Burcu Beykal
Assistant Professor/Chem and Biomolecular Engr
Storrs Mansfield
Are you Burcu Beykal?
How to update your information.
Scholarly Contributions
146 Scholarly Contributions
Data-Driven Optimization of Highly Constrained Oil Recovery Processes Using Neural Network Surrogate Models and Classification Based Implicit Constraint Handling Schemes
2023
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2023/proceeding/paper/430b-data-driven-optimization-highly-constrained-oil-recovery-processes-using-neural-network
Computational Characterization of the Estrogenic Activity of Environmental Chemicals Using High-Throughput Microscopy and Machine Learning
2023
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2023/proceeding/paper/618b-computational-characterization-estrogenic-activity-environmental-chemicals-using-high
Continuous-Time Surrogate Models for Data-Driven Dynamic Optimization
2022
Research Type: Conference Proceedings
https://doi.org/10.1016/B978-0-323-95879-0.50035-7
A Framework to Facilitate Decision Making for Infrastructure Options Analysis of Distribution and Utilities Systems in Chemical Production Plants
2022
Research Type: Conference Proceedings
https://doi.org/10.1016/B978-0-323-95879-0.50140-5
Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process
2022
Research Type: Conference Proceedings
https://doi.org/10.1016/B978-0-323-85159-6.50263-3
Nonlinear Modeling of the Estrogen Receptor Activity of Environmental Chemicals Using Classification Algorithms and Single-Cell Level Data
2022
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2022/proceeding/paper/62d-nonlinear-modeling-estrogen-receptor-activity-environmental-chemicals-using-classification
Recovery of Transparent Dynamic Models from Black-Box Systems Using Symbolic Regression
2022
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2022/proceeding/paper/182f-recovery-transparent-dynamic-models-black-box-systems-using-symbolic-regression
Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling Problems
2021
Research Type: Conference Proceedings
https://doi.org/10.1016/B978-0-323-88506-5.50265-5
Data-Driven Dynamic Optimization Using Continuous- Time Surrogate Models
2021
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2021/proceeding/paper/345c-data-driven-dynamic-optimization-using-continuous-time-surrogate-models
Simultaneous Planning and Scheduling Under Demand Uncertainty for Multi-Product Systems Using Data-Driven Bi-Level Optimization
2021
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2021/proceeding/paper/287h-simultaneous-planning-and-scheduling-under-demand-uncertainty-multi-product-systems-using-data
Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling
2021
Research Type: Conference Proceedings
https://doi.org/10.1016/B978-0-323-88506-5.50076-0
Smart Manufacturing and Optimal Operation of an Industrial Air Separation Unit Via Surrogate Modeling and Multiparametric Programming
2021
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2021/proceeding/paper/434c-smart-manufacturing-and-optimal-operation-industrial-air-separation-unit-surrogate-modeling-and
Predicting Chemical Adsorption Onto Montmorillonite Clays through a Combination of Experimental Isotherms, Minimalistic Simulations and Data-Driven Models
2021
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2021/proceeding/paper/364h-predicting-chemical-adsorption-montmorillonite-clays-through-combination-experimental-isotherms
Modeling the Impact of Environmental Toxicants on the Estrogen Receptor Using Combined Image-Analysis, Big-Data Analytics, and Machine-Learning
2020
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2020/proceeding/paper/339m-modeling-impact-environmental-toxicants-on-estrogen-receptor-using-combined-image-analysis-big
Data-Driven Optimization of Integrated Planning and Scheduling Problems Under Demand Uncertainty
2020
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2020/proceeding/session/interactive-session-data-and-information-systems
At the Interface of Ab-Initio Modeling and Data Analytics: A Hybrid Approach to Process Design, Control, and Optimization
2020
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2020/proceeding/paper/3cn-interface-ab-initio-modeling-and-data-analytics-hybrid-approach-process-design-control-and
Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis
2019
Research Type: Conference Proceedings
https://doi.org/10.1016/B978-0-12-818634-3.50162-4
Bi-Level Mixed-Integer Optimization for Planning and Scheduling Integration Using the DOMINO Framework
2019
Research Type: Conference Proceedings
https://proceedings.aiche.org/conferences/aiche-annual-meeting/2019/proceeding/paper/575c-bi-level-mixed-integer-optimization-planning-and-scheduling-integration-using-domino-framework
Quantitative Evaluation of Grouping Complex Substances and Sorbent Material Design: Delivering Data-Informed Insights
2019
Research Type: Conference Proceedings
Modeling of Thermal Cracking of Natural Gas Liquids: Optimization with Support Vector Machine-Based Constraint Handling Scheme for Stiff ODEs
2019
Research Type: Conference Proceedings