Robert K. Abercrombie

Robert K. Abercrombie Email and Phone Number

Prime Time Computing, LLC @
Robert K. Abercrombie's Location
Knoxville, Tennessee, United States, United States
Robert K. Abercrombie's Contact Details

Robert K. Abercrombie work email

Robert K. Abercrombie personal email

n/a

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About Robert K. Abercrombie

Currently expanding techniques in current endeavors within Prime Time Computing, LLC and in coordination with SHMCEES, LLC with the purposes of bringing to market various intellectual property portfolios.

Robert K. Abercrombie's Current Company Details
Prime Time Computing, LLC

Prime Time Computing, Llc

Prime Time Computing, LLC
Robert K. Abercrombie Work Experience Details
  • Prime Time Computing, Llc
    Co-Founder And Ceo
    Prime Time Computing, Llc Jul 2018 - Present
    Knoxville, Tennessee, United States
    Our current Models and Methods address:-Quantitative evaluation techniques related to performance, dependability, security, privacy, survivability, real-time constraints, cost, energy-efficiency and combined aspects like performance-security trade-offs;- Testing, measuring, bench-marking, learning, and run-time monitoring of systems and networks;- Parameter estimation, model learning, extremal-value and outlier analysis, big data analytics,- Queueing models, Markov and non-Markovian models, network calculus, stochastic games, integration of stochastic modeling into formal methods;- Simulation techniques including rare event simulation and parallel and distributed simulation;- Fault-tolerant and dependable computing, redundancy and fault modelling, fault injection methods;- Network planning and optimization especially for cyber-physical networking;- Models, methods and tools for explainable machine learning;
  • Prime Time Computing, Llc
    Director, Cybernomics Center
    Prime Time Computing, Llc Nov 2015 - Present
    Knoxville, Tennessee Area
    The Cyber Security Econometrics System, or CSES, and its analog All Hazards Econometrics System (AHES), are cybernomics tool for determining Mean Failure Cost (MFC), Both have been demonstrated in multiple subject domains (for example, a failure is assumed to be the result of a malicious action). The MFC is a vector that assigns to each system stakeholder the statistical mean variable that represents the loss sustained by that stakeholder as a result of possible failures. It provides goals and milestones for protecting the system of choice. This method provides a comprehensive basis for choosing courses of action with highest risk reduction return on investment, quantifies security for comparison of architectures for subject domains of interest, and gives a rigorous methodology/tool combining root cause and impact analysis for managing risk to a degree commensurate with a stakeholder’s potential losses. It is a system that provides a quantitative indication of reliability, performance and/or safety of a system that accounts for the critical nature of each requirement as a function of one or more stakeholders' interests in the requirement.
  • Prime Time Computing, Llc
    Co-Founder, Vice President, Innovation And Product Development & Chief Technology Officer
    Prime Time Computing, Llc May 2016 - Jul 2018
    Knoxville, Tennessee Area
    As a Veteran Owned Small Business, investigating the commercialization of intellectual property while employed at ORNL. Under a recently completed contract to Oak Ridge National Laboratory, extended research and applied the Mean Failure Costs (MFC) and the application of All-Hazard Econometric System (AHES, pronounced Oz) to the investigation, development, and analysis of the risks, costs, and benefits of a micro-grid utilizing renewable energy systems and re-investigating the basic mathematical bases with regards to statistical rigor.
  • Shmcees, Llc
    Founding Partner
    Shmcees, Llc Nov 2019 - Present
    Knoxville, Tennessee, United States
    History of SHMCEES, LLC and Technology Transfer from Department of Energy Oak Ridge National Laboratory (managed by UT-Battelle, LLC)SHMCEES, LLC is a technology services firm offering the next generation Structural Health Monitoring (SHM) solution leveraging AI to the civil infrastructure industry. This solution incorporates patented technology developed at Oak Ridge National Laboratory and exclusively licensed to SHMCEES, LLC that not only monitors a structure’s health in real-time, but continuously forewarns of structural failure, thus minimizing the costs and risks associated with failing infrastructure.Tested and validated by the DOE, Federal Highway Administration (FHWA), the US Army, and federally funded state bridges, SHMCEES, LLC is positioned to launch NuPredict™ in the $100B SHM market in 2024.SHMCEES, LLC website - https://sites.google.com/view/shmcees/home
  • Trustalytix, Llc
    Founding Partner
    Trustalytix, Llc Jul 2019 - Dec 2021
    Knoxville, Tennessee And Coeur D'Alene, Idaho
    Trustalytix, LLC is addressing the subject domain of MMB (Measurement, Modelling and Evaluation of Computing Systems). This is a major cybernomics concern which addresses all scientific aspects of measurement, modelling and evaluation of intelligent systems including computer architectures, communication networks, distributed systems and software, autonomous systems, workflow systems, cyber-physical systems and networks, internet-of-things, as well as highly dependable, highly performance of and highly secure systems.
  • Trustalytix, Llc
    Director Of Joint Cybernomics Laboratory & Center
    Trustalytix, Llc Jul 2019 - Dec 2021
    Knoxville, Tennessee And Coeur D'Alene, Idaho
    The Cyber Security Econometrics System, or CSES, and its analog All Hazards Econometrics System (AHES), are cybernomics tool for determining Mean Failure Cost (MFC), Both have been demonstrated in multiple subject domains (for example, a failure is assumed to be the result of a malicious action). The MFC is a vector that assigns to each system stakeholder the statistical mean variable that represents the loss sustained by that stakeholder as a result of possible failures. It provides goals and milestones for protecting the system of choice. This method provides a comprehensive basis for choosing courses of action with highest risk reduction return on investment, quantifies security for comparison of architectures for subject domains of interest, and gives a rigorous methodology/tool combining root cause and impact analysis for managing risk to a degree commensurate with a stakeholder’s potential losses. It is a system that provides a quantitative indication of reliability, performance and/or safety of a system that accounts for the critical nature of each requirement as a function of one or more stakeholders' interests in the requirement.
  • Altenna, Llc
    Founding Board Member
    Altenna, Llc Aug 2018 - Dec 2020
    Knoxville, Tennessee Area
  • Blockalytix, Llc
    Chief Operating Officer
    Blockalytix, Llc Oct 2018 - Oct 2020
    Knoxville, Tennessee Area
    Blockalytix, LLC and its staff are technical leaders in blockchain, cyber security, consulting, automated intelligence, and analytics. Services include: - Cloud-based, Secured Digital Vault w Blockchain tracking- Blockchain with Supply Chain Cloud Design - Blockchain integration with App services and databases - Mobile (Android, iPhone) multi-event, multi-modal authenticator- Supply Chain Automated Econometrics Risk Assessment Tool- Real-time Internet of Things (IoT) Camera and Tracking System
  • Blockalytix, Llc
    Director, Cybernomics Center And Laboratory
    Blockalytix, Llc Oct 2018 - Jul 2019
