Partial Project Summary
History
Project descriptions
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Technologies and skills
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Signal/Image Processing and
Pattern Recognition
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Tank image recognition from satellites
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3-D stereoscopic extraction algorithms
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Submarine signature recognition from acoustic underwater
phased arrays
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Expert Bayesian system, parameter tuning, phased array
signal processing correlogram
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Stock market statistical arbitrage
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Creating models based on financial fluid flow dynamics and
correlations of stock prices. Forecasting (Tuck).
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Credit card fraud pattern recognition.
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Spending pattern irregularities alerts
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Sound triangulation/sniper system
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Asymmetric phased arrays and reflection calibration algorithms
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Biometric recognition systems
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Face, finger print, retinal, voice and infra-red vascular
recognition
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Feature extraction, registration algorithms, noise
removal, large dataset management. Eigenvectors, wavelets, 3-D convolutions,
cluster analysis.
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Eye gaze tracker
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Real time image processing. Head rotation modeling.
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Truth detection systems
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Automating polygraph parameter sensors and voice stress.
Emotional context modeling through vocabulary templates.
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Gesture recognition
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Hand gestures conversion to computer commands
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Brain Print Recognition
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Utilizing many samples, human brains have a unique MEG/EEG
brain “hum” and cluster analysis can be done to recognize mental illnesses
and uniqueness of individuals. (Lockheed Martin is doing research on
recognition of precognitive signals of objects. Berkley also just released a paper showing
how to discriminate between 1024 visual objects.)
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Supercomputing Applications
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Various projects including FFT optimization
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Vector Pipeline, BBN Butterfly, Hypercube, Viking Boards
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Artificial life simulations, gas lattices
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Specialized Hardware, genetic and evolutionary algorithms.
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Grid computing
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BEA and Oracle distributed grid computing
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Computer generated holography
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3-D spatial FFT on BBN’s connection machine. C-paris
parallel programming language. Fortran 77.
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Speech Recognition/Identification
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Voice recognition/identification
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BBN Hark’s system.Markov modeling, n-grams, context
probability models, speaker independent models
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Models of discourse and planning
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Studied under world renown Barbara Grosz, graduate school adviser
Harvard
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Natural Language parsing and AI knowledge networks
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CIA project. Focused on pronoun reference
algorithms.
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Biomedical Projects
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Soldier 2000 project
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Connecting vital sensors to a wireless bodyLan . DARPA.
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Robotic Surgery in Medicine for the Army
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Haptic feedback, latency time compensation, tremor filtering, object touch recognition
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Virtual Reality in Medicine
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Overlays of fMRI scans onto patient for real time surgical
applications
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Virtual Reality 3-D Reconstruction Teleconferencing
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Carnegie
Mellon University.
3-D reconstruction of objects in the teleconference room.
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EEG controlled robots
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Relatively simplistic mental state recognition to control
direction of robot. Discriminant function analysis.
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Neural network controller for “INFANT” robot
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Designing robot controllers to learn to grasp objects that
mimic human babies. Mentor:
Dr. Kuperstein (MIT)
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Retraining the brain to interpret tactile feedback as
visual information
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Brail interfacing also used by Navy for Sonar feedback on
tongue tactile vision systems.
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Research / simulations in cybernetic hive mind work groups
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(BBN) Increasing the hypothetical efficiency of integrated
rapid communication technologies.
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Neural network control system for leg muscle stimulation
to make paralyzed people walk again
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Engineering of extoskeleton. Control systems for
non-linear biological models due to muscle fatigue.
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Digital circuit / systems design
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Cascadable digital neural network chip
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VLSI design, production, testing
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Wearable ubiquitous computing systems
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Enhanced reality, enhanced cognition. Heads up display
borrowed from NASA for entrepreneurial venture.
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