Biography

Dr. Howard's passion for science and technology began during his childhood. He pursued his interests in his studies and in 2000 while a graduate member of the Department of Mathematical Sciences at the University of Oxford, he proposed the Theory of Intention Awareness (IA). In 2002, he received a second doctoral degree in cognitive informatics and mathematics from the prestigious La Sorbonne in France. In 2007 he was awarded the habilitation a diriger des recherches (HDR) for his leading work on the Physics of Cognition (PoC) and its applications to complex medical, economical, and security equilibriums. His work has made a significant impact on the design of command and control systems as well as information exchange systems used at tactical, operational and strategic levels. As the creator of IA, Dr. Howard was able to develop operational systems for military and law enforcement projects. These utilize an intent-centric approach to inform decision-making and ensure secure information sharing.

His work has brought him into various academic and government projects of significant magnitude, which focus on science and the technological transfer to industry. While Dr. Howard's career formed in military scientific research, in 2002 he founded the Center for Advanced Defense Studies (CADS) a leading Washington, D.C, national security group. Currently, Dr. Howard serves as the Director of the Board. He also is a national security advisor to several U.S. Government organizations.

Dr. Howard's several years of working on systems design and dynamic systems analysis in military applications, as well as his personal research experiences, led him to studying the human brain.

In 2008, Dr. Howard founded the Mind Machine Project at MIT; an interdisciplinary initiative to reconcile natural intelligence with machine intelligence, which led to the establishment of the Brain Sciences Foundation (BSF) in 2011. That same year, he published the Mood State Indicators (MSI) algorithm which models and explains the mental processes involved in human speech and writing to predict emotional states.

His cognitive linguistic natural-language approach to systems understanding and design has led to great advancement in building more accurate engines for modeling behavioral and cognitive feedback. Due to this work, in 2012, Dr. Howard became the Director of the Synthetic Intelligence Lab at the Massachusetts Institute of Technology (MIT) where he focuses on the molecular basis for human intelligence. This could yield significant benefits and enable the progress in artificial intelligence and neuroscience as a whole.

As Dr. Howard has been directed towards the development of functional brain and neuron interfacing abilities, he concentrated on theoretical mathematical models to represent the exchange of information inside the human brain. This work, published in 2012, called the Fundamental Code Unit (FCU), has proven applicable in the diagnosis and study of brain disorders and has aided in developing and implementing necessary pharmacological and therapeutic tools for physicians. He has also developed individualized strategies to incorporate solutions for psychiatric and brain prosthetics. Through collaborative research efforts with MIT and Boston University, Dr. Howard has been working on interventions for early detection and novel treatment strategies for neurodegenerative diseases and affective disorders.

Contact

Massachusetts Institute of Technology
20 Ames Street, E15-411
Cambridge, MA 02139
USA

Email:
Phone: (617) 452-5541

Academia

Dr. Newton Howard is the director of the Synthetic Intelligence Lab and a resident scientist at the Massachusetts Institute of Technology (MIT). He is also a Professor in the Department of Anatomy and Neurobiology at Boston University School of Medicine. From 2008 to 2012 Dr. Howard was the Director of the Mind Machine Project at MIT. From 2002 to 2006 Dr. Howard was a professor of Psychiatry and Computer Science at The George Washington University. During his time at GW, Dr. Howard held multiple teaching and research positions, including Senior Research Professor at the Cyber Security Policy Research Institute and thesis advisor. He taught multiple courses and created a novel Washington D.C.-based graduate program in security and computing for the Rochester Institute of Technology. He directed graduate theses at the Center of Informatics Research at the University of Paris. He has held positions of Visiting Professor, Associate and Defense Diplomat in Europe; he is still an active member of several research laboratories worldwide, including Descartes Institute, and the Brain Physics Group.

