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IEEE CIS Newsletter, Issue 104, September 2021

2022 IEEE Computational Intelligence Society (CIS) Awards

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


Neural Networks Pioneer Award 
Derong Liu
For contributions to recurrent neural networks and applications.

Fuzzy Systems Pioneer Award 
Gang (Gary) Feng
For contributions to theory and applications of model-based fuzzy control systems.

Evolutionary Computation Pioneer Award 
Darrell Whitley
For early contributions to the practical implementation and theoretical understanding of evolutionary algorithms.

Outstanding Chapter Award 
IEEE CIS Student Branch Chapter, G H Raisoni College of Engineering, Nagpur, India
For the innovative and wide range of diverse and inclusive activities which connect research, education and industry in the field of computational intelligence.

Outstanding PhD Dissertation Award 
Ye Tian
"Solving Complex Multi-Objective Optimization Problems by Evolutionary Algorithms"
Institution: Anhui University
Year: 2018
For contributions to large-scale, multi- and many-objective evolutionary optimization.

TNNLS Outstanding Paper Award
Chenguang Yang, Chuize Chen, Wei He, Rongxin Cui, and Zhijun Li. "Robot Learning System based on Adaptive Neural Control and Dynamic Movement Primitives." IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 3, pp.777-787, 2019.

TFS Outstanding Paper Award

Li, Y. Dong and F. Herrera, "A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups," in IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 221-233, Feb. 2019, doi: 10.1109/TFUZZ.2018.2857720.

TEVC Outstanding Paper Award 
Jiawei Su, Danilo Vasconcellos Vargas; Kouichi Sakurai, “One Pixel Attack for Fooling Deep Neural Networks”, IEEE Transactions on Evolutionary Computation, Vol. 23, No. 5, pp. 828-841, October 2019.

TETCI Outstanding Paper Award
Shao, Y. Zhu and D. Zhao, "StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 1, pp. 73-84, Feb. 2019, doi: 10.1109/TETCI.2018.2823329.

ToG Outstanding Paper Award
Wydmuch, M. Kempka and W. Jaśkowski, "ViZDoom Competitions: Playing Doom From Pixels," in IEEE Transactions on Games, vol. 11, no. 3, pp. 248-259, Sept. 2019, doi: 10.1109/TG.2018.2877047.

TCDS Outstanding Paper Award
Shitao Chen, Songyi Zhang, Jinghao Shang, Badong Chen and Nanning Zheng. "Brain-inspired cognitive model with attention for self-driving cars." IEEE Transactions on Cognitive and Developmental Systems, 11(1):13 – 25, 2019

CIM Outstanding Paper Award
Fernandez, F. Herrera, O. Cordon, M. Jose del Jesus and F. Marcelloni, "Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?" in IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 69-81, Feb. 2019, doi: 10.1109/MCI.2018.2881645.

Research Frontier

Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization

Hand putting print screen dart and target board wooden cube on up arrows. Target of investment and business concept.This article proposes an evolutionary algorithm using multiple penalties and multiple local surrogates (MPMLS) for expensive constrained optimization. In each generation, MPMLS defines and optimizes a number of subproblems. Each subproblem penalizes the constraints in the original problem using a different penalty coefficient and has its own search subregion. A local surrogate is built for optimizing each subproblem. Read More

IEEE Transactions on Evolutionary Computation, August 2021


Fuzzy Density Peaks Clustering

People and modern technology connection.As an exemplar-based clustering method, the well-known density peaks clustering (DPC) heavily depends on the computation of kernel-based density peaks, which incurs two issues: first, whether kernel-based density can facilitate a large variety of data well, including cases where ambiguity and uncertainty of the assignment of the data points to their clusters may exist, and second, whether the concept of density peaks can be interpreted and manipulated from the perspective of soft partitions (e.g., fuzzy partitions) to achieve enhanced clustering performance. Read More

IEEE Transactions on Fuzzy Systems, July 2021


Explainable AI for the Choquet Integral

A visual representation of XAI.
 A clear white box model containing a digitized brain, with the letters X, A & I etched on the top of the box.The modern era of machine learning is focused on data-driven solutions. While this has resulted in astonishing leaps in numerous applications, explainability has not witnessed the same growth. The reality is, most machine learning solutions are black boxes. Herein, we focus on data/information fusion in machine learning. Specifically, we explore four eXplainable Artificial Intelligence (XAI) questions relative to Choquet integral; (i) what is the quality of our inputs and their interactions, (ii) how is the information being combined, (iii) what is the quality of our training data (and thus our learned models), and (iv) what trust do we place in an output? Read More

