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Organization 
Investigator Name 
Organization Type 
Area of Expertise 
Background, Interest,
and Capabilities
 
Contact Information 
State 
 
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 Lawrence Livermore National LaboratoryDavid Heinrichs Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear The Nuclear Criticality Safety Division at LLNL has competencies in reactor physics, radiation shielding, Monte Carlo multi-particle transport, critical and subcritical assembly experimental design, nuclear operations, nuclear data measurement and data processing, safety analysis, software quality assurance (NQA-1), etc.

Over the last 10 years, my Division has demonstrated expertise in identifying nuclear data gaps based on practical application needs and proposed, designed, executed, and evaluated integral (critical, subcritical, shielding, dosimetry) experiments to meet these needs. My Division is currently actively engaged in a number of multi-disciplinary collaborations with internal and external organizations. In the nuclear data area, my Division is actively collaborating with North Carolina State University and the Naval Nuclear Laboratory (Bettis, KAPL).
Website: www.llnl.gov

Email: heinrichs1@llnl.gov

Phone: 925-424-5679

Address: 7000 East Avenue, L-198, Livermore, CA, 94550, United States
CA
 TRI AustinDavid Forsyth Small Business Power Generation and Energy Production: Fossil/Nuclear Applications of artificial intelligence, Digital Twin, automated data analysis, forward and inverse modeling, risk, reliability associated with nondestructive testing/inspection/evaluation.
Website: 415 B Crystal Creek Drive

Email: dforsyth@tri-austin.com

Phone: 512-615-4451

Address: 415 B Crystal Creek Drive, Austin, TX, 78746, United States
TX
 Xologies IncorporatedJeremy L Perando Small Business Other Energy Technologies While going to college i worked via an Electrical Engineer apprenticeship with CONSOL energy. This certified me for working underground and I got my first look at drives and high voltage systems. With my newly found wealth working in the mines, i found the next 4 years in general labor underground in the coal mines. For the last two years of those 4 I was enrolled in a computer tech school completing my degree. I took job placement from there with Adelphia Communications where I got to work at corporate doing technical phone support while watching the broadband base grow from to 50 cities to 50000 cities. I wanted to get back closer to home and bid on a job at a local office where after a couple years Adelphia went bankrupt and i moved into temp work for COVAD communications doing backend phone support for T1 and T3 business lines. From there I took a permanent job working for BEITZEL corporation, a construction company in Garrett County MD. They were at a unique crossroads where mining safety regulation and technology smashed together. Being that I was already a certified miner and had spent the last 4 years in the tech field, I was able to help substantially in the Automation department. After a couple years Beitzel Corp formed Pillar Innovations where i assisted with building the department where i became manager of the automation and atmospheric monitoring product manager. After 9 years i was ask to start an automation department for an electrical contractor startup. Here I was responsible for entire coal preparation plant programming and SCADA systems. This lasted for a year where we started up one entire plant and some train loadouts. After the mining industry started to decline, CLINE Industires was still adding onto their coal plants as planned so all the work was moving to Illinois. At this point I started my business, Xologies Incorporated. Six years in and i can say that finding the right employee is the most difficult part of what a business owner does. Currently we support chemical and control systems using primarily Rockwell Software and Allen Bradley hardware. We also do custom robotics with ARM processors using PYTHON and web interfaces. Best asset is problem solving followed by intercommunication of old and new tech. Process control and control systems in general, just make sense to me. I also coach 2 FIRST robotics tech challenge teams and mentor on other teams.
Website: www.xologies.com