Large-scale academic projects include an IARPA funded automated metaphor detection project called ADAMA (Autonomous Dynamic Analysis of Metaphor and Analogy). Dr. Howard is part of a collaborative team, including Illinois Institute of Technology, Massachusetts Institute of Technology and Georgetown University, working to better understand, define and automate detection of metaphors using a novel software program that works in 4 languages: English, Russian, Farsi, and Spanish

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Government

During his early career he was a member of the U.S. National Security Officers Community, serving in several operational posts. He is a National Security Advisor to several U.S. Government organizations. Newton has served on multiple U.S. Government Science Advisory Boards and was the Defense Diplomat Attache at Defense Offices. His work has garnered him several awards and honors, including a nomination to the White House Fellowship during the Clinton administration. In 2002 Dr. Howard founded the Center for Advanced Defense Studies (CADS) in Washington D.C., a non-profit national security organization dedicated to researching innovations for peace and conflict resolution. He is the former chairman and current Vice-Chairman and Chief Science Officer at CADS.

Additional government positions include:

  • Department of Homeland Security (DHS)
  • Department of Defense (DoD) (ORAU) (Expert)
  • Advisor to the National Security Expert Team (ORAU)
  • Scientific Advisor to Army Research Laborator (ARL-SLAD): Information Operations Survivability Scientist
  • Special Operations (SOCOM-SOTCE): Information Operations Scientist
  • Special Advisor to the Department of Defense (DoD): Strategic Intelligence Officer / US Defense Attache,
  • US Defense Attache Office, Paris, France

Business

Dr. Howard is an expert in identifying and securing investments for emerging technologies, his wealth of experiences in structuring and directing multinational large-scale projects, particularly those that require participation and buy-in at the level of the heads of state and local governments, is acknowledged in several international landmark projects. For example, Dr. Howard directed special multinational inter-governmental programs for Intel Corporation that spanned several continents. He was an early participant and architect in a unique blend of strategic investments and equity funds, including a multi-million European equity fund. He directed special projects for a strategic investment vehicle of the U.S. government focusing on technology needs of specialized communities. He is also a science advisor to several private investment vehicles totaling 20 billion dollars in assets and spanning 4 continents.

Oxantium Ventures (Managing Director)
  • $100m fund, early-stage start-up focus
  • Early stage investments in solar energy and infrastructure start-ups
  • Active management of portfolio of 8 early stage tech companies
Science advisory activities:
  • Intel Capital joint fund with SAGIA (100m fund Intel Capital, with focus on investments in MENA-based innovation)
  • Science advisor to large Middle-Eastern private equity holdings and sovereign funds (approx. $10b total funds size)
  • Intel Corporation, Government Programs Advisor, Co-founder of the Advanced XML Security Laboratory (AXSL)
  • Harris Corporation, Special Programs Advisor
  • Boeing Aircraft Inc., Co-founder the Intent-Centric Warfare Lab
Ford Motor Company (FMC) / SciLabs
  • Internet/Intranet Research and Development at FMC with Microsoft IE/NetMeeting research and development, White Pine Software Reflector Research Group
  • MIT Media Laboratory with the Ford Motor Company Virtual Co-Location research team
  • UK Product Development Group, Advanced Engineering Center (AEC), Project Leader for the Development of Web Applications, systems design and software engineering for Web-enabled applications
  • SHAPE / System Health and Preparation Environment (Health Charts for Quality, Ford Motors)
  • Virtual Education System (Web-enabled remote learning system developed in concert with other companies such as Intel and Executrain Corp.)

Publications, Patents & Venues


Textbooks and Monographs

Howard, N., Argamon, S. (Eds.) (2009). Computational Methods For Counterterrorism. Berlin: Springer-Verlag.

Howard, N. (2002) Theory of Intention Awareness in Tactical Military Intelligence: Reducing Un- certainty by Understanding the Cognitive Architecture of Intentions. Bloomington, Indiana: Author House First Books Library.

