Mookwon Seo, PhD

Results-driven Embedded Software Engineer with a PhD in Mathematics, 8+ years of experience developing real-time embedded control systems, motor control algorithms, and firmware for hardware interfaces. Expertise in C/C++, bare-metal programming, and PCB design, with a proven record of optimizing performance and enhancing reliability in embedded applications.

TECHNICAL SKILLS

  • Programming Languages: Python, SQL, Julia, C/C++, C#.NET WPF, CUDA, MATLAB
  • Embedded Tools: IAR Embedded Workbench, STM32, ARM Cortex, Bare-metal firmware
  • Hardware: PCB Design (Altium Designer), Microcontrollers, Motor Controllers, Sensors
  • Protocols: UARTS, I2C, SPI, RS232
  • Simulation Tools: OpenFAST, OWENS, Matlab/Simulink
  • Modeling & Optimization: Mathematical Modeling, Optimization, Sequential Quadratic Programming (SQP), Parallel computing (GPU, multi-threading), Machine Learning, Scikit-Learn
  • Physics Simulation: Rigid body dynamics, 6 DOF simulation, Aerodynamics simulation, Fluid simulation
  • Cloud Service: Azure, Git

EXPERIENCE

Airloom Energy2016 – Present

Modeling and simulation, data acquisition, and reconciliation for an innovative wind energy system; electronics design, PCB creation, and control logic development via bare-metal firmware.

SOFTWARE ENGINEER | DATA SCIENTIST (2022 – Present)
  • Conducted structural fatigue and deformation analysis for turbine components, optimizing design performance using OpenFAST and OWENS simulation tools.
  • Designed high-performance algorithms for real-time physical simulations, ensuring industry-standard accuracy and computational efficiency.
  • Built and managed scalable data pipelines for 4+ TB of wind data using HDF5, streamlining storage and retrieval for large-scale analysis.
EMBEDDED SOFTWARE ENGINEER (2018 – 2022)
  • Developed real-time motor control algorithms with Simulink and IAR Workbench, achieving a 20% increase in efficiency and 15% reduction in power consumption.
  • Engineered and debugged bare-metal firmware for ARM Cortex-based microcontrollers, ensuring high reliability for sensor integration and motor communication.
  • Performed deep-dive analysis of motor phase and sensor data, identifying key operational patterns that drove a 15% increase in system performance.
MODELING AND SIMULATION ENGINEER (2016 – 2018)
  • Developed a custom GPU-accelerated Sequential Quadratic Programming (SQP) algorithm in C#, outperforming commercial tools like KNITRO through parallel processing.
  • Led the implementation of complex physical simulations incorporating hundreds of variables and constraints to maximize power output while minimizing costs.
  • Applied advanced mathematical modeling principles to optimize large-scale system performance and computational efficiency.
University of Wyoming2012 – 2016

Optimized a hydrology model for the Upper Colorado Basin using high-performance computing techniques, resulting in a 30% reduction in processing time.

RESEARCH ASSISTANT
  • Optimized a hydrology model for the Upper Colorado Basin using high-performance computing techniques, resulting in a 30% reduction in processing time.
  • Investigated and implemented advanced parallel processing algorithms to improve the scalability and efficiency of large-scale environmental models.
National Institute for Mathematical Sciences2010 – 2011

Developed numerical schemes for hyperbolic equations in plasma physics and topology optimization for future internet protocols.

PROJECT RESEARCHER
  • Developed numerical schemes for hyperbolic equations in plasma physics and topology optimization for future internet protocols.
  • Presented research findings to peer experts, contributing to advancements in computational science and internet topologies.

EDUCATION

University of Wyoming, Laramie, WY2016
PhD in Mathematics

Dissertation: Alternative Models for Water Infiltration & Oil Reservoirs In-Ground

Kangwon National University, South Korea2009
BS in Mathematics

DATA SCIENCE CERTIFICATES

  • DATA ANALYSIS WITH PYTHON by IBM
  • DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON by IBM
  • PYTHON PROJECT FOR DATA SCIENCE by IBM
  • DATA SCIENCE METHODOLOGY by IBM
  • INTRODUCTION TO ARTIFICIAL INTELLIGENCE WITH PYTHON by CS50
  • INTRODUCTION TO COMPUTER SCIENCE by CS50
  • OPENFAST CERTIFICATE by UNIVERSITY OF MASSACHUSETTS AMHERST

PUBLICATIONS

  • OpenDBDDASToolkit: Secure Map Reduce and Hadoop-like Systems (2015) - E. Fabiano, M. Seo, X. Wu, and C. C. Douglas
  • The Soil Moisture Velocity Equation (2017) - Fred L. Ogden, Myron B. Allen, Wencong Lai, Jianting Zhu, Mookwon Seo, C. C. Douglas, and Cary A. Talbot
  • GPU Accelerated Sequential Quadratic Programming (2017) - X. Hu, C. C. Douglas, R. Lumley, M. Seo
  • Implementations and interpretations of the Talbot-Ogden infiltration model (2014) - M. Seo, D. Cerwinsky, K. Gahalaut, C.C. Douglas

PROFESSIONAL DEVELOPMENT

  • 2015: Twenty-first Industrial Mathematical and Statistical Modeling Workshop for Graduate Students
  • Estimation of bathymetry in environmental flow (2015: C. Copos, H. Ji, K. Palmowski, P. Sakkaplangkul, M. Seo, Y. Wang)
  • 2018 Conference on Computer Vision and Pattern Recognition
  • 2022 Certificate of completion of molding wind turbines with the FAST code Issued by UMassAmherst

HONORS AND AWARDS

  • 2014 Virindra & Gail Sehgal Award and Catherine Gibbs Shaw Awards for Excellence in Mathematics (University of Wyoming)
  • 2013 Summer Graduate Scholarship
  • 2007-2008 Scholarship at Kangwon National University
  • 2007-2008 Scholarship from a research project at Gangwon National University
  • 2001-2003 BK21 (Brain Korea 21), National Research Fellowship (South Korea)

TALKS

  • 2014 Very fast water infiltration methods, University of Wyoming Analysis and Computational Mathematics Seminar.
  • 2015 A reliable and computationally efficient alternative to the one dimensional Richards equation for variably saturated flow in soils.
  • 2016 An alternative solution of one dimensional Richards equation and its implementation.

COURSES TAUGHT

  • 2016 Summer: Calculus I
  • 2016 Spring: Trigonometry
  • 2015 Fall: Trigonometry
  • 2013 Spring: College Algebra
  • 2012 Fall: College Algebra

LANGUAGES

  • Korean (Native)
  • English (Fluent)
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