Tuesday, 26 February 2019

2019 Graduate Student Research Grants - Call for Applications

The deadline for applications for scholarships for undergraduate, graduate and PhD students to carry out research during an academic break period is 15 March 2019. The scholarships can cover expenses related to a visit to another university, institute or research agency for collaboration with an identified researcher in the applicant's field of interest.The research field should be connected with the CIS (neural networks, fuzzy systems, or evolutionary computation). More information can be found here:


IEEE Transactions on Fuzzy Systems, Volume 27, Issue 1, Jan. 2019

1) A Nested Tensor Product Model Transformation
Author(s): Y Yu, Z Li, X Liu, K Hirota, X Chen, T Fernando, H H C Lu
Pages: 1 - 15

2) High-order Intuitionistic Fuzzy Cognitive Map Based on Evidential Reasoning Theory
Author(s): Y Zhang, J Qin, P Shi, Y Kang
Pages: 16 - 30

3) Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data
Author(s): Z Bian, H Ishibuchi, S Wang
Pages: 31 - 44

4) Fuzzy Optimal Energy Management for Fuel Cell and Supercapacitor Systems Using Neural Network Based Driving Pattern Recognition
Author(s): R Zhang, J Tao, H Zhou
Pages: 45 - 57

5) Comparing the Performance Potentials of Interval and General Type-2 Rule-Based Fuzzy Systems in Terms of Sculpting the State Space
Author(s): J M Mendel
Pages: 58 - 71

6) LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition
Author(s): C Liu, W Huang, F Sun, M Luo, C Tan
Pages: 72 - 83

7) Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method
Author(s): H-C Liu, L-E Wang, Z-W Li, Y-P Hu
Pages: 84 - 95

8) Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems
Author(s): Y Li, K Li, S Tong
Pages: 96 - 110

9) BPEC: Belief-Peaks Evidential Clustering
Author(s): Z-G Su, T Denoeux
Pages: 111 - 123

10) Improving the Performance of Fuzzy Rule-Based Classification Systems Based on a Nonaveraging Generalization of CC-Integrals NamedCF1F2-Integrals
Author(s): G Lucca, G P Dimuro, J Fernandez, H Bustince, B Bedregal, J A Sanz
Pages: 124 - 134

11) The Negation of a Basic Probability Assignment
Author(s): L Yin, X Deng, Y Deng
Pages: 135 - 143

12) Event Triggered Adaptive Fuzzy Consensus for Interconnected Switched Multiagent Systems
Author(s): S Zheng, P Shi, S Wang, Y Shi
Pages: 144 - 158

13) Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making
Author(s): X Liu, Y Xu, R Montes, R-X Ding, F Herrera
Pages: 159 - 171

14) Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems
Author(s): S Sui, C L P Chen, S Tong
Pages: 172 - 184

15) Deviation-Sparse Fuzzy C-Means With Neighbor Information Constraint
Author(s): Y Zhang, X Bai, R Fan, Z Wang
Pages: 185 - 199

16) Sampled-Data Adaptive Output Feedback Fuzzy Stabilization for Switched Nonlinear Systems With Asynchronous Switching
Author(s): S Li, C K Ahn, Z Xiang
Pages: 200 - 205

Saturday, 23 February 2019

IEEE Transactions on Neural Networks and Learning Systems: Volume 30, Issue 1, January 2019

1. Editorial: Booming of Neural Networks and Learning Systems
Page(s): 2 - 10

2. Deep CNN-Based Blind Image Quality Predictor
Author(s): Jongyoo Kim; Anh-Duc Nguyen; Sanghoon Lee
Page(s): 11 - 24

3. Neuro-Adaptive Control With Given Performance Specifications for Strict Feedback Systems Under Full-State Constraints
Author(s): Xiucai Huang; Yongduan Song; Junfeng Lai
Page(s): 25 - 34

4. Consensus Problems Over Cooperation-Competition Random Switching Networks With Noisy Channels
Author(s): Yonghong Wu; Bin Hu; Zhi-Hong Guan
Page(s): 35 - 43

