Robert K. Abercrombie Email & Phone Number

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;

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.

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.

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

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.

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.

Knoxville, Tennessee Area

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

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.

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.

Greater Memphis Area

Center for Information Assurance, FedEx Institute of Technology

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

Greater Memphis Area And Oak Ridge, Tn

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 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, 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.

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, 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).

Knoxville, Tennessee Usa

Taught (1) Database Systems Design and Theory, and (2) Embedded Network Security Upper Level Undergraduate and Graduate Level Courses.

Oak Ridge, Tn

Managed technical groups in development of complex computing inspection systems and applications in the DOE Nuclear Weapons Complex (’80-’82).

National Institutes Of Health (Nih) National Library Of Medicine (Nlm) Post-Doctoral Fellow

M.S.

Ph.D.

Visiting Researcher

Visiting Researcher

B.S.