2016 DAC Special Sessions

If you wish to submit a paper for a special session, choose the session title in the list of topic areas on the electronic paper submission web page. All papers will be reviewed for presentations at the conference and publication in the CD-ROM conference proceedings.

Note: All papers are accepted based on peer-reviews of original full-size manuscripts. Resubmissions will not be considered.

Take a look at the panel sessions being organized for DAC.


Session Title Session Organizer(s)

Artificial Intelligence and Computational Synthesis

Matthew Campbell, Ritesh Khire
Control-Design Integration Krishna Vijayaraghavan, Gary Wang
Data-Driven Design Conrad Tucker, Kemper Lewis, Jie Zhang, Ritesh Khire, Shabnam Rezapour, Andrew Olewnik, Souma Chowdhury
Decision Making in Engineering Design Kemper Lewis, Jitesh Panchal, Jesse Austin-Breneman
Design and Optimization of Sustainable Energy Systems Erin MacDonald, David Romero, Jie Zhang, Nathan Johnson, Souma Chowdhury

Design for Additive Manufacturing

Carolyn Conner Seepersad, Georges Fadel, James Guest, Kristi Shea, Timothy Simpson, Christopher Williams
Design for Market Systems Scott Ferguson, Mark Bryden
Design for Resilience and Failure Recovery Pingfeng Wang, Zhimin Xi, Po Ting Lin
Design for the Developing World / Engineering for Global Development
Nordica MacCarty, Mark Bryden, Nathan Johnson, Christopher Mattson
Design of Complex Systems Beshoy Morkos, Rahul Renu
Design of Engineering Materials and Structures Carolyn Conner Seepersad, Wei Chen, Julian Norato, Shikiui Chen, James Guest, Andres Tovar, Matt Lynch, Guang Dong
Geometric Modeling and Algorithms for Design and Manufacturing Saigopal Nelaturi, Horea Ilies
Human Centered Design Matt Parkinson, Charlotte de Vries, Astrid Layton
Metamodel-Based Design Optimization (MBDO) Jie Zhang, David Romero, Georges Fadel, Ali Mehmani
Multidisciplinary Design Optimization Po Ting Lin, John Hall
Multi-Objective Optimization and Sensitivity Analysis
Mian Li, David Romero
Platform Architecture and Product Family Design Timothy Simpson, Chris Hoyle, Scott Ferguson, Seung Ki Moon, Ritesh Khire
Product-Service System Design
Seung Ki Moon
Simulation-Based Design Under Uncertainty Zissimos Mourelatos, Ikjin Lee, Mian Li, Po Ting Lin, Xiaoping Du, Zhimin Xi, Jie Zhang

 

Artificial Intelligence and Computational Synthesis
Organizers: Matthew Campbell, Ritesh Khire

The ASME Design Automation Committee is planning a special session to discuss research that combines concepts of artificial intelligence with creativity and design. Please consider submitting to this session if your research bridges these exciting fields. Suggested topic areas include:

  • 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

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Control-Design Integration
Organizer: Krishna Vijayaraghavan, Gary Wang

As we strive for improving system performance and increasing system reliability through smart and intelligent systems, it is becoming increasingly crucial to integrate controls and design. Traditionally, researchers in the area of design have focused on system design and system parameter optimization by either disregarding or fixing the control scheme, while researchers in the area of controls have assumed the underlying design to be fixed or predefined. However the choice of control algorithm affects the overall system performance as well as influences the available design space of safe operation. Simultaneously, the system design affects controllability (ease of control), controller architecture and controller robustness. Hence this session aims to showcase innovative research that uses controls to enhance design as well as design to enhance controls.

