Hi, I’m
Collins Akosa
Tokyo,11
Summary
Analytical computational scientist with 10+ years’ experience in scientific research, machine learning, data science, and HPC. Expert in Python, Fortran, C++, parallel computing, and simulation-driven modeling of complex systems. Proven record of publications in top journals and applying ML and HPC to solve scientific and engineering challenges. Skilled in critical analysis, data preprocessing, predictive modeling, deep learning, and performance optimization.
Overview
19
years of professional experience
Work History
Waseda University
Research Assistant Professor – Applied Physics
07.2021 - Current
Job overview
- Developed analytical theories, ML models, and HPC simulations to study spintronic phenomena in skyrmions, vortices, and domain walls.
- Applied predictive modeling and numerical analysis to optimize magnetic material properties and device designs.
African University of Science and Technology
Visiting Professor of Physics
01.2018 - Current
Job overview
- Taught Quantum Mechanics, Computational Physics, and Python, emphasizing dynamic, interactive learning.
- Identified research opportunities for students, assisting with gathering data and drawing conclusions for projects.
- Mentored and supervised student theses on spintronics, applying Monte Carlo and numerical methods to solve ODEs and PDEs.
RIKEN
Postdoctoral Researcher – Spin Physics Theory Team
04.2017 - 06.2021
Job overview
- Led computational studies using Python and HPC clusters; parallelized algorithms for spin transport simulations.
- Applied ML techniques to model and predict magnetic texture dynamics, improving simulation efficiency.
- Designed research projects, proposed alternative approaches, collaborated with PI, authored papers, and presented results at international conferences.
Ministry of Transport
Database Administrator
01.2007 - 01.2008
Job overview
- Designed and managed a relational database for driver licensing system; gained experience in SQL and structured data management.
Education
KAUST
PhD from Material Science & Engineering
01.2016
Perimeter Scholar International, University of Waterloo
MSc from Physics
01.2010
AUST
MSc from Theoretical & Applied Physics
01.2009
University of Buea
BSc from Mathematics & Computer Science
01.2006
Skills
- Programming & Tools: Python (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Fortran, C, SQL, MATLAB, Jupyter Notebooks
- Machine Learning & AI: Supervised & Unsupervised Learning, Logistic Regression, Neural Networks, Deep Learning, NLP, Clustering (K-Means, Hierarchical), Decision Trees, SVMs, Feature Engineering, Model Optimization
- HPC & Parallel Computing: Cluster Computing, MPI, OpenMP, CUDA (NVIDIA), ROCm/HIP (AMD), Slurm & PBS Job Scheduling, AWS HPC Deployment
- Data Visualization: Matplotlib, Seaborn, Plotly
- Other Tools & Simulation: COMSOL, KWANT, MuMax3, OOMMF, Quantum Espresso, MySQL
Affiliations
Physical Society of Japan (JPS), Member (2019–Present)
Additional Information
- Deep Learning Prerequisites: Logistic Regression in Python - 18 hrs (Udemy)
- Data Science: Deep Learning & Neural Networks in Python - 12 hrs (Udemy)
- The Complete Machine Learning Course with Python - 17.5 hrs (Udemy)
- Python for Data Science & ML Bootcamp (Udemy)
- High Performance Computing (HPC) Systems -16 hors (Udemy)
- Data Science & Analytics Career Paths & Certifications 1.5 hrs (LinkedIn)
- Learning Cloud Computing: Cloud Storage - 1.5 hrs (LinkedIn)
- Python for Data Science, AI & Development - 25 hrs (Coursera)
Languages
English
Native or Bilingual
French
Professional Working
Japanese
Elementary
Timeline
Research Assistant Professor – Applied Physics
Waseda University
07.2021 - Current
Visiting Professor of Physics
African University of Science and Technology
01.2018 - Current
Postdoctoral Researcher – Spin Physics Theory Team
RIKEN
04.2017 - 06.2021
Database Administrator
Ministry of Transport
01.2007 - 01.2008
Perimeter Scholar International, University of Waterloo
MSc from Physics
AUST
MSc from Theoretical & Applied Physics
University of Buea
BSc from Mathematics & Computer Science
KAUST
PhD from Material Science & Engineering
Selected Publications
- Nonlinear control of damping constant by electric field in ultrathin ferromagnetic films, Phys. Rev. Applied 14, 014037 (2020).
- Topological Hall signatures of electrons in magnetic hopfions, Phys. Rev. Research 2, 013315 (2020).
- Tuning skyrmion Hall effect via engineering of spin-orbit interaction, Phys. Rev. Applied 12, 054032 (2019).
- Theory of the Topological Spin Hall Effect in Antiferromagnetic Skyrmions: Impact on Current-Induced Motion, Phys. Rev. Lett. 121, 097204 (2018).
- Enhanced Nonadiabaticity in Vortex Cores Due to the Emerging Hall Effect, Phys. Rev. Lett. 117, 277203 (2016).