Howard, N. (2001) Seeking Peace in our Time: Global Defense System of Law. Bloomington, Indiana: Author House First Books Library.

Howard, N. (2001) The Challenges in Weapon Systems Design. Bloomington, Indiana: Author House First Books Library.

 

Journal Articles

Newman, Y., Assaf, D., Cohen, Y., Last, M., Argamon, S., Howard, N., Frieder, O. (2013). Metaphor Identification in Large Texts Corpora, In Press, Plos One.

Howard, N., Cambria, E. (2013). Development of a Diplomatic, Information, Military, Health, and Economic Effects Modeling System. In Press, International Journal of Privacy and Health Information Management 1(1), pp. 1-11

Howard, N., Cambria, E. (2013). Intention Awareness: Improving upon situation awareness in human-centric environments. In Press, Human-centric Computing and Information Sciences.

Cambria, E., Mazzocco, T., Hussain, A., Howard, N. (2013). Sentic Neurons: A biologically inspired cognitive architecture for affective common sense reasoning. In Press, Procedia Computer Science.

Cambria, E., Hussain, A., Howard, N. (2013) Sentic Blending: Scalable multimodal fusion for continuous interpretation of semantics and sentics. In Press, Machine Learning Journal.

Howard, N. (2013). The Case for Intention Awareness in Security Systems. In Press, Journal of Cyber-Security and Digital Forensics, 1(1).

Howard, N. & Singletary, B. (2013). Sensemaking in Symbiotic Joint-Cognitive Systems; Intention Awareness in Human-Machine Interaction. In Press, Cognitive Computation.

Howard, N. (2013). Identifying and Modeling Language, Brain and Perception: A Narrative Approach. In Press, Journal of Functional Neurology, Rehabilitation and Ergonomics, 2(4).

Howard, N., Leisman, G. (2013). DIME (Diplomatic Information Military and Economic Power) Effects Modeling System: Dual use in brain small-world connectography and rehabilitation. In Press, Journal of Functional Neurology, Rehabilitation and Ergonomics.

Cambria, E., Song, Y., Wang, H., Howard, N. (2013). Semantic Multi-Dimensional Scaling for Open-Domain Sentiment Analysis. IEEE Intelligent Systems, PP(99), 1.

Howard N. (2013). Intention Awareness Theory in Information Risk Engineering: Contrived Balance in Integrating Information Assurance and Situation Awareness. Journal of Information Assurance and Security (JIAS), 8(1), 9-17.

Howard N. (2013). Intention Awareness Theory: Risk Engineering Architecture Integrating Situation Awareness and Intention Awareness in Network-Centric Information PolicyJournal of Information Assurance and Security (JIAS), 8(1), 1-9.

Howard, N. & Bergmann, J. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate AlzheimerÕs Disease. Journal of Functional Neurology, Rehabilitation and Ergonomics, 2(1), 29-38.

Howard, N. & King, J. (2012). Does our Health Care System Prescribe too Many Pills for too Many Ills? The Growing Costs of Mental Illness In America. Journal of Functional Neurology, Rehabilitation and Ergonomics, 2(4), 345-352.

Howard, N. (2012). BrainSpace: Relating Neuroscience to Knowledge About Everyday Life. Cognitive Computation, published online August 2012.

Howard, N. (2012). Brain Language: The Fundamental Code Unit. The Brain Sciences Journal, 1(1), 4-45.

Howard, N. (2012). Energy Paradox of the Brain. The Brain Sciences Journal, 1(1), 46-61

Howard, N. (2012). Cognitive Architecture: Integrating Situation Awareness and Intention Awareness. The Brain Sciences Journal, 1(1), 62-84.

Howard, N., Lieberman, H. (2012). Brain Space: Automated Brain Understanding and Machine Constructed Analytics in Neuroscience. Brain Sciences Journal, 1(1), 85-97.

