IEEE CIS Distinguished Lecture Program: Call For Nominations

The CIS Distinguished Lecturer Program (DLP) supports local CIS Chapters and CIS members by helping them to invite leading researchers in their respective fields. DLP speakers act as ambassadors of the society during their visit to local chapters and foster professional activities in the area. http://ieee-cis.org/members/dlp/

Nominations are solicited for Distinguished Lecturers for the period of 2017-2019. Nominations can be made by the following CIS members: Chapter Chairs, TC Chairs, AdCom/ExCom Members, EICs, and past distinguished lecturers. Nominations should be submitted to the Chair of the CIS Distinguished Lecturer Program, Barbara Hammer bhammer@techfak.uni-bielefeld.de. Please submit nominations and/or encourage qualified members to nominate DLP speakers by the AUGUST 30, 2016 deadline.

For further details on the nomination process and the DLP please visit http://cis.ieee.org/distinguished-lecturers-program.html.

Call For Paper: TAAI-2016

The 2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016) http://www.cs.nthu.edu.tw/~taai2016/ is the 21st annual conference sponsored by the Taiwanese Association for Artificial Intelligence (TAAI) and one of the most important annual academic meetings on Artificial Intelligence in Taiwan. The conference will be held during 25-27 November, 2016 in Hsinchu, Taiwan. The conference is open to international participants, and the number of international participants from various countries increases constantly in the past few years. For instance, the Japanese Society for Artificial Intelligence (JSAI) and the TAAI association promoted exchange visits in the earlier JSAI annual meetings and the TAAI conferences. The purpose of TAAI conference is to bring together researchers, engineers, and practitioners to present and exchange ideas, results, and experiences in AI technologies and applications. Topics of particular interest include, but are not limited to:

• Agents
• AI Applications
• AI Architectures
• Automated Reasoning
• Cloud Computing in AI
• Cognitive Modeling
• Computer Games
• Intelligent Environments
• Intelligent Human-Computer Interaction
• Knowledge-Based Systems
• Knowledge Representation
• Logics in AI
• Machine Learning
• Mobile Intelligence
• Computer Supported Collaborative
• Learning & Personalized Learning
• Natural Language Processing
• Pattern Recognition
• Data Science
• Planning
• Computer Vision
• Data Mining
• Distributed AI
• Evolutionary Computation & Genetic Algorithms
• Probabilistic and Uncertain Reasoning
• Problem Solving and Search
• Robotics
• Fuzzy Systems
• Hybrid Systems
• Information Retrieval
• Semantic Web
• Social Computing
• Speech Recognition and Synthesis
• Intelligent E-Learning & Tutoring
• Ubiquitous Intelligent Applications
• Web Intelligence
• Big Data Analysis

Important dates

Submission deadline: Aug 24, 2016.
Acceptance notification: Sep. 15, 2016.
Registration: Aug. 15, 2016.
Camera ready date: Sep. 30, 2016.
Conference dates: Nov. 25-27, 2016

CALL FOR PAPERS: Symposium on "Intelligence for Embedded and Cyber-physical Systems" (IntECS 2016) at IEEE Symposium Series in Computational Intelligence 2016

6 – 9 December 2016, Athens, Greece (http://ssci2016.cs.surrey.ac.uk/)

IntECS 2016 Web site: http://ietecs-ssci.deib.polimi.it

*Important Announcement: DEADLINE EXTENSION*

The symposium on "Intelligence for Embedded and Cyberphisical Systems"  (IntECS 2016)  is extending its paper submission to August 15, 2016 (according to the SSCI 2016 new deadline). Please note that this is a strict deadline and that there will be no further extensions. Therefore, we would like to kindly encourage you to submit your paper(s) early rather than wait until the very end. Thank you for considering to submit to the symposium and we look forward to having the opportunity seeing you in Athens!

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IMPORTANT DATES

Paper submission:  August 15, 2016 (Extended and final)

Author notifications: September 12, 2016 

Camera-ready submission: October 10, 2016

Early registration: October 10, 2016

Conference Dates: December 6 - 9, 2016

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In recent years, there has been an increasing interest in designing embedded and cyber-physical systems featuring intelligent skills. Beside addressing the specific tasks they have been designed for, these systems are expected, for example, to autonomously make decisions/activate reactions, perform self-diagnosis, and learn from and interact with the operating environment.

This symposium addresses novel and emerging computational-intelligence and machine-learning solutions to provide such an intelligent behavior to embedded and cyberphisical systems. IntECS aspires at providing a forum for researchers who are actively working on intelligent embedded and cyberphisical systems and, more in general, on computational intelligent solutions for real world applications.

The symposium will be held within the IEEE 2016 Symposium Series in Computational Intelligence (6 – 9 December 2016, Athens, Greece)

*Topics*

. Intelligence for embedded systems

. Intelligence for cyber-physical systems

. Cognitive fault-diagnosis systems

. Smart objects and Internet of Things

. Intelligent sensor networks

. Intelligent sensors and robotics

. Intelligent measurement systems

. Adaptive solutions to operate in evolving/changing environments

. Intelligent systems for real-world applications

. Computational intelligence techniques for smart buildings and critical-infrastructure monitoring

*Keywords*

Embedded systems, cyber-physical systems, fault-diagnosis systems, intelligent applications, intelligent sensors, intelligent sensor networks, Computational Intelligence,  Internet of Things.