Email: jperando@xologies.com

Phone: 3046123788

Address: PO Box 102, Accident, MD, 21520, United States
MD
 Electron Energy CorporationMelania Jasinski Small Business Other Energy Technologies Electron Energy Corporation (EEC) is one of the world’s first rare earth permanent magnet (PM) producers, founded in 1970 with a non-exclusive license from the Air Force to practice a patent in Sm-Co magnet materials. With two manufacturing operations facilities with a total space of 85,000 ft2, EEC is known as the only US fully integrated manufacturer of rare earth permanent magnets and magnet assemblies. Starting from pure metals, EEC produces Sm-Co permanent magnets with superior magnetic properties to meet the most demanding requirements. EEC also commercializes Nd-Fe-B, ferrites and Alnico magnets. EEC is ISO 9001:2008 and AS9100C:2009 certified. EEC’s customers include military and aerospace prime contractors, as well as medical and oil exploration companies, and Navy nuclear programs.
EEC is best described as a specialty manufacturer addressing the permanent magnet needs of a variety of demanding applications, which include traveling wave tube, accelerometers, gyroscopes, high speed PM generators and motors, actuators, medical devices, and other industries that require high quality, high performance PM and/or magnet systems.
EEC successfully designed and developed an 1,800 pound ultra-high precision magnet assembly for the watt balance system for National Institute of Standards and Technology that redefines the kilogram standard. We have systems compliant with DOD specialty metals procurement regulations and we are registered by the Directorate of Defense Trade Controls by the US Department of State to work with ITAR projects and applications. EEC has currently about 140 employees. In the past two decades, EEC has been involved in more than a dozen research programs funded by DoD, NASA, NFS and DoE, including ARPA-E, for the development of permanent magnets, and permanent magnet applications. Under a DoE SBIR Fast Track program, EEC developed a PM quadrupole prototype for the next generation of electron-ion colliders.
EEC is interested in working on projects with need for magnets and magnetic systems with specialized function and properties, e.g. high magnetic performance, high uniformity of magnetic properties, ultra high temperature operation, ultra high thermal stability, corrosion resistance, etc.
Website: www.electronenergy.com

Email: melania@electronenergy.com

Phone: 717-459-1067

Address: 924 Links Ave, Landisville, PA, 17538, United States
PA
 Mason Energy & ManagementDr. Jack Mason Small Business Power Generation and Energy Production: Fossil/Nuclear • Supported two dozen senior nuclear executives in developing and implementing strategies to improve nuclear organization and plant performance.
• Managed a successful multi-million-dollar maintenance, repair, and operation management process/information system recovery project requiring staffing in a month and managing a team of 50 consultants for an intervention in a 10,000-person plus organization.
• Facilitated 24 major successful comprehensive nuclear power generation organization strategic planning and performance improvement engagements for board members, CEOs, presidents, and other senior executives at large nuclear power operating organizations
• Served as vice president of nuclear engineering for a utility for six months
• Led as president a turnaround of a $50 million public professional services company providing engineering, power plant design and safety analysis, environmental engineering, management consulting, and enterprise information systems for the nuclear industry and DOE
• As a founding vice president, started a successful subsidiary of a large navy professional services company formed to port maintenance, configuration, operation, and supply management and training services and products to the nuclear power industry
• Started up and managed several divisions of an engineering and management services company performing system engineering, design engineering, probabilistic risk analysis, engineering analysis, management consulting, and information systems development for nuclear industry clients.
• As a supervisor and engineer performed design and analysis of large nuclear steam supply systems including development and application of integrated coupled space- and time- dependent physics, thermodynamics, and system modeling for nuclear power plants. Developed, obtained funding for, and managed Electric Power Research Institute research and development projects.
• Conducted and published research involving education and training of technical professionals in nuclear power plant programs in France, Germany, Japan, and the US.
• As an officer in the US Navy qualified as the equivalent of senior reactor operator on three different design nuclear power plants and led a staff of 20 training and qualifying officers and enlisted on an operating nuclear power plant.
• Academic credentials including ScD and MS in nuclear engineering from MIT, MS in management from the Sloan School earned as a Sloan Fellow, and BS US Naval Academy
Website: www.masoneam.com

Email: jmason@masoneam.com

Phone: 3032638678

Address: 4012 Grays Gable Road, Laramie, WY, 82072, United States
WY
 Argonne National LaboratoryYoung Soo Park Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear Young Soo Park leads the Robotics and Remote Systems program at Argonne National Laboratory. He has 30 years of experience in R&D and design of robotics and remote systems (R&RS) for various nuclear applications, such as operation, inspection, maintenance, waste management, and D&D. ANL R&RS program aims at adopting new emerging technologies, such as 3D sensing, mixed-reality, 3D digital prototyping/simulation, AI, and IT technologies, to develop enhanced remote operations technologies for practical applications. Rather than developing complex robotic systems, which becomes hindrance to deployment, the innovation is focused on enhancement on human-robot interface and adaptation of advanced simulation. In particular, recent R&D programs resulted in the following technology developments, which are directly related to this program call:

- An enhanced telerobotic system, namely augmented teleoperation, which provides mixed-reality operator interface to guide human perception-action in remote operation to simplify and enhance robotic performance for dexterous manipulation of heavy tools. It is implemented by integrating real-time 3D sensing/reconstruction, virtual- and augmented-reality technology.
- An enhanced telerobotic system, namely teleautomy, which adopts machine learning technique to extract robot’s autonomous motion primitives from human demonstration. This method provides efficient semi-automatic operation of complex remote systems.
- Virtual-reality simulator for plant operator training, which integrates the nuclear plant model, plant control/protection systems, and operator interface. It has also integrated plant process monitoring, diagnosis, and 3D robot simulator.
- Robot system framework: We have developed a generic software framework for robotic system encompassing motion control, trajectory planning, path planning, and task planning. Built on the network distributed robot operating system (ROS), it provides flexible framework for integration with external system such as AI engines, user interface and simulator.