Howard, N., Guidere, M. (2012). LXIO The Mood Detection Robopsych. The Brain Sciences Journal, 1(1), 98-109.

Howard, N., Kanareykin, S. (2012) Transcranial Ultrasound Application Methods: Low-frequency ultrasound as a treatment for brain dysfunction. The Brain Sciences Journal, 1(1), 110-124.

Howard, N. & Guidere, M. (2011). Computational Methods for Clinical Applications: An Introduction. Journal of Functional Neurology Rehabilitation, and Ergonomics, 1(2), 237-250.

Howard, N., Argamon, S., Guidere, Mathieu. (2009). Rich Language Analysis for Counterterrorism in Computational Methods For Counterterrorism. Howard, N., Argamon, S. (Eds.) Berlin: Springer-Verlag. 109-120.

Howard, N. (2007). Nuclear Energy Without Weapons. Defense Concepts Journal, 1(4), 6-10.

Howard, N. (2007). Nuclear Power for the Gulf States. Defense Concepts Journal, 2, 1-2.

Howard, N. & Kanareykin, S. (2007). Analysis of Federated and Centralized Information Sharing Architecture. Defense Concepts Journal, 1-6.

Howard, N. (2007). Evolution of CommanderÕs Intent in the United State Military. Defense Concepts Journal, 1-11.

Howard, N. & Kanareykin, S. (2007). GJXDM Implementations and Network Performance. Defense Concepts Journal, 1-5.

Howard, N., & Kanareykin, S. (2006). Analysis of Global Justice XML Data Model. Defense Concepts Journal, 1(4), 12-24.

Howard, N. & Qusaibaty, A. (2006). From Spirituality to Radicalization - Tableeghi Jamaat and the Potential for Transnational Violence. Defense Concepts Journal, 1(3), 1-7.

Howard, N. Qusaibaty, A., Kanareykin, S. (2006) Intention Awareness in a Nutshell. Defense Concepts Journal, 1(3), 48-57.

Howard, N. & Qusaibaty, A., Roland, C. (2006). Cognitive Models with Volition. Defense Concepts Journal, 1(2), 21-35.

Howard, N. & Guidre, M. (2006). The Clash of Perceptions. Defense Concepts Journal, 1(1), 3-5.

Howard, N., Post, J., Steinburg, A. (2006) When Trauma DoesnÕt Bleed: Understanding the Needs of the First Responder Community. Defense Concepts Journal, 1(3), 22-24.

Howard, N. (2006). Bridging the Gap Between Simulation-Based Acquisition and Social Components of System Analysis. Defense Concepts Journal. 1(4), 50-79.

Howard, N. (2006). Interoperability Training: a Key to Streamlined Law Enforcement. Defense Concepts Journal, 1(2), 4-6.

Howard, N. (2005). Global Defense Policy of Laws: A Systematic Approach toward International Law. Defense Concepts Journal, 2, 1-6.

Howard, N. & Kanarykin, S. (2005). Global Justice XML Data Model: Current Challenges and Efforts to Resolve them. Law Enforcement Executive Forum, Nov., 143-150.

Howard, N. & Kanareykin S. (2005). XML Intrusion Prevention - A Comprehensive Threat Model. Defense Concepts Journal, 1, 1-6.

Howard, N. & Tobenkin, D. (2003). The FCCÕs Broadband over Power Line Inquiry: Considering Radiofrequency Interference Rules of the Road for the Third High-Speed Communications Wire. Virginia Journal of Law and Technology, 8(10), 1-63.

 

Solutions

Intent: Development of functional brain and neuron interfacing abilities, using intent-based models to facilitate representation and exchange of information.

Open Brain project initiative: Implementing necessary tools for physicians to assist in the process of pharmacotherapy to produce individualized treatment strategies to incorporate solutions for psychiatric treatments and brain prosthetics.

Memory: Advanced theories about how memories can be latent in the synaptic connections of a recurrent neural network.

