Dr. Sumaira Mubarik – Cancer Science – Best Researcher Award

Dr. Sumaira Mubarik - Cancer Science - Best Researcher Award

University of Groningen - Netherlands

AUTHOR PROFILE

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EARLY ACADEMIC PURSUITS:

Summaira Mubarik embarked on her academic journey with a strong foundation in mathematics, statistics, and computer science. She pursued her Bachelor of Science degree from Punjab University, Pakistan, specializing in Mathematics, Statistics, and Computer Science, which laid the groundwork for her future academic pursuits. Following this, she completed her FSc in Mathematics, Statistics, and Computer Science from BISE, Rawalpindi, Pakistan, further honing her analytical skills and preparing for advanced studies.

PROFESSIONAL ENDEAVORS:

Building upon her educational background, Mubarik pursued higher studies in statistics, earning her Master of Science degree from Arid Agriculture University Rawalpindi, Pakistan, in 2009. Subsequently, she completed her M.Phil, specializing in Statistics, from the same institution in 2012, where she conducted research on Quantile Regression Analysis of Blood Pressure levels for different factors of Adults under the supervision of Dr. Abdush Shakoor. These endeavors marked her entry into the realm of statistical research and analysis.

CONTRIBUTIONS AND RESEARCH FOCUS ON CANCER SCIENCE

Mubarik's academic journey reached new heights when she pursued her PhD in Statistics at Wuhan University, China, from 2019 to 2021. Under the supervision of Prof. Chuanhua Yu, she delved into the domain of stochastic modeling and prediction of breast cancer risk transitions using the age-period-cohort framework. Her research not only showcased her expertise in applied statistics but also demonstrated a deep commitment to addressing critical issues in biostatistics and epidemiology.

IMPACT AND INFLUENCE:

Throughout her academic career, Mubarik has made significant contributions to the field of statistics, particularly in applied statistics, biostatistics, and disease modeling. Her research endeavors have the potential to impact public health policies and interventions aimed at mitigating the risk of breast cancer. Additionally, her work in stochastic mortality models and survival analysis holds promise for improving our understanding of disease progression and mortality patterns.

ACADEMIC CITATIONS:

Mubarik's research output has garnered attention and recognition within the academic community, as evidenced by her receipt of prestigious scholarships and awards. She was awarded the "Excellent International Student Award" from the Ministry of Education, China, in 2020, along with the Wuhan University Outstanding International Students Scholarship in 2020 and 2021 for her exceptional academic achievements.

LEGACY AND FUTURE CONTRIBUTIONS:

As an Assistant Professor at the University of Groningen, Netherlands, Mubarik continues to pursue her passion for statistics and research. Her expertise in pharma data science and statistics equips her to contribute significantly to the advancement of statistical methodologies in pharmaceutical research and healthcare. With a strong foundation in applied statistics and a focus on epidemiological modeling, Mubarik's future contributions hold the potential to shape the landscape of public health research and policy.

NOTABLE PUBLICATIONS

Estimating disparities of prostate cancer burden and its attributable risk factors for males across the BRICS-plus, 1990ā€“2019: A comparable study of key nations with emerging economies. 2024 (1)

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950ā€“2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. 2024 (5)

Global fertility in 204 countries and territories, 1950ā€“2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. 2024 (1)

Global, regional, and national burden of disorders affecting the nervous system, 1990ā€“2021: a systematic analysis for the Global Burden of Disease Study 2021. 2024 (4)

Temporal patterns of cancer burden in Asia, 1990ā€“2019: a systematic examination for the Global Burden of Disease 2019 study 2024

Assoc Prof Dr.Tiruveedula Gopi Krishna – Cancer Science – Best Researcher Award

Assoc Prof Dr.Tiruveedula Gopi Krishna - Cancer Science - Best Researcher Award

Adama Science and Technology University - Ethiopia

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EARLY ACADEMIC PURSUITS

Dr. Tiruveedula Gopikrishna began his academic journey in the field of Computer Science and Engineering. His early academic pursuits laid the foundation for his future contributions in the realm of technology and information sciences.

PROFESSIONAL ENDEAVORS

Having demonstrated a keen interest in the field, Dr. Gopikrishna embarked on a professional journey that led him to the position of Assistant Professor and subsequently Associate Professor at Adama Science & Technology University in Ethiopia. His commitment to academia reflects in his multifaceted roles and responsibilities.

CONTRIBUTIONS AND RESEARCH FOCUS ON CANCER SCIENCE

Dr. Gopikrishna's expertise encompasses a diverse range of subjects, including Data Science, Big Data, Artificial Intelligence, Machine Learning, Deep Learning, Distributed Systems, Data Warehousing, Data Mining, Cloud Computing, C, Python, C++, Java, Web Technologies, and SQL. His research focus extends to critical areas such as Big Data Analytics and Visualization, Software Testing Methodologies, Middleware, and the intersection of big data with cloud computing.

IMPACT AND INFLUENCE

Dr. Gopikrishna's impact is evident in the significant contributions he has made to the academic and research community. His influence extends beyond the classroom, shaping the minds of aspiring technologists and researchers under his guidance.

ACADEMIC CITES

The academic prowess of Dr. Gopikrishna is underscored by his extensive experience in teaching undergraduate and postgraduate subjects. He has been instrumental in guiding 56 undergraduate projects and supervising 4 master's degree theses, showcasing his commitment to fostering academic excellence.

LEGACY AND FUTURE CONTRIBUTIONS

As an Associate Professor, Dr. Gopikrishna has already established a legacy in academia. His dedication to shaping the next generation of tech professionals and researchers is evident. Looking forward, his future contributions are poised to further enrich the fields of Computer Science and Information Technology, leaving an indelible mark on the academic landscape.

NOTABLE PUBLICATIONS

An Improved Switch Migration Method Based Efficient Load Balancing for Multiple Controllers in Software Defined Network. 2023

DDoS Attack Detection and Classification Using Hybrid Model for Multi-controller SDN. 2023 (3)

Classification of Brain Tumor Types on Magnetic Resonance Images Using Hybrid Deep Learning Approach with Radial Basis Function Neural Network. 2022

Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model. 2022 (5)

Designing and Developing Bilingual Chatbot for AssistingEthio-Telecom Customers on Customer Services. 2022