Ronald A. Bowers is the lead architect of the MUVES 3 vulnerability/lethality (V/L) analysis system.
Mr. Bowers has over 15 years experience in the development of software for V/L analysis. In addition to his work on MUVES, Mr. Bowers is a contributor to the Rio and BRL-CAD open source projects.
He holds a B.S. degree in aerospace engineering from the Virginia Polytechnic Institute and State University and an M.S. degree in computer science from The Johns Hopkins University.

Hugues is currently a member of the French IBM Center for Advanced Studies. He is responsible for experimenting combinations of ontologies and production rules at the execution level for the ONTORULE EEC project.
Hugues has been a member of the ILOG Rule Engine Team for 11 years. He initially took care of the C++ version of the Rete engine. Moving to Java, he investigated the capability to deploy simple rules on J2ME devices. He developed the sequential mode of JRules. He is the inventor and the original developer of the patented Fastpath algorithm of JRules.
More recently, Hugues has promoted the forthcoming Rule Virtual Engine that will introduce a platform independent intermediate language for the compiled form of the rules. Always looking for means to ease the life of the developers and curious to validate the 'eat your own dog food' principle, Hugues has introduced a rule-based programming environment so as to facilitate the creation and the maintenance of some complex pieces of the code of JRules. Hugues has a Master Degree in computer science.

Nate is presently a Ph.D. candidate at Michigan, working with John Laird in the Soar group, researching how long-living, knowledge-rich, learning agents can engage multiple tasks while maintaining reactivity in dynamic environments.
His research applies information retrieval, database, and AI techniques to the design, analysis, and evaluation of effective and efficient semantic and episodic memory systems, as currently implemented in the Soar cognitive architecture. Before his doctoral work, Nate founded and led an independent consulting firm in North Carolina, where he was involved in the development of such diverse projects as evidence tracking for law-enforcement agencies and web-based content management systems for educational institutions.
Nate received his B.S in Computer Science from North Carolina State University and his M.S. in Computer Science and Engineering from the University of Michigan.

Christian de Sainte Marie received his MSc in Electrical Engineering from the Swiss Federal Institute of Technology, in Zurich (Switzerland). He earned a PhD in Artificial Intelligence from the Grenoble Institute of Technology, in Grenoble (France). In 1988, he started a company, doing contract research for Defence and Industry on applications of Machine Learning. He joined ITMI, the Computer Vision, Robotics and AI subsidiary of CAP Gemini Sogeti, in 1993, as a technical manager in the Advanced Project department. In 1998, he joined ILOG, to manage the company's research projects. In that position, he managed about thirty research projects with external funding, both at the national and European level. He is currently the coordinator of a large European research project on using semantic technologies to make business rule management more business user friendly (project ONTORULE, www.ontorule-project.eu). As ILOG’s director for standards and R&D partnerships, Christian coordinated ILOG standardisation activities and represented ILOG at OMG and at the W3C Advisory Committee. He has been a co-chair of the W3C rule interchange format working group since its chartering in November 2005, and he acted as an editor for two of the specifications published by the working group. He is also a co-chair, at OMG, of the revision task force of the production rule representation meta-model specification (OMG PRR), which he helped design. Christian de Sainte Marie joined IBM in 2009, when IBM acquired ILOG.

Jacob Feldman, Ph.D. Founder & CTO, Open Rules Dr. Jacob Feldman is the Founder and CTO of OpenRules, Inc., an NJ corporation that created and maintains the popular open source business rules management system OpenRules.
He has extensive experience in development of decision support software using business rules and optimization technologies for real world mission-critical applications.
Jacob is also the Specification Lead for JSR-331 “Constraint Programming API” - http://jcp.org/en/jsr/summary?id=331.