5. Estimation of Graphlet Counts in Massive Networks
Author(s): Ryan A. Rossi; Rong Zhou; Nesreen K. Ahmed
Page(s): 44 - 57

6. Finite-Time Passivity-Based Stability Criteria for Delayed Discrete-Time Neural Networks via New Weighted Summation Inequalities
Author(s): Ramasamy Saravanakumar; Sreten B. Stojanovic; Damnjan D. Radosavljevic; Choon Ki Ahn; Hamid Reza Karimi
Page(s): 58 - 71

7. Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach
Author(s): Min Xiang; Bruno Scalzo Dees; Danilo P. Mandic
Page(s): 72 - 84

8. Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning
Author(s): Jiahu Qin; Man Li; Yang Shi; Qichao Ma; Wei Xing Zheng
Page(s): 85 - 96

9. Design and Adaptive Control for an Upper Limb Robotic Exoskeleton in Presence of Input Saturation
Author(s): Wei He; Zhijun Li; Yiting Dong; Ting Zhao
Page(s): 97 - 108

10. A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Author(s): Chong Zhang; Kay Chen Tan; Haizhou Li; Geok Soon Hong
Page(s): 109 - 122

11. A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons
Author(s): Malu Zhang; Hong Qu; Ammar Belatreche; Yi Chen; Zhang Yi
Page(s): 123 - 137

12. Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization
Author(s): Jorge Dávila-Chacón; Jindong Liu; Stefan Wermter
Page(s): 138 - 150

13. A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition
Author(s): Bingrong Xu; Qingshan Liu; Tingwen Huang
Page(s): 151 - 162

14. Domain-Weighted Majority Voting for Crowdsourcing
Author(s): Dapeng Tao; Jun Cheng; Zhengtao Yu; Kun Yue; Lizhen Wang
Page(s): 163 - 174

15. Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning
Author(s): Xian Wei; Hao Shen; Yuanxiang Li; Xuan Tang; Fengxiang Wang; Martin Kleinsteuber; Yi Lu Murphey
Page(s): 175 - 189

16. On the Duality Between Belief Networks and Feed-Forward Neural Networks
Author(s): Paul M. Baggenstoss
Page(s): 190 - 200

17. Exploiting Combination Effect for Unsupervised Feature Selection by L2,0 Norm
Author(s): Xingzhong Du; Feiping Nie; Weiqing Wang; Yi Yang; Xiaofang Zhou
Page(s): 201 - 214

18. Leader-Following Practical Cluster Synchronization for Networks of Generic Linear Systems: An Event-Based Approach
Author(s): Jiahu Qin; Weiming Fu; Yang Shi; Huijun Gao; Yu Kang
Page(s): 215 - 224

19. Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection
Author(s): Shuwei Huo; Yuan Zhou; Wei Xiang; Sun-Yuan Kung
Page(s): 225 - 241

20. Augmented Real-Valued Time-Delay Neural Network for Compensation of Distortions and Impairments in Wireless Transmitters
Author(s): Dongming Wang; Mohsin Aziz; Mohamed Helaoui; Fadhel M. Ghannouchi
Page(s): 242 - 254

21. UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks
Author(s): Min Han; Meng Zhang; Tie Qiu; Meiling Xu
Page(s): 255 - 268

22. A Semisupervised Classification Approach for Multidomain Networks With Domain Selection
Author(s): Chuan Chen; Jingxue Xin; Yong Wang; Luonan Chen; Michael K. Ng
Page(s): 269 - 283

23. Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance
Author(s): Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis; Ioannis Pitas
Page(s): 284 - 294

24. Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
Author(s): Yan-Jun Liu; Shu Li; Shaocheng Tong; C. L. Philip Chen
Page(s): 295 - 305

25. Filippov Hindmarsh–Rose Neuronal Model With Threshold Policy Control
Author(s): Yi Yang; Xiaofeng Liao
Page(s): 306 - 311

26. Blind Denoising Autoencoder
Author(s): Angshul Majumdar
Page(s): 312 - 317

27. Variational Random Function Model for Network Modeling
Author(s): Zenglin Xu; Bin Liu; Shandian Zhe; Haoli Bai; Zihan Wang; Jennifer Neville
Page(s): 318 - 324

IEEE Transactions on Neural Networks and Learning Systems: Volume 30, Issue 2, February 2019.

1. fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs
Author(s): Stylianos I. Venieris; Christos-Savvas Bouganis
Page(s): 326 - 342

2. A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells
Author(s): Massimiliano Luzi; Maurizio Paschero; Antonello Rizzi; Enrico Maiorino; Fabio Massimo Frattale Mascioli
Page(s): 343 - 354

3. Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering
Author(s): Wenming Cao; Si Wu; Zhiwen Yu; Hau-San Wong
Page(s): 355 - 368

4. Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach
Author(s): Liang Lan; Zhuang Wang; Shandian Zhe; Wei Cheng; Jun Wang; Kai Zhang
Page(s): 369 - 378

5. Optimized Neural Network Parameters Using Stochastic Fractal Technique to Compensate Kalman Filter for Power System-Tracking-State Estimation
Author(s): Hossam Mosbah; Mohamed E. El-Hawary
Page(s): 379 - 388

6. Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method
Author(s): Hanwen Ning; Guangyan Qing; Tianhai Tian; Xingjian Jing
Page(s): 389 - 404

7. Semisupervised Learning With Parameter-Free Similarity of Label and Side Information
Author(s): Rui Zhang; Feiping Nie; Xuelong Li
Page(s): 405 - 414

8. H-infinity State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks Under the Round-Robin Protocol
Author(s): Xiongbo Wan; Zidong Wang; Min Wu; Xiaohui Liu
Page(s): 415 - 426

9. Temporal Self-Organization: A Reaction–Diffusion Framework for Spatiotemporal Memories
Author(s): Prayag Gowgi; Shayan Srinivasa Garani
Page(s): 427 - 448

10. Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
Author(s): Zhanyu Ma; Yuping Lai; W. Bastiaan Kleijn; Yi-Zhe Song; Liang Wang; Jun Guo
Page(s): 449 - 463

11. Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay
Author(s): Jiangcheng Zhu; Jun Zhu; Zhepei Wang; Shan Guo; Chao Xu
Page(s): 464 - 473

12. Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation
Author(s): Xiangyu Chang; Yan Zhong; Yao Wang; Shaobo Lin
Page(s): 474 - 485

13. Online Active Learning Ensemble Framework for Drifted Data Streams
Author(s): Jicheng Shan; Hang Zhang; Weike Liu; Qingbao Liu
Page(s): 486 - 498

14. A New Approach to Stochastic Stability of Markovian Neural Networks With Generalized Transition Rates
Author(s): Ruimei Zhang; Deqiang Zeng; Ju H. Park; Yajuan Liu; Shouming Zhong
Page(s): 499 - 510

15. Optimization of Distributions Differences for Classification
Author(s): Mohammad Reza Bonyadi; Quang M. Tieng; David C. Reutens
Page(s): 511 - 523

16. Deep Convolutional Identifier for Dynamic Modeling and Adaptive Control of Unmanned Helicopter
Author(s): Yu Kang; Shaofeng Chen; Xuefeng Wang; Yang Cao
Page(s): 524 - 538

17. Neural-Response-Based Extreme Learning Machine for Image Classification
Author(s): Hongfeng Li; Hongkai Zhao; Hong Li
Page(s): 539 - 552

18. Deep Ensemble Machine for Video Classification
Author(s): Jiewan Zheng; Xianbin Cao; Baochang Zhang; Xiantong Zhen; Xiangbo Su
Page(s): 553 - 565

