June 7, 2017

Call for Workshops

WCCI 2018 Call for workshops

The IEEE WCCI 2018 organizing committee invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. We strongly encourage the workshop organizers to make their workshops highly interactive, and include discussions, Q& A and panel sessions to facilitate a lively exchange of ideas among the attendees.

Workshops can take on a number of forms including but not limited to being organized around emerging research areas, challenging problems and industrial applications. Workshops may include, for example – but not limited to – tutorials, keynote / invited speakers, contributed papers and presentations, panel discussions, even mini competitions if appropriate for the content. Organizers of accepted workshops are expected to prepare a workshop website and call for papers, publicize the workshop, gather submissions, conduct the reviewing process and decide upon the final workshop program. They must also prepare an informal set of workshop proceedings to be distributed with the registration materials at the conference. They may choose to form organizing or program committees for assistance in these tasks.

Workshops can be half or full day events depending on the scope and the content of the workshop.


Proposal Details

Proposals are limited to no more than five pages and should contain the following information:

  •  Organizers (names, affiliations and email addresses; identify one person as the primary contact person)
  •  Description of the workshop: abstract, objectives, goals, relevance to IEEE WCCI, and expected outcomes
  •  Motivation for why a IEEE WCCI workshop on this topic is needed
  •  Description of target audience and estimated number of participants
  •  Workshop duration, format, activities, and schedule
  •  List of committed program committee members
  •  Preliminary list of invited speakers (if any)
  •  Short biographical sketch for each organizer, describing relevant qualifications and experience


If this workshop has been held previously, then the organizers should indicate this and describe briefly past attendance and outcomes, and why another workshop is needed. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below:

Richard Duro – Richard@udc.es

Robi Polikar – polikar@rowan.edu 


Proposal Evaluation Criteria

All workshop proposals will be reviewed based on the following considerations:

  •  Relevance of the workshop to the scope of the main event
  •  The workshop concerns a coherent and important technical topic of high interest in the community
  •  Novelty with respect to other forums, especially with respect to other IEEE WCCI 2016 workshops
  •  Likely impact on the target community, including likelihood of strong participation
  •  Confirmation to serve as program committee members from high-caliber and well respected researchers
  •  Confirmation of a well-respected keynote speaker or a tutorial presenter
  •  Letters of support from colleagues / researchers indicating their interest and intent to participate in this workshop.

PDF File


Computational Intelligence and Smart Cities

Vitor Nazário Coelho (vncoelho@gmail.com), Igor Machado Coelho (igor.machado@ime.uerj.br)

Ethics and Social Implications of Computational Intelligence

Matthew Garratt (m.garratt@adfa.edu.au) , Chuan-Kang Ting (ckting@cs.ccu.edu.tw), Keeley Crockett (K.Crockett@mmu.ac.uk)

Description of the workshop:

Today, Computational Intelligence (CI) techniques are embodied within many technologies. For example, Fuzzy Control is a central piece within most control systems for technologies such as washing machines. Deep Neural Networks are sitting today on most smart phones offering search-by- image capabilities. Evolutionary Computation is creating a leap forward in industry and robotics when coupled with 3D printing that allows evolved robots to come to life quickly and with low cost. CI researchers excel in designing and implementing these technologies to create significant positive impact on the economy and human society as a whole. It is incumbent upon us as socially-responsible CI researchers to understand the ethical and social implications of the technologies we create and champion.