Dr. Charles Forgy graduated from Woodrow Wilson HS in Dallas, received his BS in Mathematics from UT Arlington in 1972, and his Ph.D. in 1979 from CMU, where he met his future wife, Diana Connan, whom he married in 1977. They now have three sons and one daughter-in-law. A student of Allen Newell, he received his Ph.D. based on the Rete Algorithm. Dr. Forgy remained at Carnegie Mellon post-graduation and worked on further improvements to OPS. He was co-principal investigator on a DARPA funded contract to develop parallel hardware for production systems.
In 1983 he formed a company called Production Systems Technologies to develop and sell rule-based software, where he developed Rete 2, a more efficient successor to Rete. Rete II enabled rulebased programs to run between 50 and 100 times faster than the original Rete algorithm, depending on the complexity of the rules and objects. (The more complex, the faster the comparative results.) Dr. Forgy has often described PST as a research-oriented company rather than a vendor of BRMS tools, but he does sell various rulebased tools via PST.
Dr. Forgy was Chief Scientist with Rules Power where he developed Rete III extensions for Rulebased Workflow systems. After Rules Power was bought by Fair Isaac (FICO) he now works on a contract basis with them to extend the power and functionality of the FICO Blaze Advisor algorithm. In addition, he has in the past year or so developed a more advanced algorithm than Rete 2 or Rete III and has written a parallel rulebase that is being used by some of the clients of PST.

Emory Fry, CAPT, MC, USN Investigator, Biomedical Informatics, Naval Health Research Center, San Diego, CA. Adjunct Assistant Professor of Biomedical Informatics, Assistant Professor of Pediatrics, Uniformed Services University of Health Sciences, Bethesda, MD.
Dr. Fry, a neonatal intensive care specialist by training, has over 15 years of experience in the design and development of enterprise clinical information systems for the Department of Defense. With a particular interest in cognitive science and clinical decision support, Dr. Fry is the Principle Investigator for both the Distributed Decision Support Services and Knowledge Management Repository (KMR) program and the real-time Closed-Loop Mechanical Ventilation Initiative (SmartVent).
He is also a collaborator in several national clinical decision support initiatives including the University of Texas-Houston, National Center for Cognitive Informatics and Decision Making in Healthcare Sharp Award. He was the original architect for the Military Health System’s Nationwide Health Information Network program during 2008-2009, and the Technical Director for the Department of Defense Virtual Lifetime Electronic Record demonstrations in San Diego, 2010.

In 1995, Rolando founded BizRules.com to help Global 2000 companies Write the Rules of eBusiness® and to help put Government Online Instead of People In Line®. In 1996-1997, Rolando helped write the Disability Benefit Eligibility & Entitlement business rules for the Govt. of Canada’s Social Security Modernization Project.
Rolando leads business re-engineering and business modernization consulting projects where his aptitude for improving business processes, harvesting and documenting business rules, simplifying and solving complex business problems, Fortune 500 experience, and knowledge of emerging technologies can be effectively used. He assist companies and managers in designing, building, and deploying rules-based applications using the business rules approach, methodology, and technology.
Rolando holds a Master of Science (M.S.), Computer Information Systems / Artificial Intelligence, 1988, and a Bachelor of Science (B.S.), Systems Analysis, 1986. (Both from University of Miami, School of Business, Coral Gables, FL).

Paul Haley has been commercializing artificial intelligence technology for three decades. At Carnegie Mellon University, Mr. Haley led the development of some of the first commercial expert systems for Digital Equipment Company where he began working on enhancements to the Rete Algorithm and related knowledge engineering tools.
Mr. Haley continued his work at Inference Corporation, where he led the development of ART, the Automated Reasoning Tool, from which CLIPS and JESS are derived, especially its forward and backward-chaining derivative of the Rete Algorithm, as Chief Scientist. Mr. Haley left inference to returned to Pittsburgh to co-found Intelligent Software Technology which developed reasoning technology, natural language understanding and machine learning software for program trading and automated portfolio management.
Mr. Haley founded Haley Systems, which developed the scalable high-performance inference engines during the nineties and natural language knowledge management and automation software until ultimately being acquired by Oracle several years ago.
For the last several years, Mr. Haley has been working on advanced artificial intelligence and semantic technology research with Vulcan’s Project Halo while leading Automata, Inc., which provides a variety of strategic technology and business development services in addition to knowledge engineering.

Brian Jones has spent much of the last 30 years tilting at "Why do I have to do this? Can't the machine?" and is finally seeing a chance at victory. Co-founding Grindwork Corporation was a major milestone. After spending 16 years leading multi-user, multi-threading, multi-operating system projects (and teaching those topics internationally) he is now finally able to focus on "user needs as machine input." And like all software developers know, once one decides what the machine needs to do, the rest is just code.

