David V Anderson

David V. Anderson is a Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology's College of Engineering. He holds appointments in the Bioengineering, Computer Engineering, and Machine Learning research focus areas, with technical interests spanning Digital Signal Processing, Bio-Devices, and Low-Power Integrated Circuits.

Dr. Anderson earned his B.S. and M.S. from Brigham Young University and his Ph.D. from Georgia Tech in 1993, 1994, and 1999 respectively. His research focuses on audio and psycho-acoustics, machine learning for human auditory characteristics, and real-time signal processing applications. Key projects include the development of digital hearing aid algorithms that became commercial products, ultra-low power signal processing systems, and bio-inspired signal processing architectures.

His recent publications (2022-2024) demonstrate a strong focus on tensor methods for robust data analysis, lightweight neural networks for audio classification, and real-time audio processing systems. Research trends show increasing integration of machine learning with traditional signal processing techniques, particularly for hearing assistance applications and hyperspectral data analysis.

• National Science Foundation CAREER Award (2004)
• Presidential Early Career Award for Scientists and Engineers (2004)

As a Senior Member of IEEE and member of the Acoustical Society of America and Tau Beta Pi, Dr. Anderson has secured significant research funding resulting in over 150 technical publications and 8 patents/patents pending. His work bridges theoretical signal processing with practical applications in hearing assistance and low-power systems. He has been actively involved in computer-enhanced education initiatives and development of real-time audio processing frameworks like Audiosockets.