19. Multiple ψ-Type Stability of Cohen–Grossberg Neural Networks With Both Time-Varying Discrete Delays and Distributed Delays
Author(s): Fanghai Zhang; Zhigang Zeng
Page(s): 566 - 579

20. Neural Network Training With Levenberg–Marquardt and Adaptable Weight Compression
Author(s): James S. Smith; Bo Wu; Bogdan M. Wilamowski
Page(s): 580 - 587

21. Solving Partial Least Squares Regression via Manifold Optimization Approaches
Author(s): Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin
Page(s): 588 - 600

22. Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
Author(s): Shangce Gao; Mengchu Zhou; Yirui Wang; Jiujun Cheng; Hanaki Yachi; Jiahai Wang
Page(s): 601 - 614

23. Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery
Author(s): Yifeng Li; Youlian Pan; Ziying Liu
Page(s): 615 - 629

24. Self-Paced Learning-Based Probability Subspace Projection for Hyperspectral Image Classification
Author(s): Shuyuan Yang; Zhixi Feng; Min Wang; Kai Zhang
Page(s): 630 - 635

25. Hierarchical Stability Conditions for a Class of Generalized Neural Networks With Multiple Discrete and Distributed Delays
Author(s): Lei Song; Sing Kiong Nguang; Dan Huang
Page(s): 636 - 642

Thursday, 21 February 2019

Full UK PhD Scholarships

Full UK PhD scholarships in evolutionary computation/ computational intelligence/data analytics/ operations research/optimisation/simulation

Thanks to an arisen opportunity, we at the Operational Research (OR) group, Liverpool John Moores University (United Kingdom) may be able to offer a small number of PhD scholarships (full or tuition-fees-only depending on the quality of the candidate).

There are two types of scholarships:

The ones for UK/EU/settled students:
  • Deadline 3rd March. Results to be known by end of March.
  • provide full tuition fees for three years and,
  • living expenses + running cost cover of about £16,500 each year (to be determined) for 3 years
  • students have to enrol in Sept-Oct 2019
  • Brexit will not have any impact on these scholarships

The ones for international students:
  • Provide about £20,000 each year (to be determined). Students can use this amount to pay toward their tuition fees and living expenses.
  • If the successful candidate joins one of the projects currently being run by the OR group, he/she may get additional scholarships depending on research performance and level of contribution.
Regarding research topic, any area in evolutionary computation/ computational intelligence/data analytics/ operations research would be acceptable. However, I would prefer a topic that relates to one of our existing projects, which are in the following areas:

  • OR techniques to study/mitigate the impact of climate change on transportation. For example, we have a project (with Merseyrail and Network Rail) on using data analytics and optimisation to anticipate and mitigate the impact of leaves falling on train tracks.
  • Evolutionary computation or meta-heuristics
  • OR/data analytics applications in rail, in partnership with Merseyrail, Network Rail, and Rail Delivery Group
  • OR applications in maritime, in partnership with UK, EU and overseas ports
  • OR applications in sustainable transportation, e.g. bicycle, e-bikes, walking, buses, emission/congestion reduction etc., in partnership with local authorities and transport authorities (e.g. the ones in Liverpool and Manchester)
  • OR applications in logistics (e.g. bin packing, vehicle routing etc.) in partnership with logistics companies, especially those in airports, ports, and manufacturing plants (especially those in Liverpool).
  • OR applications in manufacturing, in partnership with car manufacturers e.g. Vauxhall and Jaguar Land Rover.

Interested candidates please contact Dr. Trung Thanh Nguyen T.T.Nguyen@ljmu.ac.uk with your full CV and transcripts. It is important that interested candidates contact me ASAP to ensure that we can prepare your applications in the best way to maximise your chance before the deadline of 3rd March.