This session seeks exceptional contributions that integrate controls with design in order to improve the overall system performance, improve design feasibility, and improve system controllability. Specific areas may include:

  • Simultaneous optimization in design space and control space
  • Enhancing design space through control
  • Design optimization that includes controllability (ease of controller design) in optimization objectives and design for improving controllability (such as optimal sensor and actuator placement)
  • Design for reducing system complexity (such as reducing nonlinearity) to aid with controller design
  • Design for improving fault detection and for improving controller robustness to parameter uncertainties

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Data-Driven Design
Organizers: Conrad Tucker, Kemper Lewis, Jie Zhang, Ritesh Khire, Shabnam Rezapour, Andrew Olewnik, Souma Chowdhury

Increasing reliance on digital design tools, improving cyberinfrastructure, and democratization of design activities continues to expand the types and quantity of design-relevant data. Despite the overabundance of digital design data and emphasis on knowledge representation, designers still face tremendous challenges in transforming data into knowledge. Data-Driven Design represents an emerging research area that aims to develop design tools and methods capable of discovering hidden, previously unknown patterns (knowledge) from design data to transform the way products and systems are designed and delivered. Such capability will be achieved through statistical, explanatory and machine-learning models to discover and communicate meaningful patterns that influence design-decisions and systematically search for innovation. The ASME Design Automation Committee and the organizers of the Special Session on “Emerging Topics in Design Automation” invite researchers to submit papers covering innovative approaches in this area, which might include:

  • Statistical/data mining methodologies in product design
  • Incorporating social media data in next generation designs
  • Data synthesis and design analytics in systems (of systems) design
  • Data mining frameworks that leverage longitudinal design data sets for identification of design patterns within a single company or across markets/industries
  • Visualization methods that lead to identification of new or latent user needs
  • Implications of data security and privacy on effectiveness of design analytics
  • Pattern recognition in large design spaces of complex performance data
  • Pattern recognition and feature extraction methods for product and service design
  • Text mining/natural language processing algorithms for large and unstructured data sets
  • Innovative mechanisms for collecting human-generated data
  • Crowdsourcing methodologies that enable design

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Decision Making in Engineering Design
Organizers: Kemper Lewis, Jitesh Panchal, Jesse Austin-Breneman

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
  • Tradespace exploration support
  • Modeling preferences and tradeoffs
  • Representing uncertainty in design decisions
  • Making decisions in multiattribute and multiobjective environments
  • Managing decisions with multi-scale and multi-disciplinary complexity
  • Studying the consistency and validity of decisions and decision support tools

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Design and Optimization of Sustainable Energy Systems
Organizers: Erin MacDonald, David Romero, Jie Zhang, Nathan Johnson, Souma Chowdhury

The numerous sources of energy and the various ways that humans consume it plays an important role in the design of many engineering systems. Growing concerns in recent years about climate change, predicted scarcity of fossil fuels, and energy security have triggered much interest in efficient energy utilization and energy harvesting from sustainable resources. As government agencies and various industries make long term commitments to research and development in sustainable energy technologies, it falls to the design engineering community to promote, develop, and improve the appropriate modeling, design and optimization tools.

The ASME Design Automation Committee and the session organizers invite papers focused on modeling, design and optimization of sustainable energy technologies. Topics of interest include, but are not limited to:

  • Multidisciplinary analysis and modeling of energy systems
  • Optimal design of energy harvesting, storage and delivery systems
  • Design and optimization of renewable energy systems, e.g. wind, solar, tidal, geothermal, and hybrid systems. 
  • Uncertainty quantification and robustness issues in energy systems
  • Development of new/innovative energy technologies
  • Socio-economic challenges in transitioning to renewable/sustainable energy technologies
  • Economics, planning and project management of sustainable energy systems
  • Design for energy efficiency

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Design for Additive Manufacturing
Organizers:Carolyn Conner Seepersad, Georges Fadel, James Guest, Kristi Shea, Timothy Simpson, Christopher Williams

The ASME Design Automation Committee and the organizers of this Special Session invite papers that address the challenges of using modeling, simulation, and empirical data to design parts or assemblies for additive manufacturing. Representative topics include:

  • Geometric modeling for AM-enabled applications
  • Design for AM methods and tools
  • Novel structures, parts, and assemblies that are enabled by AM
  • Integrated design of AM parts and processes; design-material-process interactions in AM
  • Integration of theory, simulation, and experiments in the design of AM parts and processes
  • Synthesis and optimization of AM parts or assemblies
  • Multiscale design of AM parts
  • Additive manufacturing considerations in topology, size and shape optimization
  • Design methods for multimaterial parts or parts with functionally graded materials
  • Socioeconomic impacts of AM and emerging business models for AM development