Dipl.-Ing. Dr. Wolfgang Laun studied Mathematics at the Technical University of Vienna, where after graduation he worked as an assistant professor in the Computer Science Department.
In 1985, he joined ITT Austria (later Alcatel Austria, then Thales Austria) as a software trainer. After a period as head of the department for Software Technology and Tools, he is now engaged as a specialist with research in software technology, where his field of activity includes XML binding, programming techniques for safety-relevant applications and rule based programming.
He is the author of Konzepte der Betriebssysteme (Springers Angewandte Informatik), 1989.

Carole-Ann Matignon serves Sparkling Logic Inc. as President & Chief Executive Officer.
She is a renowned guru in the Decision Management space. She created the vision for Decision Management that is widely adopted now in the industry. Her claim to fame is the strategy and direction of Blaze Advisor, the then-leading BRMS product, while she also managed all the Decision Management tools at FICO (business rules, predictive analytics and optimization). She has a vision for Decision Management both as a technology and a discipline that can revolutionize the way corporations do business, and will never get tired of painting that vision for her audience. She speaks often at Industry conferences and has conducted university classes in France and Washington DC.
Leveraging her Masters degree in Applied Mathematics / Computer Science from a “Grande Ecole” in France, she started her career building advanced systems using all kinds of technologies -- expert systems, rules, optimization, dashboarding and cubes, web search, and beta version of database replication – as well as conducting strategic consulting gigs around change management.
She now tweets as @CMatignon, blogs at blog.sparklinglogic.com and interacts at community.sparklinglogic.com.

A long-time contributor to the Jess user group, Alan Moore is currently a senior software engineer at AJA Video Systems, Inc.
Alan is a programmer's programmer, with a 25+ year career spanning such companies as eBay, Ciphergen Biosystems, Ten Square, Intel, Harman International, Cemax-Icon Inc., Octel Communications, and Hewlett-Packard.
He has a M.S., Computer Science, 1989 - 1991 from California Polytechnic State University-San Luis Obispo and a B.S., Computer Information Systems, 1982 - 1986 from Menlo College.

Dr. Andrew Ng is an Associate Professor in the Department of Computer Science at Stanford University. His work is primarily in machine learning and robotics.
Andrew's research is in the areas of machine learning and artificial intelligence. He leads the STAIR (STanford Artificial Intelligence Robot) project, whose goal is to develop a home assistant robot that can perform tasks such as tidy up a room, load/unload a dishwasher, fetch and deliver items, and prepare meals using a kitchen. Since its birth in 1956, the AI dream has been to build systems that exhibit "broad spectrum" intelligence. However, AI has since splintered into many different subfields, such as machine learning, vision, navigation, reasoning, planning, and natural language processing.
To realize its vision of a home assistant robot, STAIR will unify into a single platform tools drawn from all of these AI subfields. This is in distinct contrast to the 30-year-old trend of working on fragmented AI sub-fields, so that STAIR is also a unique vehicle for driving forward research towards true, integrated AI.
Andrew also works on machine learning algorithms for robotic control, in which rather than relying on months of human hand-engineering to design a controller, a robot instead learns automatically how best to control itself. Using this approach, Ng's group has developed by far the most advanced autonomous helicopter controller, that is capable of flying spectacular aerobatic maneuvers that even experienced human pilots often find extremely difficult to execute. As part of this work, Ng's group also developed algorithms that can take a single image,and turn the picture into a 3-D model that one can fly-through and see from different angles.
Dr. Ng received his Ph.D. from the University of California, Berkeley, and he is the author or co-author of over 100 published papers in machine learning, robotics and related fields.

