Christopher McComb

54 papers A* 1C 3Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Few-Shot Temporal Reasoning of LLMs for Human Activity Prediction in Smart Environments. CoRR Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb
2026	J	`jnl`	Forging EMPIRE: A data-driven agent-based model for scenario-based generalizability in spatio-temporal human behavior modeling. Comput. Environ. Urban Syst. Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb
2026	J	`jnl`	Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design. CoRR Zeda Xu, Nikolas Martelaro, Christopher McComb
2025	J	`jnl`	Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization. CoRR Akash Agrawal, Christopher McComb
2025	J	`jnl`	Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI. CoRR Zeda Xu, Nikolas Martelaro, Christopher McComb
2025	J	`jnl`	Comparative Evaluation of Neural Network Architectures for Generalizable Human Spatial Preference Prediction in Unseen Built Environments. CoRR Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb
2025	J	`jnl`	Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions. J. Comput. Inf. Sci. Eng. Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
2025	J	`jnl`	Enforcing the principle of locality for physical simulations with neural operators. J. Comput. Phys. Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb
2025	J	`jnl`	Evaluating Large Language Models for Material Selection. J. Comput. Inf. Sci. Eng. Daniele Grandi, Yash Patawari Jain, Allin Irving Groom, Brandon Cramer, Christopher McComb
2025	J	`jnl`	Expanding the Generative Power of Large Language Models for Design Through Formal Design Grammars and Languages. J. Comput. Inf. Sci. Eng. Kristina Shea, Tino Stankovic, Akash Agrawal, Jonathan Cagan, Christopher McComb
2025	J	`jnl`	KeepDelta: A Python Library for Human-Readable Data Differencing. J. Open Source Softw. Aslan Noorghasemi, Christopher McComb
2025	J	`jnl`	Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models. J. Comput. Inf. Sci. Eng. Vasvi Agarwal, Kathryn W. Jablokow, Christopher McComb
2025	—	`conf`	Simulation vs. Hallucination: Assessing Vision-Language Model Question Answering Capabilities in Engineering Simulations. DESTION@CPSIoTWeek Jessica Ezemba, Christopher McComb, Conrad Tucker
2025	J	`jnl`	Taylor series error correction network for super-resolution of discretized partial differential equation solutions. J. Comput. Phys. Wenzhuo Xu, Christopher McComb, Noelia Grande Gutiérrez
2024	J	`jnl`	Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data. J. Comput. Inf. Sci. Eng. Jiangce Chen, Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Sneha Prabha Narra, Christopher McComb
2024	J	`jnl`	Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment. CoRR Akash Agrawal, Christopher McComb
2024	J	`jnl`	Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs. CoRR Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb
2024	J	`jnl`	Evaluating Large Language Models for Material Selection. CoRR Daniele Grandi, Yash Patawari Jain, Allin Irving Groom, Brandon Cramer, Christopher McComb
2024	J	`jnl`	Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions. CoRR Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
2024	—	`conf`	GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets. ICAIF Zeda Xu, John Liechty, Sebastian Benthall, Nicholas Skar-Gislinge, Christopher McComb
2024	J	`jnl`	GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets. CoRR Zeda Xu, John Liechty, Sebastian Benthall, Nicholas Skar-Gislinge, Christopher McComb
2024	J	`jnl`	MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models. CoRR Yash Patawari Jain, Daniele Grandi, Allin Irving Groom, Brandon Cramer, Christopher McComb
2024	J	`jnl`	Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces. CoRR Martha Baldwin, Nicholas A. Meisel, Christopher McComb
2023	J	`jnl`	AddLat2D the 2D Lattice Generator. Softw. Impacts Martha Baldwin, Nicholas A. Meisel, Christopher McComb
2023	A*	`conf`	AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. NeurIPS Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
2023	J	`jnl`	AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. CoRR Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
2023	J	`jnl`	Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators. CoRR Jiangce Chen, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van den Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb