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Design for Market Systems
Organizers:Scott Ferguson, Mark Bryden

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 for Resilience and Failure Recovery
Organizers: Pingfeng Wang, Zhimin Xi, Po Ting Lin

Resilience defines the ability of a system to sense and withstand adverse events, and to recover from the adverse events. Adapting resilience concepts into engineering design to create resilient engineered systems is an emerging research area. This special session on "Design for Resilience and Failure Recovery" call for papers addressing a wide range of related topics in design of resilient engineered systems and processes. The interest includes, but is not limited to, the following topics:

  • Advanced System Engineering Researches for Resilience, such as engineering resilience modeling and quantification, cost benefit analysis, social and economical impacts analysis, etc.
  • New performance measures for system resilience (such as system reliability, survivability, recoverability or capability of failure mitigation/recovery)
  • New design concepts and techniques for autonomous resilience realization through design for complex engineering systems and processes
  • New approaches to integrate post-design failure recovery activities in early design stage of engineering systems (e.g. condition monitoring, maintenance, reconfiguration, retrofits etc.) for failure mitigation/recovery
  • Advanced system performance awareness techniques for engineering resilience, such as condition monitoring, diagnosis/prognosis, failure mitigation/recovery methodology/algorithms with applications
  • Advanced techniques for design integration towards engineering resilience (such as reliability-based design, sensing system development, advanced failure prediction techniques, failure mitigation/recovery, design considering system retrofits, reconfigurable system design, open architecture products design, etc.)
  • Successful applications of engineering resilience for complex engineering systems and processes (e.g. critical infrastructure systems and processes, computer networks, energy systems, power systems, transportation systems, supply chains, etc.)

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Design for the Developing World / Engineering for Global Development
Organizers:Nordica MacCarty, Mark Bryden, Nathan Johnson, Christopher Mattson

Today the need for engineered products and solutions for the poor is overwhelming. 880 million people do not have access to clean water, 2.5 billion people do not have a safe toilet, and more than 3 billion cook on an open fire. Consequently, death, disease, and injury are common in the developing world. Each day 25,000 children die from malnutrition and preventable disease. The majority of these children live in extreme poverty in communities that lack medical care and have no access to goods and products that could improve their lives. These are engineering problems, and the failure of engineering and engineers to meet the basic needs of people living in poverty is staggering. The developing world is rapidly becoming a graveyard for well-intentioned but poorly engineered projects and products. For example, the International Institute for Environment and Development reports that in Africa 50,000 rural water points are broken and that an infrastructure investment of $215-360 million intended to improve the lives of the poor has been wasted. Too often a new product is provided to a group of people in the developing world—for example a pump instead of a bucket and rope to retrieve water from a well. It is hoped that the new product will transform the village—children will be healthier, women will have more time, it will increase income. But a year later the new device is broken or abandoned. Our challenge is to build real products that are truly sustainable. That is, products that meet local needs, are consistent with local culture, are affordable, are locally and affordably repairable, and really do change people lives.

Engineering design has a critical role in developing the products, processes, and systems that can sustainably transform the lives of the poor. This is a significant challenge, and we need to develop the underlying patterns, principles, and

  • Product development methods focused on the issues of the developing world
  • Sustainable engineering product development for the poor
  • Teaching sustainable engineering development
  • Implementing of engineering products in the developing world
  • Incorporating local culture into the design process
  • Engineering design and appropriate technology
  • Design for extreme affordability
  • Methods to handle the multidisciplinary nature of poverty alleviation

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Design of Complex Systems
Organizer:Beshoy Morkos, Rahul Renu

As systems grow in functionality while satisfying ever-increasing requirements, they become complex when the elements it is comprised of interact in a way that gives rise to emergent behavior. The objective of complex systems design research is to advance the fundamental understanding of complex systems design so that this emergent behavior can be anticipated, predicted and eventually controlled. The ASME Design Automation Committee invites contributions that address topics of complex systems design including, but not limited to:

