Dmytro Chumachenko

Postdoctoral Fellow

Education

  • PhD (Systems and Means of Artificial Intelligence), Kharkiv National University of Radio Electronics, Ukraine, 2017 
  • Master (Project Management), National Aerospace University “Kharkiv Aviation Institute", Ukraine, 2011 
  • Master (Social Informatics), National Aerospace University “Kharkiv Aviation Institute", Ukraine, 2011 
  • Bachelor (Applied Mathematics), National Aerospace University “Kharkiv Aviation Institute”, Ukraine, 2009 

Research Interests

  • Epidemic model 

  • Machine learning 

  • Agent-based simulation 

  • Infectious diseases simulation 

  • Data-driven medicine 

Publications

  • Chumachenko D. Ukraine: thousands sign plea for scientific sanctions against Russia, Nature, 2022, vol. 603, iss. 7901, p. 393. DOI: 10.1038/d41586-022-00695-2 
  • Chumachenko D., Chumachenko T. Impact of war on the dynamics of COVID-19 in Ukraine, BMJ Global Health, 2022, vol. 7, iss. 4, e009173. DOI: 10.1136/bmjgh-2022-009173 
  • Chumachenko D., Meniailov I., Bazilevych K., Chumachenko T., Yakovlev S. Investigation of Statistical Machine Learning Models for COVID-19 Epidemic Process Simulation: Random Forest, K-Nearest Neighbors, Gradient Boosting, Computation, 2022, vol. 10, iss. 6, 86. doi: 10.3390/computation10060086 
  • Chumachenko D., Piletskiy, P., Sukhorukova, M., Chumachenko, T. Predictive model of Lyme disease epidemic process using machine learning approach, Applied Sciences, 2022, vol. 12, iss. 9, 4282. doi: 10.3390/app12094282 
  • Chumachenko D., Butkevych M., Lode D., Frohme M., Schmailzl K.J.G., Nechyporenko A. Machine learning methods in predicting patients with suspected myocardial infarction based on short-time HRV data, Sensors, 2022, vol. 22, iss. 18, 7033. doi:10.3390/s22187033 
  • Haque U., Naeem A., Wang S., Espinoza J., Holovanova I., Gutor T., Bazyka D., Galindo R., Sharma S., Kaidashev I.P., Chumachenko D., Linnikov S., Annan E., Lubinda J., Korol N., Bazyka K., Zhyvotovska L., Zimenkovsky A., Nguyen U.S.D.T. The human toll and humanitarian crisis of the Russia-Ukraine war: the first 162 days, BMJ Global Health, 2022, vol. 7, iss. 9, e009550. DOI: 10.1136/ bmjgh-2022-009550 
  • Lazarus J.V. et. al. A multinational Delphi consensus to end the COVID-19 public health threat, Nature, 2022, vol. 611, pp. 332-345. DOI: 10.1038/s41586-022-05398-2 

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