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IEEE CIS Newsletter, Issue 101, June 2021
 
 
 
 
 
 
Announcements
 
 
 
 

IEEE CIS Constitution Update Becomes Effective

Amendments to the CIS Constitution have been formally presented to the attention of all CIS Members since 13 April 2021 on the CIS website and via mail. They became effective on 20 May 2021. As a result, a CIS Industrial and Governmental Activities Committee will be established on 1 January 2022.


 
 
 
 

Call for Nominations for the Vice President for Industrial and Governmental Activities

The IEEE Computational Intelligence Society (CIS) is seeking nominations for the position of the Vice President for Industrial and Governmental Activities (2022-2023).

Eligibility requirements are defined in the CIS Bylaws, ARTICLE XIV – NOMINATIONS, ELECTIONS AND APPOINTMENTS.
The nominations will close 9 June 2021.

For more information on eligibility, submission requirements, and deadlines please visit our website for the official call for nominations.

CIS Nominations Committee 

 
 
 
 

Proposals to Organize CIS Flagship Conferences in 2024

We are looking for organizers for the IEEE CIS World Congress on Computational Intelligence (WCCI) and the IEEE CIS Symposium Series in Computational Intelligence (SSCI), both to take place in 2024. The proposals must be submitted by 10 June, 2021 (hard deadline). Please inform Marley Vellasco (marley@ele.puc-rio.br) and Gui DeSouza (DeSouzaG@missouri.edu) of your intention to prepare a bid as soon as you decide to do so. Policies, procedures and budget worksheet for such proposals are available on our website.

Also, if you want to get involved in the organization of new or current CIS conferences, or if your industry wants to get involved in the CIS conferences in general or any particular one (e.g., co-sponsor, set booths, etc), please also contact Marley Vellasco (marley@ele.puc-rio.br) and Gui DeSouza (DeSouzaG@missouri.edu). The CIS sponsors eleven small conferences and five mid-to-large conferences in topics ranging from CI in cyber security and defense, to smart world and robotics, not to mention the fundamentals of CI. For a list of past and upcoming CIS conferences, please check our conference calendar and keep in mind that the deadline for submitting proposals for small CIS conferences in 2023 is 30 September, 2021.

 
 
 
 
Research Frontier
 
 
 
 

A Framework of Hybrid Force/Motion Skills Learning for Robots

human and robot interactionHuman factors and human-centered design philosophy are highly desired in today's robotics applications such as human-robot interaction (HRI). Several studies showed that endowing robots of human-like interaction skills can not only make them more likeable but also improve their performance. In particular, skill transfer by imitation learning can increase the usability and acceptability of robots by users without computer programming skills. In fact, besides positional information, muscle stiffness of the human arm and contact force with the environment also play important roles in understanding and generating human-like manipulation behaviors for robots, e.g., in physical HRI and teleoperation. To this end, we present a novel robot learning framework based on dynamic movement primitives (DMPs), taking into consideration both the positional and contact force profiles for human-robot skills transferring. Read More

IEEE Transactions on Cognitive and Developmental Systems, March 2021

 
 
 
 

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety


face recognition technology concept illustration of big data and security in city with crowdIn this paper, we propose a novel human crowd detection method that uses deep convolutional neural networks for drone flight safety purposes. The first contribution of this paper is to provide lightweight architectures, as restricted by the computational capacity of the specific application, capable of effectively distinguishing between crowded and non-crowded scenes from drone-captured images, and provide crowd heatmaps which can be used to semantically enrich the flight maps by defining no-fly zones. Read More


IEEE Transactions on Emerging Topics in Computational Intelligence, April 2021

 
 
 
 

Learning Target-Domain-Specific Classifier for Partial Domain Adaptation


knowledge transfer word cloud shape conceptUnsupervised domain adaptation (UDA) aims at reducing the distribution discrepancy when transferring knowledge from a labeled source domain to an unlabeled target domain. Previous UDA methods assume that the source and target domains share an identical label space, which is unrealistic in practice since the label information of the target domain is agnostic. This article focuses on a more realistic UDA scenario, i.e., partial domain adaptation (PDA), where the target label space is subsumed to the source label space. In the PDA scenario, the source outliers that are absent in the target domain may be wrongly matched to the target domain (technically named negative transfer), leading to performance degradation of UDA methods. This article proposes a novel target-domain-specific classifier learning-based domain adaptation (TSCDA) method. Read More


IEEE Transactions on Neural Networks and Learning Systems, May 2021

 
 
 
 

Can Transfer Neuroevolution Tractably Solve Your Differential Equations?


a blackboard full of equations written in chalkThis paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the residual terms from the differential equations. Recent studies have focused on learning such physics-informed neural networks through stochastic gradient descent (SGD) variants, yet they face the difficulty of obtaining an accurate solution due to optimization challenges. In the context of solving differential equations, we are faced with the problem of finding globally optimum parameters of the network, instead of being concerned with out-of-sample generalization. Read More


IEEE Computational Intelligence Magazine, May 2021

 
 
 
 

Hardware-in-the-Loop Test of an Open-Loop Fuzzy Control Method for Decoupled Electrohydraulic Antilock Braking System