  • Characterization of complex systems
  • Design problem formulations and requirements management for complex systems
  • Uncertainty quantification and risk management in complex systems
  • Complexity quantification, modeling and management
  • Validation of complex system designs
  • Bio-inspired studies of complex systems
  • Modeling and management of emergent behavior
  • Economic paradigms for modeling complex systems
  • Massive collaboration and crowd-sourcing methods for complex systems design
  • Decentralization and self-organization in complex systems
  • Network theory and applications in complex systems
  • Architecting complex systems
  • Human factors and machine-human interactions in complex systems

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Design of Engineering Materials and Structures
Organizers: Carolyn Conner Seepersad, Wei Chen, Julian Norato, Shikiui Chen, James Guest, Andres Tovar, Matt Lynch, Guang Dong

The ASME Design Automation Committee and the organizers of this Special Session invite papers that address the challenges of using modeling and simulation to design engineering materials and structures. Representative topics include: 

  • Simulation-based design methods for enabling accelerated design, development, and insertion of engineering materials
  • Integration of theory, simulations, and experiments in the design of materials and structures
  • Multiscale and multiphysics modeling and simulation to support the design of advanced materials and structures
  • Data-driven design of materials and structures; data mining and informatics for material and structural design
  • Topology optimization theory and applications, including density-based methods, homogenization and inverse homogenization, level set methods, heuristic and bioinspired approaches, large-scale methods, and use of the topological derivative
  • Topology optimization with local stress constraints, including stress and fatigue
  • Topology and shape optimization for dynamic and nonlinear problems
  • Stochastic topology optimization and uncertainty quantification and management for materials and structures
  • Integrated design of products, fabrication processes, and materials
  • Manufacturing considerations in topology, size and shape optimization
  • Multiscale topology optimization of materials and structures
  • Geometric modeling for design of materials and structures
  • Novel materials and structures by design, and their applications

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Geometric Modeling and Algorithms for Design and Manufacturing
Organizer: Horea Ilies, Saigopal Nelaturi

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 theoretical and/or applied geometric methods spanning all phases of the design and manufacturing process (i.e., conceptual design to validation), including:

  • Geometric data representation
  • Geometry simplification and compression
  • Parametric and feature based modeling:
    • geometric constraints and constraint solving
    • shape modeling with constraintsalgorithmic parameterization of geometric models
    • feature recognition
  • Geometric interoperability
  • Shape editing and manipulation with deformations
  • Reverse engineering and model reconstruction from scanned data
  • Geometric problems in manufacturing:
    • NC machining
    • Molding and casting
    • Additive manufacturing and rapid prototyping
    • Manufacturability evaluation and feedback
  • Geometric reasoning
  • Visual or haptic geometry rendering
  • Shape matching / search
  • Geometric dimensioning and tolerancing
  • Meshing
  • Open problems and emerging issues

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Human-Centered Design
Organizers:Matt Parkinson, Charlotte de Vries, Astrid Layton

Whether during their production, use, or maintenance, most engineered systems require human interaction at some point in their life cycles. If we consider related issues in the early stages of design, we are best-positioned to improve performance, including safety and comfort. This session is focused on the tools, processes, and strategies to facilitate these assessments. Both cognitive and physical aspects of interaction are appropriate for this session. Specific topic areas include:

  • 3D human modeling, Advanced measuring methods, Crash models, Anthropometric analysis, Injury prediction, Biomechanics
  • Vehicle interiors
  • Modeling of comfort and discomfort, Modeling of human behavior, Simulation of usage compliance
  • Motion and posture prediction, Hand modeling and applications
  • Observation, validation and verification of usage-related tasks
  • Whole-body vibration of digital humans, Fatigue modeling, Cloth modeling
  • Cognitive modeling, Virtual reality and human modeling
  • Bio-inspired design
  • Engineering ergonomics, Human factors
  • Usage Context Based Design
  • Preference models based on usage modeling
  • Situational marketing and design
  • Design for all, universal design

