معرفی
Dr. Jont B. Allen is a Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), affiliated with the College of Engineering. He holds a PhD from the University of Pennsylvania (1970) and has had a distinguished career spanning 32 years at Bell Labs/AT&T Labs before joining UIUC in 2003. His research focuses on cochlear modeling, speech perception, audiology, and signal processing. He has authored over 50 sole-authored journal articles and holds 20+ US patents in hearing aid technology and diagnostics.
Education:
- PhD, Electrical Engineering, University of Pennsylvania, 1970
- MS, Electrical Engineering, University of Pennsylvania, 1968
- BS, Electrical Engineering, University of Illinois Urbana-Champaign, 1966
Research Interests: Dr. Allen’s work bridges engineering and biology, emphasizing understanding human speech recognition mechanisms, cochlear function, and improving hearing aid signal processing. His projects include noninvasive diagnostic methods for middle ear disorders, speech perception in noise, and the link between hearing deficits and reading disabilities in children.
Publications & Awards: He has published extensively on auditory models, signal processing, and clinical audiology. Notable awards include IEEE Fellow (2009), Phonak Faculty Award (2007/2008), and the IEEE Third Millennium Award (2000). He has also contributed to major conferences like ICASSP and editorial boards.
Teaching & Mentoring: Dr. Allen teaches courses on mathematical physics, speech processing, and audio engineering. He oversees a productive research group at UIUC, mentoring students in projects like consonant perception analysis, middle ear modeling, and hearing aid algorithm development. His group has collected large speech perception datasets, leading to impactful publications and collaborations with institutions like Columbia University and the University of Calgary.
Labs & Collaborations: His work leverages interdisciplinary tools, including acoustic reflectance measurements, DPOAE analysis, and computational models of the auditory system. Key collaborations include projects with the Beckman Institute, the Speech and Hearing Science Department at UIUC, and industry partners like Mimosa Acoustics.