ANL R&RS program also has the Robotics and Augmented-Reality Laboratory in support of the program, which houses collaborative robotic systems, multi-modal augmented-reality systems, and large-scale virtual-reality simulator.
Website: www.anl.gov

Email: ypark@anl.gov

Phone: 630-252-5094

Address: 9700 South Cass Ave., Lemont, IL, 60439, United States
IL
 NuScale PowerErwin Laureano Large Business Power Generation and Energy Production: Fossil/Nuclear NuScale Power (NuScale) is developing a new modular light water reactor to supply reliable and abundant carbon-free nuclear energy. The NuScale small modular reactor (SMR) design features a fully fabricated NuScale Power Module™ capable of generating 60 MW of electricity using a safer, smaller, scalable version of pressurized water reactor technology.

A NuScale power plant can house up to 12 SMRs for a total facility output of up to 720 megawatts (gross). The SMR design is scalable, allowing customers to incrementally increase facility output to match demand. It is also flexible, providing significant opportunities to reduce the financial commitments and overall production costs normally associated with legacy nuclear facilities, including the amount of required staff because of the SMR’s unparalleled safety features.

Our interest involves the use of digital twins for both SMR and BOP to support online condition monitoring and performance, optimized predictive maintenance (PdM), use of cloud based servers for big data, optimized O&M activities (maintenance and surveillance testing), and robotics for remote handling and remote inspections.

NuScale Power is capable of providing strong O&M support with our team of previously licensed Senior Reactor Operators (operations, maintenance, and work management), Human Factors Engineers, NIST-1 Test Engineers (prototype modeling), Simulator Engineers, and Software Developers.
Website: https://www.nuscalepower.com/

Email: elaureano@nuscalepower.com

Phone: (541) 250-9223

Address: 1100 NE Circle Blvd., Suite 200, Corvallis, OR, 97330, United States
OR
 Enterprise Energy & Researchshahla keyvan Small Business Power Generation and Energy Production: Fossil/Nuclear EER’s research capabilities and resources in two main domains of data science and nuclear reactor operation encompasses reactor diagnostics/monitoring as well as inspection techniques utilizing Artificial Intelligence (AI). EER has developed real-time automated nuclear fuel pellet inspection prototype which utilizes depleted fuel pellet surface imagery integrated with AI techniques to detect flaws leading to accept/reject decision making based on the fuel manufacturing industry tolerance limit.
EER’s research scientist’s involvement with reactor diagnostics and fault detection (including acoustic monitoring) spans over decades covering fault detection in nuclear plant components via time series/statistical data analysis in the 80’s to AI for both 1-Dimentional data analysis and 2-D data (image analysis) in the 90’s and beyond. An extension of these capabilities has led to the development of temperature profiler, transferring images of surface walls of high temperature furnaces to temperature values at every pixel of the original image.
At the core of EER’s resources to perform analytics & data science is the center for AI application in engineering which holds an extensive library of various AI simulators including ART (Adaptive Resonance Theory) paradigm of Neural Networks.
Dr. Keyvan, a UC-Berkeley and MIT graduate in nuclear engineering, has good understanding of O&M (from operation/control to fuel integrity measurement) of reactor core through her hands-on experience as a licensed reactor operator at UC-Berkeley nuclear reactor in the 1980’s.
EER welcomes collaboration/partnering with interested parties towards accomplishing the GEMINA program’s goal.
Website: WWW.EER.EXPERT

