1. Principles of Riemannian Geometry in Neural Networks Open Access Author: Hauser, Michael B Title: Principles of Riemannian Geometry in Neural Networks Graduate Program: Mechanical Engineering Keywords: Neural networksAlgebraic geometryRiemannian manifoldsMachine learningNon-abelian gauge theories File: Download thesis-principles-riemannian.pdf Committee Members: Asok Ray, Dissertation Advisor/Co-AdvisorAsok Ray, Committee Chair/Co-ChairShashi Phoha, Committee MemberDaniel Connell Haworth, Committee MemberKenneth Jenkins, Outside Member
2. MULTI-DOMAIN MODELING, SIMULATION AND OPTIMIZATION OF INTEGRATED ENERGY SYSTEMS Open Access Author: Anbarasu, Saranya Title: MULTI-DOMAIN MODELING, SIMULATION AND OPTIMIZATION OF INTEGRATED ENERGY SYSTEMS Graduate Program: Architectural Engineering Keywords: DecarbonizationDecentralizationSmart CommunitiesIntegrated Energy SystemsModelicaReduced order modelingOptimizationReinforcement LearningSustainability.DecarbonizationDecentralizationIntegrated Energy SystemsModelicaReduced-order modelsOptimizationReinforcement learningSustainabilityReal-world case studySmart communitiesNeural networksInterdependencies File: Download Saranya_PSU_Dissertation_PhD.pdf Committee Members: Satadru Dey, Outside Unit & Field MemberWangda Zuo, Chair & Dissertation AdvisorGreg Pavlak, Major Field MemberJames Freihaut, Major Field MemberJiazhen Ling, Special MemberSen Huang, Special MemberJames Freihaut, Program Head/Chair
