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Areas Steven Streetman is Knowledgeable in:
risk assessment, sensor integration, CBRN, terrorism, data specifications and analysis, real estate, seed testing, stock selection, data collection and structuring
Techniques Steven Streetman Uses:
probabilistic risk assessment, DODAF design and documentation, monte carlo sampling methods, stochastic simulation, game theory, multi-attribute utility theory, functional decomposition, subject matter expert elicitation methods (including Delphi method and NUREG 1150), optimization methods, sensitivity analysis, uncertainty analysis, genetic algorithms
Steven Streetman's Problem Solving Skills:
- sensor integration
- modelling and simulation
- data fusion
- data standards and interoperability
- risk analysis and risk management
- analysis of codes and ciphers
- weapons of mass destruction / chemical, biological, nuclear and radiological agents
- seed testing analysis
- stock and bond analysis
- cryptocurrency
- commercial real estate
Steven Streetman's Problem Solving Experience:
- I developed and executed complex terrorism risk analysis methodologies using a variety of models and methods.
- I developed a patented method for integration of generic sensor types and implemented the method in several operational sensor monitoring systems
- I developed private, national, and international standards for sensor data interoperability.
- I developed test analysis systems for seed crops and proposed use of drones in monitoring test crops
- I assisted with applying natural language processing and artificial intelligence techniques in selecting stocks and bonds