Prof. Igor Belenichev | Machine Learning | Excellence in Innovation

Prof. Igor Belenichev | Machine Learning | Excellence in Innovation

Professor at Zaporizhzhia State Medical University, Ukraine

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📚 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

Sufian-Badawi-Machine Learning-Best Researcher Award 

Assist Prof Dr. Sufian-Badawi-Machine Learning-Best Researcher Award 

Applied Sciences University-Jordan 

Author Profile

Early Academic Pursuits

Assist Prof Dr. Sufian AbdulQader Badawi's academic journey is marked by a relentless pursuit of knowledge and expertise in the fields of Artificial Intelligence, Data Science, IT Governance, and Enterprise Architecture. His educational background encompasses a diverse range of disciplines, providing him with a solid foundation to excel in his professional endeavors. With a keen interest in emerging technologies and their applications in solving complex problems, Dr. Badawi embarked on a journey of academic exploration that would ultimately shape his illustrious career.

Professional Endeavors

Assist Prof Dr. Sufian AbdulQader Badawi's professional journey is characterized by a rich tapestry of experiences across various industries and sectors. From his early roles as a Senior Programmer/Analyst at Abu Dhabi Municipality to his tenure as a Project Manager at Roads and Transport Authority, Dubai UAE, he has demonstrated exceptional leadership and strategic vision in driving organizational success. His tenure at Prime Technology Systems as a Senior System Analyst further solidified his expertise in solution architecture, enabling him to leverage cutting-edge technologies such as Machine Learning and Data Science to enhance business processes.

Contributions and Research Focus

Assist Prof Dr. Sufian AbdulQader Badawi's research interests lie at the intersection of AI, Machine Learning, Deep Learning, Advanced Image Processing, Stereo Imaging, Time Series Forecasting, and Fraud Management. His published research papers in retinal image analysis and time series fraud detection underscore his commitment to advancing the frontiers of knowledge and driving innovation in his field. Through his research endeavors, Dr. Badawi seeks to develop novel algorithms and methodologies that have practical applications in addressing real-world challenges, thereby making a meaningful impact on society.

Accolades and Recognition

Assist Prof Dr. Sufian AbdulQader Badawi's contributions to the field of Artificial Intelligence and Data Science have earned him recognition and accolades from peers and industry experts alike. His published research papers in reputable journals and conferences attest to the quality and significance of his work. Additionally, his role as a Visiting Post-Doctoral Researcher at the American University of Ras Al Khaimah underscores his standing as a respected authority in his field and highlights his dedication to furthering scientific inquiry and knowledge dissemination.

Impact and Influence

Assist Prof Dr. Sufian AbdulQader Badawi's impact extends beyond the confines of academia, as evidenced by his significant contributions to industry and society. His innovative solutions in areas such as diagnosing diseases from medical images using AI and deep learning have the potential to revolutionize healthcare delivery and improve patient outcomes. Furthermore, his expertise in IT governance and enterprise architecture has helped organizations navigate complex technological landscapes and achieve strategic objectives. Dr. Badawi's leadership and expertise have left an indelible mark on the organizations he has served, inspiring others to strive for excellence and innovation.

In the realm of machine learning, Sufian Badawi emerges as a beacon of excellence and innovation.

Legacy and Future Contributions

As Assist Prof Dr. Sufian AbdulQader Badawi's continues his academic and professional journey, his legacy is defined by his unwavering commitment to excellence, innovation, and societal impact. Through his research, teaching, and leadership roles, he seeks to empower future generations of scholars and professionals to harness the power of technology for the greater good. Dr. Badawi's vision for the future is one of collaboration, interdisciplinary inquiry, and transformative change, where AI and data science serve as catalysts for positive societal transformation. His legacy will endure as a testament to his passion for knowledge, his dedication to excellence, and his unwavering belief in the power of technology to shape a better world.

Citations

  • Citations    119
  • h-index          6
  • i10-index       4

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