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  3. Beykal, Burcu

Beykal, Burcu

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
  • TEA/LCA

Professional Activities

Member: American Institute of Chemical Engineers
Member: Institute for Operations Research and the Management Sciences

Awards & Honors

2023 ACS Petroleum Research Fund Doctoral New Investigator Award
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

Student Awards

  • Hasan Nikkhah, 1st Place Poster Award, 2024 Foundations of Computer Aided Process Design (FOCAPD) Conference
  • Hasan Nikkhah, 2024 Research Excellence Award, Department of Chemical & Biomolecular Engineering, University of Connecticut
  • Amir Shahbazi, 2024 Graduate Teaching Assistant Award, Department of Chemical & Biomolecular Engineering, University of Connecticut
  • Benjamin G. Cohen, 3rd Place Presentation Award, 2024 University of Connecticut Center for Clean Energy Engineering Graduate Research Summit on Sustainability
  • Hasan Nikkhah, Honorable Mention, 2024 University of Connecticut Center for Clean Energy Engineering Graduate Research Summit on Sustainability 
  • Hasan Nikkhah & Dev Barochia, 2023 Eversource Energy Clean Energy & Sustainability Innovation Program Finalists
  • Hasan Nikkhah, 2023 Teaching Fellow, Department of Chemical & Biomolecular Engineering, University of Connecticut
  • Hasan Nikkhah, 2023 Graduate Teaching Assistant Award, Department of Chemical & Biomolecular Engineering, University of Connecticut
  • Benjamin G. Cohen, 1st Place Poster Award, 9th Annual School of Engineering Poster Competition, University of Connecticut
  • Zahir Aghayev, 2022 Predoctoral Travel Award, Department of Chemical & Biomolecular Engineering, University of Connecticut
  • Zahir Aghayev, 2022 Graduate Teaching Assistant Award, Department of Chemical & Biomolecular Engineering, University of Connecticut
  • Benjamin G. Cohen, 3rd Place Poster Award, University of Connecticut Center for Clean Energy Engineering Symposium
  • Benjamin G. Cohen, 2022 Graduate Teaching Assistant Award, Department of Chemical & Biomolecular Engineering, University of Connecticut 
  • Hasan Nikkhah, 2022 Graduate Teaching Assistant Award, Department of Chemical & Biomolecular Engineering, University of Connecticut 

        Selected Publications

        1. 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.
        2. 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.
        3. 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.
        4. 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.
        5. 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.
        6. 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.
        Email beykal@uconn.edu
        Phone (860) 486-2756
        Office Location PWEB-282
        Link https://beykal.engr.uconn.edu/