Trauma: In collaboration with the MIT's Picower Institute for Learning and Memory, research has been studying the molecular mechanism that governs the formation of fears stemming from traumatic events such as in PTSD.

Conference Papers

Howard, N., Pollock, R., Prinold, J., Sinha, J., Newham, D., Bergmann, J. (2013). Effect of Impairment on upper limb performance in an Ageing Population. The Human Computer Interaction International 2013 Conference (HCI) July 21-26, 2013, Las Vegas, Nevada. Published in Lecture Notes in Computer Science (LNCS), Springer.

Gandy, L., Allan, N., Attallah, M., Frieder, O., Howard, N., Kanareykin, S., Koppel, M., Last, M., Neuman, Y., Argamon, S. (2013). Automatic Identification of Conceptial Metaphors with Limited Knowledge. Association for the Advancement of Artificial Intelligence Conference 2013 (AAAI), July 14-18, 2013, Bellevue, Washington.

Howard, N. (2013). Toward Understanding Analogical Mapping and Ideological Cataloguing in the Brain. Research Challenged in Information Science Series Conference (RCIS) May 29-31, 2013, Paris, France.

Bergmann, J., Howard, N. (2013). Design Considerations for a Wearable Sensor Network that Measures Accelerations during Water-Ski Jumping. IEEE Body Sensor Network Conference, May 6-9, 2013, Cambridge, Massachusetts.

Assaf, D., Howard, N., Neuman, Y., Last, M., Cohen, Y., Frieder, O., Argamon, S., Koppel. Identifying Adjective-Noun Metaphors. (2013) IEEE Symposium Series on Computational Intelligence April 15-19, 2013, Singapore.

Assaf, D., Neuman, Y., Cohen, Y., Argamon, S., Howard, N., Last, M., Frieder, O., Koppel, M. (2013). Why ŅDark ThoughtsÓ arenÕt really Dark: A Novel Algorithm for Metaphor Identification. Symposium Series on Computational Intelligence (SSCI), April 16-19 2013, Singapore.

Howard, N., Cambria, E. (2013). Application of Intention Awareness and Sentic Computing for Sensemaking in Joint-Cognitive Systems. Symposium Series on Computational Intelligence (SSCI), April 16-19 2013, Singapore.

Cambria, E., Howard, N. Sentic Blending: Scalable Multimodal Fusion for Continuous Interpretation of Semantics and Sentics. Symposium Series on Computational Intelligence (SSCI), April 16-19 2013, Singapore.

Last, M., Assaf, D., Neuman, Y., Cohen, Y., Argamon, S., Howard, N., Frieder, O., Koppel, M. (2013) Towards Metaphor Analysis for Natural Language Understanding. The 35th Annual Conference on Information Retrieval, March 24-27, 2013, Moscow, Russia.

Howard, N., Rao, D., Fahlstrom, R., Stein, J. (2013). The Fundamental Code Unit: A Framework for Biomarker Analysis. The 2nd Neurological Biomarkers Conference at the 2013 Biomarker Summit, March 20-22, 2013, San Francisco, California.

Howard, N. (2012). Diplomatic, Information, Military and Economic Power (DIME): an Effects Modeling System. IEEE 6th International Conference on Soft Computing and Intelligent Systems, 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS) November 20-24, 2012, Kobe, Japan.

Howard, N. (2012). Sensemaking in Symbiotic Joint-Cognitive Systems: Intention Awareness in Human-Machine Interaction. IEEE 6th International Conference on Soft Computing and Intelligent Systems, 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS) November 20-24, 2012, Kobe, Japan.

Howard, N. (2012). Digital Crosstalk: Using intention awareness for better battlefield and logistics communications. IEEE 6th International Conference on Soft Computing and Intelligent Systems, 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS) November 20-24, 2012, Kobe, Japan.