Email: keyvan@eer.expert

Phone: 3142237319

Address: 11500 Olive Street Road, Suite 112, Creve Coeur, MO, 63141, United States
MO
 TerrapowerBaofu Lu Large Business Power Generation and Energy Production: Fossil/Nuclear TerraPower, a leading nuclear innovation company, has accrued a wide variety of knowledge, expertise and experience in reactor design, modeling and simulation, safety analysis and project management. Behind innovations, technologies and programs, TerraPower actively works to bring together the strengths and experiences of the world’s public and private nuclear research and energy sectors. As a leading nuclear innovation company, TerraPower is taking actions in developing advanced nuclear answers for pressing global needs and strives to improve the world through nuclear energy and science.
TerraPower is currently developing the Traveling Wave Reactor (TWR) and the Molten Chloride Fast Reactor (MCFR). TerraPower brings extensive knowledge of advanced reactors to the effort of significant O&M cost reduction through innovations.
Website: www.terrapower.com

Email: blu@terrapower.com

Phone: 425-324-2731

Address: 15800 Northup Way, Bellevue, WA, 98008, United States
WA
 North Carolina State UniversityMihai A. Diaconeasa Academic Power Generation and Energy Production: Fossil/Nuclear I am currently an Assistant Professor of Nuclear Engineering at the North Carolina State University. I obtained my B.S. degree from University College Utrecht, the international undergraduate honors college of Utrecht University, the Netherlands, my M.S. in Nuclear Science and Engineering from Massachusetts Institute of Technology (MIT), and Ph.D. in Mechanical Engineering from University of California, Los Angeles (UCLA). After my graduation, I held a postdoctoral research scholar position at the B. John Garrick Institute for the Risk Sciences from the School of Engineering at UCLA.

Over the past years, I've developed the methodologies needed to design and implement a suite of computer codes in the probabilistic risk, reliability, and resilience assessment fields for nuclear, aerospace, and maritime industries. I was also the associate general chair for the International Conference on Probabilistic Safety Assessment and Management (PSAM-14) hosted by UCLA in 2018. I am a member of the American Nuclear Society (ANS) Standards Committee ANS-30.1 Working Group under the Research and Advanced Reactors Consensus Committee and a non-voting member of the American Society of Mechanical Engineers (ASME) Safety Engineering and Risk Analysis Division (SERAD) Executive Committee.

I lead the design and development of ADS-IDAC, a dynamic probabilistic risk assessment methodology and software platform for nuclear power plants, the Hybrid Causal Logic Analyzer system risk and reliability software used to enhance the design process and assess the commercial off-the-shelf (COTS) parts usage in space systems for extended deep space missions at NASA’s Jet Propulsion Laboratory (JPL), and the Phoenix human reliability analysis methodology and software for Japan’s Nuclear Regulation Authority (JNRA).

My research focus includes theories, applications, and simulation-based techniques in risk sciences such as traditional and dynamic probabilistic risk assessment, reliability analysis, resilient systems design, probabilistic physics of failure modeling, and Bayesian inference.

The Department of Nuclear Engineering has extensive internal computational capabilities to support modeling and validation, aside from the NCSU world-class computational capabilities. The computer capabilities are set up for secure collaborative research and end-to-end software developments.
Website: https://www.ne.ncsu.edu/people/madiacon/

Email: madiacon@ncsu.edu

Phone: 9195153768

Address: 2500 Stinson Drive, Raleigh, NC, 27695-7909, United States
NC
 Blue Wave AI LabsJohn Gruenwald Large Business Power Generation and Energy Production: Fossil/Nuclear Blue Wave AI Labs applies various machine learning techniques including unsupervised learning, supervised learning, reinforcement learning, Generative Adversarial Networks (GANS), in a variety of ways to improve the operational efficiency and safety of Nuclear Power Generation. Blue Wave AI Labs experience includes predictive analyses for Boiling Water Reactors, component lifetime prediction, and resining useful life models for nuclear Power plant components. Blue Wave staff includes scientists and engineers with expertise in AI and power generation domain knowledge. Our offices are located near Purdue University affording the opportunity for teaming with academic experts.
Website: www.bluewaveailabs.com

Email: tom@bwailabs.com

Phone: 6306994124

Address: 3000 Kent Ave, West Lafayette, IN, 47906, United States
IN
 Berkeley Data Analytics Group, LLCRichard Huntsinger Small Business Other Energy Technologies Berkeley Data Analytics Group provides expert advice and analysis to industry and government organizations working on some of the world's hardest data-intensive business operations problems. We are affiliated with the University of California-Berkeley.

