Curriculum Vitae

Adam J. Sierakowski, Ph.D.
Assistant Research Scientist
Hopkins Extreme Materials Institute (HEMI)
Maryland Advanced Research Computing Center (MARCC)
The Johns Hopkins University
123 Malone Hall
3400 N. Charles Street
Baltimore, MD 21218

Phone: 410-516-0360
Email: sierakowski@jhu.edu
Web: AJSierakowski.org

Education

  • Ph.D. Mechanical Engineering, Johns Hopkins University, 2016
  • M.S. Mechanical Engineering, Johns Hopkins University, 2015
  • B.S. Mechanical Engineering (Aerospace Concentration, Mathematics Minor), Johns Hopkins University, 2010

Research Experience

  • Assistant Research Scientist, Hopkins Extreme Materials Institute, Johns Hopkins University, 2016 – present
    • Focus: Development of scientific high-performance computing and research data management applications
    • Responsibilities:
      • Hopkins Extreme Materials Institute, Johns Hopkins University (2016 – present): research data management system design, development, and administration
      • MARCC user education and support, Johns Hopkins University (2016 – present):
        • Design and implementation of new scientific computing curricula for HPC user education
        • Direct user scientific computing support (remote and in-person)
        • Application development consulting
      • Computational Mechanics Research Laboratory, Johns Hopkins University (2016 – present): HPC application development support
      • Prosperetti Research Group, University of Houston (2016 – present): HPC/GPU application design and development; physical system analysis consultation
  • Ph.D. Student, Mechanical Engineering Department, Johns Hopkins University, 2011 – 2016
    • Advisor: Professor Andrea Prosperetti
    • Focus: Computational fluid dynamics, resolved-particle disperse two-phase flows, high-performance GPU computing, constitutive modeling of complex systems
    • Major responsibilities: Design, develop, and apply a new implementation of a GPU-centric resolved-particle disperse two-phase flow simulation tool (Bluebottle); design, build, and administer a multi-user four-node in-house GPU computing cluster
    • Minor responsibilities: Mentor two junior Ph.D. students, assist with grant proposal preparation
    • Collaborations:
      • Professor Luca Brandt, Linné FLOW Centre, Department of Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden (2015): Development of a GPU/OMP/MPI high-performance flow solver
      • Laura Lukassen, Ph.D., The Graduate School of Excellence Computational Engineering, Technische Universität Darmstadt, Darmstadt, Germany (2013 – 2016): Investigation of shear-induced diffusion using Bluebottle
  • Summer Intern, Johns Hopkins University Applied Physics Laboratory, 2008 – 2012
    • Mentor: Matthew Lear, Ph.D.
    • Focus: Fluid dynamics, fluid-structure interaction, GPU computing
    • Responsibilities: Contribute to and applied SPHear, a smoothed-particle hydrodynamics (SPH) finite-element interaction computer simulation code

Academic Software Engineering

  • Craedl – Architect and project lead – (Craedl.org), 2016 – present
    • Craedl (the Collaborative Research Administration Environment and Data Library) is an academic research data management service (researcher project management, large file sharing, data collaboration and discovery, research documentation, institution management)
    • Lead a team of four staff and student developers
    • Technical components: Apache, ASGI, CSS, Django, Git, HTTP, JavaScript, Python, SQL, WSGI
  • Bluebottle – Architect and project lead – (PhysalisCFD.org), 2011 – present
    • An open-source many GPU finite-difference resolved-particle disperse two-phase flow solver
    • Advised a Johns Hopkins University Ph.D. student in the extension of Bluebottle from one to many GPUs
    • Technical components: C, Cuda, Git, Python
  • CMEDE proposal tool overhaul – Project lead, 2017
    • Overhaul of a web-based tool for soliciting and reviewing internal grant proposals for CMEDE
    • Technical components: PHP, WordPress
  • SPHear – Contributor, 2008 – 2012