Howard, N., Neuman, Y. (2012). Can Computers Help Us to Better Understand Different Cultures? Toward a computer based CULINT. European Intelligence and Security Informatics Conference (EISIC) 2012, Odense, Denmark.

Howard, N. (2012). Perception in International Conflict: An agent-based approach. European Intelligence and Security Informatics Conference (EISIC) 2012, Odense, Denmark.

Johnson, D., Howard, N. (2012). Network Intelligence: An emerging Discipline. European Intelligence and Security Informatics Conference (EISIC) 2012, Odense, Denmark.

Howard, N. & Bergmann, J. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate Alzheimer's Disease. Organization for Computational Neurosciences, July 21-26, 2012, Atlanta/Decatur.

Howard, N. (2012). Intention Awareness in Human-Machine Interaction Sensemaking in Joint Cognitive Systems. IEEE International Conference on Information Sciences and Interaction Science, June 26-28, 2012, Jeju Island, Korea, 293-299.

Howard, N. & Kanareykin S. (2012). Intention Awareness in Cyber Security. CyberSec 2012: The International Conference on Cyber Security, Cyber Warfare and Digital Forensic, June 26-28, 2012, Kuala Lumpur, Malaysia, 6-11.

Howard, N. & Kanareykin, S. (2012). The Case for Intention Awareness in Security Systems: Lessons from battlefield command and control. International Conference on Electrical, Computer, Electronics & Biomedical Engineering, Dubai (U.A.E.), 1, 91-96.

Howard, N. (2011). Global Defense Policy System of Laws: Approach to balance of power theory. In Proceedings of European Intelligence and Security Informatics Conference. 248-258. ISBN 978-1-4577-1464-1.

Howard, N. & Qusaibaty, A. (2006). Intention Awareness for Collective Sensemaking: C2 concepts and organizations, cognitive domain issues, social domain issues. Command and Control Research Technology Symposium (CCRTS): The State of the Art and the State of Practice, 306-312. ISBN 978-1-4577-1375-0.

Howard, N. (2005). Application of Deterrence Assessment Methodologies of Commercial Ferry Attack Scenario. IEEE Homeland Security Conference, April 26, 2005. 1-9.

Howard, N. & Singletary, B.A. (2005). Sensemaking in Symbiotic Joint-cognitive Systems. Computer-Human Interaction Conference, Association for Computer Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI).1-4.

Howard, N., Rolland, C. & Qusaibaty, A. (2004). Process Complexity: Towards a theory of intent-oriented process design. International Conference for Information and Systems, Cairo, Egypt. 1-15.

Technical Reports

Howard, N. & Guidere, M. (2011). MSI: Mood State Indicator Algorithm. MMP Technical Report, Massachusetts Institute of Technology, Cambridge, MA.

Arnold, K., Howard, N. (2010). Propagator Networks. MMP Technical Report, Massachusetts Institute of Technology, Cambridge, MA.

Arnold, K., Howard, N. (2010). Open Mind Common Sense. MMP Technical Report, Massachusetts Institute of Technology, Cambridge, MA.

Howard, N. Tubbs, C. (2007). COSMOS System Design. Defense Information Systems Agency.

Howard, N. & Qusaibaty, A. (2006). Volition & Reflexion for Intentional Cognitive Models. Technical Report

Howard, N. (1999). Reducing Fratricide in Troops: the Digital Cross Talk System. Oxford School of Engineering Technical Report.

Howard, N. (1997). Ethnomethodology for requirement elicitation and analysis of military systems. Oxford University Technical report.

Howard, N. (1999). Intention awareness in command control communication and intelligence. Oxford University Technical Report.

Howard, N., Kanayrekin, S. (2005). BPL Interference for Remote Detection and Identification. George Washington University School of Engineering Technical Report.

Howard, N., Johnson, D. (2001). The American corporation: an inside look of the American government. Cybersecurity Policy Research Institute George Washington University Technical Report.

