Assoc. Prof. Dr. Md. Jakir Hossen | Deep Learning for Computer Vision | Excellence in Research Award Published on 11/04/202611/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8442 Register Here
Prof. Dr. Natalia A. Serdyukova | Deep Metric Learning | Editorial Board Member Published on 13/03/202616/03/2026 by Computer Vision Awards Prof. Dr. Natalia A. Serdyukova | Deep Metric Learning | Editorial Board Member Professor | Gubkin University | Russia Prof. Dr. Natalia A. Serdyukova is an active researcher in Applied Mathematics, Complex Systems, and Digital Transformation, with a strong focus on algebraic and quasi-fractal modeling of intelligent and socio-technical systems. Her scholarly portfolio includes 45+ publications, encompassing conference papers, book chapters, and contributions to international series such as Intelligent Systems Reference Library and E3S Web of Conferences. Collaborating frequently with Vladimir I. Serdyukov, her research develops algebraic quasi-fractal logic, probabilistic modeling, and smart-system dynamics. These contributions advance digitalization, risk analysis, and sustainability modeling in complex technological systems, strengthening interdisciplinary scientific innovation and applications in smart infrastructure and digital ecosystems. Citation Metrics (Scopus) 200 150 100 50 0 Citations 144 Documents 45 h-index 8 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile Featured Publications Algebraic quasi-fractal modeling of complex systems with intermittent links. – Proceedings of the ICEIP Conference. (2025). Algebraic quasi-fractal dynamics: Modeling of the risk system of a complex energy-saving system. – E3S Web of Conferences. (2024). Fixed-point logic: Quasi-fractal aspects. –In Quasi-fractal algebraic systems and smart systems modeling. (2024). Presystem concept: Quasi-fractal probabilistic logic: The conditional digitalization function—Modeling of smart system states using homological algebra method. – In Quasi-fractal algebraic systems and smart systems modeling. (2024).
Prof. Dr. Natalia A. Serdyukova is an active researcher in Applied Mathematics, Complex Systems, and Digital Transformation, with a strong focus on algebraic and quasi-fractal modeling of intelligent and socio-technical systems. Her scholarly portfolio includes 45+ publications, encompassing conference papers, book chapters, and contributions to international series such as Intelligent Systems Reference Library and E3S Web of Conferences. Collaborating frequently with Vladimir I. Serdyukov, her research develops algebraic quasi-fractal logic, probabilistic modeling, and smart-system dynamics. These contributions advance digitalization, risk analysis, and sustainability modeling in complex technological systems, strengthening interdisciplinary scientific innovation and applications in smart infrastructure and digital ecosystems. Citation Metrics (Scopus) 200 150 100 50 0 Citations 144 Documents 45 h-index 8 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile Featured Publications Algebraic quasi-fractal modeling of complex systems with intermittent links. – Proceedings of the ICEIP Conference. (2025). Algebraic quasi-fractal dynamics: Modeling of the risk system of a complex energy-saving system. – E3S Web of Conferences. (2024). Fixed-point logic: Quasi-fractal aspects. –In Quasi-fractal algebraic systems and smart systems modeling. (2024). Presystem concept: Quasi-fractal probabilistic logic: The conditional digitalization function—Modeling of smart system states using homological algebra method. – In Quasi-fractal algebraic systems and smart systems modeling. (2024).
Mr. Mohammad Hussein Amiri | Artificial Intelligence | Best Researcher Award Published on 15/02/202515/02/2025 by Computer Vision Awards Mr. Mohammad Hussein Amiri | Artificial Intelligence | Best Researcher Award Mohammad Hussein Amiri at Shahid Beheshti University, Iran Profiles Scopus Orcid Summary Mr. Mohammad Hussein Amiri is a dedicated researcher and lecturer specializing in artificial intelligence, control systems, and metaheuristic optimization. He is an active reviewer for top-tier journals and a member of Iran’s National Elite Foundation. His expertise spans AI-driven fault detection, fuzzy systems, and optimization algorithms. Education M.Sc. in Electrical Engineering (Control) – Shahid Beheshti University, Iran (2021-2024) Ranked 1st (GPA: 3.96/4.00) B.Sc. in Electrical Engineering – Ayatollah Borujerdi University, Iran (2017-2021) Ranked 3rd (GPA: 3.52/4.00) Professional Experience Lecturer – Applied AI & Metaheuristic Optimization in MATLAB, Shahid Beheshti University (2023-2024) Reviewer – Applied Soft Computing, Expert Systems with Applications, Alexandria Engineering Journal, Knowledge-Based Systems (2023-2024) Research Interests Artificial Intelligence & Machine Learning Metaheuristic Optimization & Evolutionary