Johannes Krotz | Computational Methods | Best Researcher Award

Dr. Johannes Krotz | Computational Methods | Best Researcher Award

Postdoctoral Fellow at Notre Dame, United States

๐Ÿ‘จโ€๐ŸŽ“ย Profiles

๐ŸŒŸSummary

๐Ÿ‘จโ€๐ŸŽ“ PhD candidate in Mathematics with a minor in Computer Science, specializing in probabilistic and data-driven methods for numerical PDEs and hybrid Monte Carlo methods for complex systems simulations. Experienced in statistical modeling, computational physics, and advanced simulations with a strong background in teaching and academic leadership. Currently working as a Postdoctoral Researcher at the University of Notre Dame.

๐ŸŽ“ย Education

๐ŸŽ“ PhD in Mathematics (Minor in CS)
University of Tennessee Knoxville, 2021โ€“2024

  • Dissertation on Probabilistic & Data-Driven Methods in Numerical PDEs
  • GPA: 4.0

๐Ÿ“Š M.Sc. in Statistics
University of Tennessee, 2022โ€“2024

  • GPA: 3.9

๐Ÿ“š M.Sc. in Mathematics
Oregon State University, 2019โ€“2021

  • GPA: 4.0

โš›๏ธ M.Sc. in Physics
University of Konstanz, 2015โ€“2019

  • GPA: 4.0 (Honors)

๐Ÿ”ข B.Sc. in Mathematics & Physics
University of Konstanz, 2012โ€“2018

  • GPA: 3.5 (Mathematics), 3.3 (Physics)

๐Ÿ’ผย Professional Experience

๐Ÿ”ฌ Postdoctoral Researcher
University of Notre Dame, 2024โ€“Present

  • Research on hybrid Monte Carlo & deterministic kinetic transport algorithms for exascale simulations in neutron transport.

๐Ÿง‘โ€๐Ÿ’ป Graduate Research Assistant (GRA)
University of Tennessee/ORNL, 2023โ€“2024

  • Advancing dynamic likelihood filters for stochastic advection-diffusion equations in collaboration with ORNL and UTK.

๐Ÿ’ผ Research Intern
Oak Ridge National Lab (ORNL), 2021โ€“2022

  • Developed hybrid algorithms for simulating complex particle systems in 2D & 3D.

๐ŸŒ Research Intern
Los Alamos National Lab (LANL), 2020

  • Focus on high-fidelity discrete fracture networks and Poisson-disk sampling algorithms for triangulations.

๐Ÿ”ฌย Research Interests

  • ๐Ÿง  Computational Mathematics: Hybrid Monte Carlo methods, kinetic transport equations, and numerical simulations for complex physical systems.
  • ๐Ÿ” Stochastic Processes: Advanced data-driven filtering techniques and applications in fluid dynamics, advection-diffusion, and PDEs.
  • ๐Ÿ’ป Statistical Modeling: Development of methods for high-dimensional data and stochastic modeling.
  • ๐ŸŒ Interdisciplinary Work: Collaborating across fields of mathematics, physics, and engineering to tackle real-world computational challenges.

๐Ÿ† Awards

  • 1st & 3rd place at the UTK SIAM Research Showcase (2023, 2024)
  • Randall E. Cline Award (2022) for research excellence

๐Ÿ–ฅ Technical Skills

  • Python, C++, R, Matlab, LATEX, and more
  • Basic Fortran, AWK

๐Ÿ”— Professional Memberships

  • SIAM, AWM, AAAS, UCW

ย Publications

A Hybrid Monte Carlo, Discontinuous Galerkin Method for Linear Kinetic Transport Equations

  • Authors: Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
  • Journal: Journal of Computational Physics, Vol. 514
  • Year: 2024
Variable Resolution Poisson-Disk Sampling for Meshing Discrete Fracture Networks
  • Authors: Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable
  • Journal: Journal of Computational and Applied Mathematics, Vol. 407
  • Year: 2022
Dynamic Likelihood Filters for Advection Diffusion Equations
  • Authors: Johannes Krotz, Jorge M. Ramires, Juan M. Restrepo
  • Journal: The Monthly Weather Review
  • Year: Under review
Minimizing Effects of the Kalman Gain on Posterior Covariance Eigenvalues, the Characteristic Polynomial and Symmetric Polynomials of Eigenvalues
  • Authors: Johannes Krotz
  • Journal: Arxiv (preprint)
  • Year: 2024

 

 

 

Muhammad Abubaker | Computational Methods | Best Researcher Award

Mr. Muhammad Abubaker | Computational Methods | Best Researcher Award

PhD Scholar at Kyungpook National University, South Korea

Muhammad Abubaker is a dedicated researcher and Ph.D. candidate at Kyungpook National University (KNU), South Korea, specializing in computational fluid dynamics (CFD) and energy systems. His research primarily focuses on the Lattice Boltzmann Method (LBM) for simulating fluid dynamics, particularly in lithium-ion batteries, thermal management of electric vehicle (EV) batteries, and energy harvesting systems.