White SUV emergency braking to avoid car crash.
 Night scene.
 3D rendering image.To verify the functionality of an intelligent open-loop fuzzy-logic-based antilock braking system control method for four on-board motor drive electric sport utility vehicle, a hardware-in-the-loop experiment is conducted in this article. The experimental facility includes a novel decoupled electrohydraulic brake test bed characterized by highly nonlinear dynamics and time-varying behavior. It reproduces real pressure dynamics of the brake circuit allowing for simulation of various tire–road adhesions conditions and brake blending scenarios. To cope with degradation of antilock braking system performance induced by unexpected changing environmental conditions, such as road surface, the developed fuzzy control features a very simple yet effective and robust road surface recognition tool with estimation of the peak braking demands. Read More


IEEE Transactions on Fuzzy Systems, May 2021

 
 
 
 

Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game


Close up cropped photo of girl hands using her laptop for taking part in online poker tournamentChurn describes customer defection from a service provider. This can be observed in online freemium games, where users can leave without further notice. Game companies are looking for methods to detect and predict churn to enable management reaction. The recorded data of games can be analyzed for this purpose. In this article, we conducted a case study based on data from the freemium game The Settlers Online. Churn detection was achieved by application of four different labeling approaches, based on common churn and disengagement definitions within the game analytics literature. Read More


IEEE Transactions on Games, March 2021

 
 
 
 
Member Activities
 
 
 
 

Meet IEEE CIS Members



Meet: Alessandro Liani, Industry Liaison Committee Member



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


I am Video Systems SME co-founder (1993), R&D Manager (since 1998) and CEO (since 2005).

I’m working on machine vision, AI, IoT and robotics to solve product quality and process management in the manufacturing sector.



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


I have been a CIS member since 2013, I have introduced machine learning development in my company since 2001 and over the years we have grown in this field by applying it to quality control and process control in the manufacturing sector. At IEEE, I found a real and stimulating place to grow my know-how. When I became more interested in the biological approach for solving application problems that I was studying on my work, I found in CIS a new point of reference to grow further.


What Computational Intelligence Society committee do you serve?


I start this year serving Industry Liaison sub-committee.


What are some of the challenges you've faced as a volunteer?


In general, within IEEE, it is my intention to encourage dialogue between the academic and business world, bringing my European SME experience. Encourage SMEs to actively participate in the life of the association, explain the advantages in training and networking that IEEE can give to small and medium-sized businesses. Specifically, in IEEE-CIS involves companies in research activities and stimulates the dialogue between basic and applied research to face the enthusiastic challenges that this new millennium is facing us.


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


Since becoming an IEEE Member,  I have developed my training path thanks to the tools made available to members and I find it an essential aspect and a great opportunity for growth for professionals and in particular for SMEs. Networking was also an interesting aspect and certainly the dissemination and new trends and technologies part was and will be one of the most important aspects of being a member.


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


For me, being a volunteer at IEEE is a new experience that is thrilling me. Certainly the fact of being able to dialogue with students, academics and other entrepreneurs is one of the most rewarding and interesting aspects. When I was studying and at the same time working in my company I realized this luck, every day I came home from a lesson with something new that I would need immediately in my work. I believe it is really important to give students the opportunity to try their hand at real problems and better understand what they are being taught. For this reason, in my associative activity I stimulate this model of dialogue.


I believe we are lucky to live in this technological and growing era and we have in front of us big challenges for a more green environment, climate change management and other challenges.


I think all of the people that are engaged in technological and social growth, entities like IEEE, and other scientific, technology and industrial associations have a duty to do their best for a better world.


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


Thanks to the example of my father, since I was a child I have been passionate about technology and in particular information technology and electronics. Robots have always been my passion and I think I am a very lucky man to be able to work with the things that I am most passionate about. I deal with AI and machine vision every day and my dream is to be able to give my contribution to space missions and in particular those on Mars, maybe my dream will come true.

 
 
 
 

Live Webinar

Explainable Fuzzy Systems

Date: Thursday, 24 June 2021
Time: 11:00 AM - 12:00 PM EDT

Abstract:

Would you like to know how fuzzy systems are contributing to the emergent and multidisciplinary research field of Explainable Artificial Intelligence (Explainable AI or just XAI for short)?

We will have the chairs of the IEEE-CIS Task Force on Explainable Fuzzy Systems telling you all about how to pave the way from interpretable fuzzy systems toward XAI systems.
 
 
 

Featured Speakers

 

Jose M Alonso

Jose M. Alonso

Corrado Mencar

Corrado Mencar 


 
 
 
 
 

Live Webinar

From Learning to Deep Learning

Date: Saturday, 3 July 2021
Time: 12:30 AM - 1:30 AM EDT

Abstract:

In this talk we provide a walk through the development of machine learning, encompassing simple supervised and unsupervised learning, followed by neural learning. Finally this culminates in the development and promise of deep learning and transfer learning. Illustrative examples serve to explain.
 
 
 

Featured Speaker

 
Sushmita Mitra
Sushmita Mitra


Sushmita Mitra is a full professor at the Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata.

