2022 Upcoming Presenters
Virtual Meeting
IEEE Denver Computer, Information Theory, and Robotics Society
– Technical Meeting
8 September 2022 @ 6:00 PM – 7:00 PM MDT
Denver IEEE Computer Society Guest Lecturer
Mr. Chandler Bauder
- Denver IEEE Computer Society Guest Lecturer
- Phd Student, Department of Electrical Engineering, University of Tennessee
- Graduate Research Assistant
Chandler J. Bauder is a graduate student currently pursuing his Ph.D. in electrical engineering at the University of Tennessee, Knoxville TN. Chandler Bauder also received the B.S. degree (summa cum laude) in electrical engineering from the University of Tennessee. During Mr. Bauder’s undergraduate work he was a part of the Chancellor’s Honors Program at the University of Tennessee Knoxville. In 2017, Mr. Bauder was awarded the Gonzalez Family Award for Outstanding EE Junior. In 2018, Mr. Bauder has also been awarded the Chancellor’s Award for Extraordinary Academic Achievement, in 2019 and 2020 the Chancellor’s Award for Extraordinary Professional Promise. Mr. Bauder has been working as a Graduate Research Assistant in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville, since 2018. There Mr. Bauder has worked on various projects involving ground penetrating radar, microstrip filter design, radar and camera signal processing for vital sign detection, and multi-factor breakdown simulation of RF components. In May 2021, Mr. Bauder began working as an intern at the U.S. Naval Research Laboratory Radar Division’s Advanced Concepts Group on a project involving microwave power beaming. Mr. Bauder is also a proud Graduate Student Member within the IEEE.
Abstract: Extracting accurate heart rate estimates of human subjects from a distance in high-noise scenarios using radar is a common problem. Often, frequency components from sources such as movement and vital signs from other subjects can overpower the weak reflected signal of the heart. In this study, we propose a signal-processing scheme using an Adaptive Multi-Trace Carving algorithm (AMTC) to accurately detect the heart rate signal over time in non-ideal scenarios using a mm-wave radar. In our initial proof-of-concept results, we show a low heart rate estimation mean absolute error (MAE) of 3 bpm for a single subject marching in place and less than 4.5 bpm for a scenario of two human subjects at the same distance from the radar.
Virtual Meeting
IEEE Denver Computer, Information Theory, and Robotics Society
– Technical Meeting
13 October 2022 @ 6:00 PM – 7:00 PM MDT
Denver IEEE Computer Society Guest Lecturer
Dr. Stephan Gerali
- Denver IEEE Computer Society Guest Lecturer
- Chief Software Architect and Engineer
- Lockheed Martin Fellow
Dr. Stephan Gerali has his B.S., M.S. and Ph.D. in Computer Science from the University of Colorado and his MBA from Colorado State University, and is certified in Java, BEA WebLogic, Six Sigma and Secure Software Engineering. Dr. Gerali is a Lockheed Martin Fellow specializing in Software Architecture / Software Engineering with more than 24 years of experience working on large-scale distributed systems. Currently the Chief Architect for Space IT, Dr. Gerali supports solutions across the entire Space business area.
Within Lockheed Martin, Dr. Gerali has supported IS&GS (Information Systems & Global Solutions) in Army (All Source Analysis System and Future Combat System), USSTRATCOM (Strategic Threat Analysis Reporting System) and Air Force (Single Integrated Space Picture) command and control systems, and within EIT (Enterprise IT) has supported LMPeople, LMCareers, Performance Based Logistics, University Relations Recruiter’s Network, Center for Leadership Excellence, Non-Employee Access Tracking, Infrastructure Health Management, Event Correlation & Analysis, Enterprise Data Warehouse / Business Intelligence and Digital Tapestry.
Abstract: TBA