Jason Morris is the owner of Morris Technical Solutions LLC, specializing in Java web-application development and rule-engine applications. He has worked as a software engineer for such companies as Autodesk, WebTrends, and NetIQ. With more than 17 years in the technical/engineering software business, he has been a full-time consultant since 2002.
Jason is currently providing professional and engineering services to Windmill International, one of the defense industry’s business leaders in program management, engineering, training, technology and software development.
His on-going research includes a joint-development effort with the University of Sydney, AU on a rule-based expert system called SINFERS for computation of soil properties from field data – AI being his passion.
From 2006-2007, Jason was a GAANN Fellow at Worcester Polytechnic Institute where he was pursuing a Ph.D. in Computer Science and working on Intelligent Tutoring Systems. He holds a B.S. in Applied Engineering Sciences from Michigan State University, a B.S. in Mechanical Engineering from Michigan Technological University, and a M.S. in Engineering and Technology Management from Portland State University.
Please feel free to contact him at: consulting@morris-technical-solutions.com

James Owen is an independent Consultant / Architect for Knowledge-Based Systems Corporation in Fort Worth, Texas. He has worked directly for Neuron Data, Knowledge-Based Systems Corporation and ILOG. He has worked independently for most of the Fortune 100 companies such as Pfizer, Honeywell, Hewlett Packard, Sun as well as companies such as Santa Cruz Operations and others.
He started his AI career doing ND Nexpert for FedEx and, more recently, working for most of the Fortune 100 Companies as Product Manager (definitely not a geek thing) for FICO. In the meantime, he found a few minutes to blog for ORF, DRG, and RF as well as write articles on AI about rulebased companies for InfoWorld.
You can contact him at jco@kbsc.com.

Mark Proctor Drools Team Lead Mark Proctor received his B.S. Eng. in Engineer Science and Technology and then his M.S. in Business and Information Systems; both from Brunel University, West London. His M.S. thesis was in the field of Genetic Algorithms; which is where he first got his interest for anything AI related.
Mark became involved in the Drools expert system project at an early stage and soon became its project lead. Mark then joined JBoss (later acquired by RedHat) as an employee when the Drools project was federated into the JBoss JEMS stack.
Having developed a powerful expert system, Mark is now turning his attention to other declarative paradigms in an effort to unify them to allow for richer domain modeling environments.

Mauricio has been a Drools and jBPM5 Community Contributor for more than three years now. As CTO of Plug Tree, he has been an active community member, trainer, developer and Open Source Software Evangelist.
Mauricio is the author of the jBPM Developer Guide for Packt Publishing (2009). He was a JBoss Community Award Winner 2011 (New Features – Bug Fixes).

Daniel Selman, Product Architect, IBM WebSphere ILOG BRMS Daniel has worked as a product manager, software engineer and architect on many diverse products: from PrintShop Deluxe for Broderbund Corporation to WebLogic Portal Server for BEA Systems. While at BEA Systems Daniel was the specification lead for JSR-94 (Java Rule Engine API) within the Java Community Process and lead the WebLogic Portal rule engine team Within IBM, Daniel works as a Product Architect, specializing in scalable Eclipse-based tools to enable business and IT collaboration. Daniel holds a B.Eng. in Civil Engineering with Computing and an M.Sc. in Artificial Intelligence. He is the author of Java 3D Programming published by Manning Publications and is based in Brittany, France.

Carlos has spent a fair part of his 24+ years of professional adventures in the Decision Management world. Carlos joined AI pioneer Neuron Data in its early days, worked on Nexpert, expert system leader, and was at the origin of Blaze Advisor, which helped bring about the BRMS revolution to business applications. Until recently, he has been responsible for all Decision Management technologies at FICO, as well as the company's Enterprise Architecture group.
Carlos graduated from Ecole Polytechnique, Ecole Nationale des Mines and Universite Paris-IX Dauphine, all in Paris, France. His studies focused mainly on Applied Mathematics, Signal Processing and Automatics. He went on to work on major European technology projects in the automotive industry as well as at the European Space Agency, focusing on distributed real-time systems. He also co-founded a startup providing algorithmic front-office trading systems for the European financial market. He is the holder of a number of patents in the real-time and decision management spaces.
Carlos encourages all to participate in and contribute to humanitarian causes to help relieve the hardship that is everyday life for so many, in particular kids.
He tweets at @casmrv, blogs at blog.sparklinglogic.com and interacts at community.sparklinglogic.com.

Kenny Shi leads an engineering team in crafting and innovating a decision platform in the area of fraud detection and risk management at eBay.
During seven years in his role, he has built and successfully deployed a business rules management system, a predictive analytics platform, and numerous fraud detection capabilities. This platform has achieved exceptional value by providing rule analysts, fraud policy makers, data mining scientists, customer service operations with automation, real-time decision, adaptive machine learning techniques, and flexible management.
Kenny is especially passionate about building and evangelizing scalable decision management technologies in large volume transactional environments.

