Pegah Naghshnejad - Ph.D.
    • B.Sc., Science and Research University, Tehran, Iran

    •  
      Research Projects
      • Integration of Machine Learning and Molecular dynamics in design of electrically-driven separation systems.

       
Gabriela Theis Marchan - Ph.D.
    • B.Sc., Universidad Centra de Venzuela, Venezuela

      M.Sc., Southeastern Louisiana University, U.S.

    •  
      Research Projects
      • Integration of Machine Learning and Molecular dynamics in design of electrically-driven separation systems.

       
Teslim Olayiwola - Ph.D.
    • BSc., Ladoke Akintola University of Technology, Nigeria

      MSc., African University of Science and Technology, Nigeria

    •  
      Research Projects
      • Integration of Machine Learning and Molecular dynamics in design of electrically-driven separation systems.

       
Estelle Seghers – M.Sc.
    • B.Sc., Louisiana State University, 2021

    •  
      Research Projects
      • Data mining, fault detection and knowledge discovery in oil refineries.

       
Keshani Gallage – Ph.D. (C)
    • B.Sc., University of Colombo, Sri Lanka

    •  
      Research Projects
      • Molecular dynamics

      • Machine Learning assisted multiscale modeling of ionic separation systems.

       
Zachary Webb - Ph.D. (C)
    • B.Sc., Louisiana State University, 2016

    •  
      Research Projects
      • Data mining, fault detection and knowledge discovery in oil refineries.

       
Luis Briceño-Mena – Ph.D. (C)
    • B.Sc., Universidad de Costa Rica, 2015

    •  
      Research Projects
      • Machine Learning applications for process modeling and optimization with scarce availability of data.

      • Machine Learning assisted multiscale modeling and optimization of high temperature polymer electrolyte fuel cells and ionic separation systems.

       
Miriam Nnadili – Ph.D. (C)
    • M.Sc., University of Texas at Austin, 2011

    • BS, University of Port Harcourt, Nigeria 2009

    •  
      Research Projects
      • Data mining and knowledge discovery in process monitoring and biological applications.

       
       
Geaux Alumni