Sunday, 17 February 2019

Call-for-Papers: The 3rd International Symposium on Autonomous Systems

The 3rd International Symposium on Autonomous Systems
(ISAS 2019) May 29-31, 2019, Shanghai, China (www.isas.cqu.edu.cn)

On behalf of the ISAS 2019 Organizing Committee, this is to invite you to submit your contributions to The 3rd International Symposium on Autonomous Systems (ISAS 2019), May 29-31, 2019, Shanghai, China (www.isas.cqu.edu.cn). The 3rd International Symposium on Autonomous Systems, ISAS 2019, will be held in Shanghai, China, during May 29-31, 2019. The conference is organized by Chongqing University, Shanghai Jiao Tong University, China, Star Institute for Intelligent Systems, China, University of Texas at Arlington, USA, and technically co-sponsored by IEEE Computational Intelligence Society, Technical Committee on Reliable Control Systems, Chinese Association of Automation, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China, and Key Laboratory of System Control and Information Processing, Ministry of Education of China. ISAS focuses on both theory and applications mainly covering the topics of artificial intelligence, control, automation, robotics and autonomous systems. In addition to the technical sessions, there will be invited sessions, panel sessions and keynote addresses. The topics of interest include, but are not limited to:

  • Artificial intelligence (AI): Artificial intelligence and philosophy, Automated reasoning and inference, Case-based reasoning, Cognitive aspects of AI, Commonsense reasoning, Constraint processing, Heuristic search, High-level computer vision, Intelligent interfaces, Intelligent robotics, Knowledge representation, Machine learning, Multi-agent systems, Natural language processing, Planning and theories of action, Reasoning under uncertainty or imprecision
  • Autonomous Systems: Unmanned system command and control, Cooperative control of unmanned systems, Unmanned system modeling and simulation, Unmanned system dynamics, New concept unmanned systems, Robotic systems, Unmanned aerial vehicles
  • Networked Control Systems: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems
  • Intelligent Control: Adaptive control, Co-operative control, Intelligent systems, Discrete event systems, Multi-agent systems, Neural networks, Fuzzy systems, Control of biological systems
  • Automation: Man-machine interactions, Process automation, Intelligent automation, Factory modeling and simulation, Home, laboratory and service automation, Network-based systems, Planning, scheduling and coordination, Nano-scale automation and assembly, Instrumentation systems, Biomedical instrumentation and applications, Building energy efficiency
  • Robotics: Modeling and identification, Robot control, Mobile robotics, Mobile sensor networks, Perception systems, Micro robots and micro-manipulation, Visual servoing, Search, rescue and field robotics, Robot sensing and data fusion, Localization, navigation and mapping, Dexterous manipulation, Medical robots and bio-robotics, Human centered systems, Space and underwater robots, Tele-robotics, Mechanism design and applications.
  • Emerging Technologies: Internet of things, Cyber-physical systems, Smart buildings, Smart grid, Energy management systems, Big data, Electric vehicles and intelligent transportation.
Keynote Speeches:
  • Professor Jie Chen, Tongji University
  • Professor Jie Huang, The Chinese University of Hong Kong
  • Professor Marios Polycarpou, University of Cyprus
  • Professor Jose Principe, University of Florida
Important Dates (Please check the latest information at www.isas.cqu.edu.cn):
  • February 28, 2019: Extended Deadline for Invited Session Proposals
  • February 28, 2019: Extended Deadline for Full Paper Submission
  • March 28, 2019: Notification of Acceptance/Rejection
  • April 15, 2019: Deadline for Camera Ready Manuscript Submission
  • April 15, 2019: Deadline for Advance Registration

Welcome and look forward to receiving your contributions and attendance to the ISAS 2019!

