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IDETC-CIE > Program > Workshops

Workshops

Time: 9:00am – 5:00pm

Presenters: Jack Hipple, TRIZ and Engineering Training Services

Description: This workshop will provide an overview of the origin and basis of TRIZ problem solving, its basic fundamentals, the TRIZ algorithm, and its role in improving the efficiency of problem solving and contradiction resolution, including applications in the business arena.

Morning

  • History, Uniqueness, and Basis of TRIZ
  • TRIZ vs. Psychological Approaches
    • Examples and Illustrations
  • Patterns of Invention
    • Examples
  • TRIZ Algorithm
  • Concepts of Ideal Final Result and Resource Utilization
    • Examples and Case Studies

Afternoon

  • Concepts of Ideal Final Result, Resource Identification and Use
    • Examples and Case Studies
  • Contradiction Resolution: Key to Breakthrough Inventions
  • Contradiction Table and 40 Inventive Principles
    • Examples and Case Studies
  • Applications in the Business Area

 

Time: 2:00pm – 5:00pm

Presenters: Christopher McComb

Description: Advances in AI, particularly large language models and generative methods, are creating new opportunities for human-AI teaming within engineering design workflows. Nowhere is this more apparent than in the integration of AI with CAD and simulation tools, where human designers and AI agents can collaboratively model, analyze, and refine complex systems. This workshop brings together researchers exploring how AI can become an effective teammate in these environments, with a focus on novel interaction paradigms, co-creative workflows, and the evolving role of engineers in AI-augmented design processes.

Time: 9:00am – 1:00pm

Presenters: Ada-Rhodes Wish & Lauren Bertelsen

Description: While the principles of Montessori education have been widely studied and implemented for learners from birth through adolescence, its principles remain largely unexplored in higher education. This workshop invites participants to reimagine graduate education through a Montessori lens, exploring how Montessori approaches and the principles of prepared environment, play is work, freedom within limits, observation, independence, hands on learning, and respect can be adapted to undergraduate and graduate education.

This workshop will present a two-year case study at the University of Nebraska Omaha on the design and outcomes of Technology and Innovation Studio, a unqiue Montessori-inspired graduate course at the center of our Human-Centered Computing (HCC) master's degree.

Participants in this hands-on, workshop will:

  • Learn how Montessori principles were adapted for a higher education
  • Examine data on student outcomes
  • Engage in collaborative work to map Montessori principles onto their own programs or courses
  • Learn from what k-12 does well
  • Gain practical tools for designing Montessori-inspired learning environments

The objective of this workshop is for educators, administrators, and curriculum designers to rethink what design, engineering, and technology education can look like.

Agenda

  • 0:00-0:10 - Introductions and Icebreaker
  • 0:10-0:20 - Montessori History, Principles, and Methods
  • 0:20-0:30 - Case Study: Technology Innovation Studio
  • 0:30-1:00 - Small Groups 1: Identify which principles you are and are not already addressing and ideate on ways to address gaps in existing structure
  • 1:00-1:30 - Discussion 1: Present what people observed in small groups and discuss shared insights and challenges on implementing Montessori principles
  • 1:30-2:00 – Small Groups 2: Ideate on how to address discussed challenges
  • 2:00-2:30 – Discussion 2: Present ideated solutions to challenges and how to apply them to your own courses
  • 2:30-3:30 – Small Groups 3 (sorted by area of interest): Layout a rough 16 week curriculum applying the Montessori principles and describe the Prepared Environment
  • 3:30-4:00 – Discussion 3: Present Develop Course concepts

 

Time: 2:00pm – 5:00pm

Presenters: Samantha Kang, Oregon State University

Description: Social norms and biases, like implicit gender bias, play a critical yet overlooked role in shaping design decision-making, engineering outcomes, and human computer interaction futures. Implicit gender bias has been shown to significantly limit problem solving capabilities important to design innovation and create design outcomes that unintentionally exclude or harm users. Explicit debiasing methods in engineering design present an opportunity to understand and actualize inclusive product innovation for all individuals.

In this workshop, we present the ASME design community with research on the intersection of implicit gender biases and design. We provide an alternative framework to conceptualize how technologies can evolve over time. Through interactive discussion and reflection, participants will explore how social norms intersect with product development through activities such as:

  • Taking the Gender-Design Implicit Association Test (IAT) to gain firsthand insight of your gendered associations in a design context
  • Developing IATs or related implicit association measures for use in their own research agendas
  • Engaging in gender-inclusive curriculum development that can be implemented into researcher's own teaching and research
  • Brainstorming stimuli for the iterative development of the Gender-Design IAT or other social norm IATs and helping to refine the tool for future use in research and education

By the end of the workshop, participants will leave with a deeper understanding of: implicit gender bias and its role in design cognition, how the IAT can be implemented into their own research, and pedagogical tools to challenge bias in engineering education and practice.