The objective of the proposed workshop is to discuss the ethical and moral principles that govern the behaviour of CI technology, as well as the designer. These principles should cover the following: balancing the ecological footprint of technologies against the economic benefits; managing the impact of automation on the workforce; ensuring privacy is not adversely affected; and dealing with the legal implications of embodying CI technologies in autonomous systems. As the largest technical event in the field of CI, WCCI provides an ideal forum for discussion of these issues. Topics of interest include but are not limited to:

  • Potential impact of CI on the human workforce and distribution of wealth
  • Potential impact of CI on privacy
  • Possible bias in CI systems (e.g. can a deep neural network trained to detect lying
    from spoken language be more likely to get a false positive results for one racial
    group more than another)
  • Safety of CI systems embedded in autonomous and automated systems (e.g.
    autonomous vehicles, nuclear power plant control systems)
  • Human-machine Trust in CI Systems
  • Specific applications of CI and the potential ethical/social benefits and risks (e.g.
    Marking of student assignments, assessment of legal documents, automated decision
    making in the stock market, medical research)
  • Legal implications of CI (e.g. legal liabilities when things go wrong; how do you
    certify systems that can ‘learn’ from their environment etc)
  • Need and direction for developing formal standards in ethics for CI
  • Public perception of CI
  • Impact of CI on human cognition and social relatedness

Outcomes for the workshop will include identification of the highest priority areas for future research in this field and potential directions for future activities. Presentations and discussions at this workshop will inform a task force discussion paper following the workshop.


An IEEE WCCI workshop on this topic is needed to help identify the main ethical and social issues confronting the widespread implementation of CI. CI can provide great benefits to society but also will introduce some challenges. For example, are CI systems used for marking student assignments capable of bias? Moreover, is the current legal framework capable of dealing with the repercussions of decisions made by CI systems on matters such as finance, medical treatments or autonomous vehicle collision avoidance. The answers to many of these questions are in many cases unknown, and can vary based on global cultural, political and business contexts. We would like to discuss solutions to some of these challenges, what safeguards might be required (both technologically and legally) and how we can better present the benefits of CI to the wider community.

Workshop duration, format, activities, and schedule

Workshop duration: 4 Hours

Format: We would like to allocate one hour to keynote presentation(s), approximately 2.5
hours for presentation of accepted papers and 30 minutes for a panel discussion.
Papers will be limited to 15 minutes each with a 5-minute discussion after each paper.
The final panel discussion will be used to summarise the issues, determine future aims of the
related task force and plan future activities in this area. The panel will consist of selected
members of the organising committee and keynote speakers.

Advances in Learning from/with Multiple Learners (ALML)

Matei Basarab(matei@lipn.univ-paris13.fr); Guénael Cabanes (guenael.cabanes@lipn.univ-paris13.fr)

Intelligent Assistive Computing

Pablo Barros (barros@informatik.uni-hamburg.de), Francisco Cruz (francisco.cruz@ucentral.cl), Bruno Fernandes (bjtf@ecomp.poli.br)


Assistive technologies have the goal to provide greater quality of life and independence in domestic environments by enhancing or changing the way people perform activities of daily living (ADLs), tailoring specific functionalities to the needs of the users. Significant advances have been made in intelligent adaptive technologies that adopt state-of- the-art learning systems applied to assistive and health-care- related domains. Prominent examples are fall detection systems that can detect domestic fall events through the use of wearable physiological sensors or non-invasive vision-based approaches, and body gait assessment for physical rehabilitation and the detection of abnormal body motion patterns, e.g., linked to age-related cognitive declines. In addition to an adequate sensor technology, such approaches require methods able to process rich streams of (often noisy) information with real-time performance. In this workshop, we aim at collecting novel methods, computational models, and experimental strategies for intelligent assistive systems such as body motion and behavior assessment, rehabilitation and assisted living technologies, multisensory frameworks, navigation assistance, affective computing, and more accessible human-computer interaction.

This workshop is scheduled to have a half-day format with invited talks from well-known researchers in the field of intelligent assistive computing and a call for contributed papers. Each speaker will give a 30-minute talk including 10 minutes to answer questions from the audience. We will be accepting abstracts and extended abstracts as contributions. The submitted abstracts will be reviewed by our confirmed program committee members. A number of selected papers will be presented during the workshop as posters and each author will have a 2-minute poster spot-talk. Three selected contributions will be invited to give a 10-minute oral presentation (including questions). Finally, a discussion session will be held at the end of the workshop with all the participants.


