Data Scientist
Data Scientist

Biography

Dr. Arun Veeramany brings a rare combination of systems-level engineering rigor and data science innovation to PNNL’s most complex infrastructure challenges. His ability to modernize legacy codebases, deploy predictive analytics at the edge, and mentor teams through high-risk technical transitions exemplifies the strategic vision expected of a Senior Data Scientist. Arun isn’t just leading projects—he’s laying the foundation for scalable, resilient solutions across the lab’s mission areas.

Research Interest

  • Risk
  • Reliability
  • Resilience
  • Data Science

Disciplines and Skills

  • Artificial Intelligence
  • Computing and Visual Analytics
  • High-performance Computing (HPC)
  • Hydrogen Storage
  • Linux
  • Machine Learning
  • Mentoring
  • Modeling and Simulation
  • Power System Studies
  • Project Management
  • Project Risk
  • Reliability Modeling
  • Resilience Systems
  • Risk Analysis
  • SQL
  • Visualization

Education

  • PhD in Civil Engineering, University of Waterloo
  • MS in Applied Mathematics, Osmania University
  • BS in Mathematics, Osmania University

Affiliations and Professional Service

  • Editorial Board Member, Journal of Risk and Uncertainty in Engineering Systems Part A: Civil Engineering and Part B: Mechanical Engineering, American Society of Civil Engineers-American Society of Mechanical Engineers (2022–Present)
  • Executive Committee Member, Safety Engineering, Risk, Reliability and Risk Analysis Division, American Society of Mechanical Engineers

Awards and Recognitions

  • Outstanding Performance Award (OPA) in recognition of exceptional contributions to the Grid Optimization (GO) Competition as a Task Manager in 2019.
  • Outstanding Performance Award for demonstrating excellent judgment and support for PNNL's policy regarding the protection of intellectual property (IP) belonging to the Department of Energy.
  • Outstanding Performance Award for surpassing expectations in dealing with uncertainties and challenges facing the project including delayed funding, hesitation from the client to share timely information and an extremely limited budget for the development of high-impact, low-frequency (HILF) seismic risk assessment tool for the power grid developed as part of the DCAT-West project.
  • Outstanding Performance Award based upon continued performance, and over and above expectations, on a set of transactive valuation projects supporting the larger Grid Multi-laboratory Consortium (GMLC).
  • Copyright - 30827-581 - Methodology for Risk-informed O&M decision making in power plants

Patents

Publications

2024

2023

  • Aravena Solis I., D. Molzahn, S. Zhang, C. Petra, F. Curtis, S. Tu, and A. Wachter, et al. 2023. "Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition." Operations Research 71, no. 6:1997 - 2014. PNNL-SA-188540. doi:10.1287/opre.2022.0315
  • Francis C.B., S. Poudel, A. Veeramany, and A.P. Reiman. 2023. "A Novel Ranking Algorithm for Topology Identification in Power Distribution Systems." In IEEE Power & Energy Society General Meeting (PESGM 2023), July 16-20, 2023, Orlando, FL, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-179785. doi:10.1109/PESGM52003.2023.10252471

2022

  • Pourgol-Mohammad M., A. Veeramany, and B. Ayyub. 2022. "Special Section on Risk, Resilience and Reliability for Autonomous Vehicle Technologies: Trend, Techniques and Challenges." ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering 8, no. 3:Art. No. 030301. PNNL-SA-170997. doi:10.1115/1.4054384
  • Veeramany A. 2022. Large-scale Hydrogen Storage - Risk Assessment Seattle City Light and Port of Seattle - CRADA 554 (Abstract). PNNL-33678. Richland, WA: Pacific Northwest National Laboratory. Large-scale Hydrogen Storage - Risk Assessment Seattle City Light and Port of Seattle - CRADA 554 (Abstract)

2020

  • Unwin S.D., D. Calderin Morales, B.C. Simpson, C.J. Spitz, A. Veeramany, J.A. Gastelum, and C.T. Maloney. 2020. "An Improved Risk Priority Measure for the Management of Project Risk." In ASME 2020 International Mechanical Engineering Congress and Exposition IMECE2020, November 16-19, 2020, Virtual, Online, 14, Paper No: IMECE2020-23917, V014T14A019. New York, New York:ASME. PNNL-SA-152881. doi:10.1115/IMECE2020-23917

2019

  • Veeramany A., W.J. Hutton, S. Sridhar, S.G. Gourisetti, G.A. Coles, and P.M. Skare. 2019. "A Framework for Development of Risk-Informed Autonomous Adaptive Cyber Controller." Journal of Computing and Information Science in Engineering 19, no. 4. PNNL-SA-129745. doi:10.1115/1.4043040

2018

  • Veeramany A., G.A. Coles, S.D. Unwin, J.E. Dagle, and T.B. Nguyen. 2018. "Trial Implementation of a Multihazard Risk Assessment Framework for High-Impact Low-Frequency Power Grid Events." IEEE Systems Journal 12, no. 4:3807-3815. PNNL-SA-124609. doi:10.1109/JSYST.2017.2737993
  • Veeramany A., J.T. Woodward, and D.J. Hammerstrom. 2018. "An Approach to Uncertainty Identification in the Valuation of Transactive Energy Systems." ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering 4, no. 4:Article No. 041005; Paper No: RISK-17-1064. PNNL-SA-126349. doi:10.1115/1.4039465

2017

  • Veeramany A., D.J. Hammerstrom, J.T. Woodward, and J.G. O'Brien. 2017. "Addressing Risk in the Valuation of Energy Systems." In Proceedings of the ASME 2017 Power and Energy Conference, June 26-30, 2017, Charlotte, North Carolina, 2, V002T10A002; Paper No. POWER-ICOPE2017-3526. New York, New York:ASME. PNNL-SA-122514. doi:10.1115/POWER-ICOPE2017-3526
  • Widergren S.E., D.J. Hammerstrom, Q. Huang, K. Kalsi, J. Lian, A. Makhmalbaf, and T.E. McDermott, et al. 2017. Transactive Systems Simulation and Valuation Platform Trial Analysis. PNNL-26409. Richland, WA: Pacific Northwest National Laboratory. doi:10.2172/1379448.Transactive Systems Simulation and Valuation Platform Trial Analysis

2016

  • Ramuhalli P., A. Veeramany, C.A. Bonebrake, W.J. Ivans, G.A. Coles, and E.H. Hirt. 2016. "Evaluation of Enhanced Risk Monitors for Use on Advanced Reactors." In 24th International Conference on Nuclear Engineering (ICONE24), June 26-30, 2016, Charlotte, North Carolina, V004T14A003; ICONE24-60040. New York, New York:ASME. PNNL-SA-115283. doi:10.1115/ICONE24-60040
  • Veeramany A., G.A. Coles, S.D. Unwin, T.B. Nguyen, and J.E. Dagle. 2016. Trial Implementation of the High-Impact, Low-Frequency Power Grid Event Risk Framework to Support Informed Decision-Making. PNNL-25667. Richland, WA: Pacific Northwest National Laboratory. Trial Implementation of the High-Impact, Low-Frequency Power Grid Event Risk Framework to Support Informed Decision-Making
  • Veeramany A., S.D. Unwin, G.A. Coles, J.E. Dagle, W. Millard, J. Yao, and C.S. Glantz, et al. 2016. "Framework for Modeling High-Impact, Low-Frequency Power Grid Events to Support Risk-Informed Decisions." International Journal of Disaster Risk Reduction 18. PNNL-SA-115402. doi:10.1016/j.ijdrr.2016.06.008