Nadira Aitambaeva | Formulation Science | Best Research Article Award

Dr. Nadira Aitambaeva | Formulation Science | Best Research Article Award

Kazakh National Medical University | Kazakhstan

Dr. Nadira Aitambaeva is a distinguished public health professional and academician whose career embodies a strong commitment to advancing healthcare systems and population well-being in Kazakhstan. She began her academic journey at the Kazakh National Medical University named after S.D. Asfendiyarov, earning her Bachelor’s degree in Public Health, where she developed a solid foundation in epidemiology, healthcare policy, and preventive medicine. Her passion for public health led her to pursue a Master’s degree at the Kazakhstan School of Public Health, where she deepened her expertise in health promotion, disease prevention, and healthcare management. Determined to contribute to health research and policy on a broader scale, she achieved a Doctor of Public Health degree from the same institution, specializing in population health, health systems research, and public health education.Dr. Aitambaeva has dedicated her professional career to teaching at the Department of Population Health and Social Sciences at the Kazakhstan School of Public Health, where she continues to shape the next generation of public health professionals. Her teaching focuses on integrating theoretical knowledge with practical applications, ensuring students gain the analytical skills necessary to address modern public health challenges. Through her mentorship, she has fostered a research-oriented environment that encourages evidence-based decision-making in healthcare delivery and policy formation.

Profile: Orcid

Featured Publications

Aitambayeva, N. N., Svetlanova, S., Kumar, A. B., Makhanbetkulova, D. N., Aurelija, B., Suleymenov, M. S., & Nazarova, L. Z. (2025). The impact of artificial intelligence on the standardization and improvement of nursing care. Фтизиопульмонология, 47(12), 27.

Aitambayeva, N. N., Aringazina, A. M., Nazarova, L. Z., Adenov, M. M., & Ismailov, Sh. Sh. (2025). Level of awareness of decision-makers on tuberculosis issues: Results of a qualitative study. Фтизиопульмонология, 20(15), 21.

Nazarova, L. Z., Nurbakyt, A. N., Zhakupova, M. N., Aitambayeva, N. N., Svetlanova, Sh. M., Saktapov, A. K., & Narymbaeva, N. N. (2024). Medical and social consequences of iodine deficiency diseases of the thyroid gland. Фтизиопульмонология, 15(82), 11.

Akhmetov, V. I., Kamaliev, M. A., Brimzhanova, M. D., Moiyinbaeva, Sh. M., Ramazanova, M. A., Narymbaeva, N. N., & Aitambayeva, N. N. (2024). Towards high-quality medical care through improvement of medical education. Наука и здравоохранение, 26(2), 25.

Tleuberlin, T. K., Glushkova, N. E., Aitambayeva, N. N., Zhusupov, S. M., Kazangapov, R. S., & Abdrakhmanov, S. T. (2023). Development of an algorithm for dispensary observation of patients after coronary artery bypass grafting. Наука и здравоохранение, 25(5), 29.

Aringazina, A. M., Aitambayeva, N. N., Nazarova, L. Z., Alimbekova, G. T., Ismailov, Sh. Sh., Adenov, M. M., Dzhazybekova, P. M., Musabekova, G. A., & Alikeeva, E. A. (2021). Awareness of the population and key groups in Kazakhstan about tuberculosis. Наука и здравоохранение, 23(5), 8.

Mr. Sun Hui|Formulation Science|Best Researcher Award

Mr. Sun Hui-Formulation Science-Best Researcher Award

Mr. Sun Hui at ollege of Computer Science and Technology, Harbin Engineering University, China

Author Profile

scopus

Early Academic Pursuits 🎓

Sun Hui embarked on his academic journey at a young age, demonstrating a keen interest in technology and innovation. He pursued his undergraduate studies at the College of Computer Science and Technology, Harbin Engineering University, China, where he developed a solid foundation in computational sciences and engineering principles. His exceptional performance and enthusiasm for research earned him numerous accolades during his undergraduate years.

Continuing his academic pursuit, Sun Hui delved deeper into advanced topics such as electromagnetic scattering and artificial intelligence, laying the groundwork for his future contributions to science and technology. He completed his postgraduate studies with distinction, focusing on integrating computational methods with real-world applications, setting the stage for a thriving career in academia and research.

