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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

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

 

How Implicit Associations of Social Norms can be Operationalized in Engineering Design Practice and Education

Time: 2:00pm – 5:00pm

Presenters: Samantha Kang

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

 

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