Tuesday 29 May 2018

IEEE Transactions on Evolutionary Computation, Volume 22 Issue 3, June 2018

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Author(s): Clara Pizzuti
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Thursday 24 May 2018

CFP: IEEE Congress on Evolutionary Computation (CEC 2019)

The annual IEEE Congress on Evolutionary Computation is one of the leading events in the area of evolutionary computation. It covers all topics in evolutionary computation including, but not limited to the following areas:

  • Artificial life
  • Agent-based systems
  • Artificial immune systems
  • Bioinformatics and bioengineering
  • Coevolution and collective behavior
  • Combinatorial and numerical optimization
  • Constraint and uncertainty handling
  • Cognitive systems and applications
  • Computational finance and economics
  • Estimation of distribution algorithms
  • Evolvable adaptive hardware and systems
  • Evolutionary data mining
  • Evolutionary design
  • Evolutionary learning systems
  • Evolutionary game theory
  • Evolutionary multi-objective optimization
  • Evolutionary scheduling
  • Industrial applications of EC
  • Particle Swarm Optimization
  • Representation and operators

IEEE CEC 2019 is a world-class conference that brings together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions, as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking events to establish new connections and foster everlasting friendship among fellow counterparts.

Further Information: http://www.cec2019.org/

Wednesday 23 May 2018

Call for Participation: Competitions at IEEE CIG 2018 (Jul 15)

Computer games offer not only a killer application for computational intelligence (CI), machine learning and search, but also provide a compelling domain in which problem solving and decision making meet artifact creation, to provide highly immersive, complex and rich interaction experiences.

Additionally, CI methods promise to have a huge impact on game technology and development, assisting designers and developers, and enabling new types of games.

The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry, to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (IEEE CIG) is one of the premier international conferences in this exciting and expanding field.

The topics of interest include, but are not limited to:

Machine-learning in games
Adversarial search
Player/opponent modeling
AI in education
Emotion recognition in game-play
CI/AI-based game design
Affective modeling
Player experience
Procedural content generation
Game generation
Intelligent interactive narrative
Character development and narrative
CI/AI for virtual cinematography
Multi-agent and multi-strategy learning
Applications of game theory
General game playing
Serious games

Further information: https://project.dke.maastrichtuniversity.nl/cig2018/

Tuesday 22 May 2018

Call for Participation: IEEE World Congress on Computational Intelligence (IEEE WCCI 2018), Rio de Janeiro, Brazil (Jul 8-13)

The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2018 will host three conferences: The 2018 International Joint Conference on Neural Networks (IJCNN 2018), the 2018 IEEE International Conference on Fuzzy Systems (FUZZ- IEEE 2018), and the 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence.

IEEE WCCI 2018 will be held at the Windsor Barra Convention Centre, Rio de Janeiro, Brazil. Rio de Janeiro is a wonderful and cosmopolitan city, ideal for international meetings. Rio boasts fantastic weather, savory cuisine, hospitable people, and modern infrastructure. Rio is the first city to receive the Certificate of World Heritage for its Cultural Landscape, recently conferred by UNESCO.

IJCNN is the flagship conference of the IEEE Computational Intelligence Society and the International Neural Network Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.

FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.

IEEE CEC is a major event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.

The highlights of the Congress include:

Apart from the technical program, participants are also cordially invited to attend various social events that will include welcome reception and conference banquet. In addition, participants are also encouraged to explore the beautiful city of Rio de Janeiro which has an endless supply of attractions and things to see and do (http://www.ecomp.poli.br/~wcci2018/rio-de-janeiro-2/).

Friday 18 May 2018

GRSS Webinar: Information Extraction from Very High Resolution Satellite Imagery at Scale (June 15th)

Speaker: Nikki Aldeborgh
Date: June 15th, 2018, 3pm GMT


Abstract: This webinar will cover techniques that we've developed at DigitalGlobe to extract information from very high resolution satellite imagery using deep learning. I will discuss feature classification for diverse use cases such as settlement detection and property attribution, as well as semantic segmentation for the delineation of man-made features such as buildings. I will also describe the important challenges that are associated with building and deploying deep learning algorithms at the scale required by satellite imagery analytics applications, and the potential ways forward that we've identified.

Thursday 17 May 2018

IEEE CIS Webinar: Challenging the stigma surrounding the role of women in technology, a journey from combinatorial optimization to IBM (8th June)

Webinar Speaker: Dr Amy Khalfay, Early Career Researcher, IBM
Date: 8th June 2018 at: 15:00 BST

Abstract: This session will cover the role of females within the technology and wider STEM sector. Many people feel that you must have studied a certain degree, know a programming language, or prefer to work alone to be able to have a career in technology. This is not the case, these careers are open to everyone, from any background. During this session we will be exploring some of the misconceptions about careers within STEM, discovering the many types of roles and doing some myth busting. We will also discuss my personal journey to becoming a graduate technology consultant for IBM, my background of research and my commitment to ensure more females enter STEM careers.  My PhD, titled "Optimization heuristics for solving technician and task scheduling problems", focused on solving NP hard combinatorial optimization problems that arise in the real world and was sponsored by industry. The project enabled me to enhance my soft skills, write academically, learn to code and develop a deeper understanding of real world business problems and innovative ways to solve them.

