John Hebeler, PhD is a Lockheed Martin Fellow developing advanced machine learning systems to uncover anomalies and patterns-of-life from large, real-time data streams (Sensors, IOT, Cyber) and developing associated machine learning processes, tools, and strategies.  Formally, he led a five-year program to analyze large, real-time data  streams to form complex policy determinations in an event-driven architecture.  John Hebeler holds six patents and is the coauthor of two technical books and multiple journal articles on networking, data semantics, and machine learning. He has presented at major conferences around the world on NoSQL databases, machine learning, graph analytics, and large scale, distributed architectures.  He formally developed and taught graduate technology courses for University of Maryland and Loyola University.  John holds a BS in Electrical Engineering from Rensselaer Polytechnic Institute, an MBA from Loyola University, and a PhD in Information Systems from University of Maryland, Baltimore County. In his free time, he’s an avid tennis player, beer brewer, and amateur audiophile, usually not simultaneously.

Education History

  • B.S. Electrical Engineering, Rensselaer Polytechnic Institute
  • M.S. Info Systems, University of Maryland – Baltimore County
  • MBA Business Administration, Loyola University
  • Ph.D Info Systems, University of Maryland – Baltimore County

Work Experience

Lockheed Martin Fellow, Lockheed Martin


Books (2): Semantic Web Programming (047041801X); Wiley 2009 (Over 100+ Citations) Peer-to-Peer: Building Secure, Scalable, and Manageable Networks (0072192844); McGraw Hill 2002

Exploring Determinants of Semantic Web Technology Adoption from IT Professionals’ Perspective: Industry Competition, Organization Innovativeness, and Data Management Capability Apr 2018 Computers in Human Behavior

Adaptive Unification of Diverse, Distributed Computing Resources for IT Convergence Conference Paper
Opportunistic Agent Cloud Framework (OACF) Proceedings of Workshop on e-Business
Geospatial Semantic Web: Architecture of Ontologies – 1st Geospatial Conference
Event Driven Big Data: Lockheed Martin Software Journal: (10/14)
Computing in the Clouds: Dr Dobbs Feb 2009 (last printed issue)