• Applications of AI research to engineering design problems
• Learning algorithms such as case-based reasoning, reinforcement learning or neural networks
• Tree search algorithms applied to design problems
• Rule-based systems, graph or shape grammars systems
• Reasoning under uncertainty such as fuzzy-logic or Bayesian networks
• Expert-systems applied to design problems
• Agent and multi-agent systems
• Data-mining approaches that mimic human thought
• Evolutionary algorithms like swarm or genetic algorithms
• Computational linguistics or logic methods applied to design
• Representation methods that model the rich variety or complexity of engineering
  problems
• Or any other computational approach that performs seemingly creative tasks

• Computational representations and manipulations of mechanical functions
• Models for top-down functional decomposition (from system to component level
  functions)
• Models and representations of design spaces in engineering
• Design space exploration techniques
• Algorithmic design synthesis
• Physics-based conceptual design
• Geometric reasoning, interrogation, and analysis
• Modular designs and modularity issues in engineering design
• Design at different length scales
• Packaging and layout issues in design

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Concurrent Collaborative Design
Organizers: Ashwin Gurnani, and Yan Wang

Increasing global economy imposes the compelling need to identify new paradigms and applications to better support engineering design in a concurrent/collaborative environment. We invite innovative work to demonstrate ideas, theories, and methods that lay technological foundations for effective mechanisms to support engineering design in concurrent/collaborative environment. The following topics are suggested (but not limited to):

• game-theory based approaches
• agent-based approaches
• multi-disciplinary design teams
• network technology for collaborative design
• design negotiation and negotiation strategy
• social aspect in concurrent/collaborative design
• industrial examples

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Data Driven Risk Management for System Design
Organizers: Byeng Dong Youn, Samy Missoum, Seung-Kyum Choi, Jay Martin

The ASME Design Automation Committee and the organizers of the Special Session on Data-Driven Risk Management for System Design invite papers that address the theoretical and/or practical aspects of one or more of the following topic areas:

• Data acquisition and modeling of uncertainties in measurements (e.g., testing, lab. experiments, and survey).
• Information extraction from insufficient, evolving, and heterogeneous data.
• Data modeling for Verification and Validation (V&V).
• Verification and Validation (V&V) activities for system risk assessment.
• Validation metrics with insufficient and evolving data.
• Random fields and process characterization.
• Nondeterministic analysis (e.g., probability, fuzzy, evidence, Bayes, etc.) for system risk assessment.
• Propagation of uncertainties through various disciplines/levels/scales.
• Data-driven risk-based analysis and design where data comes from objective and/or subjective (e.g., customer data, expert data) sources.
• Topology/shape/sizing design optimization for risk-based decision.
• Consequence evaluation of system risks.
• Data mining, dimensionality reduction, and visualization for uncertainty- and risk-based decision making.
• Topics linking reliability, quality, risk, and their coupling.
  

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Decision Making in Engineering Design
Organizers: J. Donndelinger and K. Lewis

The ASME Design Automation Committee and the organizers of the Special Session on Decision-Making in Engineering Design invite researchers to submit papers covering innovative approaches to and developments in:

• Structuring design decisions,
• Supporting decision making in ill-defined spaces,
• Decision variable to performance mapping,
• Modeling preferences and tradeoffs,
• Representing uncertainty in design decisions,
• Making decisions in multiattribute and multiobjective environments,
• Managing multi-scale and multi-disciplinary complexity, and
• Studying the consistency and validity of decisions and decision support tools.