Howard, N. (2005). Promoting Intention Awareness in Decision Support Systems. George Washington University School of Engineering Technical Report.

Howard, N. (2004). COSMOS Program Overview. U.S. Defense Information Systems Agency & Cybersecurity Policy Research Institute George Washington University Technical Report.

Howard, N. (2004). COSMOS Project Summary. U.S. Defense Information Systems Agency & Cybersecurity Policy Research Institute George Washington University Technical Report.

Howard, N. (2004). GJXDM Program Overview. U.S. Dept of Justice, Cybersecurity Policy Research Institute George Washington University Technical Report & Center for Advanced Defense Studies (CADS) Technical Report.

Howard, N. (2004). GJXDM Performance Report . U.S. Dept of Justice, Cybersecurity Policy Research Institute George Washington University Technical Report & Center for Advanced Defense Studies (CADS) Technical Report.

Howard, N. (2002). Intentional requirements. George Washington University School of Engineering Technical Report. Contributions by Ph.D. students.

Howard, N., & Schmidt, S. (2001). Multidimensional Time Understanding Combinatorial Manifold. Physical Science Laboratory Technical Report.

Howard, N. (2000). Intention Awareness and Situation Awareness: Equilibrium and Applications. U.S. Defense Information Systems & George Washington University School of Engineering Technical Report.

Howard, N. (1998). Understanding the Phenomena of Fratricide. Oxford University Technical Report.

Note: To access a technical report please contact the author directly.

 

Events

Brain Inspired Mobile Security: Computational Analysis of Cognitive Signatures for Mobile Security, Keynote Speaker, Cyber Defense and Disaster Recovery Conference, University of Illinois Springfield, March 8, 2013.

Research Journey to The Fundamental Code Unit, University of Nebrasksa Lincoln, November 1, 2012.

Brain Sciences: A novel approach to understanding neuro-psycho pathologies, Walter Reed National Military Medical Center, Lecture Series August 2, 2012.

Recursion from Molecular Language to Meaning, Keane State University, October 2011.

Proposal of a model principle for neuronal multi-scale computation and communication toward advances in brain prostheses, Oxford University, May, 2011.

Recursion from Molecular Language to Meaning, International Association of Functional Neurology & Rehabilitation, Orlando, Florida, May 12, 2011.

Mind Machine Project: Emerging Conscious Systems, Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, March 24, 2011.

Mood Detection for PTSD: From axiological based systems Descartes Institute, International Symposium on Overview of Psycho-Trauma & PTSD, Paris, France, February 15, 2011.

Intention Awareness, International Law Enforcement Symposium, Florida, February, 2010.

Psychological Operations and Intention Awareness, International First Responder-Military Symposium, New York September, 2010.

International Risk Assessment and Horizon Scanning Symposium (IRAHSS), 2009.

Tech Net North 2006, Intention Awareness: Implications for C4ISR Architectures and Interoperability, September 20, 2006.

The Forth IISS Global Strategic Review, Countering Global Terrorism Š The U.S. Approach, September 10, 2006.

The Colloquium for Information Systems Security Education (CISSE), Emerging Digital Threats in 7. Service-Oriented Architectures (SOA): Challenges and Approaches, June 6, 2006.

National Academies of Science, Research Symposium, Homeland Security: Securing the Frontlines- Emerging Digital Threats, May 12, 2006.

INTELCON 2006 Intention Awareness in Psychological Operations (May 8), Digital Defense, (May 9).

George Washington University Medical Center: Grand Rounds, Theory of Intention Awareness: Balance and Equilibrium, May 4, 2006.

Principia Public Affairs Conference 57 - Cyber Alert: Confronting the Abuse of Digital Information, March 31, 2006.

