Dr. Maksym Zoziuk | Plant miRNAs | Best Researcher Award
Researcher at CIMETA, Tor Vergata, Italy
Maksym Zoziuk is a dedicated CIMETA researcher at Tor Vergata, with a strong academic foundation in micro- and nanoelectronics, earning his bachelor’s, master’s, and Ph.D. degrees from the National Technical University of Ukraine. His Ph.D. research focused on applying convolutional neural networks to predict the coefficients of metamaterials based on their structure and composition. Maksym has contributed to prestigious international projects, including HORIZON 2020 and KATY (2022–2024), showcasing his expertise in interdisciplinary research. His work emphasizes leveraging artificial intelligence for scientific purposes, particularly in cancer treatment, where he explores novel approaches such as analyzing correlations between chemical compounds and gene expressions. Maksym’s research interests also include short non-coding RNAs and the statistical application of AI in biomedical studies. His innovative contributions and involvement in cutting-edge research highlight his potential to address complex challenges in science and healthcare, making him a promising figure in his field.
Professional Profile:
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Education:
Maksym Zoziuk earned his bachelor’s and master’s degrees in micro- and nanoelectronics from the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute.” He completed his Ph.D. at the same institution, focusing on the application of convolutional neural networks to predict metamaterial properties based on their structure and composition.
Professional Experience:
Maksym is a CIMETA researcher at Tor Vergata. He has contributed to high-impact projects, including HORIZON 2020 and KATY (2022–2024), where he worked on AI-driven cancer treatment strategies.
Research Interests:
His research focuses on artificial intelligence for scientific applications, short non-coding RNAs, cancer treatment through AI, and statistical correlations between chemical compounds and gene expressions.
Awards and Honors:
He has been recognized for his contributions to international research projects and interdisciplinary innovations.
Conclusion:
Maksym’s expertise in AI, biomedical research, and material science positions him as a promising researcher tackling global scientific challenges.
Publications Top Noted:
- Title: On one statistical model of error rate in the stream of packet data transmission through communication channels
Authors: SO Dovgyi, OI Yurikov, MO Zozyuk
Year: 2020
Citations: 8 - Title: Prediction of characteristics using a convolutional neural network based on experimental data on the structure and composition of metamaterials
Authors: M Zozyuk, D Koroliouk, P Krysenko, A Yurikov, Y Yakymenko
Year: 2023
Citations: 2 - Title: Creation of quasiperiodic surfaces under the action of vibrating dielectric matrices
Authors: M Zozyuk, D Koroliouk, V Moskaliuk, A Yurikov, Y Yakymenko
Year: 2020
Citations: 2 - Title: Artificial Intelligence and MicroRNA: Role in Cancer Evolution
Authors: D Koroliouk, M Mattei, M Zoziuk, C Montesano, R Bernardini, M Potestà, …
Year: 2024
Citations: 1 - Title: Using Information about Experimental Conditions to Predict Properties of Metamaterials
Authors: PI Krysenko, MO Zoziuk
Year: 2023
Citations: 1 - Title: The principle of creating quasiperiodic surfaces under the action of vibrating dielectric matrix
Authors: D Koroliouk, M Zozyuk, YI Yakymenko
Year: 2020
Citations: 1 - Title: Plant miRNAs for improved gene regulation in a wide range of human cancers
Authors: M Zoziuk, V Colizzi, P Krysenko, M Mattei, R Bernardini, F Zanzotto, …
Year: 2025
Citations: 0 - Title: Modèle de métasurface de la formation géographique du champ barique
Authors: D Koroliouk, M Zoziuk, P Krysenko, Y Yakymenko
Year: 2024
Citations: 0 - Title: Metasurface Model of Geographic Baric Field Formation
Authors: D Koroliouk, M Zoziuk, Y Yakymenko
Year: 2024
Citations: 0 - Title: Adaptive Deep Learning System for Investigating General Data
Authors: S Dovgyi, M Zoziuk, D Koroliouk
Year: 2023
Citations: 0 - Title: The Principle of Creating Quasiperiodic Surfaces under the Action of a Vibrating Dielectric Matrix
Authors: MO Zoziuk, AI Yurikov, DV Koroliouk, YI Yakymenko
Year: 2020
Citations: 0