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Decomposition Methods in Design
Organizers: Harrison Kim, James Allison

The ASME Design Automation Committee invites papers that deal with methods and applications based on a "decomposition" approach as opposed to single, large-scale all-in-one approach to engineering design. Two major topics are invited - 1) How to decompose a complex, large-scale system design problem; and 2) How to model or solve decomposition-based problems. Sample topics of interest include but are not limited to the following:

• Decomposition methods
• Dynamic modeling of decomposition process
• Decomposition of artifact or process
• Coordination methods for decomposed problems
• Optimization methods for decomposed problems
• Distributed decision making
• Hierarchical vs. non-hierarchical approaches
• Single vs. multi-level approaches
• Decomposition software

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Design and Development of Reconfigurable Systems
Organizers: Scott Ferguson and Kemper Lewis

Reconfigurable systems are systems that are able to reconfigure or adapt to expected and unexpected changes in operating environments, allowing operation performance to effectively continue in uncertain environments. The ASME Design Automation Committee invites papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:

• Reconfigurable Systems Design
• Theoretical foundations
• Fundamental algorithms
• Reconfigurable System Analysis
• Predictable environmental changes
• Unpredictable environmental changes
• Reconfigurable System Synthesis
• Methods for Adaptive and Flexible Systems Design
• Change propagation analysis in system design
• Environment Sensing and Information Fusion
• Case Studies and Test Bed Results

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Design for Market Systems
Organizers : J.J. Michalek, S. Azarm, and N.A. Williams

The ASME Design Automation Committee and the Session Organizers of the Special Session on Design for Market Systems invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas, and related topics, as they relate to engineering design:

• Role of markets in design decision-making
• Design for profit
• Design for marketing
• Economics and econometrics
• Distribution channels and supply chains
• Consumer choice and demand modeling
• Survey design and consumer preference solicitation
• Market segmentation and design for consumer heterogeneity
• Product differentiation and mass customization
• Product bundling and product portfolios
• Competition and game theory
• Innovation and entrepreneurship
• Disruptive technologies
• Enterprise planning, cost forecasting, and operations
• Decision-making for dynamic markets
• Design under uncertainty of market volatility
• Risk assessment, analysis and management
• Real options
• Social welfare, externalities, and green design
• Public policy, regulation and infrastructure
• Life cycle assessment
• Requirements management
• Globalization and off-shoring
• Intellectual property

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Design Languages and Grammars
Organizer: Seth Orsborn

Design languages and grammars are means to describe the product synthesis in such a way that compilers are able to execute the language rules automatically. The session is intended to explore, share and discuss new concepts and applications of design languages and grammars and will reflect the current state of the art as well as the latest developments in this area of computer-assisted design generation. Topics do include but are not limited to:

• String-based design languages and grammars
• Shape-based design languages and grammars
• Graph-based design languages and grammars
• Theoretical aspects of design languages such as consistency, monotony and correctness (etc.)
• Practical application case studies and lessons learned thereof
• Future trends in design language representations towards UML/SYSML
• Interplay of language rules and language ontology
• Knowledge import/export in/out of design languages via interfaces
• and many more....

The impact of this new technology will not only affect the design community in the way design is thought of and done, but will also affect the landscape of tools and representation languages which will be employed for this purpose in the future.

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Design of Multiscale Engineering Systems
Organizers: Wei Chen, Carolyn Seepersad, Yan Wang

The ASME Design Automation Committee and the organizers of the Special Session on Design of Multiscale Engineering Systems invite papers that address the challenges of using modeling and simulation to design multiscale systems (e.g., products, materials, and/or processing paths). Papers may be focused on the theoretical and/or applied aspects of one or more of the following representative topics: 

• Integrated design of products and materials
• Collaborative, multilevel, or multidisciplinary design methods for multi-scale systems.
• Integration of theory, simulations, and experiments in multi-scale design applications.
• Uncertainty representation, quantification, management, and propagation to support design validation, evaluation, and/or decision-making for multidisciplinary, multi-scale applications.
• Multiscale modeling and simulation advancements, including multi-scale, multi-physics simulation methods and discrete-to-continuum integration.
• Computer-based enabling technologies (e.g. visualization, optimization, imaging, prototyping, distributed and parallel computing, information/knowledge management, scientific visualization, data mining) for engineering multiscale systems.
• Simulation of multiscale fabrication and self-assembly processes in manufacturing and synthesis.
• Modeling and simulation of geometric structures and physical properties of organic and inorganic materials.
• Topology design and optimization techniques for multiscale applications.
• Novel materials and devices by design, and their applications.