Registration link: https://attendee.gotowebinar.com/register/41855499930987777

Webinar ID: 938-415-115

Dr Amy Khalfay is currently a graduate technology consultant for IBM, joining in October 2017. Prior to this Amy completed a BSc in Mathematics (2014) and a PhD in Operational Research (2017). Amy is also a committee member of IEEE Women in Engineering. Amy’s research area is combinatorial optimisation, solving NP hard scheduling problems. Areas of skill include Java, Statistical Analysis, Mathematical Modelling and Algorithm Design and Development. 

Wednesday 16 May 2018

Australasian Joint Conference on Artificial Intelligence (AI 2018) (Jul 1)

The Australasian Joint Conference on Artificial Intelligence is an annual conference that has dedicated to fostering research communication and collaboration among Australasian AI community since inception. The 31th Australasian Joint Conference on Artificial Intelligence will be hosted by Victoria University of Wellington, New Zealand in December 2018. The Program Committee invite prospective authors to submit original and previously unpublished research and application papers in all spectrums of Artificial Intelligence. The conference topics cover but are not limited to the following areas:
Prospective authors are invited to submit their original unpublished work to AI 2018. The topics of interest to this conference include but are not limited to the following:
  • Agent-based and multiagent systems
  • AI applications and innovations
  • Cognitive modelling and computer human interaction
  • Big data capture, representation and analytics
  • Commonsense reasoning
  • Computer vision and image processing
  • Constraint satisfaction, search and optimization
  • Data mining and knowledge discovery
  • Evolutionary computation and learning
  • Fuzzy systems and neural networks
  • Game playing and interactive entertainment
  • Intelligent education and tutoring systems
  • Knowledge acquisition and ontologies
  • Knowledge representation and reasoning
  • Machine learning and applications
  • Multidisciplinary AI
  • Natural language processing
  • Planning and scheduling, combinatorial optimisation
  • Uncertainty in AI
  • Visualisation in AI
  • Robotics
  • Game theory
  • Text mining and Web mining
  • Web/Social media mining
We encourage cross-boundary works contributing to theory and practice of AI. Novel application domains including cyber security, healthcare, IoT, social media and big data real-world applications are highly welcome. Submitted papers should not exceed 12 pages and should not be under review or submitted for publication elsewhere during the review period. All papers will be peer reviewed by at least three independent referees.
All papers accepted and presented at AI 2018 will be included in the conference proceedings published by the Springer Lecture Notes in Computer Science/Artificial Intelligence (LNCS/LNAI, pending to approval), which are typically indexed by Engineering Index (Compendex), ISI Proceedings/ISTP, and DBLP.

Submission page is here.

Tuesday 15 May 2018

Call for Participation: International Summer Camp on AI, Hefei, China (Jul 1-14)

    Artificial Intelligence (AI) has become an important engine for next ‘Cambrian of Civilization’, burst of knowledge and technology. Do you want to know the state of the arts of AI? Do you want to experience and touch by yourself the most advanced techniques of AI? Do you want to know the trend of AI in both academic and industry? Do you want to know all the above happened in China? Come to join us! This Summer Camp will bring you with excellent experience on both technology and culture. You may get some knowledge about why AI is so special in China, and why AIs in China are so special.
Further Information: http://scai.ustc.edu.cn/

CFP: International Conference on Neural Information Processing (ICONIP 2018) (Jun 1)

Sponsor: Asia Pacific Neural Network Society
Technical co-sponsors: International Neural Network Society, Japanese Neural Network Society

The 25th International Conference on Neural Information Processing (ICONIP 2018) will be held in Siem Reap, Cambodia during December 14 - 16, 2018, following the successes of previous events. Located near Siem Reap in northern Cambodia, Angkor Wat is one of the most important archaeological sites in South-East Asia, the largest religious monument in the world, and listed by UNESCO as a cultural heritage. ICONIP 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.

Call for Papers and Special Sessions

Prospective authors are invited to contribute high-quality papers to ICONIP2018. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers.
Researchers interested in organizing special sessions are invited to submit formal proposals to ICONIP2018. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information on the organizers.

Topic Areas

Topics of contributing papers include, but are not limited to, the following areas:

Neuroscience, connectionist theory, cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization, adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised learning, unsupervised learning, reinforcement learning, deep learning, brain imaging, neuroinformatics, bioinformatics, support vector machines, kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotics, intelligent control, telecommunications, transportation systems, intrusion detection and fault diagnosis, data mining, information security, financial engineering, business intelligence, Bayesian networks, sensory perception, motor control, social cognition, neuroeconomics, computational psychiatry, brain-machine interface, big data analysis, biomedical engineering, neuromorphic hardware implementation.

