Simcha Singer

Dr. Simcha Singer is an Assistant Professor in the Department of Mechanical Engineering at Marquette University. His research focuses on heterogeneous combustion, multicomponent droplet vaporization, and the gasification and pyrolysis of solid fuels. He leads the Singer Research Group, developing fundamental particle-scale understanding to improve efficiency and sustainability in energy conversion systems.

Dr. Singer's educational background includes:

• Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology (2012)
• M.S. in Mechanical Engineering from the Massachusetts Institute of Technology (2006)
• B.S.E. in Mechanical Engineering from Northwestern University (2004)

His research spans porous char particles, multicomponent fuel droplets, and biomass conversion processes. He employs 3-D pore-resolving simulations using micro-CT derived geometries and nonisothermal thermogravimetric analysis to study reaction-transport phenomena in porous media. This work bridges particle-scale physics to reactor-scale applications for cleaner energy systems.

Recent publications (2018-2023) emphasize char combustion/gasification, biochar from wastewater solids, and advanced droplet vaporization modeling. His group leverages high-resolution imaging and computational fluid dynamics to quantify morphology effects, while developing novel hybrid thermodynamic-surrogate methods for multicomponent fuels and optimizing catalytic pyrolysis pathways.

No scientific awards are documented in the available information.

Dr. Singer advises graduate students in Mechanical Engineering through the Singer Research Group. His experimental-computational work likely involves external grants from energy/environmental funding agencies, with collaborations evident in wastewater solids research. The group integrates thermogravimetric analysis with pore-scale modeling to address conversion kinetics.

The Singer Research Group operates specialized facilities including nonisothermal TGA systems for pyrolysis/gasification kinetics and high-performance computing for 3-D simulations. They collaborate with micro-CT imaging facilities to obtain real char particle geometries, enabling direct validation of pore-resolving combustion models against experimental data.