)
12-14 June 2023
Place: Tunis, Tunisia
General Chair: Adel M. Alimi

2023 International Joint Conference on Neural Networks (IJCNN)

18-23 June 2023

Place: Gold Coast, Australia

General Chairs: Brijesh Verma and Nik Kasabov

Website: (website will be ready soon)
* 2023 IEEE Congress on Evolutionary Computation (IEEE CEC 2023)
2-5 July 2023
Place: Chicago, USA
General Chair: Gui DeSouza
Website: TBA
* 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 Smart World Congress (IEEE SWC 2023)
25-28 August 2023
Place: Portsmouth, UK
General chairs: Hui Yu and Man Lin
Website: TBA
* IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB)
29-31 August 2023
Place: Eindhoven, Netherlands
General Chair: Marco S. Nobile
Website: TBA
* 2023 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023)
2-6 October 2023
Place: Thessaloniki, Greece
General Chair: Yannis Manolopoulos
Website: TBA
* 2023 IEEE International Conference on Development and Learning (ICDL-EpiRob 2023)
9-11 November 2023
Place: Macau, China
General Chair: Zhijun Li
Website: TBA
* 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023)
6-8 Decemeber 2023
Place: Mexico City, Mexico
General Chair: Wen Yu
Website: TBA
* 2024 IEEE World Congress on Computational Intelligence (IEEE WCCI 2024)
30 June - 5 July 2024
Place: Yokohama, Japan
General Chairs: Akira Hirose and Hisao Ishibuchi

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

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