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.)


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.

Publications, Patents & Venues

Textbooks and Monographs

Howard, N. (2015). Approach to Study the Brain: Towards the Early Detection of Neurodegenerative Disease, London, UK, Cambridge Scientific Publishing. ISBN 978-1-908106-49-0.

Howard, N. (2015). The Brain Language, London, UK, Cambridge Scientific Publishing. ISBN 978-1-908106-50-6.

Howard, N. (2014). Approach to Study the Brain: Towards the Early Detection of Neurodegenerative DiseaseOxford University, Bodleian Library.

Hussain, A., Cambrai, E., Schuller, B., & Howard, N. (2014). Affective Neural Networks and Cognitive Learning Systems for Big Data AnalysisNeural Network,58,1-3.

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

Journal Articles

Poria, S., Agarwal, Basant., Gelbukh, A., Hussain, A., Howard, N. (2014). Dependency-Based Semantic Parsing for Concept-Level Text AnalysisComputational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science, 8403, 113-127

Hussain, A., Cambria, E., Schuller, B., Howard, N. (2014). Affective Neural Networks and Cognitive Learning Systems for Big Data AnalysisNeural Networks, Special Issue, 58, 1-3.

Cambria, E., Howard, N., Song, Y. & Wang, H. (2014). Semantic Multidimensional Scaling for Open Domain Sentiment AnalysisIEEE Intelligent Systems, 29 March/April.

Bermann, J., Langdon, P., Mayagoita, R. & Howard, N. (2014). Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand TrajectoriesPLoS ONE, 9, e88080.

Nave, O., Neuman, Y., Perlovsky, L. & Howard, N. (2014). How Much Information Should We Drop to Become IntelligentApplied Mathematics and Computation, 245: 261-264.

Poria, S., Gelbukh, A., Hussain, A., Bandyopadhyay, S. & Howard, N. (2013). Music Genre Classification: A Semi-supervised ApproachPattern Recognition. Springer Berlin Heidelberg, 7914: 254-263.

Poria, S., Gelbukh, A., Agarwal, B., Cambria, E. & Howard, N. (2013). Common Sense Knowledge Based Personality Recognition from Text. Advances in Soft Computing and Its Applications,. Lecture Notes in Computer Science, Springer, 8266:2013, 484-496.

Cambria, E., Mazzocco, T., Hussain, A., Howard, N. (2013). Sentic Neurons: A Biologically Inspired Cognitive Architecture for Affective Common Sense Reasoning. In Procedia Computer Science, 00, 1-6.

Neuman, Y., Assaf, D., Cohen, Y., Last, M., Argamon, S., Howard, N. & Frieder, O. (2013). Metaphor Identification in Large Texts Corpora. PLoS One, 8.

Howard, N., Bergmann, J. & Stein, J. (2013). Combined Modality of the Brain Code Approach for Early Detection and the Long-term Monitoring of Neurodegenerative ProcessesFrontiers Special Issue INCF Course Imaging the Brain at Different Scales.

Bergmann, J., Graham, S., Howard, N. & Mcgregor, A. (2013). Comparison of Median Frequency Between Traditional and Functional Sensor Placements During Activity MonitoringMeasurement, 46, 2193-2200.

Howard, N., Stein, J. & Aziz, T. (2013). Early Detection of Parkinson's Disease from Speech and Movement Recordings. Oxford Parkinson's Disease Center Research Day 2013.

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

Bergmann, J. & Howard, N. (2012). Combining Computational Neuroscience and Body Sensor Networks to Investigate Alzheimer’s DiseaseBMC Neuroscience, 13(supp),

Howard, N., Lieberman, H. (2012). Brain Space: Relating Neuroscience to Knowledge About Everyday LifeCognitive Computation, published online August 2012.

Cambria, E., White, B., Durrani, T., & Howard, N. (2012). Computational Intelligence for Natural Language ProcessingIEEE Computational Intelligence Magazine, 9(1), 19-63.

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

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

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 RobopsychThe Brain Sciences Journal, 1(1), 98-109.

Howard, N., Kanareykin, S. (2012). Transcranial Ultrasound Application Methods: Low-Frequency Ultrasound as a Treatment for Brain DysfunctionThe Brain Sciences Journal, 1(1), 110-124.

Conference Papers

Howard, N., Hussain, A., Cambria, E. (2016). Computational Intelligence for Big Social Data Analysis. WCCI 2016 Special Session. Vancouver, Canada. In preparation.

Jehel, L., Pradem, M., Simchowitz, Y., Robert, Y., Howard, N., Messiah, A. (2015). Prendre en Compte la Dimension Transculturelle Dans L'évaluation du Risque Suicidaire et du Psychotraumatisme. 7ème Congrès Français de Psychiatrie, 25 et 28 novembre 2015. Lille, France

Dunn, J., Heredia, J. B. D., Burke, M., Gandy, L., Kanareykin, S., Kapah, O., Taylor, M., Hines, D., Freieder, O., Grossman, D., Howard, N., Koppel, M., Morris, S., Ortony, A. & Argamon, S. (2014). Language-Independent Ensemble Approaches to Metaphor Identification. CGAHI 2014: AAAI Workshop on Cognitive Computing for Augmented Human Intelligence. Quebec, Canada.

Howard, N., Jehel, L. & Arnal, R. (2014). Towards a Differential Diagnostic of PTSD Using Cognitive Computing MethodsInternational Conference on Cognitive Informatics and Cognitive Computing ICCI CC. London, UK: IEEE.

Howard, N., Bergmann, J. & Fahlstrom, R. (2013). Exploring the Relationship Between Everyday Speech and Motor Symptoms of Parkinson's Disease as Prerequisite Analysis for Tool DevelopmentLecture Notes in Computer Science, MICAI, November 24-30, 2013, Mexico City, Mexico.

Howard, N. (2013). Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid ConditionsLecture Notes in Computer Science, MICAI, November 24-30, 2013, Mexico City, Mexico.

Howard, N. & Cambria, E. (2013). Intention awareness: improving upon situation awareness in human-centric environments. Human-centric Computing and Information Sciences, 3;9, 1-17.

Howard, N. (2013). The Twin Hypotheses: Brain Code and the Fundamental Code Unit: Towards Understanding the Computational Primitive Elements of Cortical ComputingLecture Notes in Artificial Intelligence, MICAI, November 24-30, 2013, Mexico City, Mexico.

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.

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

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.

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.

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. San Francisco, California.

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. International Conference on Information Sciences and Interaction Science, June 26-28, 2012, Jeju Island, Korea, 293-299.

 Patents - U.S.

Patents - International

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 ? 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 ? 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, ?cole Sp?ciale 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) ?Keynote Speaker and chair for session entitled OSoftware Engineering Requirements Engineering,O March 2004, Cairo University, Egypt

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

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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