Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Burcu Beykal

Showing results (1-10 of 32) with videos related to

Pageof 4
Sort By:
Systems & Control Transactions|September 16, 2024
From Then to Now and Beyond: Exploring How Machine Learning Shapes Process Design ProblemsBurcu Beykal
ESCAPE. European Symposium on Computer Aided Process Engineering|August 20, 2021
Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling ProblemsBurcu Beykal, Styliani Avraamidou, Efstratios N Pistikopoulos
Journal of Computational Physics|September 23, 2024
Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy dataBenjamin G Cohen, Burcu Beykal, George Bollas
Computers & Chemical Engineering|November 1, 2021
Data-Driven Optimization of Mixed-integer Bi-level Multi-follower Integrated Planning and Scheduling Problems Under Demand UncertaintyBurcu Beykal, Styliani Avraamidou, Efstratios N Pistikopoulos
ESCAPE. European Symposium on Computer Aided Process Engineering|January 9, 2023
Continuous-Time Surrogate Models for Data-Driven Dynamic OptimizationBurcu Beykal, Nikolaos A Diangelakis, Efstratios N Pistikopoulos
Industrial & Engineering Chemistry Research|April 21, 2025
Surrogate-Assisted Optimization of Highly Constrained Oil Recovery Processes Using Classification-Based Constraint ModelingZahir Aghayev, Dimitrios Voulanas, Eduardo Gildin, et al.
Systems & Control Transactions|September 15, 2025
Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic RegressionBenjamin G Cohen, Burcu Beykal, George M Bollas
Ifac-Papersonline|September 15, 2025
Learning Approximate Symbolic Solutions to Burgers' Equation using Symbolic RegressionBenjamin G Cohen, Burcu Beykal, George M Bollas
Computers & Chemical Engineering|May 13, 2026
Hyperparameter Optimization of Non-linear Machine Learning Models Using Bi-level Data-Driven OptimizationAmir Shahbazi, Hasan Nikkhah, Zahir Aghayev, et al.
Aiche Journal. American Institute of Chemical Engineers|September 14, 2020
A data-driven optimization algorithm for differential algebraic equations with numerical infeasibilitiesBurcu Beykal, Melis Onel, Onur Onel, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Systems & Control Transactions|September 16, 2024
From Then to Now and Beyond: Exploring How Machine Learning Shapes Process Design ProblemsBurcu Beykal
ESCAPE. European Symposium on Computer Aided Process Engineering|August 20, 2021
Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling ProblemsBurcu Beykal, Styliani Avraamidou, Efstratios N Pistikopoulos
Journal of Computational Physics|September 23, 2024
Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy dataBenjamin G Cohen, Burcu Beykal, George Bollas
Computers & Chemical Engineering|November 1, 2021
Data-Driven Optimization of Mixed-integer Bi-level Multi-follower Integrated Planning and Scheduling Problems Under Demand UncertaintyBurcu Beykal, Styliani Avraamidou, Efstratios N Pistikopoulos
ESCAPE. European Symposium on Computer Aided Process Engineering|January 9, 2023
Continuous-Time Surrogate Models for Data-Driven Dynamic OptimizationBurcu Beykal, Nikolaos A Diangelakis, Efstratios N Pistikopoulos
Industrial & Engineering Chemistry Research|April 21, 2025
Surrogate-Assisted Optimization of Highly Constrained Oil Recovery Processes Using Classification-Based Constraint ModelingZahir Aghayev, Dimitrios Voulanas, Eduardo Gildin, et al.
Systems & Control Transactions|September 15, 2025
Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic RegressionBenjamin G Cohen, Burcu Beykal, George M Bollas
Ifac-Papersonline|September 15, 2025
Learning Approximate Symbolic Solutions to Burgers' Equation using Symbolic RegressionBenjamin G Cohen, Burcu Beykal, George M Bollas
Computers & Chemical Engineering|May 13, 2026
Hyperparameter Optimization of Non-linear Machine Learning Models Using Bi-level Data-Driven OptimizationAmir Shahbazi, Hasan Nikkhah, Zahir Aghayev, et al.
Aiche Journal. American Institute of Chemical Engineers|September 14, 2020
A data-driven optimization algorithm for differential algebraic equations with numerical infeasibilitiesBurcu Beykal, Melis Onel, Onur Onel, et al.
Pageof 4