Time: 9:00am – 1:00pm

Presenters: Jordan Olson

Description: In today's complex systems, traditional control techniques often fall short when faced with multiple competing objectives. Optimal control techniques address these challenges by defining and adhering to control laws based on optimality criteria.

This workshop will delve into three such techniques:

  • Extremum Seeking Control (ESC)
  • Model Predictive Control (MPC)
  • Reinforcement Learning (RL)

These methods are revolutionizing decision-making across various industries, including industrial automation, energy production, aerospace, autonomous driving, and robotics.

In this hands-on workshop, you will not only learn the fundamentals of ESC, MPC, and RL but also apply these techniques to real-world control problems. The hands-on segment of the workshop will use specialized tools in MATLAB and Simulink that are purpose-built for designing, tuning, and simulating optimal controllers.

Time: 9:00am – 12:00pm

Organizers: Nand K Jha, Professor, Mechanical Engineering Department, Manhattan College

Description: There are many sound reasons why environmental issues should be considered in the design and product development process. They help us meet customer and legislative requirements. They put us in a stronger competitive and commercial position. They play a major part in ensuring we maintain innovative credibility.

But most of all, they help us achieve our ambition of reducing the overall environmental impact of our products across their lifecycle. Here we want to demonstrate the environmental impacts of bearings in terms of embodied energy (energy consumed during production), carbon footprint, and eco-indicators of bearing range for a variety of application. New bearings designed on the concept of green design include seal technologies (hard seal coatings and surface design); light-weight parts (polymers), and ‘lub-for-life” thin film lubrication, which makes re-lubrication unnecessary throughout a bearing’s lifespan. An estimated 50 billion bearings are in use at any time and reduction in energy consumption by a 30-70% depending on the type of use can be tremendous savings in energy. It would consequently reduce carbon dioxide emissions in atmosphere as well as savings in resources and money. It will also lead to enormous reduction in the lubricant disposal. Ships trading in the world’s oceans and seas can eliminate both operational and accidental stem tube oil pollution, while also reducing their operating costs.

In this age of Industry 4.0, the design principles and practice must include the nature of industry today not 100 years old practices. The topics included are most of the concerns and ideas discussed briefly above.

The lecture and presentation should attract experts and professional from industry as well as academia. I have noticed in past instructors teaching such courses and, researchers including Ph.D. candidates are interested in such topics and lectures.

Topics:

  1. Sustainability and Ecological Considerations in Engineering Product Development.
  2. Mathematical techniques used in sustainable optimal design; including Life Cycle Analysis (LCA) for engineering design.
  3. Sustainable Consideration and Mathematics of Recyclability, Reuse, and Circular Economy
  4. Practical and useful applications of sustainability in green power generation, disassembly and recycling, and time elements in assembly and disassembly.
  5. Ecological considerations and sustainability in manufacturing.
  6. Green design and manufacture of sustainable products in the age of Industry 4.0

 

Time: 9:00am – 1:00pm

Presenter and Moderator: Zhenghui Sha, Assistant Professor, UT Austin

Invited Speakers:

  • Molly Goldstein, Teaching Assistant Professor, Product Design Lab Director, UIUC
  • Anastasia Schauer, Assistant Professor, UT Austin
  • John Clay, Research Scientist Assistant, UT Austin
  • Charles Xie, Founder and CEO, Institute for Future Intelligence
  • Daniel Banach, Senior Technical Manager, Education Group at Autodesk Inc.

Description: The overall goals of our proposed workshop are to 1. present invited speakers' research and 2. promote discussion on (a) Generative Design (GD), a new paradigm for engineering design which uses generative artificial intelligence (AI) to automate design space exploration and provide high-performance designs unattainable via traditional human-driven design, and (b) Generative Design Thinking (GDT), the high-level cognitive approach of the human designer using generative-AI tools in the design process. The first half of the half day workshop will feature presentations and Q&A sessions on GD and GDT from researchers, domain experts, and industry practitioners outlining their previous work, experience, and/or opinions on GD/GDT in academia and industry. The second half will consist of a hands-on group activity/discussion in which each attendee will solve a design prompt using one of three computational approaches (evolutionary computation, topology optimization, or generative AI and then (as a group) describe their cognitive approach to using these tools as well as the implications to design research and education.

