Embedded Files
Dr. Sam Siewert - ESE Program, Computer Engineering
Dr. Sam Siewert - ESE Program, Computer Engineering
Associate Professor Adjunct, Embedded Systems Engineering Program
Department of Electrical, Computer, and Energy Engineering [My Current Vita, Bio, Google Scholar]
University of Colorado Boulder
Campus Box 425, Boulder, CO 80309-0425 (Campus Map)
E-mail: siewerts@colorado.edu, Alternate E-mail: siewerts@ieee.org, Office Hours: Tues/Thurs 9:00-10:00am MDT on My ZOOM
Affiliations: Professor - California State University
Resources: MyCUInfo, CU Coursera GitHub, ESE GitHub, SA ZOOM, Library OneSearch, Coursera Degrees, CU Pro-Ready, Academic Calendar
Embedded Systems Engineering Program - Summer Teaching
ECEN 5623 - Taught in Summer 2025 in ESE Program.
Related Papers & Courses: IEEE DASC 2022 - Parallel Mission Critical RT Systems, ASEE 2022 - RTES paper (presentation), AAS 2017 - RT Space Systems, Coursera - RTES Specialization.
ECEN 5763 - Taught in Summer 2025 in ESE Program.
Example Student Project Videos: Recent AV/ADAS "Self-Driving Car" Challenge Video and Deep Archive
Elephants, Rhinos, and People (Current)
Elephants, Rhinos, and People (Current)
Research Focus: Current work with Cornell U. sensor data to apply machine learning methods to acoustic data (infra-sound + audible). Past work with the CSU Farm and ERP in S. Africa to detect, track, and monitor large animals in large spaces with sensor fusion (geophone, infrasound, imaging, vibration, and audible acoustic). General goals are to help keep people out of conflict with elephants and to prevent poaching. In north America, goals are to monitor free range cattle and interactions with wildlife (wild horses, elk, wolves, and pronghorn) and to prevent poaching.
Publications: Video, SPIE 2025: presentation & paper, SPIE 2024: presentation & paper, AIAA SciTech 2023 presentation & paper, SciTech 2022 - presentation & paper.
Drone Net (2016 - 2020)
Drone Net (2016 - 2020)
Research focus: Completed project, active 2016-2020, with goal to use sensor fusion for UAS/UAV operations in urban areas and in controlled airspace to improve situational awareness for safety and security. Drone Net research was completed by the ICARUS group.
Selected Publications: AIAA SciTech - 2020 paper & presentation, 2019 paper & presentation; IEEE Aerospace - 2021 paper & presentation, 2018 paper & presentation; AUVSI 2018 - paper.
Multi-spectral Imaging - Arctic Domain (2014-2016)
Multi-spectral Imaging - Arctic Domain (2014-2016)
Research focus: Machine learning and sensor fusion methods for low-cost software defined multi-spectral imaging systems for Arctic Domain use, working with ADAC at U. of Alaska.
Selected Publications: AIAA SciTech - 2017 paper & presentation; SPIE - 2016 paper & presentation, 2014 paper & presentation; IEEE Alaska Section - presentation.
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