Frank L. Lewis, University of Texas at Arlington, USA
Hailong Pei, South China University of Technology, China
Yongduan Song, Chongqing University, China
Ning Li, Shanghai Jiao Tong University, China
Kimon P. Valavanis, Denver University, USA
Youmin Zhang, Concordia University, Canada
Tianyou Chai, Northeastern University, China

Frank Lewis, U of Texas at Arlington, lewis@uta.edu

Yongduan Song, Chongqing University, ydsong@cqu.edu.cn
Xinping Guan, Shanghai Jiao Tong University, xpguan@sjtu.edu.cn


ChangyunWen, Nanyang technological University, ecywen@ntu.edu.sg
Cailian Chen, Shanghai Jiao Tong University, cailianchen@sjtu.edu.cn

Wednesday, 13 February 2019

Call for Nominations / Applications for the position of Editor-in-Chief of the IEEE Computational Intelligence Magazine

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE CIS). Additionally, CIM serves as a media of communications between the governing body and its membership of IEEE CIS. Authors are encouraged to submit papers on applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research. Details about the current state of this publication can be found at: https://cis.ieee.org/publications/ci-magazine.

The inaugural issue of CIM was published in February 2006 as the official magazine of IEEE Computational Intelligence Society (CIS).  Gary G. Yen worked hard for CIM as the founding Editor-in-Chief from 2006 to 2009 until Kay Chen Tan assumed the reins in 2010. Hisao Ishibuchi took over these duties in 2014, and his term is completing in 2019. Through their dedicated effort, and with generous support from the members of CIS, the magazine has become one of the most successful and influential periodical publications in the field of computational intelligence.  Its impact, along with its Impact Factor, has grown steadily over the years.  Thanks to the hard work of the EiCs, this technical and societal material is packaged in a classy format, a proud addition to the CIS publication portfolio.

Because Hisao’s term is ending, a new Editor-in-Chief must be appointed to assume leadership in 2020. The IEEE CIS Executive Committee has formed an Adhoc Search Committee to seek suitable candidates to serve as the next EiC of CIM. The Search Committee solicits nominations/applications for this position. Nominees/applicants should be dedicated volunteers with outstanding research profiles and extensive editorial experience. The nomination/application package should include complete CV along with a separate description (max 300 words/topic) on each of the following items:

  • Vision Statement
  • Understanding of the differences between EiC duties of a magazine and journal
  • Challenges, if any, faced by the publication, and a plan to deal with them
  • Editorial Experience
  • Summary of publishing experience in IEEE magazines/journals
  • IEEE Volunteer Experience
  • Institutional Support
  • Current service and administrative commitments
  • Networking with the Community
  • Statement of why the candidate considers himself/herself fit for this position? 

Address any questions, and send the nomination/application package as a single PDF file through email to kellerj@missouri.edu by April 26, 2019.  

Jim Keller, Chair of the Search Committee
Hisao Ishibuchi
Chin-Teng Lin
Pablo Estevez
Kay Chen Tan

Thursday, 7 February 2019

CFP: IEEE Conference on Games (COG) 2019

20-23 August 2019
Queen Mary University of London, UK

The IEEE Conference on Games (IEEE CoG) is a natural evolution of the IEEE Computational Intelligence and Games (IEEE CIG) to embrace a larger scope, in line with the IEEE Transactions on Games. The conference will bring together leading researchers and practitioners from academia and industry in the field of Games, to discuss recent advances and explore future directions. Games offer an excellent domain for the study and application of many research areas including artificial intelligence, computational creativity, game design, technology, education social sciences. The annual IEEE Conference on Games seeks to share insights and cutting-edge research related to game technologies and design, covering scientific, technical, and engineering aspects of games. The conference will also include a varied set of competitions for AI agents where the AI either aims to play games to a high standard, or design new games or game levels.


IEEE CoG 2019 will include presentations of peerreviewed papers, invited talks by high-profile industry and academic leaders, panels, posters and demos. We welcome papers related to all aspects of games, including, but not limited to, the following broad subject areas:

Computational and Artificial Intelligence in Games: advances in and applications of machine learning, search, reasoning, optimization and other CI/AI methods related to video games, board games, computer games, serious games, mathematical games and other types of games. This includes, but is not limited to, methods for game playing, content generation, player modeling, and game adaptation, as well as game-based testing of AI methods.