Paper Submission

Authors are invited to submit full-length papers (12 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted.
All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. The Proceedings will be published in the Springer’s series of Lecture Notes in Computer Science. Selected papers will be published in a special issue of an SCI

Important Dates

Special session proposals deadline - May 1, 2018
Paper submission deadline - June 1, 2018
Notification of acceptance - August 1, 2018

Camera-ready copy and author registration - September 1, 2018

Wednesday 9 May 2018

Call for Participation: General Video Game AI Competition at IEEE WCCI 2018 (Jun 6)

The GVG-AI Competition explores the problem of creating controllers for general video game playing. How would you create a single agent that is able to play any game it is given? Could you program an agent that is able to play a wide variety of games, without knowing which games are to be played? Can you create an automatic level generation that designs levels for any game is given?

In this website, you will be able to participate in the General Video Game AI Competition. You can now download the starter kit for the competition and submit your controller to be included in the rankings. For any question contact us.

Join our Google Group here for the latest updates. If you are interested in studying for a PhD in this area, you can have a look at our Centre for Doctoral Training. Also, consider joining our MSc in Computer Games.

Further Information: http://www.gvgai.net/index.php

Monday 7 May 2018

Call for Participation: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2018), Ottawa, Canada (Jun 12-14)

The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2018) is dedicated to all aspects of computational intelligence, virtual environments and human-computer interaction technologies for measurement systems and related applications.


Papers are solicited on all aspects of computational intelligence, human-computer interaction technologies, and virtual environments for measurement systems and the related applications, from the points of view of both theory and practice. This includes, but is not limited to, the following topics with specific emphasis on the measurement aspects:
  • Intelligent Measurement Systems
  • Human-computer Interaction
  • Augmented & Virtual Reality
  • Accuracy & Precision of Neural & Fuzzy Components
  • Accuracy & Precision of Virtual Environments
  • Perception, Neurodynamics, Neurophysiology, Psychophysics
  • Multimodal Sensing
  • Multimodal (Visual, Haptic, Audio, etc.) Virtual Environments
  • Sensors & Displays
  • Calibration and System Calibration
  • Multi-Sensor Data Fusion & Intelligent Sensor Fusion
  • Intelligent Monitoring & Control Systems
  • Neural & Fuzzy Technologies For Identification, Prediction, & Control of Complex Dynamic Systems
  • Evolutionary monitoring & control
  • Evolutionary Techniques For Optimization & Logistics
  • Neural & Fuzzy Signal/Image Processing For Industrial, Environmental & Domotic Applications
  • Neural & Fuzzy Signal/Image Processing For Entertainment & Educational Applications
  • Image Understanding & Recognition
  • Machine & Deep Learning for Intelligent Systems
  • Object Modeling
  • Object & System Model Validation
  • Virtual Reality languages
  • Computational Intelligence Technologies For Robotics & Vision
  • Computational Intelligence Technologies For Medical & Bioengineering Applications
  • Computational Intelligence For Entertainment & Educational Applications
  • Distributed Collaborative Virtual Environments
  • Model-Based Telecommunications & Telecontrol Hybrid Systems
  • Fuzzy & Neural Components For Embedded Systems
  • Hardware Implementation of Neural & Fuzzy Systems For Measurements
  • Neural, Fuzzy & Genetic/Evolutionary Algorithms For System Optimization & Calibration
  • Neural & Fuzzy Techniques For System Diagnosis
  • Reliability of Fuzzy & Neural Components
  • Fault Tolerance & Testing In Fuzzy & Neural Components
  • Neural & Fuzzy Techniques For Quality Measurement Standards
  • Human Machine Interaction


Rafik Goubran - Carleton University, Canada

Ana-Maria Cretu - Carleton University, Canada
Dalila Megherbi - University of Massachusetts Lowell, USA

Pierre Payeur -University of Ottawa, Canada
Sebastian Zug - Otto von Guericke University, Germany
Angelo Genovese - Università degli Studi di Milano, Italy

Gabriel Wainer - Carleton University, Canada

Thiago Eustaquio Alves de Oliveira - University of Ottawa, Canada
Ghazal Rouhafzay - Carleton University, Canada

Call for Participation: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2018), Missouri, USA (May 30-Jun 2)

May 30-June 2, 2018, Renaissance Hotel, Saint Louis, MO

This conference will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields. Computational Intelligence approaches include artificial neural networks, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques. Topics of interest include but are not limited to:

  • Gene expression array analysis
  • Structure prediction and folding
  • Molecular sequence alignment and analysis
  • Metabolic pathway analysis
  • RNA and protein folding and structure prediction
  • Analysis and visualization of large biological data sets
  • Motif detection
  • Molecular evolution and phylogenetics
  • Systems and synthetic biology
  • Modeling, simulation, and optimization of biological systems
  • Robustness and evolvability of biological networks
  • Emergent properties in complex biological systems
  • Ecoinformatics and applications to ecological data analysis
  • Medical imaging and pattern recognition
  • Medical image analysis
  • Biomedical data modeling and mining
  • Treatment optimization
  • Biomedical model parameterization
  • Brain computer interface

General Chair:
Donald Wunsch (USA)

Program Chair:
Daniel Ashlock (Canada)

