2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Akshay Kudva Citation name Kudva, A. Authored(483c) Constrained Robust Bayesian Optimization of Expensive Black-Box Functions Under UncertaintyAkshay KudvaFarshud SorourifarJoel Paulson2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(400a) Efficient Flexibility Analysis of Computationally Expensive Black-Box Simulators Using Quantile-Based Bayesian OptimizationAkshay KudvaJoel PaulsonWei-Ting Tang2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(674e) Sample-Efficient High-Dimensional MPC Tuning Using Bayesian Optimization over Sparse Axis-Aligned SubspacesAkshay KudvaAli MesbahJoel PaulsonMelanie Huynh2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(56e) Scalable Global Optimization of Gaussian Processes Using a Specialized Branch-and-Bound AlgorithmWei-Ting TangAkshay KudvaCalvin TsayJoel Paulson2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(12f) Bonsai: A Hyper-Sample-Efficient Framework for Robust Global Optimization of Expensive Function Network Systems Under UncertaintyAkshay KudvaWei-Ting TangKevin DonnellyJoel Paulson2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(119d) The Molecular Descriptors with Actively Identified Subspaces (MolDAIS) Framework for Efficient Molecular Property Optimization and BeyondFarshud SorourifarMadhav MuthyalaAkshay KudvaTing-Yeh ChenJoel Paulson2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(364m) Hyper-Sample-Efficient Optimization of Expensive Simulation-Based Models for Process Design Under UncertaintyJoel PaulsonAkshay Kudva2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6) Associated proceedings 2022 Annual Meeting 2023 AIChE Annual Meeting 2024 AIChE Annual Meeting