Assistive technology has been the focus of research in the past decades. However, it flourished in the past years with the fast development of personal robots, smart homes, and embedded systems. The focus of this workshop is to gather neural network researchers, both with application and development focus, working on or being interested in building and deploying such systems. Despite the high impact and application potential of assistive systems for the
society, there is still a significant gap between what is developed by researchers and the applicability of such solutions in real-world scenarios. This workshop will discuss how to alleviate this gap with help of the latest neural network research such as deep, self-organizing, generative and recurrent neural models for adaptable lifelong learning applications.

Target Audience

The expected audience to the workshop is mainly computer scientists working on areas related to intelligent learning with special interest in developing assistive applications in different domains. The workshop will bring together outstanding researchers along with graduate students to share the main latest contributions assistive intelligent computing. We hope to provide the opportunity to discuss fundamental current issues to be addressed in order to leverage current assistive applications as well as future research directions.

Based on the previous organization of and attendance to similar events and the specific topic, we expect to have an attendance of around 50 persons.

Confirmed Invited Speakers

Prof. Dr. Stefan Wermter, Universität Hamburg, Germany
Prof. Dr. Igor Farkas, Centre of Cognitive Science, Comenius University, Slovakia
Prof. Dr. Giulio Sandini, Italian Institute of Technology, Italy

Workshop duration, format, activities, and schedule

Duration: Half-day workshop
Activities: Invited talks, contribution spot talks, poster session, and discussion panel.
Schedule: A tentative program for this workshop is as follows:

Time Activity

09:00 – 09:15 Welcome and introduction
09:15 – 9:45 Invited speaker 1
09:45 – 10:15 Invited speaker 2
10:15 – 10:45 Contribution talks
10:45 – 11:00 Poster spot talks
11:00 – 11:30 Poster Session and Coffee Break
11:30 – 12:00 Invited speaker 3
12:00 – 12:30 Discussion panel and closure

Computational Energy Management in Smart Grids

Stefano Squartini (s.squartini@univpm.it) , Derong Liu (derongliu@gmail.com), Francesco Piazza ( f.piazza@univpm.it) ; Dongbin Zhao (dongbin.zhao@ia.ac.cn); Haibo He (he@ele.uri.edu)


The sustainable usage of energy resources is actually an issue that humanity and technology have been seriously facing in the last decade, as a consequence of the increasing energy demand and the dependence on oil- based fuels. This shoved scientists and technicians worldwide to intensify their studies on renewable energy resources, especially in the Electrical Energy sector. At the same time, a remarkable increment in complexity of the electrical grid has been also registered, due to the need of integrating variegated and distributed generation and storage sites, resulting in strong engineering challenges in terms of energy distribution, management and system maintenance. Many sophisticated algorithms and systems aimed at introducing intelligence within the electrical energy grid have already appeared in the recent scientific literature, accompanied by some effective market products.

The different needs coming from heterogeneous grid customers, at diverse operating levels, and the different peculiarities of energy sources to be included in the grid itself, make the task challenging and multi-faceted.

Moreover, a large variety of interventions can be applied into the grid to increase the inherent degree of automation, optimal functioning, security and reliability. All these aspects must be seen from the raising Transactive Energy and Energy Internet perspectives, according to which advanced ICT solutions are employed to coordinate and optimize the complex interactions between producers and consumers on distributed energy networks.

In the light of this analysis, a multi-disciplinary coordinated action is therefore required to the Electrical and Electronic Engineering, Computational Intelligence, Digital Signal Processing and Telecommunications scientific communities, taking the stringent environmental sustainability constraints into account. Focalizing to the interests of our scientific community, the organizers of this Workshop wants to explore the new frontiers and challenges within the Computational Intelligence research area, including Neural Networks and Evolutionary Computation based solutions, for the optimal usage and management of energy resources in Smart Grid scenarios.

Indeed, the adoption of distributed sensor networks in many grid contexts enabled the availability of data to be used to develop suitable expert systems with the aim of supporting the humans in dealing with the complex problems in grid management, as mentioned above. Research in this field is undoubtedly already florid, but many open issues need to be addressed and innovative intelligent systems investigated.