Technical Co-Chairs:
Sheridan Houghten (Canada)
Wendy Ashlock (Canada)

Finance Chair:
Steven Corns (USA)

Tutorial Chair:
Joseph Brown (Russia)

Proceedings Chair:
Richard Allmendinger (UK)

Publicity Chair:
Sansanee Auephanwiriyakul (Thailand)
Sanaz Mostaghim (Germany)

Local Arrangements Chair:
Suzanna Long (USA)

Web Chair:
David Heise (USA)

Further information: http://www.cibcb.org/CIBCB2018/index.html

CFP: IEEE Smart World Congress (SmartWorld 2018) (May 15)

The 4th IEEE Smart World Congress (SmartWorld 2018)
October 8-12, 2018
Guangzhou, China

Keynote Speeches Section

You are welcome to attend 15+ Keynote Speeches offered by world-renowned professors and industry leaders, which will be shared by the IEEE Smart World Congress 2018 and its six Co-Located Conferences (UIC, ATC, ScalCom, CBDCom, IoP, SCI) and their associated Symposiums/Workshops. Detailed information will be available at the conference website later.

Special Issues Section

Distinguished papers, after further revisions, will be published in 20+ SCI & EI indexed special issues* (to be confirmed). Special issues will be shared by IEEE Smart World Congress 2018 and its six Co-Located Conferences (UIC, ATC, ScalCom, CBDCom, IoP, SCI) and their associated Symposiums/Workshops:

(1) IEEE Internet of Things Journal (SCI & EI Indexed, Impact Factor: 7.596)

(2) Information Fusion - Elsevier (SCI & EI Indexed, Impact Factor: 5.667)

(3) Information Sciences - Elsevier (SCI & EI Indexed, Impact Factor: 4.832)

(4) Future Generation Computer Systems - Elsevier (SCI & EI Indexed, Impact Factor: 3.997)

(5) Journal of Network and Computer Applications - Elsevier (SCI & EI Indexed, Impact Factor: 3.500)

(6) IEEE Access (SCI & EI Indexed, Impact Factor: 3.244)

(7) Ad Hoc Networks - Elsevier (SCI & EI Indexed, Impact Factor: 3.047)

(8) Soft Computing -  Springer (SCI & EI Indexed, Impact Factor: 2.472)

(9) Wireless Communications and Mobile Computing - Hindawi (SCI & EI Indexed, Impact Factor: 1.899)

(10) International Journal of Parallel Programming - Springer (SCI & EI Indexed, Impactor Factor: 1.156)

(11) Journal of Computer Science and Technology - Springer (SCI & EI Indexed, Impactor Factor: 0.956)

(12) Journal of Ambient Intelligence and Smart Environments - IOS (SCI & EI Indexed, Impactor Factor: 0.809)

(13) IEICE Transactions  on Information and Systems - (SCI & EI Indexed, Impact Factor: 0.411)

(14) IEEE Cloud Computing - (EI Indexed)

(15) Journal of Information Security and Applications - Elsevier (ESCI & EI Indexed)

(16) Future Internet - MDPI (ESCI & EI Indexed)

(17) International Journal of Computational Science and Engineering (IJCSE) - INDERSCIENCE (ESCI & EI Indexed)

(18) International Journal of Embedded Systems (IJES) - INDERSCIENCE (EI Indexed)

(19) International Journal of High Performance Computing and Networking (IJHPCN) - INDERSCIENCE (EI Indexed)

* More special issues will be added later.

Workshops and Special Sessions Section

Workshops/Special Sessions in conjunction with IEEE Smart World Congress 2018:

(1) The 6th IEEE International Workshop on Network Optimization and Performance Evaluation (NOPE 2018)

(2) The 3rd International Workshop on High Performance Big Data Computing (WHPBDC 2018)

(3) The 2018 International Workshop on Assistive Engineering and Information Technology (AEIT 2018)

(4) The 2018 Special Session on Advanced Information Systems Engineering (AISE 2018)

(5) The 2018 Special Session on BlockChain and its Applications (BlockChain 2018)


Ubiquitous Intelligence for Smart World

The smart world is set to enhance everyday things with abilities of sensation, communication, computation and intelligence so that many tasks and processes could be simplified, more efficient and productive. It consists of numerous "smart things" that can be endowed with different levels/forms of computational intelligence and even capable of thinking. Research on smart world is an emerging research field covering many areas, essential problems and crucial issues in truly building the smart world that benefits humanity, and simultaneously safeguards the natural environment for sustainable development and evolution.

The 4th IEEE Smart World Congress originated from the 2005 Workshop on Ubiquitous Smart Worlds (USW, Taipei) and the 2005 Symposium on Ubiquitous Intelligence and Smart World (UISW, Nagasaki). SmartWorld 2018 in Guangzhou is the continuation after the success of SmartWorld 2017 in San Francisco, SmartWorld 2016 in Toulouse, and SmartWorld 2015 in Beijing. IEEE SmartWorld 2018 aims to provide a high-profile, leading-edge platform for researchers and engineers to exchange and explore state-of-art advances and innovations in graceful integrations of Cyber, Physical and Social Worlds with Ubiquitous Intelligence.

