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The third annual NASTEC conference will cover:
Soft computing Everywhere Theory and Practice
This track covers: Soft Computing as the foundation of Artificial Intelligence, Engineering of Soft Computing Systems, Architectures of Hybrid Soft Computing Systems, Learning Systems, Fuzzy Logic, Neural Networks, Probabilistic Reasoning, Chaos Computing, Fractal Theory, Evolutionary Algorithms and Their Real World Applications to Mission-Critical Systems, Modeling and Simulation, Automated Modeling, Medical Diagnosis, Fault Detection and Quality Control, Modeling Human Factors using Soft Computing, Human-Centered Soft Computing, Games, Smart and Fuzzy Control, Image Processing, Pattern Recognition and Speech Processing, Decision Analysis and Support, Planning and Scheduling, Intelligent Signal Processing, Smart Security and Fuzzy Models in Biometrics, Fuzzy Models in Bioinformatics, Granular Computing, Intelligent Simulation, Software Effort, Cost and Quality Prediction, Performance Analysis and Optimization, Evolving Software Systems and Machines, Fundamentals of Soft Computing, Uncertainty in Soft Computing, Knowledge Management, Intelligent Agents, Intelligent Simulation, Simulation Under Uncertainty, Simulation in Fuzzy Systems, Fuzzy Cluster Analysis, Information Fusion, Fuzzy Software Project Management, Fuzzy Databases, Fuzzy Information Retrieval, Fuzzy Computational Linguistics, Fuzzy Approximation Theory, Fuzzy Computational Learning Theory, Non-Monotonic Reasoning, Fuzzy Default Logic, Fuzzy Case-based Reasoning, Fuzzy Logic Programming, Fuzzy Prolog, Soft Computing for Embedded Systems, Validation and Verification of Hybrid Soft Computing Systems, Assessment, Evaluation and Certification of Hybrid Soft Computing Systems, Testbeds, Standards and Benchmarks for Soft Computing, Fusion of Hard(Symbolic) Computing and Soft Computing, Fuzzy Hardware Devices, Hardware Implementation of Soft Computing Systems, Soft-Computing related prototypes, tools, shells and IDEs, Reverse Engineering of Hybrid Computing Systems, Best Practices in Soft Computing, Open Source for Soft Computing, Usability of Soft Computing Systems, Soft Computing for Education and Training, Trends and Advances in Soft Computing, Next-Generation Hybrid Soft Computing Systems, Ethics in Soft Computing, Emerging New Computing Paradigms, Beyond Soft Computing
Submit your proposal here.
Soft Computing for Simulation-based and Data-driven Software Engineering
This track covers: Complex System Modeling, Mathematical Modeling and Analysis of Complex Systems, Prediction in and Control of Complex Systems, Hardware/Software Co-design for Complex Systems, Complex System Simulators, Integrating Simulation and Design, Simulation Methodology, Simulation in Software Development, Software for Monte Carlo Simulations, Software for Fuzzy HMM Simulations, Software for Fuzzy Petri Nets Simulations, Performance Analysis and Optimization, Reliability Engineering, Fuzzy Mathematical and Computational Tools in Metrology, Simulation-based Software Design Methodologies, Simulation of Fuzzy Scheduling, Simulation Software Development Frameworks, Simulation Oriented Development Environments, Requirements and Simulation, Simulation for Software Project Management, Fuzzy Simulation Languages, Tools and Environments, Simulation of Learning and Adaptation Processes, Mathematics of Soft Computing, Simulation of Hybrid Soft Computing Systems, Simulation of Evolutionary Synthesis and Evolutionary Methods, Simulation of Interactive Evolutionary Computation, Computing Tools for Modeling, Optimization and Simulation, Modeling and Scientific Computing, Simulation-based Financial Engineering, Simulation on Military and Defense, Artificial Life, Virtual World, Evolved Virtual Creatures, Simulation and Training, Validation, Verification and Accreditation, Simulation-based Problem Solving Environments, Synergy of Soft computing and Simulation, Synergy of Soft Computing and Modeling, Synergy of Soft Computing and Software Engineering, Simulation Standards, Authoring Software for WWW, Case Studies, Real World Applications and Industrial Experience Reports, Future of Simulation Software, Ethics in Simulation
Submit your proposal here.