*Symposium Organizers*

- Cesare Alippi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) 

- Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) 

- Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) 

*Technical Program Committee*

Rami Abielmona, Larus Technologies, Canada

Maurizio Bocca, Bosch Research and Technology Center, CA, USA

Ana-Maria Cretu, Université du Québec en Outaouais, Canada

Guilherme DeSouza, University of Missouri-Columbia, MO, USA

Michalis Michaelidis, Cyprus University of Technology, Cyprus

Stavros Ntalampiras, Politecnico di Milano, Italy

Mimmo Parente, Università di Salerno, Italy

Vicenç Puig, Universitat Politècnica de Catalunya, Spain

Yew-Soon Ong, Nanyang Technological University, Singapore

Stefano Squartini, Università Politecnica delle Marche, Italy

Dongbin Zhao, University of Chinese Academy of Science, China

*Paper Submission Procedure*

Submissions must contain original, high quality, not submitted or elsewhere published work. Authors must submit their paper through the IEEE SSCI 2016 webpage http://ssci2016.cs.surrey.ac.uk/

Accepted papers will be included in the IEEE SSCI 2016 proceedings and indexed through IEEExplore.

Further information and Paper submission can be found at the IEEE SSCI 2016 webpage http://ssci2016.cs.surrey.ac.uk/

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The call for papers as well as more detailed information can be retrieved from IntECS 2016 webpage

http://ietecs-ssci.deib.polimi.it

and from the main SSCI 2016 webpage

http://ssci2016.cs.surrey.ac.uk/

Please make sure you select:

"Intelligence for Cyber-physical and Embedded Systems" (IntECS 2016) during the submission process

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IEEE Transactions on Neural Networks and Learning Systems;Volume 27, Issue 7, July 2016.

1. Probe Machine
Author(s): Jin Xu
Page(s): 1405 - 1416

2. Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection
Author(s): Ping Luo; Liang Lin; Xiaobai Liu
Page(s): 1417 - 1428

3. Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery
Author(s): Sanqing Hu; Hui Wang; Jianhai Zhang; Wanzeng Kong; Yu Cao; Robert Kozma
Page(s): 1429 - 1444

4. Alternative Multiview Maximum Entropy Discrimination
Author(s): Guoqing Chao; Shiliang Sun
Page(s): 1445 - 1456

5. Parallel Online Temporal Difference Learning for Motor Control
Author(s): Wouter Caarls; Erik Schuitema
Page(s): 1457 - 1468

6. Sparse Uncorrelated Linear Discriminant Analysis for Undersampled Problems
Author(s): Xiaowei Zhang; Delin Chu; Roger C. E. Tan
Page(s): 1469 - 1485

7. Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity
Author(s): Chuan-Ke Zhang; Yong He; Lin Jiang; Min Wu
Page(s): 1486 - 1501

8. Compound Rank-k Projections for Bilinear Analysis
Author(s): Xiaojun Chang; Feiping Nie; Sen Wang; Yi Yang; Xiaofang Zhou; Chengqi Zhang
Page(s): 1502 - 1513

9. Constrained Clustering With Nonnegative Matrix Factorization
Author(s): Xianchao Zhang; Linlin Zong; Xinyue Liu; Jiebo Luo
Page(s): 1514 - 1526

10. Control of Large-Scale Boolean Networks via Network Aggregation
Author(s): Yin Zhao; Bijoy K. Ghosh; Daizhan Cheng
Page(s): 1527 - 1536

11. Near-Optimal Controller for Nonlinear Continuous-Time Systems With Unknown Dynamics Using Policy Iteration
Author(s): Samrat Dutta; Prem Kumar Patchaikani; Laxmidhar Behera
Page(s): 1537 - 1549

12. Image Super-Resolution via Adaptive  \ell _{p} (0< p< 1) Regularization and Sparse Representation
Author(s): Feilong Cao; Miaomiao Cai; Yuanpeng Tan; Jianwei Zhao
Page(s): 1550 - 1561

13. Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints
Author(s): Yan-Jun Liu; Jing Li; Shaocheng Tong; C. L. Philip Chen
Page(s): 1562 - 1571

14. Learning Spike Time Codes Through Morphological Learning With Binary Synapses
Author(s): Subhrajit Roy; Phyo Phyo San; Shaista Hussain; Lee Wang Wei; Arindam Basu
Page(s): 1572 - 1577

15. Saturated Finite Interval Iterative Learning for Tracking of Dynamic Systems With HNN-Structural Output
Author(s): Wenjun Xiong; Daniel W. C. Ho; Xinghuo Yu
Page(s): 1578 - 1584

16. Pinning Control Design for the Stabilization of Boolean Networks
Author(s): Fangfei Li
Page(s): 1585 - 1590

17. Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?
Author(s): Qiaolin Ye; Jian Yang; Tongming Yin; Zhao Zhang
Page(s): :1591 - 1598