Our expertise:
• Data Science & Computational Statistics applied to Business Operations
• Nuclear Power Operations & Maintenance, Training, and Risk Assessment
• Process Optimization and Automation

Contact Dr. Richard Huntsinger (huntsinger@berkeley-data.com) or Dr. Michael Ford (ford@berkeley-data.com).
Website: www.berkeley-data.com

Email: huntsinger@berkeley-data.com

Phone: 408-219-6301

Address: 3573 W Foxes Meadow Drive, Tucson, AZ, 85745, United States
AZ
 Argonne National LaboratoryHussein Khalil Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear Argonne pioneered the application of nuclear fission for energy generation and maintains world leading capabilities for developing innovative reactor and fuel cycle systems. Areas of in-depth expertise include reactor physics, thermal hydraulics, structural mechanics, fuels and materials behavior, and reactor plant instrumentation, diagnostic and control systems. This expertise is employed to optimize the design and operation of reactors operating with a variety of neutron energy spectra, coolant types and fuel-cycle schemes.
Argonne’s nuclear energy research activities range from development and experimental validation of modeling techniques to analysis, optimization studies and codes & standards supporting design, licensing, and operation of nuclear reactor plants. Achievement of competitive economics, inherent safety and a high degree of operational autonomy has been a cornerstone of Argonne’s nuclear energy development efforts.
Argonne researchers carry out reactor design and safety analyses using integrated computer codes aimed at modeling the behavior of the entire reactor and associated engineering systems. These phenomenological models are used to simulate the steady state and transient behaviors of all the major components in a nuclear power plant, including the reactor core, the coolant systems and components, and the plant control and protection systems. Modeling capabilities are continually improved and validated to represent novel design features or demonstrate enhanced performance and safety.
Argonne researchers also develop, demonstrate and apply advanced software tools for optimizing the operation and maintenance of nuclear power plants. This software employs potentially large datasets of plant information, sophisticated data analysis techniques, as well as mechanistic (physics-based) modeling for determination or confirmation of plant system conditions. Development and use of this software leverages extensive computational science capabilities and computing hardware that includes Argonne’s leadership class supercomputers. Plant personnel can employ this software to optimize plant operation and maintenance and assist in the response to potential upsets. Argonne’s capabilities and software are thus highly relevant for ARPA-E’s interest optimizing the operation and maintenance of advanced reactor plants, enhancing flexibility in response to variation in energy demand, and significantly reducing operation & maintenance cost.
Website: www.anl.gov

Email: hkhalil@anl.gov

Phone: 6302527266

Address: 9700 S. Cass Ave, Bldg. 208, Lemont, IL, 60439, United States
IL
 Expert Microsystems, Inc.Randall Bickford Small Business Power Generation and Energy Production: Fossil/Nuclear Randy Bickford is the founder and President of Expert Microsystems, Inc. Randy is a recognized worldwide expert in predictive analytics for asset health management and prognostics. He is one of the industry’s pioneers and holds multiple patents in the areas of pattern recognition, fault detection, diagnostics, and prognostics. He is a principal architect and developer of the SureSense® software suite, which is a comprehensive AI-based reliability assurance software product deployed for predictive asset health management in the power generation, oil and gas, aerospace, military, manufacturing, electronic and industrial process control industries. Randy also led development of the Fleet-wide Prognostics and Health Management Suite software, a web-based, enterprise-scale platform for online health management of power plant asset fleets for the Electric Power Research Institute (EPRI) and its member utilities. Randy has worked widely within industry for developing best practices for advanced pattern recognition modeling; remote monitoring and diagnostic centers; and developing asset fault signatures for monitoring and diagnosing a wide range of industrial assets.
Website: www.expmicrosys.com

Email: rlb@expmicrosys.com

Phone: 916-989-2018 x502

Address: 7932 Country Trail Dr., Suite 1, Orangevale, CA, 95662, United States
CA
 GSE Performance Solutions, Inc.Bahram Meyssami Small Business Power Generation and Energy Production: Fossil/Nuclear GSE Performance Solutions is the world's largest supplier of real-time simulation software for operator training and system design and validation for the nuclear power, fossil power and process industries. Our recent history includes our selection as the simulation software provider for the NuScale, mPower, AP1000, and many US government projects and research collaborations. The academic community is also familiar with our software, making collaborations seamless. Our software has been used in research with academia and the DOE Lab complex to include human factors, plant digitalization, cyber security, procedures and other capabilities.