  • Game Technology: papers on engines, frameworks, graphics, sound, networking and animation.
  • Game Interaction and Player Experience: advances in game interfaces and modeling of player experience and metrics.
  • Game Design: methods, techniques and studies on video and board game design.
  • Games in Education: usage of games for education, learning and development. This includes game competitions used for teaching and research in education institutions.

None of the deadlines will be extended!

Full technical papers: 24th March 2019
Short, competition, vision and demo papers: 14th May 2019
Games Industry track: 11th June 2019


General Chairs:
Diego Perez-Liebana {diego.perez@qmul.ac.uk} &
Sanaz Mostaghim {sanaz.mostaghim@ovgu.de}

Program Chairs: Amy K. Hoover &
Simon M. Lucas & Georgios Yannakakis

Local Chair: Laurissa Tokarchuck

Keynote Chair: Jichen Zhu

Tutorial Chair: Gillian Smith

Competition Chairs: Julian Togelius &
Mike Preuss

Industry Chairs: Sam Devlin & Xenia Neufeld &
Duygu Cakmak & Anders Drachen

Special Session Chair: Dan Ashlock

Finance Chair: Mark Winands

Proceedings Chair: Vanessa Volz

Demonstrations Chair: Antonios Liapis

Publicity and Media Chairs: Raluca D. Gaina &
Jialin Liu

Webmaster: Cristina Guerrero-Romero

Monday, 4 February 2019

CFP: CEC 2019 workshop "Understanding of Evolutionary Optimization Behavior"


We are organising the workshop “Understanding of Evolutionary Optimization Behavior (UEOB 2019)” at the IEEE Congress on Evolutionary Computation 2019 (http://cec2019.org/programs/workshops.html#cec-02) in Wellington, New Zealand.

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to present original research articles in CEC 2019.


The focus of the UEOB 2019 is to highlight theoretical and empirical research that investigates approaches needed to analyze stochastic optimization algorithms and performance assessment with regard to different criteria. The main goal is to bring the problem and importance of understanding optimization algorithms closer to researchers and to show them how and why this is important for future development in the optimization community. This will help researchers/users to transfer the gained knowledge from theory into the real world, or to find the algorithm that is best suited to the characteristics of a given real-world problem.

More detailed information can be found at http://cs.ijs.si/ueob/.

  • Data-driven approaches (machine learning/information theory/statistics) for assessing algorithm performance
  • Vector embeddings of problem search space
  • Meta-learning
  • New advances in analysis and comparison of algorithms
  • Operators influence on algorithm behavior
  • Parameters influence on algorithm behavior
  • Theoretical algorithm analysis


All submissions should be formatted according to the CEC 2019 submission guidelines provided at http://www.cec2019.org/papers.html#submission
All submissions will be handled through EasyChair (https://easychair.org/conferences/?conf=ueob2019) and reviewed by the program committee.

In order to participate to this workshop, a full or a student registration at CEC 2019 is required.

Selected papers will be invited to be extended for a special issue in Natural Computing (https://link.springer.com/journal/11047).

  • Paper submission: 15 March, 2019
  • Notification to authors: 31 March, 2019
  • Early registration: 31 March, 2019
  • Final submission: 15 April, 2019
  • Conference: 10-13 June, 2019


Tome Eftimov
Department of Biomedical Data Sciences, Stanford Medicine
Stanford University

Peter Korošec
Computer Systems Department
Jožef Stefan Institute

Christian Blum
Artificial Intelligence Research Institute (IIIA)
Spanish National Research Council (CSIC)

Saturday, 2 February 2019


16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology

July 9-11, 2019

Certosa di Pontignano, Tuscany, Italy

General chair: Giuseppe Nicosia
Program chair: Barbara Di Camillo
Finance chair: Renato Umeton
Technical co-chairs: Richard Allmendinger, Simone Furini, Emanuele Domenico Giordano
Publicity / proc. co-chairs: Giacomo Baruzzo, Alessandro Zandona

Keynote Speakers:
Pierre Baldi, USA
Riccardo Bellazzi, Italy
Thomas Keane, UK