IEEE SmartWorld 2018 Topics
- Smart Industry and Manufacture
- Smart Agriculture and Aquaculture 
- Smart Materials and Fabric
- Smart Environment and Ecosystems 
- Smart Earth/Space System
- Smart Grid and Energy
- Smart Logistics and Retail
- Smart Building and Structure
- Smart Roads and Transportation 
- Smart Vehicles and Networks 
- Smart Machines and Robots
- Smart Home and Furniture
- Smart Appliances and Goods
- Smart Wearables and Implants
- Smart Medicine and Healthcare
- Smart Elderly/Kiddy Care
- Smart Foods and Living
- Smart Learning and Education
- Smart Disaster Management
- Smart Internet of Things
- Smart Sensing, System and Service 
- Smart Computing & Communication

Six Co-located Conferences
- The 15th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2018)
- The 15th IEEE Int'l Conf. on Advanced and Trusted Computing (ATC 2018)
- The 18th IEEE Int'l Conf. on Scalable Computing & Communications (ScalCom 2018)
- The 4th IEEE Int'l Conf. on Cloud and BigData Computing (CBDCom 2018)
- The 4th IEEE Int'l Conf. on Internet of People (IoP 2018)
- The 2nd IEEE Int'l Conf. on Smart City Innovations (SCI 2018)

IEEE SmartWorld 2018 Calls for
- Papers that must be submitted electronically via the 2018 congress website 
- Workshop and Special Session Proposals in smart world related all aspects 
- Tutorial Proposals in addressing the emerging smart world areas
- Smart AI City Competition Proposals for AI technological applications

Special Session Proposal Due: May 8, 2018
Paper Submission Deadline: May 15, 2018 (Extended Firm Deadline)
Author Notification Date: June 25, 2018
Camera-ready Deadline: August 8, 2018

A submission is limited to 8 pages for a main conference paper, 6 pages for a workshop or special session paper, 4 pages for a Work-in-Progress paper, and 2 pages for a poster or demo paper in the IEEE Computer Society Proceedings Format (https://www.ieee.org/conferences_events/conferences/publishing/templates.html) with Portable Document Format (.pdf). A submission can have at most 2 additional pages with the pages overlength charge if accepted. Please submit at: https://easychair.org/conferences/?conf=smartworld2018.

For regular paper submission that falls in any of those various topics and beyond, please choose one appropriate track among the following three tracks when submitting your paper in the EasyChair system:

Track 1. Smart World Theories and Models
Track 2. Smart World Technologies
Track 3. Smart World Systems

Accepted conference papers will be published by IEEE CPS (IEEE-DL and EI indexed). At least one author of each accepted paper is required to register and present their work at the conference; otherwise the paper will not be included in the proceedings. Best Paper Awards will be presented to high quality papers. Selected papers will be recommended to special issues. More details can be found via http://www.smart-world.org/2018/.

Guojun Wang, Guangzhou Univ., China
Yew Soon Ong, Nanyang Tech. Univ., Singapore

Md Zakirul Alam Bhuiyan, Fordham Univ., USA
Frode Eika Sandnes, HiOA, Norway
Ruixuan Li, Huazhong Univ. of Sci. and Tech., China

Manuel Roveri, Politecnico di Milano, Italy
Seiichi Ozawa, Kobe University, Japan
Qin Liu, Hunan University, China

Haibo He, University of Rhode Island, USA

Zhong Chen, Peking University, China

Jerry Gao, San Jose State University, USA

Jianer Chen, Guangzhou University, China

Stephen S. Yau, Arizona State Univ., USA
Xin Yao, Southern Univ. of Sci. and Tech., China
Cesare Alippi, Politecnico di Milano, Italy

Vincenzo Piuri, Univ. of Milan, Italy
Hussein Abbass, Univ. of New South Wales, Australia
Hong Mei, Beijing Institute of Technology, China

Jianhua Ma, Hosei Univ., Japan
Laurence T. Yang, St. Francis Xavier Univ., Canada

Constantinos Kolias, George Mason University, USA
Tao Peng, Guangzhou University, China
Darpan Triboan, De Montfort University, UK

Dongqing Xie, Guangzhou University, China

Peter Mueller, IBM Zurich Research Laboratory, Switzerland
Zengguang Hou, University of the Chinese Academy of Sciences, China
Chen Yang, China Information Security Research Institute, China

Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA
Sancheng Peng, Guangdong University of Foreign Studies, China
Georgios Kambourakis, University of the Aegean, Greece
Aniello Castiglione, University of Salerno, Italy

Carlos Becker Westphall, Federal University of Santa Catarina, Brazil
Anna Kobusinska, Poznan University of Technology, Poland
Chunsheng Zhu, University of British Columbia, Canada
Wenbin Jiang, Huazhong University of Science and Technology, China
Xiaokang Wang, St. Francis Xavier University, Canada

Liming Chen, De Montfort University, UK
Kevin I-Kai Wang, The University of Auckland, New Zealand

Xiaofei Xing, Guangzhou University, China
Pin Liu, Central South University, China

Dacheng Meng, Central South University, China


Please email inquiries concerning IEEE Smart World Congress 2018 to Conference Organizers: SmartWorld2018Guangzhou@googlegroups.com.

