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Focusing on Biology, Medicine and Engineering ISSN: 2995-8067 | Quick Google Scholar

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Ievgen Zaitsev Editor at IgMin Research

Our aim is to support a culture of interdisciplinary research for the swift advancement of knowledge.

Biography

Ievgen Zaitsev born in Kiev, Ukraine, 1983. Received the B.Tech. and M.Tech degrees in measurement engineering from National Technical University of Ukraine "Kyiv Polytechnic Institute", Kyiv, Ukraine, in 2005 and 2007, respectively. The Ph. D. degree in devices and methods of measurement electric and magnetic quantities from Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, in 2012.

The Doctor of science degree in computer systems and components from Institute of Electrodynamics, NAS of Ukraine, Kyiv, Ukraine, in 2020. He is currently head of the department of theoretical electrical engineering and diagnostics of electrical equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine. He holds several patents, is the author of over 200 journals, conference papers, books and book chapters.

Research Interest

Sensor design and integration for power equipment fault diagnosing, renewable energy sources, distributed generation, smart grid, optoelectronics, device modelling and fabrication

Ievgen Zaitsev

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Work Details

 Department Head

 Institute of Electrodynamics of the National Academy of Sciences of Ukraine

 Theoretical electrical engineering and diagnostics of electrical equipment

 Ukraine

Contribution by Topic Area
Signal Processing Sensors Automation and Control Systems Energy Systems
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Research Articles
  1. Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
  2. Lifestyle and Well-being among Portuguese Firefighters
  3. Investigation of Lateral Vibrations in Turbine-generator Unit 5 of the Inga 2 Hydroelectric Power Plant
  4. Modeling of an Electric-fired Brick Oven, Directly Heated
  5. Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
  6. LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
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