Modeling, Simulation and Soft Computing Educator's Track
The Educator's Track is intended as a forum in which educators and trainers can meet to discuss pedagogy, use of technology and share their experience pertaining to Modeling, Simulation and Soft Computing (MS&SC).
Modeling, Simulation, Soft Computing approaches and technologies raise the level of abstraction and thus improve our abilities to resolve complex systems in incomplete, random, uncertain and imprecise environments.
Putting this vision into practice requires not only sophisticated MS&SC approaches and tools, but also considerable training and education effort. Practitioners in industry and education/training specialists need to understand the principles underlying MS&SC, and the strengths and limitations of current MS&SC tools, techniques. Such understanding is needed for proper selection and use of MS&SC technologies to resolve complex industrial and business problems.
Industry is striving to improve their practice by adopting MS&SC. The adoption, nevertheless, is determined by the availability of skilled Simulationists, Modelers and Soft Computing Engineers who have been educated and trained in MS&SC. MS&SC educators and trainers can influence the practices in Business and industry by producing an increasing number of graduates with deep understanding of MS&SC principles, technologies and challenges.
The Educator's Track, the premier Track (in International Conferences) devoted to the topic of Educational issues of MS &SC, is intended as a forum in which educators and trainers can meet to discuss pedagogy, use of technology in the classroom, and share their experience pertaining to teaching MS &SC. We would like to focus discussions on the resources needed to effectively educate future MS&SC practitioners. In particular, we would like to hear about efforts on developing community-based MS&SC education resources, that is, resources that allow educators in the MS&SC community to share, evaluate, and evolve education artifacts. These artifacts should be based upon synergies between industrial needs and academic education and research goals. We encourage papers on the following topics:
- Education artifacts that can be effectively shared through a community-based MS&SC resource
- Descriptions of existing community-based MS&SC education resources
- Plans for developing and maintaining community-based education resources
We also encourage papers of general interest, including papers on:
- Designing university courses at various levels with industrial needs in mind
- How to include industrial experiences into teaching MS&SC
- How to ensure and assess industrial relevance of the contents of MS*SC courses
- How to assess industrial relevance of the teaching/learning process
- How the teaching of MS&SC techniques influences industrial practices
- Methodology issues (how to teach MS&SC) with industry in mind
- Integrating MS&SC into the computer science and software engineering curriculum (how do they fit)
- Teaching MS&SC and associated tools (available tools and environments)
- Experience reports from designing university courses in MS&SC with industrial focus
- Requirements from industry for university education in MS&SC
- Experiences from industry about university education in MS&SC
- Case studies on required skills for realizing the vision of MS&SC.
Submit your proposal here.
Soft Computing for Bio-informatics, Systems Biology and Medical Informatics
Problems concerning computational techniques in bio-informatics, systems biology and medical informatics with a particular focus on Soft Computing and the hybridization and fusion of Neural Networks, Machine Learning, Fuzzy Logic, Chaos Theory, Probabilistic Reasoning and Evolutionary Computation methods.
Technical areas addressed include, but are not limited to:
- Sequence analysis, promoter analysis and identification of transcription factor binding sites;
- Gene expression data analysis; Methods for the integration of clinical and genetic data;
- Algorithms for alternative splicing analysis; Methods for the functional classification of genes;
- Methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data;
- Prediction of secondary and tertiary protein structures;
- Mass spectrometry data analysis in proteomics;
- Methods for comparative genomics;
- Algorithms for molecular evolution and phylogenetic analysis;
- Mathematical modeling and simulation of biological systems;
- Heterogeneous data integration and data fusion for diagnostics;
- Bio-molecular databases and data mining;
- Algorithms for pharmacogenetics;
- Biomedical text mining and imaging;
- Methods for diagnosis and prognosis;
- Software tools for bioinformatics
Submit your proposal here.