By moving from the success obtained by the CEMiSG2014 Workshop organized within the IJCNN2014 conference in Beijing (China), by the CEMiSG2015 Workshop organized within the IJCNN2015 conference in Killarney (Ireland), by the CEMiSG2016 Workshop organized within the IEEE CEC2016 in Vancouver (Canada), by the CEMiSG2017 Workshop organized within the IEEE CEC2017 in San Sebastian (Spain), the intention is to propose a proficient discussion table for scientists joining the IEEE WCCI 2018 conference: a fifth International Workshop, specifically targeted to these topics, surely represents a great opportunity from this perspective.


  • Workshop topics include, but are not limited to:Computational Intelligence for Smart Grids Applications
  • Neural Networks for Complex Energy Systems
  • Soft Computing based Algorithms for Transactive Energy
  • Expert Systems for Smart Grid Optimization
  • Computational methods for the Energy Internet
  • Transactive Control strategies in Power System Operations
  • Smart Grids and Big Data
  • Automatic Fault Detection Algorithms in Smart Grids
  • Smart Grid Self-Healing strategies
  • Learning-based Control of Renewable Energy Generators
  • Smart Building Energy Management
  • Collaborative Algorithmic solutions for Demand-side Management
  • Deep Learning for Energy Efficiency
  • Energy Resource Allocation and Task Scheduling
  • Learning Systems for Smart AMIs
  • Time Series Prediction in Smart Grids
  • Non-Intrusive Load Monitoring
  • Hybrid Battery Management
  • Algorithms for Electric Vehicles Integration in the Smart Grid

Workshop details

The 5 th International Workshop on Computational Energy Management in Smart Grids (CEMiSG 2018) will be held on July 8-13, 2018 in Rio de Janeiro,

Brazil, as inside the 2017 IEEE Congress on Evolutionary Computation (IEEE WCCI 2018).

Important Dates

Submission deadline: January 15, 2018
Notification of acceptance: March 15, 2018
Camera-ready deadline: May 1, 2018
Workshop date: to be defined within the IEEE WCCI 2018 dates (July 08-13,

Submission guidelines

Prospective authors are invited to submit papers according to the IEEE format. All submissions should be according to the specifications of IEEE WCCI 2018.

CEMiSG2018 Website

A dedicated website has been developed. The URL is the following:
http://www.cemisg.org/cemisg2018/. The website has not been published yet:
this will be done if and once the proposal is accepted.

Workshop Program

    • Audience: Scientists and technicians working in the Computational Intelligence field and interested in applications to Smart Grids. The estimated number of participants is equal to 30-40 people.
    • Duration: 1 Day
    • Format: 20-mins long oral presentations will be given during the Workshop
    • Activities and Schedule: 2 regular sessions (2 hours each – we expect to have 10-15 presentations) and 1 Panel Session (1 hour). A Keynote (1 hour) will be likely included.
    • Panel Session: It is titled “Challenges and Trends in Computational Energy Management”, and it will moderated by the CEMiSG2018 Organizers. The following scientists have already confirmed their participation to the panel:


o Prof. N Kumarappan, Annamalai University, India
o Dr. Zhen Ni, South Dakota University, USA
o Prof. Antonello Rizzi, La Sapienza University, Italy
o Prof. Kumar Venayagamoorthy, Clemson University, USA

Neuromorphic Hardware in Practice and Use

Craig M. Vineyard (cmviney@sandia.gov), William M. Severa (wmsever@sandia.gov);  Kristofor D. Carlson (kcarlson@brianchipinc.com)

Website: http://neuroscience.sandia.gov/research/wcci2018.html

Description of the workshop


This workshop is designed to explore the current advances, challenges and best practices for working with and implementing algorithms on neuromorphic hardware. Despite growing availability of prominent biologically inspired architectures and corresponding interest, practical guidelines and results are scattered and disparate. This leads to wasted repeated effort and poor exposure of state-of- the-art results. We collect cutting edge results from a variety of application spaces providing both an up-to- date, in-depth discussion for domain experts as well as an accessible starting point for newcomers.