Algorithms Control Systems & Fuzzy Logic Fault Detection & Diagnosis in Industrial Systems. Publications An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants Authors: Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, Amin Beheshti, Nima KhodadadiJournal: Expert Systems with ApplicationsYear: 2025 Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm Authors: Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Montazeri, M., Mirjalili, S., Nima KhodadadiJournal: Scientific ReportsYear: 2024 Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali ArdakaniJournal: Soft ComputingYear: 2024 Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization Authors: Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Ardashir Mohammadzadeh, Seyedali Mirjalili, Nima KhodadadiJournal: Cluster ComputingYear: 2024 Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks Authors: Mohammad Hussein Amiri, Mahdi Pourgholi, Nastaran Mehrabi Hashjin, Mohammadreza Kamali ArdakaniJournal: Research SquareYear: 2023
Prof. Igor Belenichev | Machine Learning | Excellence in Innovation Published on 05/09/202405/09/2024 by Computer Vision Awards Prof. Igor Belenichev | Machine Learning | Excellence in Innovation Professor at Zaporizhzhia State Medical University, Ukraine Profiles Scopus Orcid Google Scholar Summary Prof. Igor Fedorovich Belenichev is a distinguished Full Professor and Head of the Department of Pharmacology and Medical Formulation at Zaporizhzhia State Medical University. Renowned for his innovative research in neuroprotection and pharmacology, he is a laureate of the Cabinet of Ministers of Ukraine Prize for the development and implementation of groundbreaking technologies. Education Zaporizhzhia State Medical Institute (1988): Graduated with a degree in medicine. Postgraduate studies (1988), professor assistant (1991), senior teacher (1999), associate professor (2004), and full professor (2006). Professional Experience Zaporizhzhia State Medical University: Head of the Department of Pharmacology and Medical Formulation since 2005. Main Scientific Researcher at «Pharmatrone» (since 1993). Head of the regional branch of the Association of Pharmacologists of Ukraine. Co-worker of the regional group of the National Expert Centre of the Ministry of Health of Ukraine. Research Interests Prof. Belenichev’s research focuses on the molecular and biochemical mechanisms of ischemic brain damage and the development of effective neuroprotectors. His work explores the roles of reactive oxygen and nitrogen species, thiol-disulfide systems, pro-/anti-apoptotic proteins, estrogen receptors, and endogenous neuroprotection factors. He also investigates drugs for CNS pathologies and effective neuro- or cardioprotectors from derivatives of 1,2,4-triazole, chinazoline, and xanthine. Achievements Scientific Works: Authored and co-authored 715 scientific publications. Patents: Holder of 182 patents in Ukraine and the Russian Federation. Theses: Supervised 3 Dr. Habs and 7 Ph.D. theses. Drug Development: Contributed to the creation of drugs like Thiotriazoline, Thiocetam, and Thiodarone. Awards: Token of the Bibliographical Society of America (2003), Regional Program “Zoryaniy Shlyakh” Prize (2000), and Cabinet of Ministers of Ukraine Prize (2017). Publications 5+1-Heterocyclization as preparative approach for carboxy-containing triazolo[1,5-c]quinazolines with anti-inflammatory activity Authors: Krasovska, Natalya; Berest, Galina; Belenichev, Igor; Severina, Hanna; Nosulenko, Inna; Voskoboinik, Oleksii; Okovytyy, Sergiy; Kovalenko, Serhii Journal: European Journal of Medicinal Chemistry Year: 2024 Beta-Blockers of Different Generations: Features of Influence on the Disturbances of Myocardial Energy Metabolism in Doxorubicin-Induced Chronic Heart Failure in Rats Authors: Igor Belenichev; Olexiy Goncharov; Nina Bukhtiyarova; Oleh Kuchkovskyi; Victor Ryzhenko; Lyudmyla Makyeyeva; Valentyn Oksenych; Oleksandr Kamyshnyi Journal: Biomedicines Year: 2024 Characteristics of HIF-1α and HSP70 mRNA Expression, Level, and Interleukins in Experimental Chronic Generalized Periodontitis Authors: Parkhomenko Daria; Igor Belenichev; Kuchkovskyi Oleh; Ryzhenko Victor Journal: MicroRNA Year: 2024 Comparative Analysis of the Effect of Beta Blockers of Different Generations on the Parameters of Myocardial Energy Metabolism in Experimental Doxorubicin-Induced Chronic Heart Failure Authors: Igor Belenichev; Olexiy Goncharov; Nina Bukhtiyarova; Oleh Kuchkovskyi; Victor Ryzhenko; Lyudmyla Makyeyeva; Valentyn Oksenych; Oleksandr Kamyshnyi Journal: Preprint Year: 2024 Development and Optimization of Nasal Composition of a Neuroprotective Agent for Use in Neonatology after Prenatal Hypoxia Authors: Igor Belenichev; Olena Aliyeva; Bogdan Burlaka; Kristina Burlaka; Oleh Kuchkovskyi; Dmytro Savchenko; Valentyn Oksenych; Oleksandr Kamyshnyi Journal: Pharmaceuticals Year: 2024