Web-centric Computing
This track covers Web-Centric Engineering, Web-Intensive Databases, XML Databases, Engineering of Web-based Information Systems, Intelligent Web Portals, Web-based Workflow Modeling and Simulation, Web-Centric Knowledge Management, Distributed and Federated Databases, SOA and Web Services, Quality of Web Services, Software Architectures for Web Services, Middleware, Testing and Simulation Tools for Middleware, Embedded Service-Oriented Systems, Computer-Aided Verification, Uncertainty Reasoning in WWW, Web Simulation-based Problem Solving Environments, Cognitive and Emotive Simulations, Wireless Mobile Web, Information Integration, Web Metrics, Monitoring and Analysis, Validation and Verification, Test and Integration, Maintenance and Evolution, Formal Verification of Transactional Systems, Web and Databases Security, Smart Computer Security, Privacy, Intelligent Web Agents and Web Robots, Agents for Digital Cities, Virtual Communities and Agent Societies, Agent Supported Cooperative Work, Web and Data Mining, Smart Biometrics, Web Engineering, Web Embedded Systems, Remote Control of Devices, Advanced Web Collaborative Environments(C/S, P2P and Hybrid), Soft Grid Computing, Web Social Networks, Web Community Mining and Social Network Analysis, Web Intelligence, Semantic Web and Ontology Engineering, Web-based Support Systems, Web Interface Engineering, Web Adaptive User Interfaces, Web Context-Aware User Interfaces, Multimedia Web Databases, Web GIS, Digital Library, Adaptive Intelligent Hypermedia Systems, Web Personalization, User Modeling, Web Simulation and Animation, Advanced Web Authoring and Development, Synergy of Soft Computing and Web Computing, Theoretical Basics of Web Searching and Browsing Algorithms, Web Computing Education, Case Studies, Industrial Experiences and Real World Applications, Trends and Advances in Web Computing, Next-Generation Web Computing Systems and Emerging Web Technologies, Beyond Web Computing, Ethics in Simulation-based Web Computing
Submit your proposal here.
Virtual Reality Applications
As a result of improved computing applications, graphics and AI, VR applications have now at last attained the level of realism they have sought since the 1990's. This track aims to cover the latest developments in VR applied to pure science, real world applications, training and entertainment.
Submit your proposal here.
Simulation for Educational Technology and E-learning
Virtual Classroom and Virtual Campus, Architectures for Educational Technology Systems, Design of Distance Learning Systems, Distributed Learning Environments (C/S, P2P, Hybrid), Open Source and E-learning Platforms Design, Usage, Administration and Development (Moodle), Inquiry-based Learning Systems, Simulation-based Training, WWW-based Course-Support Systems, Intelligent Coursware Design, Constructivist Perspectives (Moodle), Fuzzy and Soft Learning Agent, Fuzzy and Soft Tutorials, Cooperative/Collaborative Learning, Instructor Training and Support, Teaching/Learning Strategies and Pedagogical Issues, Groupware & WWW-based Tools, Interactive Learning Environments, WWW-based Course Sites & Learning Resources (Moodle), Site Management Considerations (Moodle), Infrastructure, Technology & Techniques, New Roles for Teachers/Learners, Copyrights, Ethics, Policy and Law.
Submit your proposal here.
Reality Mining and Surprise Modelling
While on the one hand reality mining, is all about paying attention to patterns in life and using that information to help [with] things like setting privacy patterns, sharing things with people, notifying people; basically, to help you live your life. On the other hand, surprise modelling is a new concept which combines data mining and machine learning to help people do a better job of anticipating and coping with unusual events. Combining massive quantities of data, insights into human psychology, and machine learning can help manage surprising events. The machine used has to have both knowledge--a good cognitive model of what humans find surprising--and foresight: some way to predict a surprising event in time for the user to do something about it.(f ex. by using SmartPhlow)
And putting these two together will help researchers at getting better at making sense of all that information which has been presented to them.
Submit your proposal here.
Cloud for Simulation Driven Engineering
Mechanical Simulations, Optimization Code on the Cloud
Submit your proposal here.
Industrial Simulation Track
This track covers the following topics: Simulation and Analysis Methodology, Discrete Simulation Languages and Tools, Ambient Intelligence and Simulation, Simulation in Manufacturing, Steel Manufacturing and New Materials Manufacturing, Simulation in Automotive Systems, Simulation in Robotics, Simulation in Electronics, Computers and Telecommunications, Electronics Manufacturing Simulation, Simulation in Electronics Manufacturing, Simulation in Computer Science, Simulation in Logistics, Traffic, Transport, Harbours, Hospitals, Complex Systems Modelling, Simulation in Aerospace, Marine Simulation, Simulation in Industrial and Product Design, Simulation in Engineering Processes, Simulation in Civil and Building Engineering, Simulation in Energy and Power Systems, Simulation in Multibody Systems, Simulation in Chemical, Petroleum and Mining Engineering, Simulation in Military and Defense, Verification, Validation and Accreditation, VR and Graphical Simulation in Industry, Simulation and Training, Modelling and Simulation in the Textile Industry, Modelling and Simulation in Sports Engineering, Intelligent Transport Systems, Simulation in Nanotechnology, Augmented Reality and Pervasive Systems in Factories and Lean Manufacturing Simulation
Submit your proposal here.
