Burcu Beykal

Assistant Professor

Chemical & Biomolecular Engineering


PhD, Texas A&M University (2020)

Previous Positions

  • Postdoctoral Research Associate, Texas A&M Energy Institute, Texas A&M University (2020-2021)

Current Research

  • Process Systems Engineering
  • Machine Learning
  • Data-Driven Optimization
  • Energy Systems Design and Optimization
  • Environmental & Biological Modeling
  • Data Analytics

Professional Activities

  • Member: American Institute of Chemical Engineers – Computing & Systems Technology Division

Awards and Honors

  • CAST Directors’ Award, AIChE Computing and Systems Technology Division (2020)
  • Outstanding Graduate Student Award, Artie McFerrin Department of Chemical Engineering, Texas A&M University (2019)
  • MIT Rising Stars in Chemical Engineering, Massachusetts Institute of Technology (2019)

Selected Publications

  • Beykal, B.; Aghayev, Z.; Onel, O.; Onel, M.; Pistikopoulos, E.N. Data-driven Stochastic Optimization of Numerically Infeasible Differential Algebraic Equations: An Application to the Steam Cracking Process, Computer Aided Chemical Engineering, 2022, 49, 1579-1584.
  • Beykal, B.; Avraamidou, S.; Pistikopoulos, E.N. Data-Driven Optimization of Mixed-integer Bi-level Multi-follower Integrated Planning and Scheduling Problems Under Demand Uncertainty, Computers & Chemical Engineering, 2022, 156, 107551.
  • Beykal, B.; Avraamidou, S.; Pistikopoulos, I.P.E.; Onel, M.; Pistikopoulos, E.N. DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems. Journal of Global Optimization, 2020, 78, 1–36.
  • 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.
  • 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.
  • Onel, M.; Beykal, B.; Ferguson, K.; Chiu, W.A.; McDonald, T.J.; Zhou, L.; 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(10): e0223517.
  • 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.
  • Beykal, B.; Boukouvala, F.; Floudas, C.A.; Sorek, N.; Zalavadia, H.; Gildin, E. Global Optimization of Grey-Box Computational Systems Using Surrogate Functions and Application to Highly Constrained Oil-Field Operations. Computers & Chemical Engineering, 2018, 114, 99-110.
    Picture of Professor Burcu Beykal
    Contact Information
    Emailburcu.beykal@uconn.edu
    Phone(860) 486-2756
    Office LocationUTEB-282
    Linkhttps://beykal.engr.uconn.edu/
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