Goals & Objectives

This workshop strives to bring together algorithm and architecture researchers and help facilitate how challenges each face can be overcome for mutual benefit. In particular, by focusing on neuromorphic hardware practice and use, an emphasis on understanding the strengths and weaknesses of these emerging approaches can help to identify and convey the significance of research developments. This overarching goal is intended to be addressed by the following workshop objectives:
1) Explore implemented or otherwise real-world usage of neuromorphic hardware platforms
2) Help develop 'best practices' for developing neuromorphic-ready algorithms and software
3) Bridge the gap between hardware design and theoretical algorithms
4) Begin to establish formal benchmarks to understand the significance and impact of neuromorphic

Relevance to IEEE WCCI

IJCNN covers a wide range of topics in the field of neural networks and neural computation. In recent years, these topics have expanded to include biologically inspired hardware implementation research as well. The rapidly evolving need for hardware accelerators to enable the algorithmic and theoretical advances being made by WCCI attendees and participants also necessitates an understanding of how the interplay of algorithms and architectures in the form of neuromorphic computation is advantageous. A better understanding of the algorithm and architecture interplay also allows for the development of meaningful benchmarking which can further highlight the significance of research advances. We expect three primary groups to comprise the audience.

1) Neuromorphic Hardware Experts: Recently a new field of neuromorphic platforms has become available, either at prototype or release stages. These platforms originate from a variety of groups within industry, academia and government. Hardware designers and platform stakeholders have a keen interest in early adoption, algorithms and applications as well as comparative and case studies.
2) Spiking Neural Network Algorithm Designers: As is evidenced by the growing presence of spiking neural networks at conferences such as IJCNN, biologically inspired spiking neural networks offer new and expanding capabilities. However, these algorithms are rarely designed following particular hardware constraints, and this creates a challenge when implementing the algorithms in practice. By expounding on neuromorphic implementations of spiking networks, algorithm designers stand to expand both utility and practicality.
3) Low-Power and Embedded Application Spaces: Neuromorphic platforms offer compelling improvements in performance-per- Watt. However, these numbers are often vendor-supplied and rarely include difficulties involved with algorithm porting. This workshop will offer a true- to-life story of the process, benefits and pitfalls of using neural networks on these up-and- coming platforms.

Scope and Topics:

Neuromorphic hardware; benchmarks and comparisons; applications, software, and toolkits; algorithms; workflows and integration

Workshop duration, format, activities, and schedule

This half day workshop will consist of a brief overview of the various approaches to neuromorphic computation and motivate the need for applied results and benchmarks to properly characterize the significance of such approaches. Following the introduction will be a series of talks interleaving invited keynote speakers and contributed talks. A poster and demonstration session will conclude the session while encouraging discussion amongst the participants.

13:00 – 13:20 Welcome and Opening Overview Talk
13:20 – 13:50 Invited Talk
14:00 – 14:20 Contributed talk
14:20 – 14:40 Contributed talk
14:40 – 15:00 Contributed talk
15:00 – 15:15  Break
15:15 – 15:45 Invited Talk
15:45 – 16:00 Contributed talk
16:00 – 16:15 Contributed talk
16:15 – 16:30 Contributed talk
16:30 – 17:00 Invited Talk
17:00 – 17:30 Posters & Demonstrations

Submission Guidelines and Timeline

The workshop requests submissions to follow IEEE conference style similar to the main conference. Papers should be submitted in pdf format with a maximum length of 2 pages (excluding references and acknowledgements). Appendices are not permitted beyond the 2 page limit. Submissions will be selected according to reviewer's comments and scoring with emphasis on quality, novelty, appropriateness for the workshop and potential impact on the field.

30 April 2018 Workshop submission deadline
1 May 2018 Submissions sent to reviewers
10 May 2018 Decisions sent to submission authors