Burcu Beykal
Affiliations: | 2013 | Chemical and Biological Engineering | Koc University, Turkey |
| 2014 | Chemical Engineering | Carnegie Mellon University, Pittsburgh, PA | |
| 2021 | Chemical Engineering | Texas A & M University, College Station, TX, United States | |
| 2022- | Chemical & Biomolecular Engineering | University of Connecticut, Storrs, CT, United States |
Website:
https://beykal.engr.uconn.edu/Google:
"Burcu Beykal"Parents
Sign in to add mentor| Meagan S. Mauter | grad student | 2014 | Carnegie Mellon | |
| (Fouling Studies on Capacitive Deionization Electrodes: Experimental Analysis of Protein Adsorption to Charged Surfaces) | ||||
| Efstratios N. Pistikopoulos | grad student | 2020 | Texas A & M | |
| (Advances in Data-Driven Modeling and Global Optimization of Constrained Grey-Box Computational Systems) | ||||
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Publications
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| Beykal B, Diangelakis NA, Pistikopoulos EN. (2022) Continuous-Time Surrogate Models for Data-Driven Dynamic Optimization. Escape. European Symposium On Computer Aided Process Engineering. 51: 205-210 |
| Beykal B, Avraamidou S, Pistikopoulos EN. (2022) Data-Driven Optimization of Mixed-integer Bi-level Multi-follower Integrated Planning and Scheduling Problems Under Demand Uncertainty. Computers & Chemical Engineering. 156 |
| Beykal B, Avraamidou S, Pistikopoulos EN. (2021) Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling Problems. Escape. European Symposium On Computer Aided Process Engineering. 50: 1707-1713 |
| Ganesh HS, Beykal B, Szafran AT, et al. (2021) Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling. Escape. European Symposium On Computer Aided Process Engineering. 50: 481-486 |
| Pappas I, Avraamidou S, Katz J, et al. (2021) Multiobjective Optimization of Mixed-Integer Linear Programming Problems: A Multiparametric Optimization Approach. Industrial & Engineering Chemistry Research. 60: 8493-8503 |
| Orr AA, Wang M, Beykal B, et al. (2021) Combining Experimental Isotherms, Minimalistic Simulations, and a Model to Understand and Predict Chemical Adsorption onto Montmorillonite Clays. Acs Omega. 6: 14090-14103 |
| Bi K, Beykal B, Avraamidou S, et al. (2020) Integrated Modeling of Transfer Learning and Intelligent Heuristic Optimization for Steam Cracking Process. Industrial & Engineering Chemistry Research. 59: 16357-16367 |
| Mukherjee R, Beykal B, Szafran AT, et al. (2020) Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms. Plos Computational Biology. 16: e1008191 |
| Beykal B, Onel M, Onel O, et al. (2020) A data-driven optimization algorithm for differential algebraic equations with numerical infeasibilities. Aiche Journal. American Institute of Chemical Engineers. 66 |
| Beykal B, Avraamidou S, Pistikopoulos IPE, et al. (2020) DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems. Journal of Global Optimization : An International Journal Dealing With Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering. 78: 1-36 |