Partial Project Summary History

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