Vadim V. Yakovlev, Ph.D.
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Associate Research Professor (formerly)
Adjunct Teaching Professor
Deparment of Mathematical Sciecnes
Worcester Polytechnic Institue
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Key Research Areas
Electromagnetic and multiphysics modeling for microwave power engineering
Sustainable technologies involving microwave and millimeter-wave field-matter interaction
Microwave plasma and its innovative applications
Machine-learning algorithms for optimization and non-destructive testing/imaging
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WPI Center for Industrial Mathematics and Statistics (CIMS), Member
CIMS: Industrial Microwave Modeling Group (IMMG), Founder & Head
WPI Center for Advanced Research in Drying (CARD), Member
International Microwave Power Institute (IMPI), Board of Governors (2012-), Fellow (2018)
News
19th AMPERE Conference on Microwave and High-Frequency Applications, Cardiff, U.K., September 2023 (Link)
C.E. Williams, E. K. Murphy, and V. V. Yakovlev, Machine-learning efficiency optimization of microwave applicators with plasma, Proc. 19th AMPERE Conference on Microwave and High-Frequency Applications (Cardiff, U.K., September 2023), pp. 289-290. Extended version: European J. of Microwave Energy, vol. 1, no. 1 (Inaugural Issue), pp. 44-50, 2024 - most popular article of the issue (646 reads & 111 downloads, as of 6/1/2025).
57th IMPI’s Microwave Power Symposium, Denver, CO, June 2023
C.E. Williams and V.V. Yakovlev, Characterization of microwave plasma in electromagnetic modeling for processing applications, Proc. 57th IMPI’s Microwave Power Symposium (Denver, CO, June 2023), pp. 51-53.
International Conference on Heating by Electromagnetic Sources (HES-23), Padua, Italy, May 2023
M.C. Robinson, J.A. Molles, V.V. Yakovlev, and Z. Popovic, Phase effect on the microwave induced temperature field: computational and experimental evidence, Proc. Intern. Conf. on Heating by Electromagnetic Sources (HES-23) (Padua, Italy, May 2023), p. 39.
➡️ WPI CIMS Research Experiences for Undergraduates (REU) in Industrial Mathematics and Statistics
🔹 Co-Director (2023-2025)
Publications resulted from the CIMS REU Program:
Y. Ito, H. Krishnan, A. Mullaney, K. Shiffer, S. Sturm, Understanding lost civilizations and commodity term structures: the signature method, Wilmott, no. 139, pp. 58-67, 2025.
N. Grabill, S. Wang, H.A. Olayinka, T.P. De Alwis, Y.F. Khalil, J. Zou, AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications, Reliability Engineering and System Safety, vol. 250, 110308, 2024. (LINK) .
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