| Advances in surrogate based modeling, feasibility analysis, and optimization: A review A Bhosekar, M Ierapetritou Computers & Chemical Engineering 108, 250-267, 2018 | 700 | 2018 |
| Modular design optimization using machine learning-based flexibility analysis A Bhosekar, M Ierapetritou Journal of Process Control 90, 18-34, 2020 | 39 | 2020 |
| A framework for supply chain optimization for modular manufacturing with production feasibility analysis A Bhosekar, M Ierapetritou Computers & Chemical Engineering 145, 107175, 2021 | 38 | 2021 |
| Modular supply chain optimization considering demand uncertainty to manage risk A Bhosekar, O Badejo, M Ierapetritou AIChE Journal 67 (11), e17367, 2021 | 28 | 2021 |
| Multiobjective modular biorefinery configuration under uncertainty A Bhosekar, A Athaley, M Ierapetritou Industrial & Engineering Chemistry Research 60 (35), 12956-12969, 2021 | 17 | 2021 |
| Adaptive sampling approaches for surrogate-based optimization L Dias, A Bhosekar, M Ierapetritou Computer aided chemical engineering 47, 377-384, 2019 | 16 | 2019 |
| Branch-and-Model: a derivative-free global optimization algorithm K Ma, LM Rios, A Bhosekar, NV Sahinidis, S Rajagopalan Computational Optimization and Applications 85 (2), 337-367, 2023 | 11 | 2023 |
| A discontinuous derivative-free optimization framework for multi-enterprise supply chain A Bhosekar, M Ierapetritou Optimization Letters 14 (4), 959-988, 2020 | 11 | 2020 |
| Space mapping based derivative-free optimization framework for supply chain optimization A Bhosekar, M Ierapetritou Computer Aided Chemical Engineering 44, 985-990, 2018 | 4 | 2018 |
| Supply chain optimization and modular process design using machine learning-based frameworks A Bhosekar Rutgers The State University of New Jersey, School of Graduate Studies, 2020 | 1 | 2020 |
| Data-driven optimization A Bhosekar, P Petsagkourakis 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Integration of Modular Processing in Supply Chain Optimization A Bhosekar, M Ierapetritou 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| An Efficient Data-Based Methodology to Identify the Design Space of Continuous Pharmaceutical Manufacturing Processes N Metta, M Ierapetritou, R Ramachandran, A Bhosekar 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Data-Driven Feasibility Analysis for Modular Design Under Demand Variability LS Dias, A Bhosekar, M Ierapetritou 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Surrogate-Based Optimization Framework in Process Systems Engineering A Bhosekar, LS Dias, Z Wang, M Ierapetritou 2018 AIChE Annual Meeting, 2018 | | 2018 |
| Surrogate-Based Derivative-Free Optimization of a Multi-Enterprise Supply Chain Simulation A Bhosekar, M Ierapetritou 2018 AIChE Annual Meeting, 2018 | | 2018 |
Marianthi IerapetritouGore Centennial Professor, Department of Chemical and Biomolecular Engineering, University ofE-mailová adresa ověřena na: udel.edu