Journal Articles


  1. Kenefake, D.; Pappas, I.; Avraamidou, S.; Beykal, B.; Ganesh, H.S.; Cao, Y.; Wang, Y.; Otashu, J.; Leyland, S.; Flores-Cerrillo, J.; Pistikopoulos, E.N. A Smart Manufacturing Strategy for Multi-Parametric Model Predictive Control in Air Separation Systems, Journal of Advanced Manufacturing and Processing, 2022, e10120.
  2. 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.


  1. Pappas, I.; Avraamidou, S.; Katz, J.; Burnak, B.; Beykal, B.; Turkay, M.; Pistikopoulos, E.N. Multiobjective Optimization of Mixed-Integer Linear Programming Problems: A Multiparametric Optimization Approach, Industrial & Engineering Chemistry Research, 2021, 60(23), 8493-8503.
  2. Orr, A.A.; Wang, M.; Beykal, B.; Ganesh, H.S.; Hearon, S.; Pistikopoulos, E.N.; Phillips, T.D.; Tamamis, P. Combining Experimental Isotherms, Minimalistic Simulations, and a Model to Understand and Predict Chemical Adsorption onto Montmorillonite Clays, ACS Omega, 2021, 6(22), 14090-14103.


  1. 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.
  2. Bi, K.; Beykal, B.; Pappas, I.; Avraamidou, S.; Pistikopoulos, E.N.; Qui, T. Integrated Modeling of Transfer Learning and Intelligent Heuristic Optimization for Steam Cracking Process. Industrial & Engineering Chemistry Research, 2020, 59(37), 16357-16367.
  3. 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.
  4. 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.


  1. 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.


  1. 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.
  2. 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.


  1. Sorek, N.; Gildin, E.; Boukouvala, F.; Beykal, B.; Floudas, C.A. Dimensionality Reduction for Production Optimization Using Polynomial Approximations. Computational Geosciences, 2017, 21, 247-266.


  1. Beykal, B.; Herzberg, M.; Oren, Y.; Mauter, M.S. Influence of Surface Charge on the Rate, Extent, and Structure of Adsorbed Bovine Serum Albumin to Gold Electrodes. Journal of Colloid and Interface Science, 2015, 460, 321-328.


  1. Uzunlar, E.; Beykal, B.; Ehrlich, K.; Sanli, D.; Jonáš, A.; Alaca, B.E.; Kiraz, A.; Urey, H.; Erkey, C. Frequency Response of Microcantilevers Immersed in Gaseous, Liquid, and Supercritical Carbon Dioxide. The Journal of Supercritical Fluids, 2013, 81, 254-264.

Conference Proceedings


  1. Di Martino, M.; Pappas, I.; Tran, A.; Allen, R.C.; Husfeld, R.R.; Eleff, S.; Moffatt, S.G.; Avraamidou, S.; Beykal, B.; Pistikopoulos, E.N. A Framework to Facilitate Decision Making for Infrastructure Options Analysis of Distribution and Utilities Systems in Chemical Production Plants, Computer Aided Chemical Engineering, 2022, 51, 835-840, Elsevier.
  2. Beykal, B.; Diangelakis, N.A.; Pistikopoulos, E.N. Continuous-Time Surrogate Models for Data- Driven Dynamic Optimization, Computer Aided Chemical Engineering, 2022, 51, 205-210, Elsevier.
  3. 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, 49, 1579-1584.


  1. Beykal, B.; Avraamidou, S.; Pistikopoulos, E.N. Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling Problems, Computer Aided Chemical Engineering, 2021, 50, 1707-1713, Elsevier.
  2. 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, Computer Aided Chemical Engineering, 2021, 50, 481-486, Elsevier.


  1. Mukherjee, R.; Onel, M.; Beykal, B.; Szafran, A.T.; Stossi, F.; Mancini, M.A.; Zhou, L.; Wright, F.A.; Pistikopoulos, E.N. Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis. Computer Aided Chemical Engineering, 2019, 46, 967-972, Elsevier.


  1. 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. Computer Aided Chemical Engineering, 2018, 43, 421-426, Elsevier.
  2. 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. Computer Aided Chemical Engineering, 2018, 44, 1885-1890, Elsevier.