Prof. Igor Belenichev | Machine Learning | Excellence in Innovation

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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

Prof. Hua Zhang | Machine Learning | Best Researcher Award

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Prof. Hua Zhang | Machine Learning | Best Researcher Award

Professor at Wuhan University of Science and Technology, China

Profiles

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Research Gate

Summary:

Prof. Hua Zhang is a distinguished professor at Wuhan University of Science and Technology (WUST), specializing in clean steel production technology, numerical simulation, and the development of iron-based amorphous alloys. With a Ph.D. in Metallurgical Engineering, he has made significant contributions to steelmaking technology, securing multiple prestigious awards, including provincial science and technology awards and the Baosteel Outstanding Teacher Award. As the vice dean of the School of Materials Science at WUST, Dr. Zhang has published over 100 papers and holds numerous patents.

Education

  • Ph.D. in Metallurgical Engineering (2012)

💼 Professional Experience

  • Professor, Wuhan University of Science and Technology (2019–Present)
  • Postdoctoral Researcher, MCC Continuous Casting Technology Engineering Co., Ltd. (2015–2017)
  • Vice Dean, School of Materials Science, WUST

🔬 Research Interests

  • Clean steel production technology
  • Continuous casting new technology
  • Numerical simulation
  • Iron-based amorphous soft magnetic alloys
  • Secondary utilization of metallurgical resources

 

Publications

Modulating Fe/P Ratios in Fe-P Alloy through Smelting Reduction for Long-Term Electrocatalytic Overall Water Splitting

  • Authors: Zhang, T., Ren, X., Mo, S., Zhang, H., Ni, H.
  • Journal: Journal of Materials Science and Technology
  • Year: 2024

Multiphase Behaviors in a Multistage Vanadium Leaching Tank with Mechanical-Vapor Combined Stirring

  • Authors: Li, J., Wu, G., Fang, Q., Zhang, H., Ni, H.
  • Journal: Journal of the Taiwan Institute of Chemical Engineers
  • Year: 2024

Investigation on the Characteristics of Porosity, Melt Pool in 316L Stainless Steel Manufactured by Laser Powder Bed Fusion

  • Authors: Liu, C.-S., Xue, X., Wang, Y., Xiong, L., Ni, H.-W.
  • Journal: Journal of Materials Research and Technology
  • Year: 2024

Suppression of Free-Surface Vortex in Tundish by Rotating Stopper-Rod and Its Impact on Multiphase Flow in Mold

  • Authors: Huang, K., Zhang, H., Lu, P., Fang, Q., Ni, H.
  • Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science
  • Year: 2024

Optimization of Multiphase Flow and Initial Solidification Behaviors in a Stainless Steel Mold by SEN Design

  • Authors: Gao, F., Fang, Q., Zha, W., Zhang, H., Ni, H.
  • Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science
  • Year: 2024

Qamar-Ul Islam-Autonomous Systems-Excellence in Research

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Dr. Qamar-Ul Islam-Autonomous Systems-Excellence in Research

Dhofar University-Oman

Author Profile

Early Academic Pursuits

Dr. Qamar Ul Islam's academic journey reflects a deep-seated passion and expertise in artificial intelligence, robotics, computer vision, machine learning, and mechatronics. This early focus laid the groundwork for his multifaceted career at the intersection of engineering and technology.

Professional Endeavors

Currently serving as a Part-Time Lecturer at Dhofar University, Qamar is actively involved in curriculum development and accreditation processes. His dedication to enhancing program quality and aligning learning outcomes with industry standards demonstrates a commitment to academic excellence.

Autonomous Systems represent a transformative technological frontier, where machines and systems operate independently with minimal human intervention. This multidisciplinary field encompasses robotics, artificial intelligence (AI), machine learning, and control engineering. Autonomous Systems have diverse applications, from self-driving cars and unmanned aerial vehicles to smart home devices and industrial automation. The integration of advanced algorithms and sensors empowers these systems to perceive their environment, make decisions, and execute tasks, heralding a new era of efficiency and innovation in various industries.

Contributions and Research Focus On Autonomous Systems

With a Research Interest Score of 625.5, Qamar's objective is to leverage his extensive knowledge to produce impactful research papers. His areas of focus include ship detection, instrumentation, control engineering, and the cutting-edge project involving 3D reconstruction of tomato plants using RGB-D SLAM.

Accolades and Recognition

While specific accolades are not provided, Qamar's active collaboration with international research groups, dedication to professional growth, and engagement in undergraduate development programs signify a commitment to recognition and advancement in academia.

Qamar Ul Islam's commitment to excellence in research has left a lasting impact on the advancement of Autonomous Systems. His contributions, recognized through awards and achievements, have not only elevated his standing in the academic and engineering communities but have also propelled the field forward. As technology continues to evolve, Qamar remains at the forefront, dedicated to pushing the boundaries of what Autonomous Systems can achieve. His work is poised to shape the future of autonomous technologies, fostering innovation and opening new possibilities for industries worldwide.

Impact and Influnce

In his role as a lecturer, Qamar has actively contributed to curriculum review, faculty assessment, and program accreditation, impacting the quality of education at Dhofar University. His involvement in the collaborative 3D reconstruction project showcases his influence in cutting-edge research at the intersection of robotics, computer vision, and agriculture.

Embark on a journey into the cutting-edge realm of Autonomous Systems, where innovation converges with transformative power. These systems, driven by relentless advancements in robotics, artificial intelligence, machine learning, and control engineering, redefine the boundaries of what technology can achieve. From self-driving vehicles to intelligent automation, Autonomous Systems revolutionize industries, providing unprecedented efficiency and groundbreaking solutions. Delve into this dynamic landscape, where every development spearheaded by experts like Qamar Ul Islam embodies the transformative power of autonomy, shaping a future empowered by intelligent, independent systems.

Legacy and Future Contributions

Dr. Qamar Ul Islam's commitment to professional growth and collaboration positions him as a driving force in academia and engineering. His legacy includes a hands-on approach to program enhancement, impactful research, and collaborative projects that contribute to the broader scientific community. As he continues to explore innovative avenues in agri-tech research, Qamar is poised to leave a lasting impact on the fields of robotics, computer vision, and mechatronics, fostering knowledge exchange and furthering advancements in agri-tech.

Notable Publication