Systems Engineering

Teaching Experience

  • Courses Taught:
  • Courses Assisted:
    • Graduate Fluid Dynamics, Johns Hopkins University, Fall 2012, Fall 2013
    • Undergraduate Heat Transfer, Johns Hopkins University, Spring 2012, Fall 2013
    • Freshman Experiences in Mechanical Engineering, Johns Hopkins University, Fall 2011, Spring 2010, Fall 2009, Spring 2009, Fall 2008
  • STEM Outreach:
    • Judge for the Mount Royal Elementary/Middle School Science Fair, Baltimore City, 2015 – 2017
    • Hopkins Engineering Innovation Special Lecture – Presented a lecture about fluid mechanics to high school seniors attending the Hopkins Engineering Innovation summer program, 2015 – 2017
    • Hopkins Engineering Innovation Special Topics Day – Developed and presented an interactive lecture about parallel computing to high school seniors attending the Hopkins Engineering Innovation summer program, 2014 – 2018
    • Judge for the Maryland Science Olympiad, 2014
    • Western High School interactive lessons – Developed and presented an interactive lesson about parallel programming to many small groups of students in a physics class at Western High School in Baltimore City, 2013

Research Grants

  • CMEDE Research Grant Recipient, 2019
  • CMEDE Research Grant Recipient, 2018
  • Nvidia Academic Hardware Grant Recipient, 2016

Publications

  • (5) D.P. Willen, A.J. Sierakowski, G. Zhou, and A. Prosperetti, Continuity waves in resolved-particle simulations of fluidized beds, Phys. Rev. Fluids 2 (2017) 114305, doi.org/10.1103/PhysRevFluids.2.114305
  • (4) Y. Wang, A.J. Sierakowski, and A. Prosperetti, Fully resolved simulation of particulate flows with particles-fluid heat transfer, J. Comput. Phys. 350 (2017) 638-656, doi.org/10.1016/j.jcp.2017.07.044
  • (3) A.J. SierakowskiGPU-centric resolved-particle disperse two-phase flow simulation using the Physalis method, Comput. Phys. Comm. 207 (2016) 24-34, doi.org/10.1016/j.cpc.2016.05.006
  • (2) A.J. SierakowskiNumerical simulation of disperse particle flows on a graphics processing unit, Ph.D. thesis (2016), download
  • (1) A.J. Sierakowski and A. Prosperetti, Resolved-particle simulation by the Physalis method: Enhancements and new capabilities, J. Comput. Phys. 309 (2016) 164-184, doi.org/10.1016/j.jcp.2015.12.057