Prof. Guojun Wang, General Chair of IEEE Smart World Congress 2018

Sunday 6 May 2018

CFP: IEEE TEVC Special Issue on Theoretical Foundations of Evolutionary Computation (Oct 1)


  Evolutionary computation (EC) methods such as evolutionary algorithms, ant colony optimization and artificial immune systems have been successfully applied to a wide range of problems. These include classical combinatorial optimization problems and a variety of continuous, discrete and mixed integer real-world optimization problems that are often hard to optimize by traditional methods (e.g., because they are non-linear, highly constrained, multi-objective, etc.). In contrast to the successful applications, there is still a need to understand the behaviour of these algorithms. The achievement and development of a solid theory of bio-inspired computation techniques is important as it provides sound knowledge on their working principles. In particular, it explains the success or the failure of these methods in practical applications. Theoretical analyses lead to the understanding of which problems are optimized (or approximated) efficiently by a given algorithm and which ones are not. The benefits of theoretical understanding for practitioners are threefold. 1) Aiding algorithm design, 2) guiding the choice of the best algorithm for the problem at hand and 3) determining optimal parameter settings.
   The aim of this special issue is to advance the theoretical understanding of evolutionary computation methods. We solicit novel, high quality scientific contributions on theoretical or foundational aspects of evolutionary computation. A successful exchange between theory and practice in evolutionary computation is very desirable and papers bridging theory and practice are of particular interest. In addition to strict mathematical investigations, experimental studies strengthening the theoretical foundations of evolutionary computation methods are very welcome. 


This special issue will present novel results from different subareas of the theory of bio-inspired algorithms. The scope of this special issue includes (but is not limited to) the following topics: 
  • Exact and approximation runtime analysis
  • Black box complexity
  • Self-adaptation
  • Population dynamics
  • Fitness landscape and problem difficulty analysis
  • No free lunch theorems
  • Theoretical Foundations of combining traditional optimization techniques with EC methods
  • Statistical approaches for understanding the behaviour of bio-inspired heuristics
  • Computational studies of a foundational nature
All classes of bio-inspired optimization algorithms will be considered including (but not limited to) evolutionary algorithms, ant colony optimization, artificial immune systems, particle swarm optimization, differential evolution, and estimation of distribution algorithms. All problem domains will be considered including discrete and continuous optimization, single-objective and multi-objective optimization, constraint handling, dynamic and stochastic optimization, co-evolution and evolutionary learning.


Manuscripts should be prepared according to the “Information for Authors” section of the journal found at http://ieee-cis.org/ pubs/tec/authors/ and submissions should be made through the journal submission website: http://mc.manuscriptcentral.com/tevc-ieee/, by selecting the Manuscript Type of “TFoEC Special Issue Papers” and clearly adding “TFoEC Special Issue Paper” to the comments to the Editor-in-Chief.

Submitted papers will be reviewed by at least three different expert reviewers. Submission of a manuscript implies that it is the authors’ original unpublished work and is not being submitted for possible publication elsewhere.

Each submission will contain at least one paragraph explaining why the paper is (potentially) relevant to practice.


  • Submission open: February 1, 2018
  • Submission deadline: October 1, 2018
  • Tentative publication date: 2019
Papers will be assigned to reviewers as soon as they are submitted. Papers will be published online as soon as they are accepted.

For further information, please contact one of the following Guest Editors.


Pietro S. Oliveto
Department of Computer Science
University of Sheffield
United Kingdom

Anne Auger
Ecole Polytechnique Paris

Francisco Chicano
Department of Languages and Computing Sciences
University of Malaga Spain

Carlos M. Fonseca
Department of Informatics Engineering
University of Coimbra Portugal

Friday 4 May 2018

CFP: IEEE TETCI Special Issue on New Advances in Deep-Transfer Learning (Jun 30)


  While Deep learning (DL) has achieved great success in big data applications, transfer learning (TL) is an important paradigm for small/insufficient data applications, which utilizes the data/knowledge in one task to facilitate the learning in another relevant task. How to integrate DL and TL to combine their advantages is an interesting and important research topic. Deep-Transfer Learning (DTL) is proposed to address this issue. Deep learning extracts knowledge from big data, which can then be used by TL for a new task/domain with small/insufficient data.
  Computational intelligence techniques, mainly including neural networks, fuzzy logic, and evolutionary computation, can be valuable in DTL. For example:
  • Neural networks (NN) are the cornerstones of DL.
  • Hierarchical/cascaded fuzzy logic systems (FLS) and fuzzy NNs may be viewed as fuzzy rule based DL models. FLSs can also capture interpretable knowledge, which may be easily transferrable to a new domain/task. Therefore, fuzzy logic is expected to play an important role in integrating DL and TL.
  • Evolutionary computation (EC) has been widely used in optimizing shallow NNs and FLSs. TL can also be viewed as an evolutionary learning strategy because it adapts the model to the changing environment. It is interesting to see novel applications of EC in DTL.
  • Other emerging forms of CI, such as (but not limited to) probabilistic computation, swarm intelligence, and artificial immune systems, can also contribute to DTL from different aspects.
  The aims of this special issue are: (1) present the state-of-theart research on novel CI based DTL methods and their applications, and (2) provide a forum for researchers to disseminate their views on future perspectives of the field.