2023	J	`jnl`	Conceptual Design Generation Using Large Language Models. CoRR Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
2023	—	`conf`	Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives. BuildSys Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb
2023	J	`jnl`	Exploring the impact of set-based concurrent engineering through multi-agent system simulation. Artif. Intell. Eng. Des. Anal. Manuf. Sean Rismiller, Jonathan Cagan, Christopher McComb
2023	—	`conf`	MegaFlow2D: A Parametric Dataset for Machine Learning Super-resolution in Computational Fluid Dynamics Simulations. CPS-IoT Week Workshops Wenzhuo Xu, Noelia Grande Gutiérrez, Christopher McComb
2023	—	`conf`	Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems. BuildSys Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb
2023	J	`jnl`	Reinforcement Learning for Efficient Design Space Exploration With Variable Fidelity Analysis Models. J. Comput. Inf. Sci. Eng. Akash Agrawal, Christopher McComb
2023	—	`conf`	Skeleton-based Human Action Recognition in a Thermal Comfort Context. BuildSys John Martins, Katherine A. Flanigan, Christopher McComb
2023	J	`jnl`	Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions. CoRR Martha Baldwin, Nicholas A. Meisel, Christopher McComb
2023	J	`jnl`	Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging. Artif. Intell. Eng. Des. Anal. Manuf. Mo Hu, Christopher McComb, Kosa Goucher-Lambert
2022	J	`jnl`	Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling. J. Comput. Inf. Sci. Eng. Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb
2022	J	`jnl`	Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search. CoRR Ayush Raina, Jonathan Cagan, Christopher McComb
2022	—	`conf`	Simulating Heterogeneous Portfolio Choices and Financial Market Outcomes. AMPM@JURIX Sebastian Benthall, Christopher D. Carroll, Zachary David, John Liechty, Alan Lujan, Christopher McComb, Nicholas Skar-Gislinge
2022	J	`jnl`	The Relationship Between Performance and Trust in AI in E-Finance. Frontiers Artif. Intell. Torsten Maier, Jessica Menold, Christopher McComb
2022	J	`jnl`	Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations. J. Comput. Inf. Sci. Eng. Matthew Li, Christopher McComb
2021	J	`jnl`	A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant. SN Comput. Sci. Torsten Maier, Saeed Abdullah, Christopher McComb, Jessica Menold
2021	J	`jnl`	A strategic decision-making architecture toward hybrid teams for dynamic competitive problems. Decis. Support Syst. Alparslan Emrah Bayrak, Christopher McComb, Jonathan Cagan, Kenneth Kotovsky
2021	J	`jnl`	Data-Driven Heuristic Induction From Human Design Behavior. J. Comput. Inf. Sci. Eng. Lucas Puentes, Jonathan Cagan, Christopher McComb
2021	J	`jnl`	Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces. CoRR Ayush Raina, Jonathan Cagan, Christopher McComb
2021	J	`jnl`	Empathic creativity: can trait empathy predict creative concept generation and selection? Artif. Intell. Eng. Des. Anal. Manuf. Mohammad Alsager Alzayed, Scarlett R. Miller, Christopher McComb
2021	J	`jnl`	Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design. CoRR Ayush Raina, Lucas Puentes, Jonathan Cagan, Christopher McComb
2021	J	`jnl`	Influencers in design teams: a computational framework to study their impact on idea generation. Artif. Intell. Eng. Des. Anal. Manuf. Harshika Singh, Gaetano Cascini, Christopher McComb
2020	J	`jnl`	Heuristic-Guided Solution Search Through a Two-Tiered Design Grammar. J. Comput. Inf. Sci. Eng. Lucas Puentes, Jonathan Cagan, Christopher McComb
2020	C	`conf`	Towards Enhanced Creativity in Interface Design through Automated Usability Evaluation. ICCC Snehal Dhengre, Jayant Mathur, Farzaneh Oghazian, Xiaomei Tan, Christopher McComb
2020	C	`conf`	Using Adaption-Innovation Theory to Simulate Robustness in Design Teams. ICCC Noriana Radwan, Christopher McComb
2019	J	`jnl`	Learning to design from humans: Imitating human designers through deep learning. CoRR Ayush Raina, Christopher McComb, Jonathan Cagan
2018	C	`conf`	Opportunities for Natural Language Processing in Qualitative Engineering Education Research: Two Examples. FIE Catherine G. P. Berdanier, Eric Baker, Weiqin Wang, Christopher McComb
2014	—	`conf`	Identifying technical and economic improvements to the MoneyMaker Hip pump through multi-objective optimization. GHTC Christopher McComb, Pablo S. Santaeufemia, Nathan G. Johnson, Kenji Shimada