Presentations and Posters

  • A.J. SierakowskiCrædl: Collaborative Research Administration Environment and Data Library, 2017 Research Data Management Implementations Workshop, Arlington, VA, 14-15 September 2017
  • A.J. Sierakowski and L.J. Lukassen, Closing the reduced position-space Fokker-Planck equation for shear-induced diffusion using the Physalis method, American Physical Society Division of Fluid Dynamics Meeting, Portland, OR, 20-22 November 2016
  • Y. Wang, A.J. Sierakowski, and A. Prosperetti, Fully-resolved simulation of particle rotation in a turbulent flow, American Physical Society Division of Fluid Dynamics Meeting, Portland, OR, 20-22 November 2016
  • D. Willen, A.J. Sierakowski, and A. Prosperetti, Continuity waves in fully resolved simulations of settling particles, American Physical Society Division of Fluid Dynamics Meeting, Portland, OR, 20-22 November 2016
  • A.J. SierakowskiNumerical simulation of disperse particle flows on a graphics processing unit, Center for Compressible Multiphase Turbulence, University of Florida, 14 March 2016
  • A.J. Sierakowski, Numerical simulation of disperse particle flows on a graphics processing unit, Ph.D. thesis defense, Baltimore, MD, 10 March 2016
  • A.J. SierakowskiValidation of a Hertzian contact model with nonlinear damping, American Physical Society Division of Fluid Dynamics Meeting, Boston, MA, 22-24 November 2015
  • D. Willen, A.J. Sierakowski, and A. Prosperetti, Fully resolved simulations of 2,000 fluidized particles, American Physical Society Division of Fluid Dynamics Meeting, Boston, MA, 22-24 November 2015
  • A.J. SierakowskiExperimental validation of particle-resolved computational fluid dynamics simulations, Mechanical Engineering Graduate Student Fluids Seminar Series, Johns Hopkins University, 24 April 2015
  • A.J. SierakowskiLeveraging GPUs for high-fidelity disperse particle flows, Linné FLOW Centre, Department of Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden, 22 January 2015
  • A.J. Sierakowski and A. Prosperetti, Fully resolved simulations of particle sedimentation, American Physical Society Division of Fluid Dynamics Meeting, San Francisco, CA, 23-25 November 2014
  • A.J. SierakowskiParticle interactions in particle-resolved computational simulations, Mechanical Engineering Graduate Student Fluids Seminar Series, Johns Hopkins University, 3 October 2014
  • A.J. Sierakowski and A. Prosperetti, Making Physalis viable: Lessons in GPU computing, Second International Conference on Numerical Methods in Multiphase Flows, Darmstadt, Germany, 30 June – 2 July 2014
  • A. Prosperetti and A.J. SierakowskiPhysalis: A method for fully resolved particulate flows, Second International Conference on Numerical Methods in Multiphase Flows, Darmstadt, Germany, 30 June – 2 July 2014
  • L. Lukassen, A.J. Sierakowski, and M. Oberlack, Numerical parameter determinatoion for a new Fokker-Planck approach for shear-induced diffusion of non-Brownian particles using particle DNS, Second International Conference on Numerical Methods in Multiphase Flows, Darmstadt, Germany, 30 June – 2 July 2014
  • A.J. Sierakowski and A. Prosperetti, Fully resolving particulate flows, CEAFM-Burgers Research Symposium, University of Maryland College Part, 28 May 2014
  • A.J. Sierakowski and A. Prosperetti, Harnessing GPUs to overcome conventional fluid-particle interaction simulation limitations, GPU Technology Conference, San Jose, CA, 24-27 March 2014
  • A.J. Sierakowski and A. Prosperetti, The effect of particle rotation in multi-particle flow simulations, American Physical Society Division of Fluid Dynamics Meeting, Pittsburgh, PA, 24-26 November 2013
  • A.J. Sierakowski and A. Prosperetti, Working towards disperse two-phase flow ensemble averaging, Mechanical Engineering Graduate Student Fluids Seminar Series, Johns Hopkins University, 8 November 2013
  • A.J. Sierakowski and A. Prosperetti, GPU-centric parallelization of particle-laden flow using the Physalis method, Mechanical Engineering Graduate Student Fluids Seminar Series, Johns Hopkins University, 15 March 2013
  • A.J. Sierakowski and A. Prosperetti, Gerris: The groundwork for Physalis and turbulent disperse two-phase flows, Mechanical Engineering Graduate Student Fluids Seminar Series, Johns Hopkins University, 28 October 2011

Awards and Honors

  • National Science Foundation Modeling Complex Systems Integrative Graduate Education and Research Traineeship (IGERT) Fellow, 2011 – 2015
  • Creel Family Teaching Assistant Award, Department of Mechanical Engineering, Johns Hopkins University, 2013
  • Creel Family Teaching Assistant Award, Department of Mechanical Engineering, Johns Hopkins University, 2010
  • Tau Beta Pi National Engineering Honor Society, Johns Hopkins University, 2010
  • Pi Tau Sigma Mechanical Engineering Honor Society, Johns Hopkins University, 2009
  • Bloomberg Fellow, Johns Hopkins University, 2006 – 2010

Peer-Review Journal Service

  • American Society of Mechanical Engineers IMECE Conference, June 2016
  • International Journal of Multiphase Flow, January 2015
  • Journal of Computational Physics, August 2014, January 2016, October 2016 (2)

Other

  • USA Triathlon All-American Honors – 2007, 2013, 2014, 2015