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Designing for Human Variability
Organizer: M.B. Parkinson

One important source of variability in the performance and success of products designed for use by people is the people themselves. In many cases, the acceptability of the design is affected more by the variability in the human users than that attributable to the hardware from which the product is constructed. Designing for Human Variability is a D-f-X capability (DfHV) wherein design automation tools are utilized to consider accommodation of the user as part of the overall system performance.The ASME Design Automation Committee and the Session Organizers of the Special Session on Designing for Human Variability invite papers that deal with the theoretical and/or applied aspects of DfHV, including one or more of the following topic areas:

• Modeling of preference
• Quantifying accommodation and fit
• Allocation of adjustability
• Application of design automation tools to the design of products, tasks, and environments
• Consideration of different populations in design (e.g., aging population, people with disabilities, etc.)
• Modeling variability within and across populations

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Direct Digital Manufacturing
Organizer: Frank Liou

Direct digital manufacturing (DDM) is the process of going directly from an electronic digital representation of a part to the final product via additive and/or subtractive manufacturing. The ASME Design Automation Committee and the Organizer of the Special Session on Direct Digital Manufacturing invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.

• Representation and modeling of part representation, error representative, and/or process representation for direct digital manufacturing processes, such as rapid prototyping processes, CNC machining processes, micro-machining processes, etc.
• Research and development of direct digital manufacturing processes
• Direct digital manufacturing process parameter optimization
• Sensor and control algorithms in direct digital manufacturing processes
• Applications of direct digital manufacturing
• Direct digital system integration
• Process planning issues in direct digital manufacturing:  planning for tool path and build, process planning optimization
• Direct digital manufacturing in design:  evaluate the impact that DDM will have upon product design and how designers will need to change their thinking if they are going to take full advantage of the opportunities afforded by DDM

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Geometric Modeling and Algorithms for Design and Manufacturing
Organizers: Horea Ilies and Krishnan Suresh

The ASME Design Automation Committee and the Organizers of the Special Session on Geometric Modeling and Algorithms for Design and Manufacturing invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.

• Geometric data representation
• Geometry simplification or compression
• Parametric and Feature Based Modeling:
  • geometric constraints and constraint solving
  • shape modeling with constraints
  • algorithmic parameterization of geometric models
  • feature based modeling and feature recognition
  • parameterization of mesh data
  • parametric modeling of assemblies
  • parametric optimization
  • data exchange of parametric and feature models
  • open problems in parametric and feature modeling
• Reverse engineering and model reconstruction from scanned data
• Geometric problems in manufacturing:
  • NC machining
  • Molding and casting
  • Layered manufacturing / rapid prototyping
  • Manufacturability evaluation and feedback
• Geometric reasoning
• Visual or haptic geometry rendering
• Shape matching / search
• Geometric dimensioning and tolerancing

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Innovative Industrial Applications, Developments, Perspectives
Organizers: Liping Wang

The ASME Design Automation Committee and the Organizer of the Special Session on Innovative Industrial Applications invite papers on the computational design of industrial product, material, and/or manufacturing processes and systems. Priority will be given to those papers that describe innovative applications of advanced design automation techniques to real-world industrial products and processes. Sample topics of interest include but are not limited to the following:

• Innovative applications of optimization methods
• Sizing, shape, and topology design
• Multidisciplinary design optimization
• Design sensitivity analysis
• Design visualization and engineering data mining
• Materials/manufacturing processing design
• Inverse problems in engineering
• Design process management
• High performance computing for design automation
• Business process modeling
• Knowledge Based and Heuristic Optimization
• Benchmarking, testing, and classification of computer-aided optimization (CAO) and process integration software

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Judgment and Decision Science in Design
Organizers: Erin MacDonald, Joseph Donndelinger

Perspectives from behavioral psychology, particularly judgment and decision-making research, are incorporated into engineering design methods to reveal synergistic insights. Both quantitative and qualitative scientific discussions of the impact of these bodies of research is encouraged, with an emphasis on either including new design case studies or revisiting previous studies with a new perspective. Research in both designer and user judgment and decisions will be considered.

