Burcu Beykal
Assistant Professor/Chem and Biomolecular Engr

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Dimensionality reduction for production optimization using polynomial approximations
2017
Burcu Beykal, Fani Boukouvala, Eduardo Gildin, Nadav Sorek, Christodoulos A. Floudas
Research Type: Journal Article

https://doi.org/10.1007/s10596-016-9610-3
Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis
2019
Melis Onel, Efstratios N Pistikopoulos, Burcu Beykal, Michael A Mancini, Lan Zhou, Rajib Mukherjee, Fred A Wright, Fabio Stossi, Adam T Szafran
Research Type: Conference Proceedings

https://doi.org/10.1016/B978-0-12-818634-3.50162-4
Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration
2019
Efstratios N Pistikopoulos, Adam T Szafran, Lan Zhou, Rajib Mukherjee, Fabio Stossi, Burcu Beykal, Fred A Wright, Melis Onel, Michael A Mancini
Research Type: Poster/Presentation

Development of Single Cell, Multi-parametric Medium/High Throughput Platforms and Informatics to Quantify and Classify Endocrine Disruptor Potential of Environmental Contaminants and Mixtures
2018
Arvind Rao, Melis Onel, Adam T Szafran, Pankaj Singh, Burcu Beykal, Efstratios N Pistikopoulos, Fabio Stossi, Rajib Mukherjee, Maureen G Mancini, Michael A Mancini
Research Type: Poster/Presentation

Design and Optimization of a Multipurpose Zero Liquid Discharge Desalination Plant
2024
Hasan Nikkhah, Burcu Beykal, Dev Barochia
Research Type: Conference Proceedings

https://doi.org/10.69997/sct.142929
Design and Optimization of a Multipurpose Zero Liquid Discharge Desalination Plant
2024
Hasan Nikkhah, Dev Barochia, Burcu Beykal
Research Type: Poster/Presentation

Design & Analysis of a Zero Liquid Discharge Multipurpose Desalination Plant
2023
Burcu Beykal, Hasan Nikkhah
Research Type: Poster/Presentation

Degradation Studies of Fuel Cell Cathode Catalyst Layers Using Machine Learning
Dietmar Gerteisen, Andres O Godoy, Burcu Beykal, Mariah Batool, Jasna Jankovic, Oluwafemi Joseph Sanumi, Patrick Schneider, Rajveer Singh, Nada Zamel
Research Type: Conference Proceedings

Deeponet-Driven Surrogate Model for Enhanced Rwgs Membrane Reactor Performance
2025
Zahir Aghayev, Burcu Beykal, Michael Patrascu, Zhaofeng Li
Research Type: Poster/Presentation

Data-driven joint chance-constrained optimization via copulas: Application to MINLP integrated planning and scheduling
2025
Hasan Nikkhah, Styliani Avraamidou, Meng-Lin Tsai, Syu-Ning Johnn, Vassilis Charitopoulos, Burcu Beykal
Research Type: Conference Proceedings

Data-driven Stochastic Optimization of the Steam Cracking Process with Implicit Constraints
2022
Research Type: Poster/Presentation

Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process
2022
Melis Onel, Burcu Beykal, Efstratios N Pistikopoulos, Onur Onel, Zahir Aghayev
Research Type: Conference Proceedings

https://doi.org/10.1016/B978-0-323-85159-6.50263-3
Data-driven Discovery of Reaction Kinetic Models in Dynamic Plug Flow Reactors using Symbolic Regression
2024
Burcu Beykal, Ben Cohen, Georgios Bollas
Research Type: Conference Proceedings

https://doi.org/10.1016/B978-0-443-28824-1.50492-0
Data-driven Bi-level Optimization of Hyperparameters for Machine Learning Models
2024
Hasan Nikkhah, Amir Shahbazi, Zahir Aghayev, Burcu Beykal
Research Type: Conference Proceedings

https://proceedings.aiche.org/conferences/aiche-annual-meeting/2024/proceeding/paper/373r-data-driven-bi-level-optimization-hyperparameters-machine-learning-models
Data-Driven Optimization with Implicit Constraints: Application to an Ethane Steam Cracking Process
2018
Efstratios N Pistikopoulos, Onur Onel, Melis Onel, Burcu Beykal
Research Type: Conference Proceedings

https://proceedings.aiche.org/conferences/aiche-annual-meeting/2018/proceeding/paper/126d-data-driven-optimization-implicit-constraints-application-ethane-steam-cracking-process
Data-Driven Optimization of Mixed-integer Bi-level Multi-follower Integrated Planning and Scheduling Problems Under Demand Uncertainty
2022
Styliani Avraamidou, Burcu Beykal, Efstratios N Pistikopoulos
Research Type: Journal Article

https://doi.org/10.1016/j.compchemeng.2021.107551
Data-Driven Optimization of Mixed-Integer Nonlinear Integrated Planning and Scheduling Problems for Multiproduct Manufacturing Processes
2023
Hasan Nikkhah, Burcu Beykal, Vassilis M Charitopoulos, Styliani Avraamidou
Research Type: Conference Proceedings

https://proceedings.aiche.org/conferences/aiche-annual-meeting/2023/proceeding/paper/347d-data-driven-optimization-mixed-integer-nonlinear-integrated-planning-and-scheduling-problems
Data-Driven Optimization of Integrated Planning and Scheduling Problems Under Demand Uncertainty
2020
Burcu Beykal, Styliani Avraamidou, Efstratios N Pistikopoulos
Research Type: Conference Proceedings

https://proceedings.aiche.org/conferences/aiche-annual-meeting/2020/proceeding/session/interactive-session-data-and-information-systems
Data-Driven Optimization of Highly Constrained Oil Recovery Processes Using Neural Network Surrogate Models and Classification Based Implicit Constraint Handling Schemes
2023
Burcu Beykal, Dimitrios Voulanas, Daniel Badawi, Zahir Aghayev, Eduardo Gildin
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
Data-Driven Optimization Algorithms
2024
Efstratios N. Pistikopoulos, Burcu Beykal
Research Type: Book Chapter

https://doi.org/10.1016/B978-0-323-99134-6.00006-2