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Profiles
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Michael T. Johnson, Ph.D.
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Dr. Johnson is an Assistant
Professor at Marquette. His current research interests
include speech recognition, signal processing, natural
language processing, machine learning, and bioacoustics.
Courses he has taught recently include Digital Signal
Processing, Speech Processing, Adaptive and Optimal
Signal Processing, Information Theory, and Computer
Hardware. Dr. Johnson holds a Ph.D. from Purdue University
in the area of Electrical and Computer Engineering,
as well as a Master's degree in Electrical Engineering
and Bachelor's degrees in Computer Science Engineering
and Electrical Engineering. His Ph.D. research at
Purdue focused on utilizing language models and prosody
to improve speech recognition accuracy. In addition,
he has significant engineering experience in industry
in hardware design as well as engineering management. |
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Richard J. Povinelli, Ph.D.
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Dr. Povinelli owns a bachelor of science
degree in electrical engineering as well as a bachelor
of arts in psychology. He also holds a master of science
in computer systems and engineering and a Ph.D. in
electrical and computer engineering. His industrial
experience comes primarily from GE Medical Systems,
where he was a global project leader. At Marquette
he has taught classes on topics such as computer hardware
and software, as well as time series data mining and
artificial intelligence among others. His research
interests include time series data mining, computational
intelligence, financial engineering, evolutionary
algorithms, and more. |
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Lilia Brown
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Lilia is an undergraduate student
in the Electrical and Computer Enginineering program
at Marquette and has been with the project since May
of 2004. |
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Justin Evert
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Justin is an undergraduate student
in the Electrical and Computer Enginineering program
at Marquette and has been with the project since May
of 2004. |
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Tim Stolldorf
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Tim is an undergraduate student
in the Computer Enginineering program
at Marquette and has been with the project since May
of 2004. |
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Paul Hoffmann
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Paul received his Bachelor of Science in computer
engineering in 2003 from Marquette University. He
was an undergraduate student on the project from May
2002 through July 2004. He is currently pursuing graduate
studies in the Intelligent Systems Program at the
University of Pittsburgh. |
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Kevin Indrebo
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Kevin received his Bachelor of Science in computer
engineering (2002) from Marquette University with a
minor in mathematics. He has participated in research
as both an undergraduate and graduate student in speech
recognition here at Marquette and is currently working
toward his Master of Science degree in electrical and
computer engineering. His research interests include
speech recognition and understanding, artificial intelligence,
machine learning, and nonlinear signal processing. |
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Andrew Lindgren
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Andrew received his bachelor of science in applied
physics (2001) with high honors from DePaul University.
He has conducted research at Argonne National Laboratory
in non-destructive evaluation techniques for industrial
ceramics from 1999 to 2001, and has also carried out
research in the area of condensed matter physics which
involved modeling magnetic reversal properties on ultra-thin
films. His current research interests include speech
recognition and enhancement, artificial intelligence
and pattern recognition, and nonlinear dynamics and
chaos theory. |
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Xiaolin Liu
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Xiaolin received a bachelor degree in electronics
from Northwestern Polytechnical University (NPU) in
Xi'an China in 1994, and later received a masters
degree in the area of communication and electronic
systems. Additionally he owns a masters degree in
communication from Nanyang Technological University
in Singapore in 2000. Before joining Marquette University,
he was a senior engineer working with Kent Ridge Digital
Labs in Singapore on digital audio broadcasting and
networking related projects. He is currently working
torwards his Ph.D. His research interests include
signal processing, applying nonlinear analysis methods
to speech processing, time series analysis and modeling,
data mining, pattern recognition, etc. |
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Felice Roberts
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Felice owns a bachelor of science degree
in electrical engineering and computer science, as
well as a master of science degree in electrical engineering.
Right now Felice is working towards her Ph.D. in electrical
engineering at Marquette. Her current research interest
is in nonlinear data mining for biomedical applications. |
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Sarah Schmit
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Sarah is an undergraduate student in
the Computer Engineering program at Marquette and
has been with the project since September of 2003. |
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Jinjin Ye
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Jinjin received a bachelor of science
degree in Electrical Engineering, and is now a masters
student at Marquette. Currently, his research interestes
include Signal Processing, Speech Recognition, and
Machine Learning. |