  Topics of interest for this special issue include, but are not limited to:

  Theory and Methods:

  • DTL theory and algorithms
  • Fuzzy logic and fuzzy set based DTL
  • Neural networks based DTL
  • Evolutionary computation for DTL
  • Novel/emerging forms of CI (in addition to NN/FLS/EC) in DTL
  • Uncertainty theory based DTL
  • DTL for feature learning, classification, regression, and clustering
  • DTL for multi-task modeling, multi-view modeling and co-learning


  • CI based DTL for video analysis, text processing and natural language processing
  • CI based DTL for brain-machine interfaces and medical signal analysis


  Manuscripts should be prepared according to the “Information for Authors” section of the journal (http://cis.ieee.org/ieee-transactions-on-emerging-topics-incomputational-intelligence.html) and submissions should be done through the journal submission website: https://mc.manuscriptcentral.com/tetci-ieee, by selecting the Manuscript Type of “New Advances in Deep-Transfer Learning” and clearly marking “New Advances in Deep Transfer Learning Special Issue Paper” as comments to the Editor-in-Chief. Submitted papers will be reviewed by at least three different expert reviewers. Submission of a manuscript implies that it is the authors’ original unpublished work and is not being submitted for possible publication elsewhere.


  • Paper submission deadline: June 31, 2018
  • Notice of the first round review results: September 15, 2018
  • Revision due: November 15, 2018
  • Final notice of acceptance/reject: December 15, 2018


Call for Participation: International Summer School on AI and Games, Chania, Greece (May 28-Jun 1)

The first international summer school on Artificial Intelligence and Games will be held on Crete (Chania), Greece, from May 28 to June 01, 2018.

The summer school is dedicated to the uses of artificial intelligence (AI) techniques in and for games. After introductory lectures that explain the background and key techniques in AI and games, the school will introduce participants the uses of AI for playing games, for generating content for games, and for modeling players.

This school is suitable for industrial game developers, designers, programmers and practitioners, but also for graduate students in games, artificial intelligence, design, human-computer interaction, and computational intelligence.

The main lecturers are Georgios N. Yannakakis and Julian Togelius, co-authors of the AI and Games textbook (http://www.gameaibook.org), the first comprehensive textbook on the use of AI in games. During the first phase of the school theoretical lectures will be complemented by guest lectures on special topics in game AI and by hands-on workshops given by world-leading practitioners from DeepMind, Ubisoft, Yokozuna Data, and other partners. For the second phase of the school, we plan a game AI jam on the taught material.

Further Information: http://school.gameaibook.org/

Thursday 3 May 2018

CFP: IEEE CIM Special Issue on Deep Reinforcement Learning and Games (Oct 1)


  Recently, there has been tremendous progress in artificial intelligence (AI) and computational intelligence (CI) and games. In 2015, Google DeepMind published a paper “Human-level control through deep reinforcement learning” in Nature, showing the power of AI&CI in learning to play Atari video games directly from the screen capture. Furthermore, in Nature 2016, it published a cover paper “Mastering the game of Go with deep neural networks and tree search” and proposed the computer Go program, AlphaGo. In March 2016, AlphaGo beat the world’s top Go player Lee Sedol by 4:1. In early 2017, the Master, a variant of AlphaGo, won 60 matches against top Go players. In late 2017, AlphaGo Zero learned only from self-play and was able to beat the original AlphaGo without any losses (Nature 2017). This becomes a new milestone in the AI&CI history, the core of which is the algorithm of deep reinforcement learning (DRL). Moreover, the achievements on DRL and games are manifest. In 2017, the AIs beat the expert in Texas Hold’em poker (Science 2017). OpenAI developed an AI to outperform the champion in the 1V1 Dota 2 game. Facebook released a huge database of StarCraft I. Blizzard and DeepMind turned StarCraft II into an AI research lab with a more open interface. In these games, DRL also plays an important role.
  The theoretical analysis of DRL, e. g., the convergence, stability, and optimality, is still in early days. Learning efficiency needs to be improved by proposing new algorithms or combining with other methods. DRL algorithms still need to be demonstrated in more diverse practical settings. Specific topics of interest include but are not limited to:
  • Survey on DRL and games;
  • New AI&CI algorithms in games;
  • Learning forward models from experience;
  • New algorithms of DL, RL and DRL;
  • Theoretical foundation of DL, RL and DRL;
  • DRL combined with search algorithms or other learning methods;
  • Challenges of AI&CI games as limitations in strategy learning, etc.;
  • DRL or AI&CI Games based applications in realistic and complicated systems.


