Jekyll2026-05-28T10:52:20-07:00https://ryanwang1203.github.io/feed.xmlRyan Wang’s Personal WebsiteRyan Wang's Personal WebsiteRyan Wangywang54@scu.eduInvited Reviewer for ASME IDETC/CIE 20262026-04-05T00:00:00-07:002026-04-05T00:00:00-07:00https://ryanwang1203.github.io/2026/04/05/ASMEServed as a peer reviewer for the ASME IDETC/CIE conference. Evaluated paper: A Data-Driven Computational Framework for Aeroacoustic Propellers Design on Unmanned Aerial Vehicles, Computational Accessibility Analysis for Additive Repair Under Fixed Tool Axis Constraints, and Bridging Cad and Data-Driven Design: Attributed Feature Graphs for Engineering Design.

]]>Ryan Wangywang54@scu.eduSurrogate-assisted optimization project2025-12-12T00:00:00-08:002025-12-12T00:00:00-08:00https://ryanwang1203.github.io/2025/12/12/mech293-surrogate-projectWrapped up my MECH 293 final project on surrogate-assisted optimization for a 1D heterogeneous bar.

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Highlights

  • Trained an MLP surrogate to predict compliance and mass from Young’s moduli.
  • Test RMSE: 1.27e-2 (compliance), 9.77e-3 (mass).
  • Surrogate prescreening reduced FEA calls from 2000 → 50 (~40×) and found a lower compliance design.
]]>Ryan Wangywang54@scu.eduInterview Visit: Meta Reality Labs2025-11-09T00:00:00-08:002025-11-09T00:00:00-08:00https://ryanwang1203.github.io/news/mech276-manufacturing-interviewI visited Meta Reality Labs and interviewed the Ray-Ban Meta smart glasses team lead, Martin Zhang.

]]>Ryan Wangywang54@scu.eduStarted Ph.D. at Santa Clara University2025-09-22T00:00:00-07:002025-09-22T00:00:00-07:00https://ryanwang1203.github.io/2025/09/22/scu-phd-startStarted my Ph.D. in Mechanical Engineering at Santa Clara University, focusing on AI-driven computational design.

]]>Ryan Wangywang54@scu.eduInvited Reviewer for ASME IDETC/CIE 20252025-03-28T00:00:00-07:002025-03-28T00:00:00-07:00https://ryanwang1203.github.io/2025/03/28/ASME-ReviewerServed as a peer reviewer for the ASME IDETC/CIE conference. Evaluated paper: Embedding Sustainability in Product Development: A System Modelling Language-Based Approach Using the Munich Agile Concept.

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