Details of the Researcher

PHOTO

Ferracina Fabiana
Section
Mathematical Science Center for Co-creative Society
Job title
Assistant Professor
Degree

  • Ph.D. Statistical Science (Washington State University)

Research History 2

  • 2024/10 - Present
    Tohoku University　Mathematical Science Center for Co-creative Society (MCCS)　Assistant Professor

  • 2023/01 - 2024/05
    Pacific Northwest National Laboratory　Data Sciences & Machine Intelligence　PhD Intern

Education 1

  • Washington State University　Mathematics　Statistical Science

    2018/08 - 2024/06

Research Interests 6

  • Transportation

  • Biomedicine

  • Materials Science

  • Statistics

  • Graph Neural Networks

  • Topological Data Analysis

Research Areas 1

  • Natural sciences / Applied mathematics and statistics / Topological Data Analysis

Papers 4

  1. Viscosity rise of supercritical liquid copper above the Frenkel line and related structural features: a molecular dynamics and topological data analysis study

    F Ferracina, A K A Lu, X N Du, N Chen, M I Ojovan, H Suito, D V Louzguine-Luzgin

    Journal of Physics: Condensed Matter　2026/05/22

    DOI： 10.1088/1361-648X/ae6216 　

  2. Learning to Simulate Aerosol Dynamics with Graph Neural Networks

    Fabiana Ferracina, Payton Beeler, Mahantesh Halappanavar, Bala Krishnamoorthy, Marco Minutoli, Laura Fierce

    ACS ES&T Air　2　(8)　1426-1438　2025/07/14

    Publisher: American Chemical Society (ACS)

    DOI： 10.1021/acsestair.4c00261 　

    ISSN： 2837-1402

    eISSN： 2837-1402

  3. Reducing Total Trip Time and Vehicle Emission through Park-and-Ride — methods and case-study

    Ayane Nakamura, Fabiana Ferracina, Naoki Sakata, Takahiro Noguchi, Hiroyasu Ando

    Journal of Cleaner Production　2025/02

    DOI： 10.1016/j.jclepro.2025.144860 　

  4. Predictive analytics of selections of russet potatoes

    Fabiana Ferracina, Bala Krishnamoorthy, Mahantesh Halappanavar, Shengwei Hu, Vidyasagar Sathuvalli

    Crop Science　2025/01

    DOI： 10.1002/csc2.21432 　

Presentations 6

  1. Topological Data Analysis and Machine Learning: Mathematical Foundations and Industrial Applications Invited

    Fabiana Ferracina

    2nd International Conference on Recent Advances in Engineering and Sciences-2026 (ICRAES-2K26)　2026/04

  2. Enhancing explainability of causal discovery AI - from the G-RIPS Sendai 2024 Fujitsu project

    Fabiana Ferracina

    Approaching the World through the Lens of Causality Symposium　2026/02

  3. Applications of Persistent Homology to Problems in Industry

    Fabiana Ferracina

    KISTEC Learning and Training Program in Mathematical Literacy　2026/01

  4. Persistent Homology Analysis of Urban Transit Networks: Multi-Scale Topological Characterization of Bus Route Patterns

    Fabiana Ferracina

    Urban OR Winter Seminar 2025 at Keio University　2025/12

  5. Topological Phantom Generation for Small-Dataset Medical Image Classification: A Per- sistent Homology Framework

    Fabiana Ferracina

    HeKKSaGOn workshop at The University of Osaka　2025/10

  6. Simulating Aerosol Chemistry with Graph Neural Networks

    Fabiana Ferracina

    Cascade RAIN Mathematics Meeting　2024/04

Show all Show first 5

Teaching Experience 12

  1. Functions, Models, and Quantitative Reasoning

  2. College Algebra

  3. Learning Strategies in Mathematics

  4. Business Calculus

  5. Calculus for Life Sciences

  6. Functional Programming

  7. Programming Methodology

  8. Fundamental of Computing

  9. Introduction to Statistics

  10. Integral Calculus

  11. Differential Calculus

  12. Introduction to Probability

Show all Show first 5

Academic Activities 1

  1. Program Coordinator for G-RIPS Sendai

    2025/06 - Present

    Activity type: Academic research