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Metamodel-Based Design Optimization (MBDO)
Organizers:Jie Zhang, David Romero, Georges Fadel, Ali Mehmani

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; metamodeling for dynamic systems, high-dimensional metamodeling.
  • Fixed and Sequential Sampling: Fixed, adaptive, sequential, or other intelligent sampling methods for metamodeling techniques and MBDO.
  • Large-scale/high-dimensional 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, reduction in dimensionality and size of the design space, constraint addition or removal, addition or removal of optimization objectives.
  • Optimization support: Methods and application of metamodeling techniques to solve global optimization, high-dimensional 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:Po Ting Lin, John Hall

The ASME Design Automation Committee invites papers on Multidisciplinary Design Optimization (MDO) theory, methods, and applications. MDO addresses the optimal design of complex engineering systems and the direct management of interactions between system components or disciplinary analyses. MDO offers an approach to exploit synergistic relationships within a system to improve system performance.

Sample topics of interest include but are not limited to the following:
  • Problem decomposition
  • Approximations/surrogate modeling
  • Trade-off analysis
  • Distributed/multi-level approaches
  • Multi-fidelity analysis and design
  • Simultaneous analysis and design
  • Combined plant and control design
  • Coordination algorithms
  • Parallel processing/high performance computing
  • Large-scale applications
  • Systems of systems
  • Integrating with uncertainty
  • Innovative industrial applications
  • Systems engineering
  • Software development

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Multi-Objective Optimization and Sensitivity Analysis
Organizers: Mian Li, David Romero

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
  • Meta-heuristics for multi-objective optimization
  • Local and global multi-objective sensitivity analysis
  • Multi-objective optimization under uncertainty
  • Multi-objective, multi-disciplinary optimization
  • Quality metrics for multi-objective solutions
  • Design of computer experiments, surrogates and metamodels in multi-objective optimization
  • Engineering design applications of multi-objective optimization and/or sensitivity analysis
  • Visualization methods
  • Software tools

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Platform Architecture and Product Family Design
Organizers:Timothy Simpson, Chris Hoyle, Scott Ferguson, Seung Ki Moon, Ritesh Khire

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

  • Methods and tools for product family design and platform architecting
    • 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 on product family design problems
  • Architecture development of reconfigurable/changeable systems
  • Assessing the ability of an architecture to meet diverse or unforeseen needs
  • New case studies in product family and product platform design

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Product-Service System Design
Organizers: Seung Ki Moon

Product-service systems (PSS) are defined as a marketable set of products and services capable of jointly fulfilling a user's need. PSS may create new market niches for companies and address contemporary consumerism and sustainability issues. We invite publications that address theoretical or computational aspects in designing PSS including, but not limited to:

  • Modeling, formulating, and solving PSS design problems
  • Design theories, methodologies and tools for PSS
  • PSS requirements management
  • Modeling user needs in PSS
  • Life-cycle management for PSS
  • Cost and value modeling for PSS
  • Modeling and treating uncertainty in PSS

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Simulation-Based Design Under Uncertainty
Organizers: Zissimos Mourelatos, Ikjin Lee, Mian Li, Po Ting Lin, Xiaoping Du, Zhimin Xi, Jie Zhang

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:

  • Theoretical foundations and frameworks for design under uncertainty
  • Strategies and methods for uncertainty reduction and risk management in design
  • Preference modeling and elicitation in design under uncertainty
  • Uncertainty representation and quantification
  • Elicitation and aggregation of uncertain information
  • Representation and prediction of emergent behavior under uncertainty
  • Theoretical foundations for predictive modeling and inference with limited data
  • Computational techniques for uncertainty propagation
  • Model verification, validation, and uncertainty quantification
  • Multi-fidelity and surrogate modeling for design under uncertainty
  • Stochastic methods for design of multiscale engineering systems
  • Information systems for supporting design under uncertainty
  • Communication of uncertainty analysis results
  • Teaching design under uncertainty
  • Case studies and industrial design applications that illustrate comprehensive treatment of uncertainty
  • Modeling, analysis, and design involving stochastic processes and/or random fields
  • Lifecycle analysis and design under uncertainty

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