Our interest is to bring this vast experience to bear in additional First of a Kind reactor designs to inform the designs from a safety, design validation, and maintenance perspective.
Website: www.gses.com

Email: bahram.meyssami@gses.com

Phone: 4109707875

Address: 1332 Londontown Boulevard, Sykesville, MD, 21784, United States
MD
 Argonne National LaboratoryAlexander Heifetz Federally Funded Research and Development Center (FFRDC) Power Generation and Energy Production: Fossil/Nuclear Dr. Alexander Heifetz is currently a Principal Electrical Engineer with Plant Analysis & Control and Nondestructive Evaluation Sensors Group of the Nuclear Science and Engineering Division at Argonne National Laboratory. He received BS in Applied Math, MS in Physics, and PhD in Electrical Engineering, all from Northwestern University. Alex joined the Nuclear Engineering Division as Director’s Postdoctoral Fellow in 2008, then became an Electrical Engineer (technical staff member) , and later Principal Electrical Engineer. At Argonne, he has been involved in a wide range of projects related to nuclear energy and nuclear security. His most recent research has been sponsored by DOE-NEET (Nuclear Energy Enabling Technology) ASI (Advanced Sensors and Instrumentation), and NEET AMM (Advanced Methods in Manufacturing). Alex has published over 50 journal and conference papers (1100+ citations according to Google Scholar), and has three granted US patents, and shared the Best Paper Award at the 2019 IEEE International Conference on Electro/Information Technology (EIT 2019).
Website: https://www.anl.gov/organizations/nuclear-science-and-engineering-division

Email: aheifetz@anl.gov

Phone: 6302524429

Address: 9700 S Cass Ave, Lemont, IL, 60439-4803, United States
IL
 Georgia Institute of TechnologyDan Kotlyar Academic Power Generation and Energy Production: Fossil/Nuclear My group is actively engaged to support the nuclear industry with modeling and simulation challenges related to advanced concepts.
My interests include the design of advanced reactors for terrestrial and special purpose applications. My research in this area includes the design of various reactor types and fuel cycle options to address the issues of the current fuel cycles most efficiently, design of micro-reactors, and design of nuclear thermal propulsion systems. I am also interested to partner-up and investigate various hybrid energy systems and perform economic and market analyses, which aligns well with our expertise. My lab also develops and maintains advanced reactor physics modeling tools which are necessary to understand the operational limits and assess fuel performance, in terms of burnup and thermal hydraulic reliability, and the associated safety margins.
Website: http://pwp.gatech.edu/core/

Email: dan.kotlyar@me.gatech.edu

Phone: 404-385-5372

Address: 770 State St NW, Atlanta, GA, 30332, United States
GA
 Bruce Patton (self employed)Dr. Bruce Patton Individual Power Generation and Energy Production: Fossil/Nuclear I am an experienced Nuclear Engineer with a demonstrated history of working in the DOE nuclear lab research community. I am skilled in reactor physics and shielding. Strong modeling and simulation professional with a Doctor of Philosophy (Ph.D.) in Nuclear Engineering from the University of Michigan.

I have an extensive expertise nuclear systems modeling using both the SCALE and MCNP code packages. I have attended training in the OpenFOAM cfd code, and have basic entry level experience in its applications.

I am interested in the application of both opensource and commercial mult-physics codes with existing neutronics codes to model advanced nuclear reactors, especially molten salt reactors.
Website: https://www.linkedin.com/in/bruce-patton-12179940/

Email: PATTOBW@GMAIL.COM

Phone: 865-320-8515

Address: 1143 Oak Ridge Turnpike Ste 107A-185, Oak Ridge, TN, 37830, United States
TN
 Resolved Analytics, PLLCStewart Bible Small Business Other Energy Technologies Resolved Analytics is an employee-owned engineering firm specializing in development and application of both high fidelity and reduced order physics-based numerical models. Our support of potential partnerships will focus on developing modular computational frameworks for the modeling, optimization, and control of primary systems.
Website: www.resolvedanalytics.com

