Kno.e.sis collaborations/projects with AFRL-HE


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Outline of projects supported by or in collaborations with AFRL's 711 Human Performance Wing

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  • How does computing serve human needs? Knowledge is the enabler…KNOWLEDGE IS THE ENABLER FOR COMPUTING TO SERVE HUMAN NEEDS AND IMPROVE HUMAN EXPERIENCE.
  • Cognitive model, cognitive behavioral model
  • Kno.e.sis collaborations/projects with AFRL-HE

    1. 1. Kno.e.sis’ collaborations/projects with AFRL<br />Amit ShethLexisNexis Ohio Eminent Scholar; Director, Kno.e.sis Center<br />
    2. 2. A Vision for Basic & Fundamental Research <br />Sample Current Research in Collaboration with/funded by AFRL<br />
    3. 3. “..Integrate biological and cognitive technologies to optimize and protect the Airman's capabilities to Fly, Fight, and Win in Air, Space, and Cyberspace.”<br />If one hopes to achieve a full understanding of a system as complicated as a nervous system, a developing embryo, a set of metabolic pathways, a bottle of gas, or even a large computer program, then one must be prepared to contemplate different kinds of explanation at different levels of description that are linked, at least in principle, into a cohesive whole, even if linking the levels in complete detail is impractical. (Marr 1982, p. 20).<br />
    4. 4. Data and Facts<br />Human Performance<br />Knowledge and Understanding<br />Health & Performance<br />Cognitive Science, Psychology<br />Neuroscience<br />Anatomy, Physiology<br />ACATATGGGTACTATTTACTATTCATGGGTACTATTTATGGCATATGGCGTACTATTCTAATCCTATATCCGTCTAATCTATTTACTATTATCTATTACTATACCTTTTGGGGAAAAAAATTCTATACCGTCTAATCCTATAAATCAAGCCG<br />Cellular biology<br />Molecular Biology<br />Biochemistry<br />Comp Sc & Engg<br />Human CC<br />
    5. 5. Human<br />…to improve the understanding of fundamental cognitive processes required for human performance in virtual Environments.<br />… to develop and demonstrate interface technologies that revolutionize human-human and human-machine collaboration<br />Collaborative visualization<br />OntologiesDomain Models<br />MetabolomicsToxicology<br />… decision support/adaptive automation to maximize an operator’s information processing and decision effectiveness<br />Data annotationScientific workflow<br />create and deliver relevant biotechnology & nanotechnology solutions for the battlefield <br />airmen and the integrated joint services mission.<br />Molecular modeling<br />Knowledge driven search/browsing<br />Biomolecular<br />
    6. 6. Metabolomics: Exposure to Toxic Agents<br />Determine whether exposure has occurred<br />Including low-dose exposure<br />Predict downstream outcome<br />Organ/system toxicity vs. recovery<br />Using easily deployable tests<br />Blood, urine, etc.<br /><ul><li>Dr. Michael Raymer, CSE. WSU
    7. 7. Dr. Nick Reo, Boonshoft School of Medicine, WSU
    8. 8. Dr. Nick DelRaso,711 Human Effectiveness Wing, USAF</li></li></ul><li>Image registration and mosaicking<br />ArdyGoshtasby: Intelligent Systems Labs Lab <br />Image mosaic<br />Six-camera images<br />Funded by AFRL<br />
    9. 9. Ontology supported Knowledge Discovery in the field of Human Performance and Cognition <br />WSU: C. Thomas, P. Mendes, D. Cameron, A. Sheth, TK PrasadThanks: C. Ramakrishnan<br />AFRL: V. Chan (Dr. Schlager)<br />
    10. 10. Ontology supported Knowledge Discovery in Human Performance and Cognition <br />Enable exploration, analysis, and integration of available knowledge, to discover and synthesize new knowledge using Semantic Web Technologies<br />Domain model generation from public, up-to-date resources such as Medline and Wikipedia<br />Identification of entities and relationships in Pubmed (and mapping them to ontology)<br />Magnesium -> isa -> Calcium Channel Blocker -> prevents -> Migraine<br />Knowledge Discovery enabled by text extraction, ontology-based formalization, and graph-based search<br />Semantic Browsing mediated by extracted knowledge<br />
    11. 11. Increased Human Performance using Collaborative Visualization<br />Collaborative visualization environment:<br /><ul><li>Visualization environment enhanced with several input feeds including video streams (video conference, UAV, …)
    12. 12. Utilization of 3D audio in correspondence with input feed
    13. 13. Different visualization systems connected via network
    14. 14. Content exchangeable by participants via dragging/shoving over</li></ul>Visualization of:<br /><ul><li>Medical data
    15. 15. Training scenarios
    16. 16. Surveillance data
    17. 17. Textual data (transcribed audio, intelligence databases, …)</li></ul>Increased human performance:<br /><ul><li>Highly interactive system
    18. 18. Intuitive exchange of information among participants
    19. 19. Assistance in decision making</li></ul>Key Personnel:Thomas Wischgoll (WSU), Brian Simpson (711 HPW/RHCB), Robert Gilkey (WSU)<br />
    20. 20. Other relevant projects (partial list)<br /><ul><li>Semantics and Services enabled Problem Solving Environment for Tcruzi: services computing, data/text mining, knowledge discovery [UGA, Stanford, CCHMC]
    21. 21. MIDAS: Medical Information in Disasters Access and Analysis System [UCI]
    22. 22. Situational Awareness:
    23. 23. Trust in Sensor Web & Semantic Sensor Web
    24. 24. Citizen Sensors – human-in-the-loop sensing combined with machine sensing
    25. 25. Sense Making – understanding and improving discourse on Social Media [Cognitive Sc., IBM, Microsoft]
    26. 26. Cloud computing – interoperablility [IBM] </li></li></ul><li><br />