Dr. Mikhajlo K. Zubko | Novel Protocols | Best Researcher Award

Dr. Mikhajlo K. Zubko, Manchester Metropolitan University, United Kingdom

Dr. Mikhajlo K. Zubko is a distinguished researcher in the field of genetics, specializing in the genetic mechanisms of biodiversity, genomic integrity, and telomere maintenance. He has made significant contributions to the understanding of checkpoint control under DNA damage, the interactions between nuclear and cytoplasmic genomes, and the impact of these interactions on genome stability and adaptation to stress factors. Dr. Zubko’s research has provided valuable insights into the role of telomere length in drug discovery and antifungal resistance. His work on yeast cells and mitochondrial DNA recombination has advanced the field of genetic variation and inheritance. Dr. Zubko’s academic journey spans prestigious institutions, with a Ph.D. in Genetics and a rich history of teaching and research. His ambitious idea to establish inter-compartmental genetics has further enriched our understanding of genetic variation. 🌿🧬🔬

Professional Profile

Orcid

Suitability for Award

Dr. Mikhajlo K. Zubko is an ideal candidate for the Research for Best Researcher Award due to his groundbreaking contributions to the fields of genetics and molecular biology. His pioneering research on telomere maintenance, mitochondrial DNA recombination, and the genetic mechanisms of stress adaptation has provided valuable insights into genome stability. Dr. Zubko’s innovative work on antifungal resistance in yeast and his development of advanced protocols for telomere length analysis have had a profound impact on genetic research. His ambitious concept of inter-compartmental genetics further highlights his visionary approach to understanding genetic variation and inheritance. His academic achievements, including numerous publications and invited lectures, demonstrate his leadership in advancing genetic research. Dr. Zubko’s dedication to exploring the intersections of genetics, evolution, and development makes him a highly deserving candidate for this prestigious award. 🏅🔬🌍

Education

Dr. Mikhajlo K. Zubko holds a Ph.D. in Genetics from the Institute of Molecular Biology and Genetics, Kiev, awarded in 1987. He completed his undergraduate studies at Kiev State University, earning an MSci Hons. in Genetics and a BA Hons. in Biology, with a focus on genetics, biochemistry, molecular biology, and microbiology. His academic journey also includes a Diploma in Public Faculty (Journalism) from Kiev State University in 1976. Dr. Zubko further enhanced his academic expertise with a Postgraduate Certificate in Academic Practice from Bridgewater Hall, Manchester, in 2010. This diverse educational background, combining both scientific and communication disciplines, has equipped Dr. Zubko with a unique perspective on genetic research and teaching. His qualifications have supported his extensive research career, where he has developed novel protocols and methodologies for studying genetic mechanisms and genome stability. 🎓🧬📚

Experience

Dr. Mikhajlo K. Zubko has a wealth of experience in both research and teaching. He has held academic positions at various universities, where he has taught undergraduate and postgraduate courses in genetics, molecular biology, and biochemistry. Dr. Zubko has also led international training courses on cell and genetic engineering in higher plants, sharing his expertise with the next generation of scientists. His research experience spans several decades, with notable contributions to the study of genetic mechanisms of biodiversity, genomic integrity, and the role of telomere maintenance in drug discovery. Dr. Zubko has supervised numerous undergraduate and postgraduate students, guiding them in their research projects and fostering academic growth. He has also been an invited speaker at universities and research institutes, delivering talks at international and national conferences. His extensive teaching and research experience make him a highly respected figure in the field of genetics. 🏫🔬🌍

Awards and Honors

Dr. Mikhajlo K. Zubko’s career has been marked by numerous awards and honors, recognizing his outstanding contributions to the field of genetics. He has been recognized for his work in the development of novel protocols for studying telomere length and antifungal resistance. Dr. Zubko’s research on the integration of genetic information and metabolic activities during growth and development has also garnered significant attention in the scientific community. His work on mitochondrial DNA recombination and the resilience of yeast cells to antifungals has provided important tools for genetic research. Dr. Zubko’s dedication to advancing the field of genetics has been acknowledged through invitations to speak at prestigious international conferences and universities. His ability to bridge the gap between basic research and practical applications has made him a highly respected figure in his field. 🏆🔬🌍