 
 
 
 
 

Live Webinar

Randomization-based deep and shallow learning algorithms for pattern classification

Date: Sunday, 15 August 2021
Time: 12:00 AM - 1:30 AM EDT

Abstract:

This talk will first introduce the main randomization-based feedforward neural networks. The talk will also consider computational complexity with increasing scale of the classification problems. Another randomization-based paradigm is the random forest which exhibits highly competitive performances. The talk will also present extensive benchmarking studies using classification datasets.

 
 
 

Featured Speaker

 
Dr P N Suganthan
Dr P.N. Suganthan


Dr P. N. Suganthan is a founding co‐editor‐in‐chief of Swarm and Evolutionary Computation (2010 ‐ Present), an SCI Indexed Elsevier Journal.

 
 
 
 
 
Educational  Activities
 
 
 
 

Calls for Competition Submissions

With the IEEE Conference on Games around the corner, we would like to promote the many interesting competitions it offers. The following competitions are open for submissions:

  • AI Snakes 2021 Competition 
  • AI Space Invaders 2021 Competition
  • Bot Bowl III Competition
  • Carle's Game Competition
  • ColorShapeLinks AI Competition
  • Dota 2 5v5 AI Competition
  • Fighting Game AI Competition
  • General Strategy Game AI Competition
  • General Video Game AI: Single-Player Learning Competition
  • Tactile Games Playtest Agent Competition
  • Ludii AI Competition
  • MicroRTS Competition
  • Starcraft AI Competition
  • Strategy Card Games AI Competition
  • 6th Angry Birds Level Generation

The IEEE CIS Competitions Subcommittee is actively funding competition prizes for some of the competitions above. Further information on all the competitions and their respective submission deadlines can be found on the 3rd IEEE Conference on Games website

 
 
 
 
Technical Activities 
 
 
 
 

CIS UK & Ireland Chapter is co-sponsoring a prestige lecture with RAS Chapter: Speaker Prof. Huiyu Zhou (University of Leicester, UK), title Transform Image Understanding with Artificial Intelligence, Date: 1st July 2021.


CIS UK & Ireland Chapter is a technical co-sponsor for the 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2021), 25-27 November 2021, Manchester, UK

 
 
 
 
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 https://cis.ieee.org/volunteer-resources/covid-19-notice as our organizers make decisions.
 
 

Call for Tutorials and Special Sessions


* Denotes a CIS-Sponsored Conference

∆ Denotes a CIS Technical Co-Sponsored Conference


* 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2021)

18-20 June 2021

Place: Virtual

General Co-Chairs: Yong Hu, Guanglin Li, Angelo Genovese 

Website: https://civemsa2021.ieee-ims.org/

 

* 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)

28 June - 1 July 2021

Place: Virtual (Kraków, Poland)

General Co-Chairs: Jacek Mańdziuk and Hussein Abbass

Website: https://cec2021.mini.pw.edu.pl

Will be a virtual conference

 

* 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)

11-14 July 2021

Place: Virtual (Luxembourg, Luxembourg)

General Co-Chairs: Christian Wagner and Holger Voos

Website: https://attend.ieee.org/fuzzieee-2021/

Will be a virtual conference



* 2021 IEEE International Conference on Development and Learning (ICDL)

23-26 August 2021

Place: Beijing, China

General Co-Chairs: Dingsheng Luo and Angelo Cangelosi

Website: https://icdl-2021.org



* 2021 IEEE Conference on Games (IEEE CoG 2021)

17-20 August 2021

Place: Virtual (Copenhagen, Denmark)

General Co-Chairs: Miguel Sicart & Paolo Burelli

Website: https://ieee-cog.org/2021/index.html


∆ 2nd International Conference on Industrial Artificial Intelligence (IAI2021)

20-22 August 2021

Place: Shenyang, China

General Chair: Yaochu Jin

Website: TBC



∆ 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2021)

25-27 August 2021

Place: Hyderabad, India

General Chair: Atul Negi, Naresh Mallenahalli, Akira Hirose

Website: http://ietcint.com


∆ 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: Virtual (Porto, Portugal)

General Co-Chairs: João Gama & Francisco Herrera

Website: https://dsaa2021.dcc.fc.up.pt/


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

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

Website: http://ieeesmartworld.org/


∆ 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

Website: TBA

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

Website: http://www.acait.cn/

 

∆ 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 

Website: https://icpmconference.org/2021/

 

* 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)

2-4 November 2021

Place: Temuco, Chile

General Co-Chairs: Millaray Curilem and Doris Saez

Website: http://la-cci.org/


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

4-5 November 2021

Place: Virtual

General Chair: Phivos Mylonas

Website: https://hilab.di.ionio.gr/smap2021/


  

* 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

Website: https://attend.ieee.org/ssci-2021/

 
 
 
CIS sponsors and co-sponsors a number of conferences across the globe. 
 
 
 
 
 
 
Editor Bing Xue
Victoria University of Wellington, New Zealand
Email: Bing.Xue@ecs.vuw.ac.nz

 
 
 
 
 
 
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