IEEE Transactions on Emerging Topics in Computational Intelligence, August 2021


Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

young woman reading a magazine in a autonomous car.
 driverless car.
 self-driving vehicle.
 heads up display.
 automotive technology.Recently, the advancement of deep learning (DL) in discriminative feature learning from 3-D LiDAR data has led to rapid development in the field of autonomous driving. However, automated processing uneven, unstructured, noisy, and massive 3-D point clouds are a challenging and tedious task. In this article, we provide a systematic review of existing compelling DL architectures applied in LiDAR point clouds, detailing for specific tasks in autonomous driving, such as segmentation, detection, and classification. Read More

IEEE Transactions on Neural Networks and Learning Systems, August 2021

Member Activities

Meet IEEE CIS Members

Meet:  Catherine Huang, Chair of the Industry Liaison Subcommittee 


My name is Catherine Huang. I volunteered to raise sponsorship from my employer Intel and McAfee to sponsor IEEE CIS conferences (IJCNN 2017, WCCI 2014, 2018, SSCI 2016) and IEEE SPS conference (MLSP 2015), and Women in Machine Learning workshop (WiML 2017). 

What is your title, and place of work? Or Technical Field of Research? huang.jpg

I am a Principal Engineer and Senior Staff Data Scientist at McAfee AI Research. My research interests include adversarial machine learning, responsible AI, and machine learning, including deep learning for security applications. 

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

I have been an CIS member since 2014. I joined CIS because I felt it was a great opportunity to interact and collaborate with world-renowned experts in the field of cutting-edge technology in CI.  

What Computational Intelligence Society committee do you serve?

I am currently a member of IEEE CIS Administrative Committee and a TC member of IEEE Neural Networks Technical Committee (Task force chair of Secure Learning). I am also co-chair of the CIS Industrial Liaison subcommittee. I am an associate editor of IEEE Transactions on AI (a guest editor of Special Issue on Robotics and Special Issue on Security and Privacy in ML). I was the TC chair of IEEE CDSTC in 2019-2020 and vice-chair of CDSTC in 2017-2018. I was also in the organizing committee for several WCCI and IJCNN and was an associate editor of IEEE TETCI and TCDS

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

I have a nonlinear career path. Here are a few reflections from my experience which have helped me professionally. 

  • It’s never too late to pursue your passion. Don’t be afraid to start something out of fear that others are ahead – embrace new learning opportunities and see where they take you.  
  • Own your career and be confident. A nonlinear and non-traditional path can be a good thing; just make sure that you take ownership of your own work and don’t hesitate to share your skills.
  • Lift yourself up and others. Aim to inspire and support those around you – your family, friends, and coworkers. Pursuing a career doesn’t mean sacrificing interpersonal relationships – sometimes it can make them stronger.

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

The most fun and rewarding part has been uplifting women and underrepresented groups in CIS.

I really enjoyed talking to the students at the conferences and encouraging them to pursue their careers. One memorable experience was at IEEE SSCI 2016 Award Ceremony. I was asked to present the Student Paper Award (as shown in the photo).

The student was crying when she received this award in IEEE SSCI 2016 in Athens, Greece.

One IEEE Fellow commented that she would remember this award for her entire life – it was at that moment that I felt the true impact of working in this community.

My hope is that this community will continue to support young and innovative women and minorities to become leaders in this field.


Catherine Huang offering one of the student paper awards. 

We are grateful to Intel USA (special thanks to Dr. Catherine Huang) for sponsoring the Best Paper Run-up Award and Best Student Paper Runner-up Awards.

From IEEE CI Magazine V12 #2 May 2017 page 17. 

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

I like hiking and playing tennis.


Live Webinar

From Cybernetics and Systems Theory to Computer Science and Fuzzy Sets: A Biographical Sketch on Lotfi A. Zadeh

Date: Wednesday, 8 September 2021
Time: 10:00 AM - 11:00 AM EDT


After World War II, scientists and technicians among Claude E. Shannon and Norbert Wiener established the new research field of Information Theory. Some of them referenced the work of appropriate experts, e.g. MIT colleague Ernest Guillemin and their research would be consolidated by a new generation communication engineers, e.g. Lotfi A. Zadeh, who passed in September 2017.

By forming new concepts, Zadeh tied directly into Wiener’s statistical basis of filter theory but then immediately surpassed it. If filters that were realized as electrical circuits did not operate according to the mathematical theory, then one must be content with less! His attempts to describe real systems in a mathematically precise manner failed. There were questions about the problems of pattern recognition which Zadeh was beginning to ponder in terms of the gradual membership of elements to sets. He introduced Fuzzy Sets in order to solve the problem of abstraction in pattern recognition in a “natural and comfortable way.”


