Jason Inman
Jason Inman is a first year PhD student at RIT. Jason previously graduated from the Electrical Engineering BS/MS program at RIT in 2014, and has worked on analog integrated circuits at Teledyne Imaging Sensors, Synaptics, Sony Electronics, AMS-Osram, and most recently AMD. He has designed many production worthy analog circuits and subsystems, including bandgap and current references, power-on-reset detectors, precision oscillators (in the range of 1-612MHz), LDOs, image sensors (from pixel to digital readout), and ADCs (1st order delta-sigma and single slope). He also has extensive lab debug experience gained from silicon bring-up and validation.
In addition to industry experience, Jason has worked part-time at RIT as a teaching assistant from 2012 to 2023. During this time, he taught hundreds of students how to use lab equipment such as oscilloscopes, arbitrary waveform generators, DC power supplies, and multimeters. He also devised ways to optimize the learning experiences for the students. During the years of online learning during the Covid pandemic, Jason revised the lab documents for EEEE-480 (Analog Electronics) and recorded several video lectures/tutorials for students to follow. With the course materials, and the Digilent Analog Discovery Module, students were able to complete all lab exercises from home while maintaining the desired learning outcomes normally obtained from in-person lab experiences. Links to all these videos are shared here: https://www.youtube.com/@jasoninman2323/playlists/. Additionally, Jason has recorded similar tutorials for the EEEE-510/610 and EEEE-726 classes, mentoring the students on how to use the Cadence Virtuoso design tools to design and simulate their circuits, such as amplifiers and data converters. Jason has also been a teaching assistant multiple times for the Circuits I and Digital Electronics courses.
Jason plans on pursuing novel research ideas in the realm of high efficiency power management, starting with optimizing voltage stacking techniques that remove the need for lossy power converter stages in high power systems that need low supply voltages (ex: CPU loads that require 1000’s of Amps of current at <1V supply voltages).
Jason Inman
Jason Inman is a first year PhD student at RIT. Jason previously graduated from the Electrical Engineering BS/MS program at RIT in 2014, and has worked on analog integrated circuits at Teledyne Imaging Sensors, Synaptics, Sony Electronics, AMS-Osram, and most recently AMD. He has designed many production worthy analog circuits and subsystems, including bandgap and current references, power-on-reset detectors, precision oscillators (in the range of 1-612MHz), LDOs, image sensors (from pixel to digital readout), and ADCs (1st order delta-sigma and single slope). He also has extensive lab debug experience gained from silicon bring-up and validation.
In addition to industry experience, Jason has worked part-time at RIT as a teaching assistant from 2012 to 2023. During this time, he taught hundreds of students how to use lab equipment such as oscilloscopes, arbitrary waveform generators, DC power supplies, and multimeters. He also devised ways to optimize the learning experiences for the students. During the years of online learning during the Covid pandemic, Jason revised the lab documents for EEEE-480 (Analog Electronics) and recorded several video lectures/tutorials for students to follow. With the course materials, and the Digilent Analog Discovery Module, students were able to complete all lab exercises from home while maintaining the desired learning outcomes normally obtained from in-person lab experiences. Links to all these videos are shared here: https://www.youtube.com/@jasoninman2323/playlists/. Additionally, Jason has recorded similar tutorials for the EEEE-510/610 and EEEE-726 classes, mentoring the students on how to use the Cadence Virtuoso design tools to design and simulate their circuits, such as amplifiers and data converters. Jason has also been a teaching assistant multiple times for the Circuits I and Digital Electronics courses.
Jason plans on pursuing novel research ideas in the realm of high efficiency power management, starting with optimizing voltage stacking techniques that remove the need for lossy power converter stages in high power systems that need low supply voltages (ex: CPU loads that require 1000’s of Amps of current at <1V supply voltages).