๐ŸŽ“Profile

๐Ÿง‘โ€๐ŸŽ“ Early Academic Pursuits

Muhammad Abubaker’s academic journey has been marked by a strong foundation in Mechanical Engineering, starting with his undergraduate studies at Bahauddin Zakariya University, Multan, Pakistan, where he completed his B.Sc. in Mechanical Engineering. His early interest in thermal systems engineering was reflected in his M.Sc. at the University of Engineering and Technology, Taxila, where he researched the effect of vapor velocity on condensate retention on pin-fin tubes, a crucial study for improving heat transfer systems. His academic excellence during these years was recognized with multiple scholarships, including the MSc Scholarship from UET Taxila and later, the prestigious Ph.D. Kings Scholarship at Kyungpook National University, South Korea.

๐Ÿ’ผ Professional Endeavors

Abubakerโ€™s professional journey includes a rich teaching career as a Lecturer at COMSATS University Islamabad, Sahiwal, Pakistan, where he taught courses on Thermodynamics, Fluid Mechanics, Power Plants, and Renewable Energy Technologies. His commitment to teaching excellence was reflected in his design of outcome-based education (OBE) courses, as well as his innovative hands-on approach to learning through semester projects on heat exchangers, power plant schematics, and aeroplane models. His contributions to curriculum design and ISO compliance further demonstrate his leadership within academia.

๐Ÿงช Contributions and Research Focus

Muhammad Abubakerโ€™s primary research focus is in the development and application of Lattice Boltzmann Method (LBM) for simulating complex multicomponent fluid dynamics in various systems. His work on Li-ion battery wettability is groundbreaking, as it addresses key challenges in battery performance and safety. Through his innovative use of LBM, he has investigated the electrolyte wetting behavior in lithium-ion batteries, offering insights into optimizing battery designs for better performance and longevity.

Abubaker is also focused on thermal management of electric vehicle (EV) batteriesโ€”a crucial aspect of improving EV performance and energy efficiency. His research into thermal LBM in porous media and energy harvesting systems, such as solar panels and flexible structures, aims to push the boundaries of energy conversion and sustainability. His work on energy systems, particularly in solar energy technology and energy harvesters, is a testament to his commitment to advancing green energy solutions.

๐ŸŒ Impact and Influence

Abubaker’s research has had significant impact, particularly in the field of energy storage and battery technology, with implications for industries ranging from automotive to consumer electronics. His work on battery electrode-electrolyte interfaces is helping solve critical issues related to wettability and ion transport, thereby contributing to the development of more efficient and durable lithium-ion batteries.

๐Ÿ“š Academic Cites and Scholarly Contributions

Abubaker’s academic contributions are well-recognized in the scholarly community, as evidenced by his numerous journal publications in highly regarded peer-reviewed journals, such as Energy Reports, Thermal Science, and Applied Thermal Engineering. His Google Scholar Profile highlights the growing recognition of his work, with citations that underscore the relevance and impact of his research. Notable papers such as “Wetting Performance Analysis of Porosity Distribution in NMC111 Layered Electrodes in Li-Ion Batteries” and “Wetting Characteristics of Li-ion Battery Electrodes” have made significant strides in advancing battery technology and thermal management.

โš™๏ธ Technical Skills

Abubaker is highly proficient in advanced computational techniques and tools essential for modern engineering and energy research. His technical skills in Lattice Boltzmann Method (LBM), COMSOL Multiphysics, Ansys, ICEM CFD, C++, and CUDA for parallel processing make him an expert in simulating and modeling complex systems. These skills are crucial for his work in energy harvesting, thermal systems, and fluid dynamics, particularly in the context of Li-ion battery performance, fluid-solid interaction, and energy conversion systems.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience and Mentorship

Abubaker’s academic career is not only defined by his research but also by his dedication to teaching and mentoring students. As a Lecturer, he developed and implemented Outcome-Based Education (OBE) courses, designed course assessments, and introduced hands-on project-based learning for students. His experience in mentoring final-year projects (including topics like PV panel cooling and ground-coupled heat exchangers) reflects his ability to guide students through complex engineering challenges.

๐Ÿ”ฎ Legacy and Future Contributions

Muhammad Abubaker is well on his way to leaving a lasting legacy in the fields of energy systems, thermal management, and computational fluid dynamics. His innovative use of Lattice Boltzmann Methods in energy storage and battery systems is paving the way for advancements in battery technology and electric vehicle efficiency.Looking ahead, his future contributions could play a pivotal role in addressing the global need for sustainable energy solutions. His ongoing work on energy harvesting and thermal systems optimization could lead to more efficient renewable energy technologies that are critical for a sustainable future.

๐Ÿ“–Publication Top Notes