Dmytro Chumachenko
Associate Professor · PhD
(Candidate of Technical Sciences)
Mathematical Modelling & Artificial Intelligence Dept.
National Aerospace University “Kharkiv Aviation Institute”
Scopus ID
58194260300
58194260300
WoS ResearcherID
I-8520-2018
I-8520-2018
ORCID
0000-0003-2623-3294
0000-0003-2623-3294
24
Hirsch index (Scopus)
333
Total publications
129
Scopus indexed
Top 2%
Scientist (Stanford)
15+
Years in academia
Education & Degrees
Associate Professor Title
Mathematical Modelling & AI
Jan 2019
PhD — Systems & Means of AI
National University of Radioelectronics
Oct 2017
MSc — Social Informatics & Project Management
National Aerospace University “KhAI”
2009 – 2011
BSc — Applied Mathematics
National Aerospace University “KhAI”
2005 – 2009
Main Research Areas
Artificial Intelligence
Agent-based simulation, machine learning, deep learning, data utilization
Population Dynamics
Epidemic processes, infectious diseases, migration, mis/disinformation spreading
Public Health & Epidemiology
AI for public health, global health, emergent diseases computational analysis
Professional career (Selected)
Associate Professor & Academic Director
2018 – presentMath Modeling & AI Dept. · Kharkiv Aviation Institute
Principal Investigator
Apr 2024 – presentEpidemiology Dept. · Kharkiv National Medical University
Visiting Researcher / Balsillie Scholar
2023 – presentMax Planck Institute (Germany) / Balsillie School (Canada)
Visiting Research Fellow
Feb 2024 – Jun 2024CSAIL · Massachusetts Institute of Technologies (MIT), USA
Postdoctoral Research Fellow
Nov 2022 – Nov 2023Ubiquitous Health Technologies Lab · University of Waterloo, Canada
Courses taught
Artificial Intelligence & Society
Intelligent Systems
Agent-Based Modelling
Epidemic Processes Simulation
AI Methods in Healthcare
IT Project Management
Data Science & ML
Building Digital Foundations
IT skills
Machine Learning / Deep Learning
Agent-Based Simulation
Python
R
MathCad / MatLab
C#
Languages
Ukrainian (Native)
Russian (2nd Native)
English (C1)
German (A2)
Grants & Fellowships
NSF & NRFU Projects (2020-2026): PI and Co-PI on modeling infection spread, population biosafety, and epidemic situation assessment.
DAAD (2022-2024): Project Coordinator for Wildau-Kharkiv IT Bridge I-IV.
Fellowships: Global MIT At Risk Fellowship, Balsillie Scholarship, STIBET.
Awards & Community
World’s Top 2% Scientist (Stanford, 2022-2024). Young Scientist of the Year. President of Ukrainian scientific and educational IT Society.