1. Shape Grammar Composition and Salient Feature Identification for a Product Family Open Access Author: Culbertson, Timothy David Title: Shape Grammar Composition and Salient Feature Identification for a Product Family Graduate Program: Industrial Engineering Keywords: product familystylesimilarityshapeaestheticsfeature identificationfreeform surfaceengineering designindustrial designdesign automation File: Download Culbertson_MSIE_Thesis.pdf Committee Members: Timothy William Simpson, Thesis Advisor/Co-Advisor
2. A quantitative assessment of product form and its impact on customer perception and design education Open Access Author: Vasudevan, Nitish Title: A quantitative assessment of product form and its impact on customer perception and design education Graduate Program: Industrial Engineering Keywords: Product formcomplexitysimilarityengineering design File: Download Masters_Thesis_Nitish_Vasudevan.pdf Committee Members: Conrad S Tucker, Thesis Advisor/Co-Advisor
3. A Machine Learning Approach to Automatically Capture Designers’ Affective States during Prototyping Activities Open Access Author: Bezawada, Shruthi Reddy Title: A Machine Learning Approach to Automatically Capture Designers’ Affective States during Prototyping Activities Graduate Program: Industrial Engineering Keywords: affective computingengineering designinterestcomfortengineering machinesintelligent monitoring systems File: Download Bezawada_MS_2016_ThesisFinal.pdf Committee Members: Conrad S Tucker, Thesis Advisor/Co-AdvisorConrad S Tucker, Committee MemberConrad S Tucker, Committee Member
4. An Automated Data Collection System to Capture the Co-evolution of Physical Prototypes and Designer Knowledge Open Access Author: Nelson, Jacob Title: An Automated Data Collection System to Capture the Co-evolution of Physical Prototypes and Designer Knowledge Graduate Program: Mechanical Engineering Keywords: prototypingengineering designdesign data collectionprototypes File: Download thesis_Nelson_JT_final_v2.pdf Committee Members: Jessica Dolores Menold, Thesis Advisor/Co-AdvisorChristopher Carson Mccomb, Committee MemberJessica Dolores Menold, Committee MemberKaren Ann Thole, Program Head/Chair
5. Towards computationally efficient reinforcement learning frameworks for the design of cyber-physical systems Open Access Author: Agrawal, Akash Title: Towards computationally efficient reinforcement learning frameworks for the design of cyber-physical systems Graduate Program: Engineering Design (MS) Keywords: computational efficiencyengineering designreinforcement learningdesign automationcyber-physical systems File: Download Thesis_Akash_Agrawal_7_8_2021.pdf Committee Members: Scarlett Miller, Program Head/ChairChris Mc Comb, Thesis Advisor/Co-AdvisorMatthew B Parkinson, Committee Member