ComDef West 2006 - C4ISR Interoperability: A Foundation for Coalitions, March 26, 2006

Cyber Defense and Disaster Recovery Conference, Emerging Digital Threats in Service-oriented Architectures, March 10, 2006

National Press Club Morning Newsmakers, National Security Challenges in the Classroom and Beyond, December 19, 2005

2nd Conference on Mathematical Methods in Counterterrorism, Lattice Theory to Encode Intentions for Political Violence, November 2, 2005

New York State Cyber-Security Conference, Cyber-security education, June 18, 2005

DARPA Workshop at North Dakota State University, Cybersecurity Implications for IC, June 1, 2005

NSDU 2005 - workshop on Cyber Security and the challenges to the Intelligence Community, May 26, 2005

IEEE Homeland Security Conference, April 26, 2005

FOSE 2005 - Presidential Directive (HSPD) 8, Chair Š Directive implemented, April 13, 2005

National Science Foundation, Department of Defense (DOD/NSA), annual Panel Member for Information Assurance Capacity Building; Federal Cyber Service

CHI 2005, sponsored by ACM's Special Interest Group on Computer-Human Interaction (ACM SIGCHI)

Intelligence Community 2005 - ARDA Complex Document Information Processing (CDIP) Workshop

3rd International Conference for Information and Systems (INFOS 2005)

1st Strategic Language Conference 2004, ƒcole SpŽciale Militaire de Saint-Cyr and other Co‘tquidan schools, Compigne, France

12th International Conference on Artificial Intelligence applications - Panel Chair, February 2004

Second International Conference for Information and Systems (INFOS 2004) ŠKeynote Speaker and chair for session entitled ŅSoftware Engineering Requirements Engineering,Ó March 2004, Cairo University, Egypt

Note: To access an event's content please contact the author directly.

 

Patents - U.S.

  • U.S. Patent: US 7058355 B2 - "Propagation of a wireless network through commercial outlets"
  • U.S. Patent: US 7177643 B2 - "Wireless network for routing a signal without using a tower"
  • U.S. Patent Application: US 8380902 B2 - "Situation Understanding and Intent-Based Analysis for Dynamic Information Exchange"
  • U.S. Patent Application: US 8407281 B2 - "Intent-Based Automated Conflict Prediction and Notification System"
  • U.S. Patent Application: 13/747448 - "System, Method, and Applications of Using the Fundamental Code Unit and Brain Language"
  • U.S. Patent Application: 13/102781 - "Medical Co-Processor for signaling pattern decoding and manipulation of cellular structures via direct interface"
  • U.S. Patent Application: 61/322158 - "Method for Cognitive Computing"
  • U.S. Patent Application: 60/223813 - "Wireless Communications System and Method"
  • U.S. Patent Application: 60/221231 - "System and Method for Command, Control and Commuication for Personnel and Weaponry"
  • U.S. Patent Application: 12/099088 - "Intent-Based Ontology for Grid Computing Using Autonomous Mobile Agents"
  • U.S. Patent Application: 60/907520 - "The Glass Office"
  • U.S. Patent Application: 60/907523 - "XML Threats: Intent-aware Intrusion Detection System or Web Services Applications"
  • U.S. Patent Application: 60/907522 - "Intent-centric Paradigms Cognative Computing and Cognative Engines"

Patents - International

  • International Patent Application: WO/2011/127424 (PCT) - "Method for Cognitive Computing"
  • International Patent Application: WO02/019290 (PCT) - "Intention-Based Automated Conflict Prediction and Notification System"
  • International Patent Application: WO02/13415 (PCT) - "Wireless Network"
  • International Patent Application: WO08/070101 (PCT) - "Situation Understanding and Intent-Based Analysis for Dynamic Information Sharing"

References

Mind Machine Project

Funk2 - research effort by MMP

Synaptic Neurophysiology Seminar

IsisWorld Simulator

Minds and Machines

Fab Lab House

Bahaa Hariri Institute for computational science and engineering

Axiological Cognition and it's Applications in Complex Psychological Asessment

The Eighth International Symposium on Neural Networks

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