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Metamodel-Based Design Optimization (MBDO)
Organizers: Gary Wang, Jay Martin, and Lipin Wang

The ASME Design Automation Committee and the Organizer of the Special Session on Metamodel-Based Design Optimization (MBDO) invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.

• Model approximation: Approximation of computation-intensive processes and associated gradient or other properties across the entire design space; innovative metamodeling techniques; flexible metamodeling for variable fidelity models; multi-response metamodeling; uncertainty and validation of metamodels
• Fixed and Sequential Sampling: Fixed, adaptive, sequential, or other intelligent sampling methods for metamodeling techniques and MBDO.
• Large-scale metamodeling techniques: Theoretical studies on large-scale design problems; methods or strategies for large-scale metamodeling; testing of existing methods with large-scale design problems
• Design space exploration: Design space exploration to enhance the engineers’ understanding of the design problem; design visualization; interactive space exploration methods and tools; application in engineering design
• Problem formulation: Metamodeling strategies that aid the formulation of design optimization problems, such as, the number and search range of design variables may be reduced; certain ineffective constraints may be removed; a single objective optimization problem may be changed to a multi-objective optimization problem or vice versa.
• Optimization support: Methods and application of metamodeling techniques to solve global optimization, multi-objective optimization, multidisciplinary design optimization, and probabilistic optimization problems occurring in industry.
• Other topics as related to MBDO

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Multidisciplinary Design Optimization
Organizer: James Allison and Mian Li

The ASME Design Automation Committee invites papers that deal with methods and applications to deal with optimal design of complex engineering systems which requires analysis that accounts for interactions amongst the disciplines (or parts of the system) and which seeks to synergistically exploit these interactions. The session offers a forum for researchers and engineers to explore ways to handle complex problems arising from the interactions between systems. Sample topics of interest include but are not limited to the following:

• Problem decomposition
• Approximations
• Visualization
• Trade-off analysis
• Distributed/all-in-one approaches
• Efficient optimization methods
• Multi-level approaches
• Parallel processing/high performance computing
• Multi-objective optimization
• Large-scale and large system applications
• Integrating with uncertainty
• Innovative industrial applications
• Global reliability based multi-objective optimization
• Software development
• Emerging technologies

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Multi-Objective Optimization and Sensitivity Analysis
Organizers: Shapour Azarm, Mian Li, Kemper Lewis

The ASME Design Automation Committee and the Session Organizers of the Special Session on multi-objective optimization and sensitivity analysis invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas, and related topics:

• Gradient-based multi-objective optimization methods
• Evolutionary multi-objective optimization methods
• Engineering design applications of multi-objective optimization & sensitivity analysis
• Local and global sensitivity analysis with multi-objective optimization
• Quality metrics for multi-objective solutions
• Multi-objective optimization under uncertainty
• Multi-objective multi-disciplinary optimization
• Multi-objective multi-disciplinary sensitivity analysis
• DOE and meta-modeling with multi-objective optimization
• Approximation-assisted multi-objective optimization
• Approximation-assisted multi-objective multi-disciplinary optimization
• Visualization methods
• Software tools

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Optimal Design in/of Energy Systems
Organizers: Achille Messac and Ritesh Khire

The numerous sources of energy and the various ways that humans consume energy are playing an increasingly important role in the design of all systems -- small and large. Global warming concerns and the increasing scarcity of some energy resources are at the core of our pertinent interests. The engineering design community can play a critical role in the development of innovative near-optimal design approaches that can have practical impacts on industry, government, and academic objectives.

