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  • 24Nov
    conferinte Comments Off on FUZZ-IEEE-Special Session: Bio-inspired Fuzzy Logic Approaches – Interdisciplinary Emergent Technologies

    special session

    FUZZ-IEEE-Special Session:  

    Bio-inspired Fuzzy Logic Approaches – Interdisciplinary Emergent Technologies

    Special Session Organizers:

    Valentina E. Balas, ROMANIA

    Camelia Pintea

    Ahmad T. Azar

    Mario Pavone

    Rabie A. Ramadan

    Nicolaie Popescu-Bodorin

    Aim and Scope
    In the nature there are many examples that could help humanity to develop new projects, to improve and to solve some real life complex problems. The Bio-inspired Fuzzy Systems have the ability to include both natural computing and real life coefficients of uncertainty to keep in balance the solutions of the large-scale static and dynamic problems. The strategies of natural organisms (as ants, bees, nano-bots, swarms, flocks etc.) include adaptation and learning based on  environmental changes, incomplete input information and the presence of noise. That is why Artificial Intelligence uses bio-inspired techniques, like ant colonies, artificial immune systems, swarm intelligence, neural networks, evolutionary computation, and not at last fuzzy logic to solve difficult problems.
    Scope and Topics
    The aim of this special session is provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures, and applications of Bio-inspired Fuzzy Logic systems in Pattern Recognition, Bioinformatics and computational biology, Healthcare, Industry, Microelectronics, Transportation, Green Logistics, Social Network, Web services, Cloud Computing and other domains.

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

    • Fuzzy logic approaches in Evolutionary Computation, Swarm Intelligence,  Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Artificial Immune Systems andother natural computing systems
    • Uncertainty theory,  programming, calculus and processes
    • Adaptive fuzzy pattern recognition
    • Learning based on Fuzzy Rule-Based Systems
    • Fuzzy-Neural and Hybrid schemes in adaptive estimation and control
    • Neuro-fuzzy technologies for medical and bioengineering applications
    • Bio-inspired fuzzy logic controllers for power system stabilizers
    • Agent based modeling and fuzzy logic
    • Multiobjective Bio-inspired Fuzzy Systems
    • Bio-inspired Fuzzy Clustering, Image Classification
    • Computational complexity
    • Microelectronics for Fuzzy and Bio-inspired Systems
    • Bio-inspired fuzzy models applied to cloud computing, transportation problems, systems automation, supply chain management, energy management systems, medicine, wireless networks, in robotics (bots / nano-bots), in social network and web services, complex data analysis: preprocessing and processing and other real life static and dynamic problems.

     

    WEBSITE:  http://iet-cis-ieee.weebly.com/bio-fuzzy-wcci.html

    Valentina E. Balas is currently Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad, ROMANIA. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara since 2003. She is author of more than 170 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences and is evaluator expert for national and international projects. She was participated in many international conferences as General Chair, Organizer, Session Chair and member in International Program Committee. She was mentor for many student teams in Microsoft (Imagine Cup), Google and IEEE competitions in the last six years. She has a great experience in research projects. She is member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Emergent Technologies (IEEE CIS) and member in TC – Soft Computing (IEEE SMCS). Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Join Secretary of Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), Multidisciplinary Academic Body, INDIA. She is a Senior Member of IEEE.

    Camelia M. Pintea is currently working at the Technical University of Cluj-Napoca. Her Ph.D. in informatics and the undergraduate degree in mathematics are from Babes-Bolyai University. She is a member of scientific committees and reviewer of several journals, conferences and member of major international research networks. Dr.Pintea has authored a large number of articles and book-chapters related to combinatorial optimization, applied mathematics, artificial intelligence, metaheuristics, bio-inspired computing, multi-agent systems and complex systems. She is a Senior Member IEEE and co-chair of the Interdisciplinary Emergent Technologies task force, IEEE-IET-CIS.

    Ahmad Azar has received the Ph.D degree (2009) in Adaptive Neuro-Fuzzy Systems from Faculty of Engineering, Cairo University (Egypt). He is currently assistant professor, Faculty of computers and information, Benha University, Egypt. Dr. Azar is the Editor in Chief of the International Journal of System Dynamics Applications, International Journal of Rough Sets and Data Analysis and International Journal of Service Science, Management, Engineering, and Technology published by IGI Global USA. He is the Editor in Chief of International Journal of Intelligent Engineering Informatics, Inderscience Publishers, UK. Dr Azar is associate editor of IEEE Trans. Neural Networks and Learning Systems. He is also IEEE SM and vice-chair of the Interdisciplinary Emergent Technologies task force, IEEE-IET-CIS.