  • Submission Deadline: October 1st, 2018
  • Notification of Review Results: December 10th, 2018
  • Submission of Revised Manuscripts: January 31st, 2019
  • Submission of Final Manuscript: March 15th, 2019
  • Special Issue Publication: August 2019 Issue


D. Zhao, Institute of Automation, Chinese Academy of Sciences, China, Dongbin.zhao@ia.ac.cn

S. Lucas, Queen Mary University of London, UK, simon.lucas@qmul.ac.uk

J. Togelius, New York University, USA, julian.togelius@nyu.edu.


  1. The IEEE CIM requires all prospective authors to submit their manuscripts in electronic format, as a PDF file. The maximum length for Papers is typically 20 double-spaced typed pages with 12-point font, including figures and references. Submitted manuscript must be typewritten in English in single column format. Authors of Papers should specify on the first page of their submitted manuscript up to 5 keywords. Additional information about submission guidelines and information for authors is provided at the IEEE CIM website. Submission will be made via https://easychair.org/conferences/?conf=ieeecimcitbb2018.
  2. Send also an email to guest editor D. Zhao (dongbin.zhao@ia.ac.cn) with subject “IEEE CIM special issue submission” to notify about your submission.
  3. Early submissions are welcome. We will start the review process as soon as we receive your contribution.

CFP: IEEE Conference on Computational Intelligence and Games (CIG 2018) (May 15)

Computer games offer not only a killer application for computational intelligence (CI), machine learning and search, but also provide a compelling domain in which problem solving and decision making meet artifact creation, to provide highly immersive, complex and rich interaction experiences.
Additionally, CI methods promise to have a huge impact on game technology and development, assisting designers and developers, and enabling new types of games.
The Computational Intelligence and Games (CIG) conference series brings together leading researchers and practitioners from academia and industry, to discuss recent advances and explore future directions in this field. The annual IEEE Conference on Computational Intelligence and Games (IEEE CIG) is one of the premier international conferences in this exciting and expanding field.
The topics of interest include, but are not limited to:
  • Machine-learning in games
  • Adversarial search
  • Player/opponent modeling
  • AI in education
  • Emotion recognition in game-play
  • CI/AI-based game design
  • Affective modeling
  • Player experience
  • Procedural content generation
  • Game generation
  • Intelligent interactive narrative
  • Character development and narrative
  • CI/AI for virtual cinematography
  • Multi-agent and multi-strategy learning
  • Applications of game theory
  • General game playing
  • Serious games

Full papers: Full papers should be submitted by March 15. Full papers have an 8 page limit, and should constitute a technical or empirical contribution to CI/AI in games and be accompanied by an appropriate evaluation of the work. Notice that there is an abstract submission deadline by
March 1 (March 15th, together with the paper submission).
In addition to regular paper submissions the conference offers four alternative types of paper submission: competition, vision, short and demo papers.
Competition papers: These are regular papers (up to 8 pages) that describe one or more entries to the competitions that are running at this year’s CIG. Competition papers need to include evaluation of the contribution, including (if possible) results on the same benchmark as that used by the competition, and comparison to other competition entries. Because the problem domain is well-known, these papers can be reviewed faster than regular papers. The same quality standards will apply to competition papers as to regular papers. The list of games that are running at this year’s CIG are:
  • StarCraft
  • Hearthstone
  • Pac-Man
  • Fighting Game AI Competition
  • microRTS
  • Hanabi
  • General Video Game AI
  • 3rd Angry Birds Level Generation
  • Text-Based Adventure AI
  • Visual Doom
Competition papers should be submitted by May 15, 2018.
Vision papers: These are regular papers (up to 8 pages) describing a vision for the future of the field of computational intelligence and games or some part of it. These papers need to be based on existing literature, be well-written and well argued. In cases where a paper describes a particular technique or domain, the paper should include a survey of that field; all papers should include extensive bibliographies. Papers should not revolve around any particular set of experiments, and need not contain any new empirical results, but are encouraged to outline ambitious future work. The quality standards applied to vision papers are at least as high as for other conference papers. Vision papers should be submitted by May 15, 2018.
Short papers: Short papers (2-4 pages): describe work in progress, smaller projects that are not yet ready to be published as a full paper, or new progress on projects that have been reported elsewhere. Any topic related to AI and games is welcome. Short papers should be submitted by May 15, 2018.
Demos: Demo submissions should be in the form of a 2-page extended abstract. The submission needs to accompany a demonstration of CI in games. The demo event of IEEE CIG 2018 will showcase the latest CI/AI tools, techniques, and systems created for games by academic or industrial research groups. Demos should be submitted by May 15, 2018.

Author Guidelines

All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html
All submitted papers will be fully peer-reviewed, and accepted papers will be published in the conference proceedings and on IEEE Xplore. Short papers will be allocated poster presentations and short oral presentations if time and space permits; vision papers will be allocated regular oral presentation slots; competition papers will be allocated short or regular oral presentation. Reviewing standards for competition papers are as high as for regular CIG papers, and standards for vision papers are higher.

Conference Submission Procedure

When you have completed your paper and is ready to submit it, please go to https://easychair.org/conferences/?conf=cig18 to submit your final paper as a pdf file.