Data Scientist
Data Scientist


Adam Attarian is an applied mathematician and data scientist at Pacific Northwest National Laboratory (PNNL) who works on diverse national security problems across many domains. His current research areas encompass geospatial analysis, computer vision, intelligence analysis, and mathematical modeling. Prior interest areas include radio-frequency systems and design, game theory, and autonomous systems. Attarian works to bring quantitative methods to domains and missions that have primarily been served by qualitative approaches.

Prior to PNNL, Attarian worked as a technical staff for six years at the Massachusetts Institute of Technology Lincoln Laboratory. As a member of the Advanced Concepts and Technology group within the Air and Missile Defense division, he worked primarily in developing classification and discrimination algorithms successfully applied to large tactically collected data sets. He also worked on programs leveraging differential game and control theory applied to pursuer-evader games relevant to real-world scenarios. Lastly, he worked on several internally funded autonomy initiatives involving decentralized multi-agent control and autonomous agent policy optimization briefings.

Research Interest

  • Artificial intelligence and machine learning
  • Export control
  • Geospatial intelligence
  • Numerical analysis
  • Inverse problems and nonlinear estimation
  • Data science and inference
  • Algorithm design
  • Optimal control and industrial mathematics


  • PhD in applied mathematics, North Carolina State University, 2012
  • MS in applied mathematics, North Carolina State University, 2009
  • BS in applied mathematics, North Carolina State University, 2007
  • BS in electrical and electronics engineering, North Carolina State University, 2007
  • Expert proficiency
    • MATLAB, LATEX, and UNIX Systems
  • Beginner proficiency
    • Julia, Python, C, C++, and Java

Affiliations and Professional Service

  • Institute of Electrical and Electronics Engineers
  • Society for Industrial and Applied Mathematics


  • Ives, R. L., H. T. Tran, T. Bui, A. Attarian, W. Tallis, J. David, V. Forstall, C. Andujar, N. T. Blach, Brown, David B., S. E. Gadson, E. M. K. Kiley, and M. Read. "Electron Gun for a Multiple Beam Klystron with Magnetic Compression of the Electron Beams". US Patent 8.547.006, filed February 12, 2010, and issued October 1, 2013.



  • Arthur, J., A. Attarian, F. Hamilton, H. Tran, “Nonlinear Kalman Filtering for Censored Observations,” In preprint, available on the Arxiv, 13 February 2017.


  • Attarian, A. “Ship-Based Non-Cooperative Target Recognition: Algorithms and Performance,” In Proceedings from the Military Sensing Symposia Battlefield Survivability & Discrimination Conference, Gaithersburg, MD, 812 September 2014. This publication is classified.


  • Attarian, A., G. Denis, J. Gronsbell, G. Iervolino, H. Tran, “A Comparison of Feature Selection and Classification Algorithms in Identifying Baseball Pitches,” In S. I. Ao, O. Castillo, C. Douglas (eds) Proc. of the Int. Multi-Conference of Engineers and Computer Scientists, 13–15 March, 2013, Hong Kong, pp. 263268.
  • Attarian, A., G. Denis, J. Gronsbell, G. Iervolino, L. Layne, D. Padgett and H. Tran, “Baseball Pitch Classification: A Bayesian Method and Dimension Reduction Investigation,” IAENG Transactions on Engineering Sciences, Special Issue of the Int. Multiconference of Engineers and Computer Scientists 2013 and World Congress on Engineering 2013, pp 393399.
  • Attarian, A., J. Batzel, B. Matzuka, H. Tran, “Application of the Unscented Kalman Filtering to Parameter Estimation”. In: J. Batzel, M. Bachar, F. Kappel (eds.) Mathematical Modeling and Validation in Physiology, Lecture Notes in Mathematics, pp. 7588. Springer Berlin Heidelberg (2013). DOI: 978-3-642-32882-44.


  • Ives, R.L., M. Read,T. Bui, A. Attarian, W. Tallis, V. Forstall, C. Andujar, H. Tran, “Optimization for the design of electron guns,” 2010 Abstracts IEEE International Conference on Plasma Science, 2024 June 2010. DOI:10.1109/PLASMA.2010.5534443.
  • Ives, R.L., A. Attarian, W. Tallis, T. Bui, H. Tran, et al, “Design of Doubly Convergent Multiple- Beam Electron Guns,” in IEEE Transactions on Plasma Science, 38(6) 2010, pp 13371344. DOI: 10.1109/TPS.2010.2046501.


  • Ives, R.L., A. Attarian, T. Bui, M. Read, J. David, and H. Tran, “Computational Design of Asymmet- ric Electron Beam Devices,” in IEEE Transactions on Electron Devices, 56(5) May 2009, pp 753–761. DOI: 10.1109/TED.2009.2015421.
  • Draper, A. Attarian, M.V Evans, K. A Yokley, et al, “Feasibility of metabolic parameter estimation in pharmacokinetic models of carbon tetrachloride exposure in rats,” in Toxicological and Environmental Chemistry, 91(3), April 2009, pp 521–546. DOI: 10.1080/02772240802214530.
  • Bui, T., R.L. Ives; A. Attarian; J. David; H. Tran; M. Posth, “An optimizer for Beam Optics Analyzer,” Vacuum Electronics Conference, 2009. IEEE International IVEC ’09 pp 561,562, 28–30 April 2009. DOI: 10.1109/IVELEC.2009.5193468.


  • Ives, R.L., A. Attarian, T. Bui, H. Tran, et al, “Implementation of computer optimization for design of electron guns,” in IEEE International Conference on Infrared, Millimeter, and Terahertz Waves, 2008, 1519 Sept. 2008, pp 1-2. DOI: 10.1109/ICIMW.2008.4665480.
  • Fink, M., A. Attarian, and H. Tran, “Subset selection for parameter estimation in an HIV model,” in ICIAM07 Minisymposia — 12 Bio-Mathematics, August 2008. DOI: 10.1002/pamm.200700319.
  • Ives, R.L., A. Attarian, T. Bui, M. Read, J. David, and H. Tran, “Computer-optimized design of electron guns,” in IEEE International Vacuum Electronics Conference, 2224 April 2008, pp 453454. DOI: 10.1109/IVELEC.2008.4556399.