Dr. Edward Hensel is a licensed Professional Engineer, Professor of Mechanical Engineering, Associate Dean of Graduate Studies in the College of Engineering at RIT.
Dr. Hensel's research is focused on computational methods in engineering, with a special emphasis on large scale scientific simulation across a wide range of computing platforms ranging from desktops to vector supercomputers and massively parallel distributed systems with multiple sensor sources subject to inaccuracies and inconsistencies. Dr. Hensel applied his expertise in large-scale noisy experimental data sets to develop the Topography Analysis Program (TAP) which automated accurate puff detection and embedded statistical testing algorithms to speed up the differential assessment of topography characteristics. In addition, Dr. Hensel’s hardware and software expertise has been integral to developing an advanced control systems capable of reproducing natural use topography waveforms with the programmable emissions system (PES); such systems are not commercially available. The TAP program was used to analyze experimental data collected with RIT’s wPUM topography and personal use monitor for three observational studies ranging in duration from 24 hours to two weeks, with cohort sizes of 35 participants, including a project to measure topography of e-cigs in the natural environment with wPUM monitor and a project to observe e-cig use characteristics of flavored liquids.
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Short Biography
Dr. Edward Hensel is a licensed Professional Engineer, Professor of Mechanical Engineering, Associate Dean of Graduate Studies in the College of Engineering at RIT.
Dr. Hensel's research is focused on computational methods in engineering, with a special emphasis on large scale scientific simulation across a wide range of computing platforms ranging from desktops to vector supercomputers and massively parallel distributed systems with multiple sensor sources subject to inaccuracies and inconsistencies. Dr. Hensel applied his expertise in large-scale noisy experimental data sets to develop the Topography Analysis Program (TAP) which automated accurate puff detection and embedded statistical testing algorithms to speed up the differential assessment of topography characteristics. In addition, Dr. Hensel’s hardware and software expertise has been integral to developing an advanced control systems capable of reproducing natural use topography waveforms with the programmable emissions system (PES); such systems are not commercially available. The TAP program was used to analyze experimental data collected with RIT’s wPUM topography and personal use monitor for three observational studies ranging in duration from 24 hours to two weeks, with cohort sizes of 35 participants, including a project to measure topography of e-cigs in the natural environment with wPUM monitor and a project to observe e-cig use characteristics of flavored liquids.