    Mario Pavone is currently working in computational intelligence at the University of Catania. His research is focused on the design and develops of artificial immune systems, and other nature-inspired algorithms applied on combinatorial, numerical and systems biology problems. He was guest editor for special issues, published in Natural Computing and Memetic Computing journals. He was chair of conferences/workshops as ICARIS, PPSN 2012 and ECAL 2013. He is director of the Synthetic and Systems Biology Summer School and chair of the first international workshop on AIS 2015 and Hybrid Metaheuristics 2016. He is co-founder of TaoScience Research center; he is IEEE SM, chair of the TF-Artificial Immune Systems IEEE-CIS and vice-chair of the IEEE-IET-CIS task force.

     Rabie A. Ramadan has received the Ph.D degree (2007) in Computer Engineering, Wireless Sensor Network from Southern Methodist University, Dallas, Taxes, USA. He is currently Associate professor at Computer Engineering Department, Cairo University. From 2012 he is a supervisor of FP7 project related to high energy physics and high performance computation. He was a supervisor of the 1st place team in the International Robocop competition in Singapore, 2010. He is co-founder of Ambient Intelligent Center at German University in Cairo and co-founder of the IEEE Egypt CIS Chapter in 2008. He was the Chair of the IEEE–CIS Egypt Chapter (2009-2011), vice-chair (2008-2009), secretary, treasurer since 2012 and won the 2011 outstanding chapter award. He acquired a great knowledge and experience in leading and organizing many of the IEEE activities.

    N. Popescu-Bodorin worked as a lecturer at Spiru Haret University and running the Artificial Intelligence and Computational Logic Laboratory. He is currently working as a lecturer at University of S-E Europe Lumina where he founded the Applied Computer Science Testing Laboratory. His areas of interest are artificial intelligence, computational logic, modal/fuzzy/crisp/n-valued logic, image processing, biometrics, algorithms, information theory etc. He was member of Programme Committees for international conferences as IEEE SMC 2013-2015, IEEE-FUZZ 2012 and organizer of several Special Sessions in international conferences as IFSA 2015, FUZZ-IEEE 2014, 2015.

     

  • 24Nov
    conferinte Comments Off on FUZZ-IEEE-Special Session: Medical Image Analysis based Computational Intelligence Techniques

    Medical Image Analysis based Computational Intelligence Techniques


     

    FUZZ-IEEE-Special Session:  Medical Image Analysis based Computational Intelligence Techniques

    Special Session Organizers:

    Nilanjan Dey, INDIA

    Amira S. Ashour, KSA

    Dana Balas Timar, ROMANIA

    Valentina Emilia Balas, ROMANIA

    Aim and Scope:
    Recently, the researchers’ intensive focus is attracted to medical image analysis studies. Neural network applications in computer-aided diagnosis (CAD) signify the foremost stream of computational intelligence in medical imaging. Moreover, neural networks are capable to optimize the inputs/ outputs relationship via distributed computing, training, and processing. This leads to reliable desired solutions by specifications, and medical diagnosis.
    In the medical domain, the relation between accurate diagnosis and treatment can be assessed. Through medical imaging modalities physicians are able to collect/ measure information in the form of signals and/ or images that replicate the anatomical structure as well as the human body function. This field takes compensation of computer progress. In sake of effective diagnosis, computer aided systems become a must to construe and combine the acquired images for the purpose of diagnosis and intervention.
    In spite of the success achieved by neural network in the medical domain, constructing multilayer neural networks includes challenging optimization problems.
    This session focuses on computational intelligence with neural networks covering medical image segmentation, registration, and edge detection for medical image analysis. In addition, computer-aided detection/ diagnosis with precise coverage on cancer screening, and other applications gives a global view on the variety of neural network applications and their potential for further research and developments.
    Consequently, this special session is designed to allow the researchers, designers and developers to publish innovative and state-of-the art algorithms and architectures for medical image analysis based neural network with computational computing techniques.
    The aim of this special session is to explore the existing neural network with computational intelligence to develop new efficient algorithms, to discussion of the existing problems/ challenges, and to propose solutions, and to collaborate for promising future research direction in the medical domain analysis based computational computing and machine learning.