Time: 2:00pm – 5:00pm

Presenter: Anurag Purwar, PhD., NSF I-Corps PI and Direct

Description: To equip engineering faculty with practical tools and frameworks to translate research into impactful ventures, understand commercialization pathways, and explore federal funding opportunities through programs like NSF I-Corps and SBIR/STTR. We will also delve deeper in business model canvas, value propositions, and customer segments.

Time: 9:00am – 5:00pm

Presenters:

  • Dr. Karl Willis, Senior Research Manager, Autodesk Research
  • Dr. Frank Permenter, Staff Research Scientist, Toyota Research Institute
  • Dr. Sayan Ghosh, Senior Research Engineer, GE Research
  • Dr. Prakhar Jaiswal, Senior Software Engineer, Google

Description: This workshop builds upon our successful sessions from the last two years (2023 and 2024), which attracted a broad range of participants from academia and industry. Over the past editions, we explored recent advances and best practices in data-driven engineering design, featuring invited speakers and interactive discussions on how data can streamline, optimize, and revolutionize design processes. For the 2025 edition, we will extend these conversations to encompass emerging topics such as foundation models, advanced simulation methods, and commercial integration strategies. By bringing together experts from both academic and industrial research, we aim to foster cross-disciplinary collaborations and insightful discussions about the future of engineering. Attendees will engage in hands-on activities to identify critical challenges, brainstorm innovative solutions, and network with leaders in the field. Participants can expect practical insights into new methodologies, exposure to cutting-edge software demonstrations, and opportunities to form interdisciplinary collaborations.

Time: 9:00am – 1:00pm

Presenters:

  • Abheek Chatterjee
  • Shengyen Li
  • Hyunwoong Ko
  • Farhad Imani

Description: The advanced manufacturing paradigm is to create products using innovative technologies and qualify the products in real-time. Digital twins (DTs), employing advanced data, computations, and software tools with physical assets, have the potential to design, monitor, and qualify manufacturing processes and products. For example, machine learning algorithms can cost-effectively recognize the patterns of real-time sensing signals and identify the abnormal steps. The DT technology can help address issues at each stage of the product development lifecycle, including design, manufacturing planning, process control, and product qualification. Many DT examples have proven its capability; however, the development of DTs requires large amounts of high-quality data and an advanced integration infrastructure for combining digital information from multiple sources. Additionally, statistical tools and machine learning models are needed to ensure data quality and consistency efficiently and effectively. Thus, integrating data, computations, and software tools is critical to helping realize DTs for AM.

This workshop contains three main topics:

  1. Overview of the digital thread and digital twin concepts throughout the manufacturing lifecycle (key principles of these concepts)
  2. Data management infrastructure for DTs
  3. Modeling and machine learning
  4. Use cases: DTs for robotics and additive manufacturing

Who should attend: The workshop is intended for students, engineers, and enthusiasts interested in AM, data management, and digital twin technologies wishing to learn more about state-of-the-art frameworks and software tools. A hands-on tutorial will showcase a NIST-developed software toolkit and a sample dataset for metal-based laser powder bed fusion additive manufacturing.

Time: 2:00pm – 5:00pm

Presenter: Meredith Sutton

Description: This workshop will provide participants with an understanding of tradespace exploration (TSE) and its role in the design process. Participants will be introduced to the activities involved in tradespace exploration and analysis, as well as comparisons between TSE and similar exploration and analysis approaches including Design Space Exploration and Analysis of Alternatives. Potential use cases and opportunities for TSE implementation in existing design processes will also be presented.

Participants will then take part in a discussion about their current practice of TSE, highlighting the challenges and successes of the process. They will then collectively develop recommendations for improving the practice and instruction of TSE. An example tradespace will be presented to demonstrate the stages of the TSE process and how simple TSE activities can be integrated into academic settings. Participants will then complete a design activity in teams using the introduced tradespace, simulating a multi-stakeholder tradespace exploration problem.

Time: 9:00am – 1:00pm

Presenter: Mehdi Vahab

Description: This is an introductory interactive workshop on the fundamentals of rigid-body multibody modeling and simulation with Simscape Multibody. The audience will gain a working knowledge of modeling such systems to create the systems of their choice for academic and industry applications. They will learn how to model bodies based on the fundamental geometries and operations (or import CAD files), use frames for positioning and orientation, and assembling and actuation of multibody systems. The multibody systems will be used for system design, analysis, and control in Simulink. We model robotic arms as a sample project. We also share multibody models in automotive, aerospace, and manufacturing with the attendees to facilitate starting their own multibody system modeling and simulation. This is a hands-on workshop. Attendees are encouraged to bring their own laptops to accomplish simple tasks and exercises during the workshop. Required software licenses will be shared with the attendees.

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