Nida Imtiaz | Developmental Biology | Best Researcher Award

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Dr. Nida Imtiaz | Developmental Biology | Best Researcher Award

Ningbo University | China

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👩‍🎓 NIDA IMTIAZ: A DEDICATED RESEARCHER IN AQUACULTURE AND MARINE SCIENCES

🎓 EARLY ACADEMIC PURSUITS

Nida Imtiaz embarked on her academic journey with a strong foundation in biological sciences. She pursued her education in Pakistan, obtaining:

  • Ph.D. (Dec. 2024) in Aquaculture from Ningbo University, China.
  • M.Phil. in Animal Genomics and Biotechnology from the PARC Institute of Advanced Studies in Agriculture, National Agricultural Research Centre (NARC), Islamabad, Pakistan.
  • M.Sc. in Zoology from PMAS Arid Agriculture University, Rawalpindi, Pakistan.
  • B.Sc. from the University of the Punjab, Lahore, Pakistan.
  • Intermediate (Pre-Medical) and Matriculation from BISE, Rawalpindi, Pakistan.

🌍 PROFESSIONAL ENDEAVORS

Nida Imtiaz has accumulated extensive research and professional experience in the fields of aquaculture, fisheries, and biological sciences. Her significant contributions include:

  • Internship at a reputed feed mill (Aug 2013 - Nov 2014).
  • Research Assistant in Animal Nutrition Laboratories at NARC Islamabad (Jan 2016 - Feb 2017).
  • Assistant Scientific Officer in the Aquaculture and Fisheries Program at NARC Islamabad (April 2017 - June 2018).
  • Extensive research on crab culture and embryogenesis, particularly with Scylla paramamosain and Portunus trituberculatus.

📝 CONTRIBUTIONS AND RESEARCH FOCUS ON DEVELOPMENTAL BIOLOGY

Her research primarily focuses on aquaculture, marine sciences, and biological sciences, with an emphasis on:

  • Embryonic development in mud crabs (Scylla paramamosian), analyzing morphological, physiological, and molecular dynamics.
  • Impact of noise on stress response in Portunus trituberculatus in land-based monoculture systems.
  • Comparative analysis of amino acid and fatty acid profiles in different Scylla species to unveil their nutritional benefits.
  • Aflatoxin contamination in animal feed and milk in Pakistan.
  • Aqua feed production for commercially important fish species.
  • Study of Parkinson’s disease prevalence and fungal skin infestations in human populations.

💪 IMPACT AND INFLUENCE

Nida Imtiaz has made substantial contributions to aquaculture research, particularly in the areas of:

  • Crustacean embryology and nutritional analysis, influencing sustainable aquaculture practices.
  • Enhancing feed quality and safety in Pakistan’s livestock industry.
  • Promoting bioinformatics and statistical modeling in fisheries and marine sciences.
  • Contributing to scientific knowledge through international conferences, seminars, and research collaborations.

🎯 ACADEMIC CITATIONS AND PUBLICATIONS

Her research findings are currently under submission in reputed scientific journals:

  • "Comparative transcriptome profiles across distinct developmental stages in Scylla paramamosain embryos" (Comparative Biochemistry and Physiology Part-D, 2024).
  • "Mutation Analysis of tp53 in colorectal cancer, Peshawar, Khyber Pakhtunkhwa, Pakistan." (International Journal of Biosciences).

🏆 AWARDS AND RECOGNITIONS

Nida Imtiaz has received multiple prestigious awards, including:

  • Zhuo Chuang Scholarship (2023) at Ningbo University, Zhejiang, China.
  • Chinese Government Scholarship (2019-onwards) for her Ph.D. studies at Ningbo University.

📚 CONFERENCES AND SEMINARS

She has actively participated in academic discussions and knowledge-sharing platforms:

  • 4th International Conference on Biological and Computer Sciences at Capital University of Science and Technology, Islamabad.
  • National Policy Dialogue on Aflatoxin Contamination of Milk in Pakistan.
  • Mountain-Specific Innovative Solutions Conference (2017) at NARC, Islamabad.
  • 12th Chinese Symposium on Crustacean Aquaculture (2023) in Ningbo, China.

📝 FUTURE CONTRIBUTIONS AND LEGACY

As a dedicated scientist, Nida Imtiaz aims to:

  • Advance research in marine and aquaculture sciences, particularly in sustainable fisheries.
  • Develop innovative solutions for aqua feed production to enhance food security.
  • Contribute to bioinformatics and computational biology for better understanding of genetic mechanisms in marine species.
  • Mentor and train young researchers, fostering future experts in biological sciences.

📑NOTABLE PUBLICATIONS 

"Lipid dynamics during embryonic development of Scylla paramamosain: Insights from lipidomics" 

  • Authors: N., Imtiaz, Nida , Y., Jiang, Yaqi , Y., Yangfang, Ye , M., Changkao, Mu , Q., Wu, Qingyang
  • Journal: Aquaculture
  • Year: 2025

Jaina Razbek | Epidemiology | Best Scholar Award

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Dr. Jaina Razbek | Epidemiology | Best Scholar Award

Xinjiang Medical University | China

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Jaina Razbek, Ph.D. Candidate 🩺📊

Pioneering Research in Tuberculosis Prevention and Genetic Epidemiology

EARLY ACADEMIC PURSUITS 🎓

Jaina Razbek embarked on her academic journey with a strong foundation in public health and epidemiology. She is currently pursuing her doctoral studies at the Department of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University. Her early academic training provided her with the skills to analyze disease patterns, conduct large-scale epidemiological studies, and develop statistical models for public health interventions.

