Meet the Team
Current team members meet to test and review design
changes. From left to right they include Matt Elliott, Theban Stanley,
and Karolina Sarnowska.
Theban Stanley is a graduate student majoring in
electrical and computer engineering. His research interests
include spoken language dialog and natural language processing. He
is pursuing his master's thesis with a research emphasis in the
area of statistical parsing. He has also participated in the
redesign of the Communicator software infrastructure and the
integration of utterance detection in our prototype.
Matt Elliott is an undergraduate student majoring
in computer science and engineering. His research and development
interests include software engineering, programming languages,
natural language processing, and GUI programming. He has played a
leading role in the redesign of the Communicator software
infrastructure, GUI development, overall system and unit testing,
and significant refinements to our NLP component.
Karolina Sarnowski is an undergraduate student,
double majoring in Computer Science and Engineering and
Mathematics. Her research and development interests include
statistical and probabalistic reasoning, machine learning, and
natural language processing. She has participated in the redesign
of the NLP component to include statistical parsing techniques as
well as GUI programming and testing for our prototype.
Dr. Joseph Picone
Dr. Picone's areas of research expertise include
automatic speech recognition, signal processing, and spoken
language dialog. He has over 25 years of experience in speech
recognition research and has led the development and distribution
of one of the world's leading recognition systems, participating in
state of the art evaluations of such technology. Dr. Picone has
directed the design and development of the ASR component of our
dialog system. He has also supervised the redesign of the
Communicator software infrastructure to support the code base
running on the MSU Engineering Research Center supercomputing
Dr. Julie Baca
Dr. Baca's research interests include
human-computer interaction, spoken language dialog, and universal
access. She has over a decade of experience designing and testing
accessible user interfaces for graphical, spoken language, and
multimodal applications. Dr. Baca has directed the design and
development of the NLP components of our dialog system. She has
also supervised all other user interface design, usability, and
human subject testing issues related to the project.
Hualin Gao earned a master's degree in Computer
Science and Engineering (2003) while working on the dialog system.
Gao contributed significantly to implementing and refining the
overall dialog system architecture as well as the design and
development of the NLP and database components.
Feng Zheng earned a master's degree in Electrical
and Computer Engineering (2003) while working on the dialog system.
His research emphasis in real-time recognition and speech in noisy
environments enabled him to contribute significantly to the ASR
component of the dialog system.