Kosa Goucher-Lambert is an Assistant Professor of Mechanical Engineering at the University of California, Berkeley. He is an Affiliate Faculty member in the Jacobs Institute of Design Innovation and the Berkeley Institute of Design. Kosa received his B.A (2011) in Physics from Occidental College, and his M.S. (2014) and Ph.D. (2017) in Mechanical Engineering from Carnegie Mellon University. His primary research interests focus on understanding decision-making processes in engineering design using a combination of mathematical analyses, computational modeling, human cognitive studies, and neuroimaging approaches. Kosa is a recipient of the National Science Foundation CAREER Award, 2019 Excellence in Design Science Award, and several best paper awards from the American Society of Mechanical Engineers and the Design Society. Kosa primarily teaches courses on integrated product development, with an emphasis on complex socio-technical challenges.
Understanding complex sketch recognition strategies for intelligent sketch-based design tools
Assessing the alignment between word representations in the brain and large language models
Examining the Design Actions and Reasoning Factors That Impact Design Performance
Conceptual Design Generation Using Large Language Models
VR or Not? Investigating Interface Type and User Strategies for Interactive Design Space Exploration
Examining the Boundary between Near and Far Design Stimuli
Challenges in Extracting Insights from Life Cycle Assessment Documents During Early Stage Design
Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging
Embedding Experiential Design Knowledge in Interactive Knowledge Graphs
Investigating How Engineers and Designers Communicate Design Rationale
Investigating the Roles of Expertise and Modality in Designers' Search for Inspirational Stimuli
Enabling multi-modal search for inspirational design stimuli using deep learning
Inspirational Stimuli Attain Visual Allocation: Examining Design Ideation with Eye-tracking
How does machine advice influence design choice? The effect of error on design decision making
Exploring designers’ encounters with unexpected inspirational stimuli
Do human and computational evaluations of similarity align? An empirical study of product function
Evaluating Quantitative Measures for Assessing Functional Similarity in Engineering Design
Factors Impacting Highly Innovative Designs - Idea Fluency, Timing, and Order
Connecting Design Actions, Reasoning, and Outcomes in Concept Selection
Examining Goal Congruence on Engineering Design and Innovation Student Teams
Multi-modal Search for Inspirational Examples in Design
Aligning Human and Computational Evaluations of Functional Design Similarity
The Role of Idea Fluency and Timing on Highly Innovative Design Concepts
Method Selection in Human-Centered Design Teams: An Examination of Decision-Making Strategies
A Comparison of Vector and Network-based Measures for Assessing Design Similarity
Wisdom of Micro-Crowds in Evaluating Solutions to Esoteric Engineering Problems
Crowdsourcing Inspiration: Using Crowd Generated Inspirational Stimuli to Support Designer Ideation