| Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process B Beykal, Z Aghayev, O Onel, M Onel, EN Pistikopoulos Computer Aided Chemical Engineering 49, 1579-1584, 2022 | 3 | 2022 |
| Machine learning methods for endocrine disrupting potential identification based on single-cell data Z Aghayev, AT Szafran, A Tran, HS Ganesh, F Stossi, L Zhou, MA Mancini, ... Chemical Engineering Science 281, 119086, 2023 | 1 | 2023 |
| Data-Driven Optimization of Highly Constrained Oil Recovery Processes Using Neural Network Surrogate Models and Classification Based Implicit Constraint Handling Schemes Z Aghayev, D Voulanas, D Badawi, E Gildin, B Beykal 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Data Driven Framework for Volatile Organic Compounds (VOCs) Characterization M Ali, F Iseri, T Mustapha, Z Aghayev, B Beykal, FA Wright, NM Johnson, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Computational Characterization of the Estrogenic Activity of Environmental Chemicals Using High-Throughput Microscopy and Machine Learning Z Aghayev, GF Walker, F Iseri, M Ali, AT Szafran, F Stossi, MA Mancini, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Binary Classification of the Endocrine Disrupting Chemicals by Artificial Neural Networks Z Aghayev, GF Walker, F Iseri, M Ali, AT Szafran, F Stossi, MA Mancini, ... Computer Aided Chemical Engineering 52, 2631-2636, 2023 | | 2023 |
| Nonlinear Modeling of the Estrogen Receptor Activity of Environmental Chemicals Using Classification Algorithms and Single-Cell Level Data Z Aghayev, AT Szafran, A Tran, HS Ganesh, F Stossi, L Zhou, MA Mancini, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
Burcu BeykalAssistant Professor, Chemical & Biomolecular Engineering, University of ConnecticutVerified email at uconn.edu