    Topics:

    • Fuzzy logic and Neural networks in diagnosis in medicine
    • Fuzzy logic, Neural Networks/ Machine Learning in medicine- Theory and Application
    • Medical imaging modalities
    • Medical image and signal analysis
    • Visualization techniques
    • Segmentation and classification of medical images
    • Computer aided diagnosis (CAD) systems
    • Theoretical analysis of Neural Networks
    • Supervised learning and Unsupervised learning
    • Semi-supervised learning
    • Evolutionary Computation/ genetic algorithms in Neural Networks
    • Computational Intelligence in medicine
    • Classification using non-standard metrics
    • Machine learning methods in cancer
    • Computational Intelligence in Biomedicine
    • Recent developments in classification/clustering algorithms
    • Empirical analysis of Computational Intelligence algorithms for medical image analysis
    • Novel trends for medical image analysis based neural network with computational intelligence.

    Nilanjan Dey is an Asst. Professor in the Department of Information Technology in Techno India College of Technology, Rajarhat, Kolkata, INDIA. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization-of-gientifig and Engineering Unions, BULGARIA. He is the Managing Editor of International Journal of Image Mining (IJIM), Inderscience, Regional Editor-Asia of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience and Associated Editor of International Journal of Service Science, Management, Engineering, and Technology, IGI Global. His research interests include: Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Robotics and Systems, Information Hiding, Security, Computer Aided Diagnosis, Atherosclerosis. He has 8 books and 150 international conferences and journal papers. He is a life member of IE, UACEE, IS

    Amira S. Ashour is Assistant Professor and Vice Chair of Computers Engineering Department, Computers and Information Technology College, Taif University, KSA. She was the vice chair of Computer Science department, CIT college, Taif University, KSA, for 5 years. She is a Lecturer of Electronics and Electrical Communications Engineering, Faculty of Engg., Tanta University, Egypt. She received her PhD in Smart Antenna (2005) in the Electronics and Electrical Communications Engineering, Tanta University, Egypt. She had her Masters in Enhancement of Electromagnetic Non-Destructive Evaluation Performance using Advanced Signal Processing Techniques in Faculty of Engineering, Egypt, 2000. Her research interests include: image processing, medical imaging, smart antenna and adaptive antenna arrays.

     Dana Balas-Timar, PhD. student (final stage – Human resources management with fuzzy logic, coord. Prof. dr. Mircea Miclea), is Asst. Professor in the Faculty of Educational Sciences, Psychology and Social Sciences at Aurel Vlaicu University of Arad, Romania. She holds a double specialization in Psychology and Automation and Applied Informatics. She was a Visiting Professor at Instituto Superior Miguel Torga in Coimbra, Portugal and research scientist in more than 9 European Union funded projects. She is member in the editorial review board of Agora and International Journal of Rough Sets and Data Analysis. Her research interests include: Cognitive Science, Organizational Psychology, Multiple Criteria Decision Making, Fuzzy logic, Nonlinear Dynamics, etc. She is author of 7 books and 40 international conferences and journal papers. She is a member of IANLP, IACAT, IAENG and APA.

    Valentina E. Balas is currently Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad, ROMANIA. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara since 2003. She is author of more than 170 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences and is evaluator expert for national and international projects. She was participated in many international conferences as General Chair, Organizer, Session Chair and member in International Program Committee. She was mentor for many student teams in Microsoft (Imagine Cup), Google and IEEE competitions in the last six years. She has a great experience in research projects. She is member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Emergent Technologies (IEEE CIS) and member in TC – Soft Computing (IEEE SMCS). Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Join Secretary of Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), Multidisciplinary Academic Body, INDIA. She is a Senior Member of IEEE.

  • 24Nov
    conferinte Comments Off on FUZZ-IEEE-Special Session: Adaptive fuzzy control for nonlinear systems

    FUZZ-IEEE-Special Session


     

    FUZZ-IEEE-Special Session:  Adaptive fuzzy control for nonlinear systems

    Special Session Organizers:

    Valentina E. Balas, ROMANIA

    Tsung-Chih Lin, TAIWAN

    Rajeeb Dey, INDIA

    Yu-Chen Lin , TAIWAN

    Seshadhri Srinivasan, ITALY

     

    Aim and Scope:
    The aim of this special session is to present the state-of-the-art results in the area of adaptive intelligent control theory and applications and to get together researchers in this area. Adaptive control is a technique of applying some methods to obtain a model of the process and using this model to design a controller. Especially, fuzzy adaptive control has been an important area of active research. Significant developments have been seen, including theoretical success and practical design. One of the reasons for the rapid growth of fuzzy adaptive control is its ability to control plants with uncertainties during its operation.
    The papers in this special session present the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge and nonlinear intelligent adaptive control techniques. This special session aims to provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures and applications of hybrid and adaptive systems.

