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Mohamad Musavi |
Dr.
Mohamad Musavi is a professor of Electrical and Computer Engineering
at the University of Maine. Since 1983, Dr. Musavi has been involved
in teaching, research and development in the areas of neural networks,
computer vision and robotics. His interests are in the development
of intelligent systems for industrial and scientific applications.
He has collaborated with many industries and government agencies including
National Semiconductor, Northrop Grumman Corporation, Argonne National
Laboratory, Sappi Fine Paper, Champion International, Rome Laboratory,
The Jackson Laboratory, Armstrong World Industries, Fairchild Semiconductor,
James W. Sewall Company, Digital Equipment Corporation, General Electric,
and Dexter Shoe Company. Some
of his current research projects are: 1) an intelligent base caller
for DNA sequencing, 2) Axon - integrated neurofuzzy software, 3) neurofuzzy
control of semiconductor manufacturing processes, 4) automatic feature
extraction from imaging data, 5) classification of chromosomes using
artificial neural networks, 6) extraction of drainage networks from
digital elevation data, 7) registration of satellite images by neural
networks, 8) intelligent control systems for the pulp and paper industry,
and 9) development of intelligent system expertise in Maine.
Phone: (207) 581-2243 FAX: (207) 581-4531
Email: musavi@eece.maine.edu
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John Hwalek |
Dr.
John Hwalek is an associate professor in Chemical Engineering at the
University of Maine. Dr. Hwalek research interests include 1) heat
transfer processes in such applications as electronics cooling, materials
processing and automated machining, 2) natural convection in liquid
metal systems, and 3) integration of process and product information
for statistical quality control and real time profitability analysis.
Phone: (207) 581-2302 FAX: (207) 581-2323
Email:
hwalek@maine.maine.edu
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James Patton |
Dr.
James Patton is an associate professor and chair of Electrical and
Computer Engineering at the University of Maine. Dr. Patton has been
at UM since 1991. His primary interests are in the application of
intelligent systems methods to Power Systems. He is the founder and
Director of the University of Maine Electric Power Research Association
(PRA). Among other projects, Dr. Patton is currently working on an
NSF-ILI project devoted to developing a multimedia hydro-electric
power plant simulator. This simulator will be used to support instruction
in all three power systems undergraduate courses. The simulator is
being developed in Java. Several important tools were developed as
a result of this project: a Java-based multimedia authoring toolkit,
network management software allowing simultaneous simulator sessions,
interactive web-based short circuit and load flow analysis tools,
interactive exercises amenable to distance education applications,
and the capability to quickly develop interactive web-based power
system monitoring and control applications.
Phone: (207) 581-2244 FAX: (207) 581-4531
Email:
patton@eece.maine.edu
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Bruce Segee |
Dr.
Bruce Segee is an associate professor in Computer and Electrical Engineering
at the University of Maine. Dr. Segee's research and development activities
include computer architecture, interfacing, control, and communication.
This research includes NSF sponsored research in the fields of artificial
neural networks and fuzzy logic, as well as industrially sponsored
development activities involving instrumentation and control. Numerous
projects undertaken include: 1) the development of assistive technology
devices for children with disabilities, 2) power-line communication
networks for sawmill instrumentation, 3) calibration of gas sensors
using neural networks, and 4) the development and installation of
a large-scale material handling system utilizing networks of PLCs
and PC for several Dexter Shoe Co. factories. Current projects include
the development of a Windows-based automated system for a sawmill
and the installation of computer vision in another sawmill.
Phone: (207) 581-2212 FAX: (207) 581-4531
Email:
segee@eece.maine.edu
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Hemant Pendse
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Dr.
Hemant Pendse is a professor in Chemical Engineering at the University
of Maine. Dr. Pendse's research interests includes: 1) physico-chemical
hydrodynamics of concentrated colloidal dispersions, 2) the role of
colloid and surface chemistry in papermaking unit operations, 3) the
application of advanced sensors, artificial neural networks, fuzzy
logic, and expert systems to various control opportunities in chemical
process industries, and 4) the development of on-line laboratory sensor
systems for characterization of industrial suspensions, emulsions,
and aerosols.
Phone: (207) 581-2302 FAX: (207) 581-2323
Email:
pendse@maine.maine.edu
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Habtom Ressom
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Dr.
Habtom Ressom is an assistant professor in Electrical and Computer
Engineering at the University of Maine. Dr. Ressom's research interests
focus primarily on the exploration of artificial neural networks,
fuzzy logic, and genetic algorithms for virtual sensing, data classification,
dynamic system modeling, and process control. Prior to joining the
University of Maine, he collaborated with several industries and research
organizations in Germany. He successfully completed industrial projects
with Freudenberg Nonwovens Group and IBM Storage Division. He was
also in charge of developing an engineering tool for the design and
optimization of knowledge-based control schemes. As a part of this
tool, he developed software for neural network-based system identification.
The software involves internally recurrent neural networks and can
be used for modeling complex dynamic systems. Current research activities
include 1) neuro-fuzzy control of semiconductor manufacturing processes,
2) application of computational intelligence in gene expression data analysis, and
3) neural network-based estimation of chlorophyll-a concentration in coastal waters.
Phone: (207) 581-2231 FAX: (207) 581-4531
Email:
ressom@eece.maine.edu
Research Personnel
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