Email: info@resolvedanalytics.com

Phone: 7045599560

Address: 810 Vickers Ave, Durham, NC, 27701, United States
NC
 Advanced Reactor SolutionsAdam Scheider Small Business Power Generation and Energy Production: Fossil/Nuclear Advanced Reactor Solutions holds significant experience in the design, operations, and maintenance of light water reactors. Strengths we bring are 1. asset performance management and predictive maintenance 2. nuclear plant O&M activities. These are two of the eight areas of expertise identified in the Funding Opportunity Announcement (FOA).
Advanced Reactor Solutions has been active in the nuclear power industry over the past 20 years. We have accrued significant experience in determining critical components for maintenance and repair. We have supported numerous outages of US power plants. Additionally, we have substantial experience with system design of new power plants using US NRC regulations and Quality Assurance framework.
Our industry exposure has raised our awareness of new products that have an opportunity to offer substantial benefit if incorporated properly into system design. Due to the slow and tedious licensing process in the traditional NRC framework, new products often fall to the wayside and are left as "later revisions" or "future candidates" for design considerations. Advanced Reactor Solutions sees this FOA as an opportunity for present day designs to embrace state-of-the-art technology. This practice should optimize design for maximum benefit while balancing cost, performance, safety, and quality.
Website: www.advancedreactorsolutions.com

Email: adamscheider@yahoo.com

Phone: 7028123255

Address: 3019 E DESERT LN, Phoenix, AZ, 85042, United States
AZ
 Wayne State UniversityMurat Yildirim Academic Other Energy Technologies Murat Yildirim is an Assistant Professor of Cyber-Physical Systems in the Department of Industrial and Systems Engineering at Wayne State University. Prior to joining Wayne State, he worked as a postdoctoral fellow at the Georgia Institute of Technology (2016-2018), and obtained a Ph.D. degree in Industrial Engineering - System Informatics and Control (2016), and B.Sc. degrees in Electrical and Industrial Engineering from the same institution (2010).

Dr. Yildirim’s research interest lies in advancing the integration of mathematical programming and sensor data analytics in large scale energy systems. Specifically, he focuses on the modeling and the computational challenges arising from the integration of real-time condition monitoring inferences into large-scale mixed integer programs used for optimizing and controlling networked energy systems and networks.

Dr. Yildirim's areas of expertise are as follows:
1) Degradation modeling in complex multi-component systems with dynamic component-to-component interactions
2) Integration of degradation models into mixed integer decision optimization problems used for identifying optimal operations and maintenance decisions for multi-component and multi-asset energy systems
3) Sensor driven optimization under uncertainty - stochastic and robust optimization
Website: https://engineering.wayne.edu/profile/gr7140

Email: murat@wayne.edu

Phone: 4046473831

Address: 4815 Fourth Street,, Detroit, MI, 48201, United States
MI
 EPRIBrian Schimmoller Non-Profit Power Generation and Energy Production: Fossil/Nuclear The Electric Power Research Institute (EPRI) conducts R&D relating to the generation, delivery and use of electricity for the benefit of the public. An independent, nonprofit organization, EPRI brings together its scientists and engineers as well as experts from academia and industry to address challenges in electricity, including reliability, efficiency, affordability, health, safety and the environment. EPRI members represent 90% of the electricity generated and delivered in the United States, with international participation extending to 40 countries. EPRI’s collaborative business model provides a unique mechanism through which R&D opportunities are weighed against industry needs and challenges to accelerate technology development and deployment.

Membership in EPRI’s nuclear sector includes all U.S. commercial nuclear operators, and global participation encompasses more than 75% of the world’s nuclear units. EPRI has expertise in the areas identified in the RFI-0000038 Teaming Partner List: (i) artificial intelligence; (ii) industrial condition monitoring, asset performance management, predictive maintenance; (iii) advanced, autonomous control systems; (iv) multi-fidelity modeling and simulations; (v) robotics and remote maintenance systems; (vi) advanced reactor design; (vii) nuclear plant O&M activities; and (viii) harsh environment sensors and instrumentation.

For example, EPRI:
1. Leads a broad initiative on artificial intelligence (AI.EPRI) to collect, curate, and secure data sets for diverse AI applications in the power industry; educate operations and technical leaders on AI-related applications and issues ranging from power systems to regulatory and policy considerations; and provide a central hub for AI research, including objective evaluations and examinations of security and risks.
2. Maintains a strategic research focus on advanced nuclear energy systems to inform deployment-driven R&D; this focus includes activities on owner-operator requirements, advanced manufacturing practices, best practices for integration of safety assessment into design, and economic analyses.
3. Leads an industry effort on nuclear plant modernization to establish the technical foundation for adopting process improvements and advanced technology that can potentially reduce operating costs while maintaining plant safety and reliability; research activities include automated chemistry analysis, structural health monitoring, and digital communications.
Website: www.epri.com