    Knoxville, Tennessee Area
    The Cyber Security Econometrics System, or CSES, and its analog All Hazards Econometrics System (AHES), are cybernomics tool for determining Mean Failure Cost (MFC), Both have been demonstrated in multiple subject domains (for example, a failure is assumed to be the result of a malicious action). The MFC is a vector that assigns to each system stakeholder the statistical mean variable that represents the loss sustained by that stakeholder as a result of possible failures. It provides goals and milestones for protecting the system of choice. This method provides a comprehensive basis for choosing courses of action with highest risk reduction return on investment, quantifies security for comparison of architectures for subject domains of interest, and gives a rigorous methodology/tool combining root cause and impact analysis for managing risk to a degree commensurate with a stakeholder’s potential losses. It is a system that provides a quantitative indication of reliability, performance and/or safety of a system that accounts for the critical nature of each requirement as a function of one or more stakeholders' interests in the requirement.
  • University Of Memphis, Center For Information Assurance, Fedex Institute Of Technology
    Director, Cybernomics Laboratory
    University Of Memphis, Center For Information Assurance, Fedex Institute Of Technology Nov 2015 - Nov 2016
    Greater Memphis Area
    The Cyber Security Econometrics System, or CSES, is a cybernomics tool for determining Mean Failure Cost (MFC), which has been demonstrated in the cyber security domain (for example, a failure is assumed to be the result of a malicious action). The MFC is a vector that assigns to each system stakeholder the statistical mean of the random variable that represents the loss sustained by that stakeholder as a result of possible security failures. It provides goals and milestones for protecting control systems, and has been applied using the National Institute of Standards and Technology Interagency of Internal Reports (NISTIR) 7628 as a basis. This provides a comprehensive basis for choosing courses of action with highest risk reduction return on investment, quantifies security for comparison of architectures for subject domains of interest, and gives a rigorous methodology/tool combining root cause and impact analysis for managing risk to a degree commensurate with a stakeholder’s potential losses. It is a system that provides a quantitative indication of reliability, performance and/or safety of a system that accounts for the criticality of each requirement as a function of one or more stakeholders' interests in the requirement.
  • The University Of Memphis
    Adjunct Professor, Department Of Computer Science
    The University Of Memphis Mar 2015 - Nov 2016
    Greater Memphis Area
    Center for Information Assurance, FedEx Institute of Technology
  • The University Of Memphis
    Affiliate Research Professor
    The University Of Memphis Dec 2015 - Sep 2016
    Greater Memphis Area
    Conducted research and performed duties testing NSA funded Multi-factor Authentication (MFA) System, which was headed by Dr. Dipankar Dasgupta. MFA is the current trend to genuinely identify authorized users (in multiple ways) through an authentication process via passwords, security token, biometrics, cognitive behavior metric, software/hardware sensors, etc. The goal of this project is to develop a multi-factor authentication system with adaptive selection of authentication modalities (with their features) in different operating environments making the selection strategy unpredictable to compromise
  • University Of Memphis & Oak Ridge National Laboratory
    Joint Faculty Appointment In The The Graduate School, University Of Memphis
    University Of Memphis & Oak Ridge National Laboratory Mar 2015 - Nov 2015
    Greater Memphis Area And Oak Ridge, Tn
  • Oak Ridge National Laboratory
    Co-Director, Computational Intelligence Behavior Modeling Laboratory And S&T Manager
    Oak Ridge National Laboratory May 2011 - Nov 2015
    Oak Ridge, Tn
    S&T Manager and Senior Program Manager responsible for programmatic and technical management of specialized programs for other government agencies at ORNL via DOE/ORNL Strategic Partnership Program concerning the Computational Intelligence Behavior Modeling Laboratory at ORNL.
  • Oak Ridge National Laboratory
    Director, Cybernomics Laboratory, Ornl
    Oak Ridge National Laboratory Jun 2008 - Nov 2015
    Oak Ridge Natonal Laboratory
    The Cyber Security Econometrics System, or CSES, is a cybernomics tool for determining Mean Failure Cost (MFC), which has been demonstrated in the cyber security domain (for example, a failure is assumed to be the result of a malicious action). The MFC is a vector that assigns to each system stakeholder the statistical mean of the random variable that represents the loss sustained by that stakeholder as a result of possible security failures. It provides goals and milestones for protecting control systems, and has been applied using the National Institute of Standards and Technology Interagency of Internal Reports (NISTIR) 7628 as a basis. This provides a comprehensive basis for choosing courses of action with highest risk reduction return on investment, quantifies security for comparison of architectures for subject domains of interest, and gives a rigorous methodology/tool combining root cause and impact analysis for managing risk to a degree commensurate with a stakeholder’s potential losses. It is a system that provides a quantitative indication of reliability, performance and/or safety of a system that accounts for the criticality of each requirement as a function of one or more stakeholders' interests in the requirement.
  • Oak Ridge National Laboratory
    S&T Manager And Senior Program Manager
    Oak Ridge National Laboratory Jun 2002 - Nov 2015
    Oak Ridge, Tn
    Senior Program Manager responsible for programmatic and technical management of specialized programs for other government agencies at ORNL via DOE/ORNL Strategic Partnership Program.
  • Y-12 National Security Complex
    Senior Program Manager
    Y-12 National Security Complex 1994 - May 2002
    Oak Ridge, Tn
    Oak Ridge DOE Complex - Lockheed Martin Energy Systems --> BWXT-Y12Senior Program and Technical Manager responsible for programmatic and technical management of specialized programs for other government agencies at ORNL via DOE "Work for Others" Program.
  • Oak Ridge Doe Complex - Union Carbide --> Martin Marietta --> Lockheed Martin Energy Systems
    Group Leader / Section Head
    Oak Ridge Doe Complex - Union Carbide --> Martin Marietta --> Lockheed Martin Energy Systems 1982 - 1994
    Oak Ridge, Tn
    Managed technical groups in Europe, South-West Asia, and in US (’89-’94) for Army and Joint Military Command sponsor with multi-year budget of $12M. Managed technical groups in development of complex computing inspection systems and applications in the DOE Nuclear Weapons Complex (’82-’89).
  • University Of Tennessee
    Adjunct Assistant Professor, Department Of Electrical Engineering & Computer Science
    University Of Tennessee Jan 1981 - Jun 1982
    Knoxville, Tennessee Usa
    Taught (1) Database Systems Design and Theory, and (2) Embedded Network Security Upper Level Undergraduate and Graduate Level Courses.
  • Union Carbide Nuclear Division
    Research Staff
    Union Carbide Nuclear Division 1980 - 1982
    Oak Ridge, Tn
    Managed technical groups in development of complex computing inspection systems and applications in the DOE Nuclear Weapons Complex (’80-’82).

