Assistant Professor
Postdoc, Data Analytics/Optimization, Texas A&M University (2021)
Ph.D., Chemical Engineering, Texas A&M University (2020)
M.S., Chemical Engineering, Carnegie Mellon University (2014)
B.S., Chemical & Biological Engineering, Koc University (2013)
Current Research
- Process Systems Engineering
- Machine Learning/AI
- Data-driven Optimization
- Supply Chain Optimization
- Energy Systems Design
- Data-driven Modeling of Environmental & Biological Systems
Professional Activities
Member: American Institute of Chemical Engineers
Member: Institute for Operations Research and the Management Sciences
Awards & Honors
2022 | ACS Petroleum Research Fund |
2020 | AIChE CAST Directors’ Award |
2020 | Outstanding Graduate Student Award, Artie McFerrin Department of Chemical Engineering, Texas A&M University |
2019 | MIT Rising Stars in Chemical Engineering |
Selected Publications
- Z Aghayev, AT Szafran, A Tran, HS Ganesh, F Stossi, L Zhou, MA Mancini, EN Pistikopoulos, B Beykal. Machine Learning Methods for Endocrine Disrupting Potential Identification Based on Single-Cell Data. Chemical Engineering Science, 2023, 119086.
- H Nikkhah, B Beykal. Process Design and Technoeconomic Analysis for Zero Liquid Discharge Desalination via LiBr Absorption Chiller Integrated HDH-MEE-MVR System, Desalination, 2023, 116643.
- B Beykal, S Avraamidou, EN Pistikopoulos. Data-Driven Optimization of Mixed-integer Bi-level Multi-follower Integrated Planning and Scheduling Problems Under Demand Uncertainty, Computers & Chemical Engineering, 2022, 156, 107551.
- B Beykal, F Boukouvala, CA Floudas, EN Pistikopoulos. Optimal Design of Energy Systems Using Constrained Grey-Box Multi-Objective Optimization. Computers & Chemical Engineering, 2018, 116, 488-502.
- B Beykal, S Avraamidou, IPE Pistikopoulos, M Onel, EN Pistikopoulos. DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems. Journal of Global Optimization, 2020, 78, 1-36.
- K Bi, B Beykal, I Pappas, S Avraamidou, EN Pistikopoulos, T Qui. Integrated Modeling of Transfer Learning and Intelligent Heuristic Optimization for Steam Cracking Process. Industrial & Engineering Chemistry Research, 2020, 59(37), 16357-16367.
beykal@uconn.edu | |
Phone | (860) 486-2756 |
Office Location | UTEB-282 |
Link | https://beykal.engr.uconn.edu/ |