Davide is currently working as an independent private consultant and as a post-doc researcher at the University of Bologna, being involved the development of remote health-care systems, enhanced with AI-based predictive, diagnostic and planning features.
In 2006, he has been awarded a SPINNER grant from the region Emilia Romagna, attending a post-graduate course in "Research, Innovation and Technology Transfer". Since 2006, he has been working on the development of intelligent DSSs in the environmental (in cooperation with the Italian National Agency for the Energy, Environment and New Technologies) and medical field and is a member of the Drools Community, leading a sub-project on the extension of production rule engines to support uncertain and fuzzy reasoning.
Davide Sottara got his Ms. Degree (2006) and his Ph.D (2010) in Computer Science, Electronics and Telecommunications from the University of Bologna. His research and development interests include artificial intelligence in general and decision support systems in particular, focusing on hybrid systems combining predictive models and rule-based systems.

Dr. Said Tabet Said is the co-founder and co-Chair of the RuleML Initiative. He has been involved in Business Rules and Policies and their integration with enterprise IT systems for more nearly two decades.
He participates in various standards initiatives on rules, semantic web services, and service oriented compliance. Said has been working with leading financial services companies to develop compliance solutions utilizing open standards for data and corporate/regulatory policies employing RuleML, OMG, and W3C standards.

Paul Vincent, MSc, BSc, MBCS, CEng, is CTO for Business Rules and CEP at TIBCO Software, an independent enterprise software company that focuses on middleware, SOA/BPM, and CEP. The CEP software is used to provide real-time business "Operational Intelligence" alongside Master Data Management and Analytics, using various types of rules and decisioning technologies including Rete-type production rules (for ECA rules and event cloud patterns).
Paul has been involved in rule-based development since graduate work on diagnostic expert systems in the 80s, moving through knowledge-based systems and traditional BRMS-based decision services in the 90s and 00s, through to Complex Event Processing with rules and other paradigms. He has consulted on a wide range of application areas for rules in the US and Europe.
Paul co-chairs the Event Processing Technical Society Reference Architecture Working Group and OMG Production Rule Representation UML extension, and contributes to other rule-related standards. He blogs on CEP and rule topics at http://tibcoblogs.com/cep.

Michael is an engineer for The MITRE Corporation, a not-for-profit chartered to work in the public interest. MITRE operates multiple Federally Funded Research and Development Centers, unique organization that assists the United States government with scientific research and analysis, development and acquisition, and/or systems engineering and integration.
Prior to MITRE, Michael was a co-founder and Chief Technology Officer of EchoStorm, LLC best known in the U.S. military intelligence community for developing ISRIS ("Intelligence Surveillance and Reconnaissance Information Service"), components of which are plugged into the ground stations of unmanned Predator aircraft to process and disseminate video. EchoStorm began in the Hampton Technology Incubator, and is now fully owned by ITT Corporation. Prior to EchoStorm, Michael was employed at NBCi, the Internet division of the National Broadcasting Company, first as a site engineer, later as the Acting Technical Director of NBCi's Broadband division, and later still as an architecture team lead for the company as a whole.
You can keep up with Michael's open source discoveries by visiting at https://github.com/nemonik or tracking what he's currently up to by following him on Twitter at http://twitter.com/nemonik.

George Williamson is a Systems Engineer with twelve years experience working in the Decision Technologies Group at Union Pacific Railroad. During that time, he has served as a subject matter expert for all rules-based technologies, including Complex Event Processing.
He has, personally, designed and implemented over a dozen enterprise-quality rules-based solutions for the railroad and consulted on many others. His education includes an M.S. in Computer Science, specializing in Artificial Intelligence, from the University of Nebraska at Omaha and a B.S. in Computer Science from the University of New Mexico.

Charles is a principal consultant at Solidsoft U.K. specialising in connected systems, workflow and rules engines. He has over twenty years experience in IT as a developer, trainer and consultant. Charles blogs extensively on Microsoft Biztalk and related subjects, and has been appointed as a Microsoft MVP (Most Valuable Professional) for BizTalk.