Draft:Victor Erokhin

  • Comment: Please remove the substantial bragging, this does not belong. Also please read carefully the requirements for notability in WP:NPROF and the requirements in WP:BLP for biographies. Ldm1954 (talk) 07:50, 4 July 2024 (UTC)
  • Comment: The article makes many claims about his notability. If the wider community accepted them he would have a massive h-factor and a string of major awards. However, he has neither. This indicates that the general community is not convinced, so as a reviewer, I am also not. I don't think he is close. Ldm1954 (talk) 12:16, 11 March 2024 (UTC)


Victor Erokhin
Born
Victor Erokhin

(1960-01-01) January 1, 1960 (age 64)
CitizenshipItalian, Russian
Alma materMoscow Institute of Physics and Technology
Known for
Awards
  • Belov Prize, RussianAcademy of Sciences, 1990;
  • First prize, Russian Academy of Sciences, 1991;
  • Award for the top 20% reviewers of Langmuir, 2009;
  • Certificate of Appreciation for valuable contribution and dedicated sercice;
  • Recognized contributor to American Chemical Society, 2016.
Scientific career
FieldsElectrical engineering
Electronics and communication engineering
InstitutionsCNR, Parma

Victor Erokhin is an Italian-Russian physicist and material scientist, known for his works in organic memristive devices, and the inventor of the first in the world device that is described via universal memristive phenomena memristive device. He is a Research Director of the CNR-IMEM (CNR - Istituto dei Materiali per l'Elettronica ed il Magnetismo). Dr. Erokhin's work ranges from neuromorphic applications of organic-based memristive devices to the realization of polymeric smart drug delivery systems. His group demonstrated the capability of reproducing the nervous system of the snail Lymnaea stagnal, the realization of a hardware version of an artificial neural network (single and multilayer perceptron)..[1], the realization of a functional connection between two cells of the rat brain slice [2] and in 2023 Victor Erokin and Max Talanov and their teams demonstrated the proof of concept of the feedback-driven self-learning segment of the spinal CPG as the piece of hardware [3].

In the drug delivery application, his group reported the realization of microcapsules realized employing Layer by layer method, capable of loading and selectively realizing their content depending on the pH, and of targeting by magnetic force.

  1. ^ Demin, V.A.; Erokhin, V.V.; Emelyanov, A.V.; Battistoni, S.; Baldi, G.; Iannotta, S.; Kashkarov, P.K.; Kovolchuk, M.V. (October 2015). "Hardware elementary perceptron based on polyaniline memristive devices". Organic Electronics. 25: 16–20. doi:10.1016/j.orgel.2015.06.015.
  2. ^ Juzekaeva, Elvira; Nasretdinov, Azat; Battistoni, Silvia; Berzina, Tatiana; Iannotta, Salvatore; Khazipov, Roustem; Erokhin, Victor; Mukhtarov, Marat (2018-11-08). "Coupling Cortical Neurons through Electronic Memristive Synapse". Advanced Materials Technologies. 4. doi:10.1002/admt.201800350.
  3. ^ Masaev, Dinar; Suleimanova, Alina; Prudnikov, Nikita; Serenko, Mariia; Emelyanov, Andrey; Demin, Vyacheslav; Lavrov, Igor; Talanov, Max; Erokhin, Victor (28 February 2023). "Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern". Frontiers in Neuroscience. 17. doi:10.3389/fnins.2023.1124950. PMC 10011148. PMID 36925742.

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