Signal Processing and Machine Learning with Intelligent Applications
In a world full of rapid technological advancements, primarily due to the information technology (IT) sector, Signal Processing (SP) is integral. Defined as the manipulations and modifications of message-conveying mediums such as sounds, images, videos, and electromagnetic waves to extract useful and usable information, it has a solidified and well-established mathematical foundation underneath. SP also serves as an invaluable foundation to Machine Learning (ML), an increasingly demanding and ubiquitous topic. SP and ML often go together to produce intelligent and
autonomous systems.
This presentation will cover the importance of signal processing in the IT section, applications, future prospects as well as what you need to succeed in the subfield of electrical engineering. It will also cover how classical implementation of SP or DSP can be vastly improved by complementing it with ML modules.
Date and Time
Location
Hosts
Registration
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- 1331 Palo Verde Avenue
- Electrical Engineering Department
- Long Beach, California
- United States 90840
- Room Number: VEC325
- Starts 29 February 2024 09:07 PM UTC
- Ends 04 March 2024 08:00 AM UTC
- No Admission Charge
Speakers
Mr. Samnangdona An
Biography:
Mr. Samnangdona An is currently working as a DSP and ML engineer at Shure Inc, focusing on the
development of audio quality of conferencing devices. He is a CSULB alumni, having earned Bachelor of Science and
Master of Science, both in Electrical Engineering with emphasis on DSP and Communication Systems. He received an
award for being at the top 1% of Dean’s List for High Scholastic achievement in 2021.
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