Logistics and Supply Chain Simulation
Inventory Theory and Management, Supply Chain Optimization and Network Design, Production Scheduling and Sequencing, Humanitarian Logistics Simulation, Inter-Firm Collaborations for Logistics, Sustainable Logistics and Supply Chains, Optimization of Production and Assembly Lines Design, Robust Supply Chain Management, Demand Driven Supply Networks, Reconfigurable Manufacturing Systems: Design and Operational Strategies, Project Planning and Control, Inventory and Routing, Hospital Supply Chains, Maintenance, Cargo and Shipment Management, Strategic and Operational Carrier Selection in Transportation Auctions, Innovations in Advanced Planning and Scheduling Systems, Strategic Management of Inventory at the Enterprise Level, Web based logistics, SME Networks Management, Military Logistics, Disruptions Management in Sustainable Supply Chains, Value Chain Management in Natural Resources
Submit your proposal here.
Ecological sustainable development and Innovative technologies for a bio-based economy
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This track has as theme, the application of intelligent sensing, control, optimisation and modelling techniques for sustainability, renewable energy and sustainability-related topics. The track topics cover but are not limited to: |
Biobased economy
Green genetics, biopolymers, biodiesel, bio-alcohol, bio-refining, white biotechnology, catchbio, paper and agrofibers, seaweed production, Ethanol from pulp and maize, jatropha Curcas, Bioliq, Taylor made fuels: isosorbides and amber acids. Sequestration of carbon monoxide, Carbon capture and storage.
High efficiency power storage systems: battery systems; reversible fuel cells; flywheel systems; Kinetic energy use; super-capacitors.
Control and optimisation of renewable energy systems: sensors and instrumentation technology, virtual sensors; smart monitoring and control using intelligent systems; high-efficiency switching systems; highly-efficient voltage conversion systems; novel high efficiency distribution systems and low voltage buses.
Energy modelling schemes: life cycle analysis methodologies; tools and life cycle analysis; triple-bottom-line analysis.
Renewable energy technologies
Power Grids
On-site, off-grid, grid-supplemented generation systems; combined heat and power (CHP) and micro-CHP systems
Power Plants
Nuclear energy from fission and fusion, Geothermal power plants, Ocean Thermal Energy Conversion Plants (OTEC), biomass fuel, low emission coal plants, Stirling cycle engines, bio-fuelled diesel generators.
Solar Energy
Solar power, Solar cells, Suntrackers, Photovoltaic solar energy, Solar thermal power stations, Solar power generators household energy systems, New solar cell production (from inkjets f.ex.), Affordable photovoltaic solar energy.
Wave Energy
Tidal wave energy stimulation, Hydropowerwave/tidal.
Wind Energy and materials
Micro-wind turbines, horizontal and vertical axis aero-generators, Wind Turbines, Brushless double fed generators for windmill parks, Superglass for windmill ball bearings
Sustainable buildings
The application of intelligent sensing, control, optimisation and modelling techniques the technology of sustainable buildings. Applications to building services: heating and ventilating control systems for reduced energy use; building management systems; low energy building technology; low energy lighting systems; high-output light LED lighting systems; passive solar heating systems. F.ex.Buildings as Carbon gas receptors, Thermo electric materials for improved energy efficiency and Solar warmth as cooling agent.
GreenTraffic/Car Technology
Power Sources
Green car technology using hydrogen fuel cells, Renewable fuels and biofuels, Fluid biogas, Hybrid vehicles, Plug-in-hybrids, Battery powered cars (lithium ion batteries with manganese components). Vehicles with Electric motors, inverters, and Air compressor motors
High Tech Materials
Ultralight and advanced high-strength steel, Carbon fiber and aluminum, Magnesium, Polycarbonate resin, Polymer composites
Green Ship Technology
Power Sources
Solar sailing, using sun and wind power (Skysails), windmill turbine boats, LNG.
Ship design
Dolphin shaped fin-keels, SharkSkin Coatings, Air Bubble Vents.
Submit your proposal in sustainable development here
