Curriculum Vitae

Adam J. Sierakowski, Ph.D.
Associate Research Scientist
Hopkins Extreme Materials Institute (HEMI) Fellow
The Johns Hopkins University
3400 N. Charles Street
Baltimore, MD 21218

Phone: 443-465-5710
Email: sierakowski@jhu.edu
Web: AJSierakowski.dev

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

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)
    • $1M budget
    • Lead a team of four staff and student developers
    • Technical components: Apache, Amazon Web Services, ASGI, CSS, Django, Git, HTTP, InCommon, JavaScript, Python, Shibboleth, SQL, WSGI
  • Azure for scientific research – Institute liaison and technical lead, 2020 – present
    • Leading the adoption of cloud computing at the Hopkins Extreme Materials Institute
    • Translate between researchers’ scientific needs and IT professionals’ technical needs
    • Provide direct systems and software engineering support to researchers
    • Technical components: Microsoft Azure
  • 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
  • CMRL UQ-PHCM portal – Architect and project lead, 2020 – present
    • Design and construct a web portal for the creation and distribution of custom UMAT file binaries that incorporate the Uncertainty Quantified Parametrically Homogenized Constitutive Models (UQ-PHCM)
    • Continuous deployment
    • Technical components: Apache, Azure, CSS, Django, Docker, Git, HTTP, MariaDB, Python, WSGI
  • 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

Research Experience

  • Associate Research Scientist, Hopkins Extreme Materials Institute, Johns Hopkins University, 2019 – 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 software development and support, Johns Hopkins University (2016 – 2020)
      • Computational Mechanics Research Laboratory, Johns Hopkins University (2016 – 2020): HPC application development support
  • Assistant Research Scientist, Hopkins Extreme Materials Institute, Johns Hopkins University, 2016 – 2019
    • 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 – 2020):
        • 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 – 2020): HPC application development support
      • Prosperetti Research Group, University of Houston (2016 – 2019): 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

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

Publications

  • (7) D.P. Willen and A.J. Sierakowski, Resolved particle simulations using the Physalis method on many GPUs, Comput. Phys. Comm. 250 (2020) 107071, doi.org/10.1016/j.cpc.2019.107071
  • (6) Y. Wang, A.J. Sierakowski, A. Prosperetti, Rotational dynamics of a particle in a turbulent stream, Phys. Rev. Fluids 4 (2019) 064304, doi.org/10.1103/PhysRevFluids.4.064304
  • (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. Sierakowski, GPU-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. Sierakowski, Numerical 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. Sierakowski, Crædl: 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. Sierakowski, Numerical 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. Sierakowski, Validation 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. Sierakowski, Experimental validation of particle-resolved computational fluid dynamics simulations, Mechanical Engineering Graduate Student Fluids Seminar Series, Johns Hopkins University, 24 April 2015
  • A.J. Sierakowski, Leveraging 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. Sierakowski, Particle 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. Sierakowski, Physalis: 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