Interestingly, the last decade has seen renewed interest in (1) energy harvesting and (2) in the exploitation of natural energy resources. Both, government agencies and industry are making long term commitments to research and development of innovative environmentally friendly energy systems. The design of these innovative energy systems poses some unique challenges. First, they have to compete with conventional approaches/sources in terms of economics. Second, they must be robust to pervasive and strong sources of uncertainties. For example, these newer energy sources (e.g., solar radiation, wind) often entail significant uncertainties. Developing design methods and new systems that address such complex requirements presents unique challenges to design/optimization community.

This session invites contributors of papers that advance and recognize these broad objectives. Examples of technical topical areas include the following, to the extent that they are applicable to energy systems:

• Multi-disciplinary analysis/optimization in energy systems
• Use of sampling methods to quantify sources of uncertainties in energy systems
• Use of metamodels to model sources of uncertainties in energy systems
• Uncertainty/robustness issues in energy sources/systems
• Design/optimization methods for energy sources/systems
• Maintaining optimal economics in the design of energy systems
• Methods for performing life cycle assessment of energy sources/systems
• Adaptivity of energy sources to changing environment
• Product Families for energy systems
  

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Product and System Optimization
Organizers : M. Yoshimura and S. Nishiwaki

The ASME Design Automation Committee and the Session Organizers of the Special Session on Product and System Optimization invite papers that deal with optimization for products, optimization including multidisciplinary factors, system optimization, multiobjective optimization, and practical product optimization. Sample topic areas include:

• Optimization for product designs and product systems
• Optimization for product developments and managements
• Optimization including aesthetic factors
• Optimization based on concurrent engineering and collaborative circumstances
• Optimization including lifecycle factors
• Optimization that includes novel evaluative functions
• Application of shape/topology optimizations to product designs
• Application of surrogate model techniques to product designs
• Development of simplified evaluation/design models for supporting conceptual designs
• Practical optimization techniques and clues

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Product Family and Product Platform Design
Organizers: Tim Simpson, Seung Ky Moon, Ritesh Khire

The ASME Design Automation Committee and the Organizers of the Special Session on Product Family and Product Platform Design invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas.

• Product family and product platform design methods
  • Module-based product families
  • Scale-based product families
• Top-down and bottom-up approaches to platform design
• Portfolio management and product line structuring
• Product family and product platform assessment
  • Commonality
  • Variety and differentiation
  • Cost-based assessment methods
• Product Family and Product Platform Optimization
  • Formulations and algorithms for solving product family optimization problems
  • Data visualization strategies to support product family design optimization
  • Benchmarking studies using the web-based product family testbed: http://edog.mne.psu.edu/platform/testbed
• Product family and product platform case studies

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Service Design Strategy and Optimization
Organizers: Seung Ky Moon and Harrison Kim

Service design is an emerging area of research as the concept of “product” extends beyond physical systems. In this session, we invite papers on service design and service-related product design. The ASME Design Automation Committee invites papers that deal with the theoretical and/or applied aspects of one or more of the following questions and/or topic areas:

• What are the “new” aspects of service design compared to physical product design?
• What are the core components – design decision variables, parameters, objectives and constraints – in service design?
• What are the available design and solution methodologies?
• What are the application areas?
• Methodologies and challenges on service design
• Service design knowledge representation, acquisition, and management
• Knowledge capturing and reusing in service design
• Service modeling and design
• Cost model for service design
• Formulations and algorithms for solving service design optimization problems
• Service design strategies and optimization
• Customized service design and development
• Service family and service platform design and optimization
• Service design evaluation
• Service design and market segmentation in uncertain environments
• Design methods for combining products and services
• Product-Service Systems (PSSs) and applications
• Service engineering
• Industrial applications and case studies

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Simulation-Based Design Under Uncertainty
Organizers : Z. P. Mourelatos, Sirisha Ragavajhala, Kuei-Yuan Chan, Mian Li, Jay Martin