Email: bschimmoller@epri.com

Phone: 7045952576

Address: 1300 West W.T. Harris Blvd., Charlotte, NC, 28262, United States
NC
 University of Central FloridaFelipe A. C. Viana Academic Power Generation: Renewable My research group is focused on fusing physics-based domain knowledge, machine learning, and multidisciplinary optimization to tackle applications in energy, propulsion, oil & gas, transportation, and others industries. Research interests include:
- Predictive analytics, diagnostics, and prognostics
- Reliability engineering and asset fleet management
- Design, manufacturing, and services of engineering assets
- Multidisciplinary optimization
Website: http://mae.ucf.edu/pml

Email: viana@ucf.edu

Phone: +1 (407) 823-5142

Address: 12760 Pegasus Blvd, Building ENG 1, Room 344, Orlando, FL, 32816-8030, United States
FL
 Framatome Inc.Farshid Shahrokhi Large Business Power Generation and Energy Production: Fossil/Nuclear Framatome is a major international actor in the nuclear energy market recognized for its innovative solutions and value-added technologies for designing, building, maintaining, and advancing the global nuclear fleet. The company designs, manufactures, and installs components, fuel and instrumentation and control systems for nuclear power plants and offers a full range of reactor services.
Advanced Reactors
Framatome is actively engaged in the development of Generation IV advanced reactors, including development of a family of high-temperature gas-cooled reactors that are passive and inherently safe using prismatic core and TRISO particle fuel. These reactors are scalable from 10MWth to 625MWth, providing high-efficiency electricity production and high-temperature steam for process heat applications.
I&C
Framatome delivers a full range of I&C solutions for the safe and reliable operation of nuclear power plants worldwide. We have decades of experience installing more than 80 safety I&C systems on 44 reactors in 17 countries, 250 automation systems previously installed by Schneider Electric, and have installed more than 300 comprehensive I&C systems in nuclear reactors of all types across the world.
Operations and Maintenance
Framatome’s capabilities include:
• Maintenance, component replacement, inspections and checks, refueling operations, and optimized management of reactor shutdowns for maintenance.
• Design, fabrication, installation and maintenance of core monitoring systems
• Virtual reality, mixed reality and augmented reality
• Robotics and specialized tooling for inspection and maintenance of nuclear plant systems, components, and fuel in harsh environments
Modeling and Simulation
Framatome’s capabilities include:
• Training simulators and engineering simulation platforms (through Framatome’s affiliate Corys)
• 3D scanning and modeling
• Analytical modeling
Testing Facilities
Framatome has a number of testing facilities and capabilities, some of which are unique in the world, for operating full-scale or scaled models to perform qualification tests of systems and components or for validating and increasing the fidelity of codes and calculations.
Interests
Teaming with organizations that have artificial intelligence, digital twin, or predictive maintenance capabilities for the upcoming ARPA-E FOA for Optimal Operations and Maintenance for Advanced Reactors.
Website: www.Framatome.com

Email: f.shahrokhi@framatome.com

Phone: 434-832-2923

Address: 3315 Old Forest Road, Lynchburg, VA, 24501, United States
VA
 Siemens Corporation, Corporate TechnologyKeryl Cosenzo Large Business Other Energy Technologies Siemens Corporation, Corporate Technology, located in Princeton, New Jersey, is one of several world-class central research and development labs within Siemens Corporate Technology. Our hundreds of research scientists and software engineers provide technological solutions to the global family of Siemens’ businesses. We also work closely with Siemens’ customers, government agencies, universities, and other organizations.
Areas of expertise are as follows:
• Operation (also remote) and development of 3D scanning devices, including data processing to extract dimensions, features (e.g., doors)
• Operation (also remote) and development of Thermographic inspection processes and software
• Maintenance planning based on the as-is digitized state of components and structures
• Reverse engineering; from point cloud to 3D feature based model
• Condition-based maintenance: condition monitoring (state estimation, forecasting, prediction), fault diagnosis and root cause analysis, reliability modeling and remaining lifetime estimation.
• Semantic modeling and artificial intelligence machine learning
• Security architecture, design and testing
• Security monitoring & attack detection / security analytics
• Cyber security
• Nuclear site condition monitoring
• Large-scale structured control design, real-time planning and reinforcement learning for advanced, autonomous control systems
• Advanced dynamical system identification to plant monitoring and on model reduction to multi-fidelity control design and planning
Website: https://new.siemens.com/global/en/company/innovation/corporate-technology.html

Email: keryl.cosenzo@siemens.com

Phone: 609-216-3853

Address: 755 College Road East, Princeton, NJ, 08540-6632, United States
NJ
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