Robert K. Abercrombie Skills

Leadership Laboratory Physics Computational Intelligence Information Security Distributed Systems Algorithms Systems Engineering Cyber Physical Systems Data Analysis Computer Security Smart Grid Strategic Planning Strategy Programming Program Management Network Security Analytical Skill Mathematical Modeling Probability Military Software Engineering Python Management Simulations Analytical Skills Research Computer Science Software Development Science Security Machine Learning Information Assurance High Performance Computing Analysis Data Mining Game Theory

Robert K. Abercrombie Education Details

Frequently Asked Questions about Robert K. Abercrombie

What company does Robert K. Abercrombie work for?

Robert K. Abercrombie works for Prime Time Computing, Llc

What is Robert K. Abercrombie's role at the current company?

Robert K. Abercrombie's current role is Prime Time Computing, LLC.

What is Robert K. Abercrombie's email address?

Robert K. Abercrombie's email address is ab****@****rnl.gov

What is Robert K. Abercrombie's direct phone number?

Robert K. Abercrombie's direct phone number is +190134*****

What schools did Robert K. Abercrombie attend?

Robert K. Abercrombie attended University Of Missouri-Columbia, University Of Missouri-Columbia, University Of Tennessee-Knoxville, Emory University, University Of Washington, The College Of William And Mary.

What skills is Robert K. Abercrombie known for?

Robert K. Abercrombie has skills like Leadership, Laboratory, Physics, Computational Intelligence, Information Security, Distributed Systems, Algorithms, Systems Engineering, Cyber Physical Systems, Data Analysis, Computer Security, Smart Grid.

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