Burcu Beykal

Postdoctoral Research Associate burcubeykal@tamu.edu

Short Bio

Dr. Burcu Beykal is a Postdoctoral Research Associate at the Texas A&M Energy Institute. She holds a B.S. degree in Chemical and Biological Engineering from Koc University, an M.S. degree in Chemical Engineering from Carnegie Mellon University, and a Ph.D. degree in Chemical Engineering from Texas A&M University. Her research focuses on data analytics and data-driven optimization for chemical, environmental, and biological systems.

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Publications

  1. Pappas, I.; Avraamidou, S.; Katz, J.; Burnak, B.; Beykal, B.; Turkay, M.; Pistikopoulos, E. N. "Mixed-integer Linear Multi-objective Optimization through Multiparametric Programming".
  2. Beykal, B.; Avraamidou, S.; Pistikopoulos, E. N. Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling Problems. 31st European Symposium on Computer Aided Process Engineering (ESCAPE-31); 2021.
  3. Ganesh, H. S.; Beykal, B.; Szafran, A. T.; Stossi, F.; Zhou, L.; Mancini, M. A.; Pistikopoulos, E. N. Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling. 31st European Symposium on Computer Aided Process Engineering (ESCAPE-31); 2021.
  4. Orr, A.; Wang, M.; Beykal, B. ,; Ganesh, H. S.; Sara, H.; Pistikopoulos, E. N.; Phillips, T.; Tamamis, P. "A Combination of Experimental Isotherms, Minimalistic Simulations and Models for Understanding and Predicting Chemical Adsorption onto Montmorillonite Clays".
  5. Beykal, B.; Avraamidou, S.; Pistikopoulos, P. E. I.; Onel, M.; Pistikopoulos, E. N. DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems. Journal of Global Optimization 2020, 78 (1), 1-36.
  6. Beykal, B.; Onel, M.; Onel, O.; Pistikopoulos, E. N. A Data-Driven Optimization Algorithm for Differential Algebraic Equations with Numerical Infeasibilities. AIChE Journal 2020, 66 (10), e16657.
  7. Mukherjee*, R.; Beykal*, B.; Szafran, A. T.; Onel, M.; Stossi, F.; Mancini, M. G.; Lloyd, D.; Wright, F. A.; Zhou, L.; Mancini, M. A.; Pistikopoulos, E. N. Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms. PLOS Computational Biology 2020, 16 (9), e1008191.
  8. Bi, K.; Beykal, B.; Avraamidou, S.; Pappas, I.; Pistikopoulos, E. N.; Qiu, T. Integrated Modeling of Transfer Learning and Intelligent Heuristic Optimization for Steam Cracking Process. Industrial & Engineering Chemistry Research 2020, 59, 16357-16367.
  9. Onel, M.; Beykal, B.; Ferguson, K.; Chiu, W. A.; McDonald, T. J.; House, J. S.; Wright, F. A.; Sheen, D. A.; Rusyn, I.; Pistikopoulos, E. N. Grouping of Complex Substances Using Analytical Chemistry Data: A Framework for Quantitative Evaluation and Visualization. PLoS ONE 2019, 14, e0223517.
  10. Mukherjee, R.; Onel, M.; Beykal, B.; Szafran, A. T.; Stossi, F.; Mancini, M. A.; Zhou, L.; Wright, F.; Pistikopoulos, E. N. Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis. 29th European Symposium on Computer-Aided Process Engineering (ESCAPE-29); Elsevier, 2019; pp 967-972.
  11. Beykal, B.; Boukouvala, F.; Floudas, C. A.; Pistikopoulos, E. N. Optimal Design of Energy Systems Using Constrained Grey-Box Multi-Objective Optimization. Computers & Chemical Engineering 2018, 116, 488-502.
  12. Onel, M.; Beykal, B.; Wang, M.; Grimm, F. A.; Zhou, L.; Wright, F. A.; Phillips, T. D.; Rusyn, I.; Pistikopoulos, E. N. Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques. 28th European Symposium on Computer-Aided Process Engineering (ESCAPE-28); Elsevier, 2018; pp 421-426.
  13. Avraamidou, S.; Beykal, B.; Pistikopoulos, I. P. E.; Pistikopoulos, E. N. A hierarchical Food-Energy-Water Nexus (FEW-N) Decision-making Approach for Land Use Optimization. 13th International Symposium on Process Systems Engineering (PSE 2018); Elsevier, 2018; pp 1885-1890.

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