Computational Sciences and Engineering Division Mountains
CSE Home:   Staff:   Hively

Dr. Lee M. Hively 		Dr. Lee M. Hively
 
ORNL/Computational Sciences and Engineering Division
One Bethel Valley Road, PO Box 2008
Bldg. 6011, MS-6418
Oak Ridge, TN 37831
865-574-7188
Fax 865-576-5943
hivelylm@ornl.gov
 
Lee M. Hively received B.S. degrees in engineering science and mathematics, and a B.A. degree in general arts and sciences in 1970 from the Pennsylvania State University; an M.S. degree in physics in 1971 from University of Illinois (Urbana); and a Ph.D. degree in nuclear engineering (link to PhD thesis) in 1980 from University of Illinois (Urbana).
 
From 1971 to 1974, he was a research staff member at the Western Electric Company's Engineering Research Center (Princeton, New Jersey), where his research interests were non-contact inspection of millimeter waveguide and general relativity.
 
From 1980 to 1984, he was employed by General Electric Company under subcontract to the Fusion Engineering Research Center at Oak Ridge National Laboratory (ORNL). His research interests included: energetic alpha particle thermalization and losses in tokamak fusion reactors with toroidal field ripple, optimization of toroidal bundle divertors, plasma performance simulation, and electromagnetic railgun launchers.
 

Dr. Hively has worked at ORNL since 1984, and is a member of the Senior Research Staff. His work has included: health and safety research, fusion research program management as a detailee at U.S. Department of Energy Headquarters (Germantown), fusion product physics, and criticality safety and nuclear shielding for nuclear transportation packages. His present research focuses on nonlinear analysis of time serial data for condition change in biomedical and process data. Biomedical examples include:

  • forewarning of epileptic seizures from scalp brain waves (SeizAlert)
  • forewarning of heart attacks from surface heart waves
  • forewarning of fainting (syncope) from surface heart waves
  • detection of sepsis from surface heart waves
  • detection of breathing difficulty from surface chest sounds
  • diagnosis of Alzheimer's disease from scalp brain waves
  • forewarning of atrial fibrillations from surface heart waves
  • objective measures for patient-weaning from a ventilator
  • automated sleep staging from polysomnogram data
Machine applications include:
  • failure forewarning in motors and motor-driven components
  • detection of machine-tool wear and machine-tool chatter
  • improved data-driven measures of condition change
  • forewarning of pump-seal failure in a water-jet-cutting machine
  • forewarning of failure in a diesel-powered generator
  • intrusion detection from anomalies in network data
New initiatives include:
  • new paradigm for knowledge discovery
  • new paradigm for scalable, secure information infrastructure
  • weigh-in-motion error reduction via vehicle-oscillation filtering
His work has resulted in ten U.S. patents and three patents pending.

 

 

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Last revised: Wednesday, 30-Dec-2009 12:33:03 EST