Featured Speaker

Rudolf Seising
Rudolf Seising

Rudolf Seising was born 1961 in Duisburg, Germany. He obtained his Ph.D. in Philosophy of Science and the German Habilitation in History of science from the Ludwig–Maximilians–University in Munich after studies of Mathematics, Physics and Philosophy at the Ruhr-University of Bochum (Germany). Dr. Seising is now with the Research Institute for the History of Science and Technology at the Deutsches Museum in Munich.

Technical Activities

New “Developing Minds” global lecture series

robot peeking

Organizers: Jochen Triesch, Yukie Nagai, Chen Yu

Supported by the IEEE Technical Committee on Cognitive and Developmental Systems

In 1950, Alan Turing asked "Instead of trying to produce a programme to simulate the adult mind, why not rather try to produce one which simulates the child's?" Today, over 70 years later, constructing a computer program that can learn like a child and that develops a human-like general intelligence is still considered a grand, if not the ultimate, challenge for artificial intelligence (AI). The new Developing Minds global lecture series will showcase the progress being made. The inaugural lecture will be given by IEEE Distinguished Lecturer Pierre-Yves Oudeyer on 30 September at 13:00 UTC. For more details click here.

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 as our organizers make decisions.

Conference Calendar


Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil

Leandro Minku, University of Birmingham, UK


* Denotes a CIS-Sponsored Conference

∆ Denotes a CIS Technical Co-Sponsored Conference


∆ 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



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

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



∆ 5th International Conference on Intelligent Computing in Data Sciences (ICDS 2021)

20-22 October 2021

Place: Fez, Morocco

General Chairs: Cesare Alippi, Ahmed Azough, Youness Oubenaalla


Submission: 5 July 2021

∆ 5th Asian Conference on Artificial Intelligence (ACAIT 2021)

29-31 October 2021

Place: Haikou, China

General Chairs: Qionghai Dai, Cesare Alippi, Jong-Hwan Kim


∆ 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 (IEEE LA-CCI 2021)

2-4 November 2021

Place: Temuco, Chile

General Co-Chairs: Millaray Curilem and Doris Saez



∆ International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2021)

4-5 November 2021

Place: Virtual

General Chair: Phivos Mylonas


* 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


∆ International Conference on Agents and Artificial Intelligence (ICAART 2022)

3-5 February 2022

Place: Vienna, Austria

General Chair: Jaap van den Herik


Submission: 14 September 2021


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

4-5 May 2022

Place: Helsinki, Finland

General Co-Chairs: Michael Kampouridis and Peter Sarlin



∆ International Conference on Intelligent Systems and Computational Intelligence (ICISCI 2022)

10-13 May 2022

Place: Changsha, China

General Chairs: Tingwen Huang and Chunhua Yang



* 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



* IEEE International Conference on Computational Intelligence & Virtual Environments for Measurement Systems and Applications (IEEE CIVESMA 2022)

15-17 June 2022

Place: Chemnitz, Germany

General Chair: Olfa Kanoun and Abdulmotaleb El Saddik

Website: TBA

* 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


* 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

Website: TBA

Submission: May 31, 2022


* 2022 IEEE Conference on Games (IEEE CoG 2022)

21-24 August 2022

Place: Beijing, China

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

Website: TBA


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

12-15 September 2022

Place: London, United Kingdom

General Co-Chairs: Lorenzo Jamone and Yukie Nagai



* 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, Karoli Skala

Website: TBA

* 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

Website: TBA

Submission: 29 May 2022

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

4-7 December 2022

Place: Singapore

General Chair: Ah-Hwee Tan & Dipti Srinivasan

Website: TBA

* 2022 IEEE Smart World Conference (IEEE SWC 2022)

16-18 December 2022

Place: Haikou, China

General Chair: Laurence T. Yang

Website: TBA


* 2023 IEEE Congress on Evolutionary Computation (IEEE CEC 2023)

2-5 July 2023

Place: Chicago, USA

General Chair: Gui de Souza

Website: TBA

Submission: 13 January 2023


* 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

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

Submission: 1 May 2023

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

6-8 December 2023

Place: Mexico City, Mexico

General Chair: Wen Yu

Website: TBA

CIS sponsors and co-sponsors a number of conferences across the globe. 
Editor Bing Xue
Victoria University of Wellington, New Zealand

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