The ASME Design Automation Committee and the Session Organizers of the Special Session on Simulation-Based Design under Uncertainty invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:

• Uncertainty representation and quantification in engineering design
• Design evaluations under uncertainty
• Computational techniques for simulation modeling under uncertainty
• Fidelity of simulation models; model development and validation
• Reliability-based and robust design methodologies
• Propagation of uncertainties in decomposed-based design (multilevel hierarchies)
• Probabilistic analysis methods (e.g., Monte-Carlo simulations etc.)
• Nondeterministic methods and applications
• Numerical algorithms for analysis and optimization under uncertainty
• Probability, possibility, or evidence theory-based analysis and design methodology
• Response surface method for analysis and design under uncertainty
• Modeling and analysis of random fields or processes
• Stochastic programming applications in probabilistic engineering design

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Structural/Topology Optimization and its Applications
Organizer : Damiano Pasini , and Hae Chang Gea

The ASME Design Automation Committee and the Session Organizers of the Special Session on Structural/Topology Optimization and its Applications invite papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:

• Development of structural and topology optimization methods
• Development of non-gradient based methods for structural and topology optimizations, including Genetic Algorithms and Bio-mimetic approaches
• Applications of structural and topology optimization
• Computational and analysis techniques for large scale structural and topology optimization
• Numerical optimization algorithms for large scale structural and topology optimization
• Non-deterministic structural and topology optimization methods

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System of Systems Design and Optimization
Organizers : M. Kokkolaras

A system of systems (SoS) is a collection of systems (which are all operating and already providing useful services /independently/) that provides /additional/ capabilities through collaboration.The complexity and multidisciplinary nature of SoS requires coordinated research efforts for developing rigorous methodologies for planning, designing, allocating, and coordinating SoS. Papers are invited to address such research issues and topics listed below (non-exclusive).

• SoS Architecture
• Hierarchical and non-hierarchical
• Adaptive and reconfigurable
• SoS Optimization
• Multidisciplinary and multiobjective
• Uncertainty treatment
• Multistage decision making
• SoS Resource Allocation and Operation
• Centralized vs. non-centralized coordination
• Real-time adaptation to changes
• Coordination of modeling and simulation

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Validating Predictive Models in Engineering Design under Uncertainty
Organizers : Wei Chen, Michael Kokkolaras, Byeng Dong Youn, Kyung K. Choi

The ASME Design Automation Committee and the organizers of the Special Session on Validating Predictive Models in Engineering Design invite papers that deal with the theoretical and/or applied aspects of one or more of the following representative and non-exclusive topics:

• Assessment of predictive capabilities of computational models
• Model validation metrics
• Uncertainty quantification
• Model improvement or updating methods
• Combination of computer and physical experiments
• Confidence in design decisions using predictive models
• Certification of designs obtained using predictive models

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Visualization and Virtual Reality in Design
Organizer: Judy Vance

Recent advances in computer hardware and software provide a rich environment for the xploration of the use of visualization and virtual reality in design automation. The ASME Design Automation Committee invites papers that deal with the theoretical and/or applied aspects of one or more of the following topic areas:

• Virtual reality to aid product prototype evaluations;
• Virtual reality to facilitate concurrent engineering;
• Visualization as a communication aid among diverse design teams members;
• Applications of VR in industry;
• The role of haptics in facilitating design automation;
• Virtual reality as the next computing interface to design data.

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Web-Based Design and Optimization
Organizer: Ashwin Gurnani

The ASME Design Automation Committee and the Session Organizers of the Special Session on Web-based Design and Optimization invite papers that deal with one or more of the following topics:

• Global product Design using web-based technology.
• Innovative optimization algorithms utilizing state of the art in Information Technology.
• Internet/Intranet based tools for efficient design and/or optimization.
• Web-based software solutions for product design, integration and optimization.
• Theoretical aspects of utilizing web and IT for design automation.

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