Main Menu
| Robert Angell, Chief Information & Technology Executive |
 |
 |
 |
|
Mr. Bob Angell is an Information Scientist (Informatician) with over 25 years of Systems Engineering & Integration, Project Management/Development and problem solving experience. An Informatician transforms, engineers and combines Business Process, Science and Information Systems to provide solutions to complex issues and problems. An Informatician understands data structures, algorithms, system behavior of natural, artificial or hybrid systems that access, store, process and communicate information. As a result, Bob has created, developed and implemented appropriate and customized solutions for many Enterprise Clients. Mr. Angell’s study and practice of Informatics ensures and mandates computational proficiency, Cognitive Science understanding and appropriate Societal impact when implementing Technology solutions. He is an Innovation Expert and Master Inventor with over 90 patents filed and has been a wise and trusted counselor, teacher and Intellectual Property advisor to over 25 individuals globally; helping them develop, capture and work with Intellectual Capital/Property over the last few years. Recent issued patents are as follows: 1. Incremental compliance environment, an enterprise-wide system for detecting fraud United States Patent 7,716,135Issued May 11, 2010Inventors: Bob Angell A dynamically determined data-driven model for detecting fraudulent behavior is provided. An initial model is developed using historical data, such as demographic, psychographic, transactional, and environmental data, using data-driven discovery techniques, such as data mining, and may be validated using additional statistical techniques. The noise within the data models determine appropriate initial control points needed for the initial model. These initial control points define an ‘electronic fence,’ wherein data points within the fence represent acceptable behavior and data points outside the fence represent unacceptable behavior. Updated data is received. A fraud detection mechanism validates the updated data using data mining and statistical methods. The data model, or ‘electronic fence,’ is refined based on the newly acquired data. The process of refining and updating the data models is iterated until a set of limits is achieved. When the data models reach a steady state, the models are treated as static models. 2. Detection of Unplanned Waste Stream Diversion Using RFIDs United States Patent 7,839,264Issued September 10, 2009Inventors: Bob Angell, James Kraemer Unplanned waste stream diversions are detected through the use of Radio Frequency Identification (RFID) tags. Input bulk material coming into the facility is laced with multiple RFID tags, which are suspended in a colloidal state in the input bulk material. Incoming RFID tags are counted, and then re-counted as they leave the facility, either as part of a known waste material stream or as part of a finished product. If the incoming and outgoing counts differ, then a conclusion is reached that some of the incoming RFID tags are within an unplanned waste stream diversion. 3. Using RFIDS to Detect Material Dilution United States Patent 7,791,482Issued September 10, 2010Inventors: Bob Angell, James Kraemer A material is laced with Radio Frequency Identification (RFID) tags at a known concentration of RFID tags per unit of material. Subsequently, if an interrogation of the RFID tags reveals a reduced concentration of RFID tags in the material, then a conclusion is drawn that the material has been diluted. 4. Environmentally sensitive electronic device United States Patent 7,843,317Issued November 30, 2010Inventors: Bob Angell, James Kraemer An electronic device has at least one component that is coated with a material that is non-persistent if exposed to a specific environmental condition. If the coating is stripped off by the specific environmental condition, the previously coated component's function is altered, causing a functionality of the electronic device to be altered. 5. Tracking genetically modified organisms with RFIDs United States Patent 7,868,768Issued January 11, 2011Inventors: Bob Angell, James Kraemer A Genetically Modified Organism (GMO) is tracked using Radio Frequency Identification (RFID) tags. A bulk load of GMOs, which is intended for consumption by livestock only, is laced with RFID tags at or near a time of harvest. If the RFID tags appear in a product that is intended for human consumption, then the product is pulled from distribution, since it contains GMOs that are potentially harmful to humans if eaten. 6. Risk Assessment Between Aircrafts United States Patent 7870085Issued January 11, 2011Inventors: Bob Angell, Bob Friedlander, James Kraemer Risk assessment method for air travel involves generating an associated risk level score for the cohort located within the aircraft based on the inference data. 7. Risk Assessment in a Gate Area of an Airport United States Patent 7873586Issued January 18, 2011Inventors: Bob Angell, Bob Friedlander, James Kraemer A risk assessment method and system. The method includes receiving by an inference engine, first sensor cohort data associated with a first cohort located within a gate area of an airport. The inference engine receives first group technology inferences associated with the first cohort. The inference engine generates first risk cohort inferences based on the first group technology inferences and the first sensor cohort data. The inference engine receives first inference data comprising a first plurality of inferences associated with the first cohort. The inference engine generates second inference data comprising a second plurality of inferences associated with the first cohort. The second inference data is based on the first inference data and the first risk cohort inferences. The inference engine generates a first associated risk level score for the first cohort. The computing system stores the second inference data and the first associated risk level score. Bob is an accomplished Author, Writer and Blogger; has 60+ published works primarily for technology websites and magazines; is an Educator where he is currently a Computer Science Adjunct Faculty member and former Computer Science & Information Systems Faculty at a local college. Bob Angell is a Subject Matter Expert and has Specialties in the areas as follows: Medical, Chemical and Retail Informatics, Digital Video Surveillance, Dynamic Digital Media, Data Mining, Enterprise Systems Integration, Social Marketing/Media and Patent creation, development and processing. Online LinkedIn profile can be found here: [url]http://linkd.in/bmS7G8[/url] |