     

    Topics of interest include, but are not limited to:

    • Fuzzy Self-Organizing Controllers
    • Adaptive Fuzzy Control Design
    • Fuzzy Applications
    • Fuzzy Modeling and Simulation
    • Fuzzy Model Reference Learning Controller
    • Hybrid adaptive fuzzy control
    • Robust adaptive fuzzy control
    • Adaptive fuzzy sliding-mode control
    • Time-Delay Nonlinear Systems
    • Adaptive and learning control theory
    • Adaptive control of processes
    • Data based auto-tuning of the controller
    • Estimation and identification and its application to control design
    • Cooperative Control
    • Hybrid Intelligent Control

    Valentina E. Balas is currently Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad, ROMANIA. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara since 2003. She is author of more than 170 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences and is evaluator expert for national and international projects. She was participated in many international conferences as General Chair, Organizer, Session Chair and member in International Program Committee. She was mentor for many student teams in Microsoft (Imagine Cup), Google and IEEE competitions in the last six years. She has a great experience in research projects. She is member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Emergent Technologies (IEEE CIS) and member in TC – Soft Computing (IEEE SMCS). Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Join Secretary of Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), Multidisciplinary Academic Body, INDIA. She is a Senior Member of IEEE.

    Tsung-Chih Lin received the B.S. degree in Electronic Engineering from the Feng Chia University, Taichung, Taiwan in 1984, the M.S. in Control Engineering from the National Chiao Tung University in 1986 and the Ph.D. degree in the School of Microelectronic Engineering, Griffith University, Brisbane, Australia in 2002.
    He is currently a Professor in the Department of Electronic Engineering, Feng-Chia University, Taichung, Taiwan. His current research interests and publications are in the areas of adaptive control, fuzzy-neural-network, robust control and analog circuit testing. He is member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences. He participated in many international conferences as Session Chair and member in International Program Committee. He is a Senior Member IEEE.

    Rajeeb Dey is currently a post doctoral fellow at CINVESTAV-IPN, Mexico City, Mexico D.F. He holds a permanent position as a Assisant Professor in the Department of Electrical Engineering at National Institute of Technology, Silchar, Assam, India. He obtained M.Tech in Control System Engineering, from Indian Institute of Technology, Kharagpur, India and subsequently PhD degree also in Control System Engineering from Jadavpur University, Kolkata, India. His research interest includes Design of Robust Control, Optimization based on LMI techniques, Time-Delay Systems, Intelligent–Control, Decentralized control, Control applications in Bio-medical control engineering. He has published around 25 research articles in International Journals and Conferences. He has been invited speaker and session chair in many IEEE international conferences. He is reviewer of over 15 SCIE journals related to Applied Mathematics and control engineering. He has been awarded as a National Associate by Department of Bio-Technology, Govt. of India to work on Artificial Pancreas project at IISc Bangalore, India. He received AICTE (Govt. of India) funded research project for Implementation of Output delay feedback control on Inverted Pendulum experimental set-up and students working on this project has been awarded as best B.Tech project by Indian National Academy of Engineers (INAE) in 2010. He is a Senior Member of IEEE Control System Society, Member of SIAM and Life Member of System Society of India.

    Yu-Chen Lin received the M.S. degree in Automatic Control Engineering from the Feng Chia University, Taichung, Taiwan in 2005, and the Ph.D. degree in electrical engineering from the National Chung Hsing University, Taichung, in 2009.
    He was a Researcher with the Department of Safety Sensing and Control, Intelligent Mobility Technology Division, Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan, from 2009 to 2014. He is currently an Assistant Professor with the Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan. His research interests include optimal control, intelligent control, robust control, computer vision, image processing, vehicle active safety and control. He is a Member IEEE.

    Seshadhri Srinivasan is currently working with the Group of Researchers in Automatic Control Engineering (GRACE), University of Sannio, Benevento, Italy. He obtained his PhD in Control Systems from National Institute of Technology-Tiruchirappalli, and Masters from Anna University, Chennai, India. He worked as an Associate Scientist in ABB Corporate research and as a Scientist with Center for Excellence in Nonlinear Systems (CENS), Estonia. His research interests are in smart grids, networked control systems, cyber-physical systems, and model checking software systems. He has published around 50 research articles in International Journals and Conferences. He has been in the organizing committee of many conferences and reviewed for leading journals. He has worked in two EU projects on smart grids (I3RES and eGotham), and complex networked control systems. He is a member of IEEE, ACCS and has been actively involved in various activities of the society.