Research Scientist (Water Desalination) Candidate Seminar
Title: Characterization of interfacial phenomena in membrane processes using empirical, neural network & direct methods. Abstract: Interfaces govern the performance, lifetime & reliability of engineered systems for water treatment. Understanding the phenomena that occur at these interfaces is crucial to informing process innovation & advancement. An example is thermal energy transport to the water-membrane interface in the Membrane Distillation (MD) process which governs flux, water recovery & thermal efficiency. Past efforts to quantify the energy transport to the water-membrane interface have used thermal transport models that rely on bulk temperature & flow rate measurements & the inaccuracies from this approach led to high uncertainty in translating process performance from the bench to commercial scale. Talk will highlight experimental & modeling efforts to develop a generalizable approach to describing the thermal driving force in MD systems. I will present recent work in using neural networks as a tool for quantifying how the selection of experimentally measurable parameters & error in these parameters affects the characterization of interfacial phenomena in MD. I will present initial work on developing a novel method for direct measurement of the surface temperature at the water-membrane interface using thermoreflectance, used for validation of MD perf. model
Alexander V. Dudchenko
Postdoctoral Scholar, Department of Civil & Environmental, Stanford University
Dr. Alexander Dudchenko is a Postdoctoral Scholar at Stanford University in the Department of Civil and Environmental Engineering. His current work focuses on the application of Neural Networks for characterization of interfacial phenomena in membrane processes, and their application toward optimal control of water treatment processes. His previous postdoctoral work at Carnegie Mellon University focused on elucidating the mechanisms responsible for fouling resistance of chemically heterogeneous surfaces with nanoscale structures and developing methods for studying non-ideal heat transfer in membrane distillation. He earned his Ph.D. in Chemical and Environmental Engineering from the University of California, Riverside, where he leveraged the unique conductive and surface energy properties of nanomaterials to improve high salinity water, produced water, and wastewater treatment processes. His work on membrane water treatment processes and a commitment to solving water treatment issues have been recognized by Young Membrane Scientist Award from North American Membrane Society and NSF Integrative Graduate Education and Research Traineeship Program fellowship. He earned his B.S. in Chemical Engineering from University of California, Riverside, where he performed research on photocatalysts for water treatment applications.