Research Focus

Dr. Mikhajlo K. Zubko’s research focuses on the genetic mechanisms of biodiversity, genomic integrity, and telomere maintenance. He has developed advanced methods for studying the impact of DNA damage and checkpoint control in yeast and other organisms. His work on mitochondrial DNA recombination has provided insights into the basic genetic mechanisms of recombination and inheritance. Dr. Zubko’s research also explores the interactions between nuclear and cytoplasmic genomes, examining how these interactions influence genome stability, development, and stress adaptation. He has pioneered the use of telomere length analysis as a tool for drug discovery, offering new opportunities for therapeutic interventions. Additionally, Dr. Zubko’s research delves into the links between evolution and development, shedding light on how genetic variation contributes to adaptation and resilience. His work on antimicrobial resistance from natural resources further emphasizes his commitment to understanding and solving critical biological challenges. 🌱🧬🔬

Publication Top Notes

Title: Enhanced Tolerance to Antifungals as a General Feature of Rho− Mutants in Yeast Species: Implications to Positive Selection of Respiratory Deficiency
- Date: 2025
Title: Short mre11Δ Telomeres of Saccharomyces Cerevisiae Do Not Shorten Further Under Thermal Stress, in Contrast to Long pif1Δ Telomeres: A Few Aspects of Implications
- Date: 2024
Title: Antimicrobial Potential of Pomegranate and Lemon Extracts Alone or in Combination with Antibiotics Against Pathogens
- Date: 2024
Title: Towards Sustainable Antimicrobials from Plants: Some Ways to Abridge Current Methodological Approaches
- Date: 2024
Title: Phloroglucinol-Enhanced Whey Protein Isolate Hydrogels with Antimicrobial Activity for Tissue Engineering
- Date: 2021

Mr. Hyston Kayange, Soongsil University, South Korea

Hyston Kayange is a dedicated researcher and IT professional from Malawi, currently pursuing a Master’s degree in Computer Science and Engineering at Soongsil University, South Korea. With a passion for machine learning and deep learning, Hyston specializes in designing advanced systems for personalized recommendations, particularly in health and fitness. His innovative work combines practical experience in ICT management with academic research, demonstrating a commitment to leveraging technology for impactful solutions. Hyston’s contributions to the field include publications and presentations at international conferences, establishing him as an emerging voice in deep learning applications.

Suitability Summary for Hyston Kayange for the Best Researcher Award

Hyston Kayange’s extensive research and contributions in the field of Machine and Deep Learning, particularly in personalized recommendation systems, position him as a strong candidate for the Best Researcher Award. His academic journey, beginning with a Bachelor’s degree in Computer Science from Daeyang University in Malawi and continuing with a Master’s at Soongsil University in South Korea, underscores his commitment to advancing his knowledge and expertise. During his studies, he has engaged in meaningful research that aims to enhance the accuracy of fitness and health-related recommendations through innovative deep learning methodologies.

Education 📚

Hyston Kayange is currently pursuing a Master of Science in Computer Science and Engineering at Soongsil University, Seoul, South Korea, since August 2022. His research focuses on personalized recommendation systems, with an emphasis on fitness applications under the guidance of Advisor Jongsun Choi. He previously earned his Bachelor’s degree from Daeyang University in Malawi (2017-2021), where he completed a significant project in computer vision aimed at facilitating communication between natural language speakers and the deaf, known as MTHANDIZI. Hyston’s educational background lays a strong foundation for his current research endeavors.

Experience 💼

Hyston Kayange brings a blend of academic and practical experience to his role. He served as an ICT Officer at United Civil Servant SACCO in Malawi from 2021 to August 2022, where he managed fintech systems, ensuring efficient operations and resolving user queries. Currently, he is an Assistant Researcher at Soongsil University, actively involved in advancing deep learning techniques for personalized recommendations. His research includes developing a method for adaptive feature selection in deep recommendation systems, aiming to enhance the accuracy of fitness recommendations and improve health outcomes through technology.

Awards and Honors 🏆

Hyston Kayange has been recognized for his contributions to the field of computer science, particularly in machine learning and personalized recommendations. His research has garnered attention at international conferences, showcasing his innovative approaches to deep learning. While specific awards may not yet be listed, his commitment to advancing technology in health and fitness through research demonstrates his potential for future accolades. As he continues his academic journey, Hyston is poised to make significant contributions to the field, which may lead to further recognition and honors.

Research Focus 🔬

Hyston Kayange’s research focuses on applying machine and deep learning techniques to develop personalized recommendation systems, particularly in health and fitness. His work emphasizes improving the accuracy of these systems through innovative methods like adaptive feature selection and hybrid modeling techniques. By leveraging deep learning frameworks, he aims to create systems that provide tailored recommendations, thereby enhancing user experience and promoting healthier lifestyles. Hyston’s research contributions are aimed at integrating advanced technology into practical applications that can significantly impact individual fitness journeys and health outcomes.