PROFESSIONAL ENDEAVORS & RESEARCH PROJECTS 🔬📚

Jaina's research primarily focuses on tuberculosis prevention and control, genetic epidemiology, and health economic evaluations. She has actively contributed to various prestigious research projects, playing critical roles in data organization, statistical analysis, and causal inference modeling.

Notable Research Projects:

🔹 Health Economic Evaluation of Early Screening and Preventive Treatment for Latent Tuberculosis Infection (2023-2025): Investigating cost-effectiveness models for TB prevention strategies.
🔹 Evaluation of Tuberculosis Prevention Models in Southern Xinjiang (2023-2024): Analyzing key intervention factors using cohort and implementation science frameworks.
🔹 Causal Effect Evaluation of the ‘Xinjiang Model’ for TB Prevention (2025-2028): Studying the impact of TB control policies through RE-AIM and stepped-cluster randomized trials.
🔹 Role of Vitamin D in Latent Tuberculosis Infection (2021-2024): Conducting causal inference studies on the effects of vitamin D in TB progression.

CONTRIBUTIONS & RESEARCH FOCUS ON EPIDEMIOLOGY🔍📖

Jaina’s research has significantly contributed to understanding the genetic and epidemiological factors influencing tuberculosis and metabolic diseases. Her studies focus on:

✅ Tuberculosis Prevention & Control – Developing early screening methods and evaluating intervention effectiveness.
✅ Genetic Polymorphisms & Disease Susceptibility – Examining the role of vitamin D receptor gene polymorphisms in TB.
✅ Public Health Strategies – Enhancing disease prevention strategies through statistical modeling and health economics.
✅ Epidemiological Methods & Causal Inference – Applying advanced statistical frameworks to investigate complex disease mechanisms.

IMPACT & INFLUENCE 🌍

Jaina's research has played a vital role in shaping tuberculosis prevention strategies in high-incidence regions like Xinjiang. Her contributions to causal inference in genetic epidemiology have furthered the understanding of gene-disease interactions, helping predict disease susceptibility and treatment responses.

Her involvement in major national and provincial-level research projects underscores her ability to bridge theoretical epidemiology with practical public health solutions.

ACADEMIC CITATIONS & SCHOLARLY OUTPUT 📑

Jaina Razbek has published multiple high-impact research papers in SCI-indexed journals, demonstrating her scholarly excellence. Some of her most notable publications include:

📄 Vitamin D Receptor Gene Polymorphisms Differentiated Between Tuberculosis Disease and Infection – Published in Infection and Drug Resistance (2024).
📄 Association of Serum Levels of TNF-α, IL-10, IFN-γ, and CXCL5 with Latent Tuberculosis – Published in Infection and Drug Resistance (2024).
📄 Causal Association Study of Metabolic Syndrome Development Using Longitudinal Data – Published in Scientific Reports (2024).
📄 Dynamic Progression and Risk Assessment of Metabolic Syndrome Using a Multi-State Markov Model – Published in Diabetes, Metabolic Syndrome, and Obesity (2022).
📄 Xinjiang Metabolic Syndrome Risk Prediction Model Using Interpretable Models – Published in BMC Public Health (2022).

These contributions have earned her widespread recognition, with citations in public health and epidemiology research worldwide.

LEGACY & FUTURE CONTRIBUTIONS 🔮

Jaina Razbek's research has laid the groundwork for improving tuberculosis prevention strategies through genetic and economic evaluations. Moving forward, she aims to:

🌟 Advance the field of epidemiological modeling for infectious diseases.
🌟 Develop precision medicine approaches for tuberculosis based on genetic susceptibility markers.
🌟 Integrate AI-driven analytics into public health decision-making.
🌟 Mentor future epidemiologists and expand global collaborations in disease prevention research.

CONCLUSION 🏆

Jaina Razbek is an emerging leader in epidemiology and public health research, with a deep commitment to disease prevention and health policy optimization. Her innovative research, impactful publications, and dedication to public health continue to shape the future of tuberculosis control and epidemiological science.

NOTABLE PUBLICATIONS📑

"Causal association study of the dynamic development of the metabolic syndrome based on longitudinal data" 

  • Authors: Razbek, J. , Bao, L. , Zhang, Y. , Daken, M. , Cao, M.
  • Journal: Scientific Reports
  • Year: 2024

"Vitamin D Receptor Gene Polymorphisms Differentiated Between Tuberculosis Disease and Infection: Causal Association Study" 

  • Authors: Razbek, J. , Chen, Y. , Yang, J. , Aili, A. , Cao, M.
  • Journal: Infection and Drug Resistance
  • Year: 2024

"Association Studies of Serum Levels of TNF-α, IL-10, IFN-γ and CXCL 5 with Latent Tuberculosis Infection in Close Contacts" 

  • Authors: Razbek, J. , Daken, M. , Chen, Y. , Wang, X. , Cao, M.
  • Journal: Infection and Drug Resistance
  • Year: 2024

"Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome" 

  • Authors: Zhang, Y. , Zhang, X. , Razbek, J. , Daken, M. , Cao, M
  • Journal:BMC Endocrine Disorders
  • Year: 2022

"Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models" 

  • Authors: Zhang, Y. , Razbek, J. , Li, D. , Zhang, X. , Cao, M.
  • Journal: BMC Public Health
  • Year: 2022