Christopher McComb
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View article: Expanding the Generative Power of Large Language Models for Design Through Formal Design Grammars and Languages
Expanding the Generative Power of Large Language Models for Design Through Formal Design Grammars and Languages Open
Research in design grammars has been underway for over 50 years and has demonstrated great generative power for a wide range of design and engineering domains. A key limitation, though, is the lack of support for designers to develop and c…
View article: I cast the drains down in Africa: AM-augmented casting as an enabler for the African manufacturing industry
I cast the drains down in Africa: AM-augmented casting as an enabler for the African manufacturing industry Open
Africa's manufacturing sector is pivotal for economic growth and technological advancement. However, challenges such as inadequate infrastructure, supply chain disruptions, geopolitical tensions, and high costs hinder its development. Thes…
View article: HM-SYNC: A Multimodal Dataset of Human Interactions With Advanced Manufacturing Machinery
HM-SYNC: A Multimodal Dataset of Human Interactions With Advanced Manufacturing Machinery Open
A deep understanding of manufacturing processes is essential for advancing manufacturing-oriented design and engineering complex systems. As advanced manufacturing technologies evolve, systems have grown more complex, and human interaction…
View article: Mind over modality? The impact of design representation on shared understanding in collaborative student engineering design
Mind over modality? The impact of design representation on shared understanding in collaborative student engineering design Open
Collaborative engineering design is increasingly important for modern engineering practices as projects routinely require collaboration across multiple domains. Reaching shared understanding within the team is a critical factor in construc…
View article: Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment Open
Multi-fidelity Reinforcement Learning (RL) frameworks significantly enhance the efficiency of engineering design by leveraging analysis models with varying levels of accuracy and computational costs. The prevailing methodologies, character…
View article: GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets Open
Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives …
View article: GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets Open
Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives …
View article: MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models Open
Material selection plays a pivotal role in many industries, from manufacturing to construction. Material selection is usually carried out after several cycles of conceptual design, during which designers iteratively refine the design solut…
View article: Smooth Like Butter: Evaluating Multi-lattice Transitions in Property-Augmented Latent Spaces
Smooth Like Butter: Evaluating Multi-lattice Transitions in Property-Augmented Latent Spaces Open
Additive manufacturing has revolutionized structural optimization by enhancing component strength and reducing material requirements. One approach used to achieve these improvements is the application of multi-lattice structures, where the…
View article: Enforcing the Principle of Locality for Physical Simulations with Neural Operators
Enforcing the Principle of Locality for Physical Simulations with Neural Operators Open
Time-dependent partial differential equations (PDEs) for classic physical systems are established based on the conservation of mass, momentum, and energy, which are ubiquitous in scientific and engineering applications. These PDEs are stri…
View article: Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions Open
Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this paper, we explore the efficacy of large language models (LLM) in producing diverse design solutions, investigat…
View article: Evaluating Large Language Models for Material Selection
Evaluating Large Language Models for Material Selection Open
Material selection is a crucial step in conceptual design due to its significant impact on the functionality, aesthetics, manufacturability, and sustainability impact of the final product. This study investigates the use of Large Language …
View article: Symmetry Heuristics for Stable Reinforcement Learning Design Agents
Symmetry Heuristics for Stable Reinforcement Learning Design Agents Open
Deep Reinforcement Learning (RL) has emerged as a promising technique for automating configuration design because of its capacity for sequential decision-making. However, it faces challenges in learning stability when complex engineering s…
View article: To Centralize or Decentralize? Examining Cyber-Physical Control on the Manufacturing Shop Floor
To Centralize or Decentralize? Examining Cyber-Physical Control on the Manufacturing Shop Floor Open
Multi-agent Reinforcement Learning (RL) frameworks for job scheduling and navigation control of autonomous mobile robots are becoming increasingly common as a means of increasing productivity in manufacturing. Centralized and decentralized…
View article: Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design
Creation and Implementation of a Project Framework to Improve Cornerstone Engineering Design Open
Introduction to Engineering Design (EDSGN 100) acts as a gateway engineering course for over 3800 students across 20 Penn State campuses each year. Recently, the course has incorporated six educational modules, which cover topics from crea…
View article: Design Practica as Authentic Assessments in First-year Engineering Design Courses
Design Practica as Authentic Assessments in First-year Engineering Design Courses Open
This paper describes the design and evaluation of a novel assessment for first-year engineering design courses that is rooted in an authentic design challenge. This approach modifies the traditional written-exam approach typically found in…
View article: Student and Instructor Reflections on Integrating Short Mindfulness-Based Meditation Practices into a First-Year Engineering Design Course
Student and Instructor Reflections on Integrating Short Mindfulness-Based Meditation Practices into a First-Year Engineering Design Course Open
Engineering students in the United States are experiencing substantial stress and threats to their well-being. Mindfulness-based meditation practice may help students to better manage these challenges as mindfulness-based interventions hav…
View article: Skeleton-based Human Action Recognition in a Thermal Comfort Context
Skeleton-based Human Action Recognition in a Thermal Comfort Context Open
Thermal comfort optimization is key to ensuring the well-being of building occupants and promoting intelligent energy use in the built environment. In the current space of thermal comfort analysis, many techniques are used ranging from mor…
View article: Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives
Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives Open
For decades, cyber-physical systems (CPSs) have transformed the design and management of infrastructure systems, improving their performance through the combination of sensing, computing, and control. However, while the existing CPS paradi…
View article: Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems
Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems Open
The concept of cyber-physical-social infrastructure systems (CPSISs) has been introduced to offer a paradigm shift necessary for including human-centered, or "social," objectives in traditional cyber-physical systems (CPSs). In this paper …