Professional Endeavors 🚀

Mr. Sun Hui currently holds dual roles as a researcher at the Institute of Systems Engineering, Academy of Military Science, and a doctoral supervisor at Harbin Engineering University. His professional journey has been marked by a steadfast commitment to advancing the fields of computer science and systems engineering.

At the Academy of Military Science, Sun Hui has been pivotal in developing innovative applications for electromagnetic scattering, which are essential for modern defense and communication systems. Meanwhile, as a mentor at Harbin Engineering University, he has guided numerous doctoral candidates, fostering a new generation of researchers equipped to tackle global technological challenges.

Contributions and Research Focus 🧠

Sun Hui has made significant strides in several cutting-edge areas of science and technology. His primary research interests include:

  • Electromagnetic Scattering: Contributing to the understanding and application of electromagnetic waves in complex environments, essential for radar and communication technologies.
  • Sensor Big Data: Developing advanced algorithms to process and analyze large volumes of sensor-generated data, enabling more efficient decision-making systems.
  • Artificial Intelligence (AI) Theory: Innovating methods to enhance machine learning and AI systems’ accuracy, reliability, and scalability.

In recent years, Sun Hui has concentrated on the “Intelligence+” framework and AI for Science research paradigm innovation. This visionary approach merges traditional scientific methodologies with advanced AI techniques, unlocking new possibilities in data analysis, simulation, and predictive modeling. His work is regarded as transformative, fostering interdisciplinary collaborations and pushing the boundaries of computational science.

Accolades and Recognition 🏆

Sun Hui’s contributions have earned him widespread recognition within academic and professional communities. His accolades include:

  • Prestigious research awards from national and international institutions.
  • Publication of high-impact research papers in leading journals in computer science and engineering.
  • Invitations to deliver keynote speeches at global conferences, sharing insights on the intersection of AI, big data, and science.

His efforts have also been acknowledged through funding grants that support innovative research projects, further solidifying his position as a leading figure in his field.

Impact and Influence 🌍

The impact of Sun Hui’s work extends beyond academia, influencing diverse sectors such as defense, healthcare, and environmental monitoring. His advancements in sensor big data and AI have improved predictive analytics in critical systems, ensuring better resource allocation and risk mitigation.

As an educator, Sun Hui has shaped the careers of numerous students, many of whom have gone on to achieve significant milestones in academia and industry. His commitment to mentorship and collaboration has fostered an inclusive environment where innovation thrives.

Legacy and Future Contributions 🌟

Sun Hui’s legacy is firmly rooted in his ability to merge theoretical expertise with practical applications, addressing real-world challenges with innovative solutions. His work on the “Intelligence+” framework represents a paradigm shift, promising to redefine how scientific research is conducted in the AI era.

Looking ahead, Sun Hui aims to further his exploration of AI for Science, focusing on areas such as quantum computing, climate modeling, and personalized healthcare. He envisions a future where interdisciplinary collaboration powered by AI drives breakthroughs that benefit humanity at large.

Through his relentless pursuit of excellence and visionary leadership, Sun Hui continues to inspire the global scientific community, leaving an indelible mark on the fields of computer science, engineering, and beyond.

Notable Publication

Time-prior-based stacking ensemble deep learning model for ship infrared automatic target recognition in complex maritime scenarios

  • Authors   : Zhang, H., Liu, C., Ma, J., Sun, H.
  • Year         :2024

SAR Neural Radiance Fields with Multi-Resolution Hash Encoding

      • Authors   : Lei, Z., Sun, H., Xu, F.
      • Journal    : International Geoscience and Remote Sensing Symposium 
      • Year         :2024

Ship Infrared Automatic Target Recognition Based on Bipartite Graph Recommendation: A Model-Matching Method

    • Authors   : Zhang, H., Liu, C., Ma, J., Sun, H.
    • Year         :2024

 

Spatiotemporal adaptive attention graph convolution network for city-level air quality prediction

Data Optimization Method for Ship Infrared Image Recognition

    • Authors   : Zhang, H., Liu, C., Ma, J., Sun, H.
    • Journal    : nternational Conference on Cyber-Physical Social Intelligence
    • Year         :2023